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Description As a Senior Advanced AI Platform Engineer here at Honeywell you will lead the design and development of AI algorithms models and systems. You will act as the subject matter expert for AI projects and drive technical excellence. You will report directly to our Senior Director of Engineering and youll work out of our Atlanta GA location on a Hybrid work schedule. We are seeking a Senior Advanced AI Platform Engineer to join our Data Engineering AI & ML Platform team. This role is central to designing building and scaling the enterprise AI/ML platform that powers intelligent building automation across a global portfolio. You will work at the intersection of data engineering machine learning operations and edge AI building production-grade infrastructure that processes billions of IoT events from building management systems deploys models to edge devices and enables AI-driven applications including predictive diagnostics energy monitoring and RAG-based knowledge systems. This is a high-impact individual contributor role for someone who thrives in ambiguity ships production systems and can operate across the full stack from cloud-native platforms to edge GPU hardware. Responsibilities Key Responsibilities AI/ML Platform Engineering • Design build and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model training serving experiment tracking and feature store components., • Build and optimize data pipelines processing billions of time-series IoT events using Databricks Spark and streaming frameworks., • Implement ML orchestration workflows using LangGraph MLflow and custom orchestration layers for multi-agent AI systems., • Develop and maintain CI/CD automation for model deployment across cloud and edge environments. Edge AI & Inference • Architect and deploy AI inference services on edge GPU hardware for real-time building automation use cases., • Optimize model performance for edge constraints including quantization model distillation and inference acceleration., • Build containerized inference microservices that operate reliably in disconnected or low-bandwidth environments. Data & Knowledge Engineering • Work with semantic object models and building automation ontologies to map BMS point names to standardized equipment taxonomies., • Build and integrate knowledge graph pipelines supporting equipment classification fault diagnostics and energy optimization., • Develop RAG-based retrieval systems for product documentation and maintenance knowledge bases. Production Operations & Reliability • Own platform reliability for AI services serving multiple business units., • Implement observability monitoring and alerting for ML pipelines and inference services., • Drive cost optimization across data platform workloads cloud compute and storage infrastructure. Qualifications YOU MUST HAVE • Bachelors degree from an accredited institution in a technical discipline such as science technology engineering mathematics., • 8 plus years of experience in software engineering data engineering or ML platform engineering., • Strong proficiency in Python and at least one systems language (Go Rust or C Plus Plus)., • Deep hands-on experience with cloud-native data platforms (Databricks BigQuery Azure Data Lake Kubernetes)., • Production experience building and deploying ML/AI pipelines including model serving feature engineering and experiment tracking., • Experience with LLM application frameworks such as LangChain LangGraph or equivalent agentic AI orchestration tools., • Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms., • Familiarity with building automation protocols (BACnet Modbus) and IoT time-series data at scale., • Experience with knowledge graphs ontology engineering or semantic web technologies. WE VALUE • Advanced degree in Computer Science Artificial Intelligence or related field., • Background in building management systems HVAC energy management or industrial IoT domains., • Strong leadership and management skills., • Experience working in an agile development environment., • Proven ability to drive successful cloud development projects and initiatives., • Ability to work in a fast-paced and dynamic environment., • Attention to detail and excellent problem-solving capability. In addition to a competitive salary leading-edge work and developing solutions side-by-side with dedicated experts in their fields Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical Dental Vision and Life Insurance; Short-Term and Long-Term Disability; 401(k) match Flexible Spending Accounts Health Savings Accounts EAP and Educational Assistance; Parental Leave Paid Time Off (for vacation personal business sick time and parental leave) and 12 Paid Holidays. For more information visit:Benefits at Honeywell The application period for the job is estimated to be 40 days from the job posting date; however this may be shortened or extended depending on business needs and the availability of qualified Posting Date: February 13 2026. Due to compliance with U.S. export control laws and regulations candidate must be a U.S. Person which is defined as a U.S. citizen a U.S. permanent resident or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization. Required Experience: Senior IC Key Skills APIs,C/C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage Employment Type : Full-Time Experience: years Vacancy: 1

AboutSpendHQ SpendHQempowers procurement leaders at complex organizations to make important decisions with confidence by providinga single sourceof truth for spend data project tracking and performance management. By integrating the full procurement workflow from reliable spend and supplier data in Spend Intelligence to real-time project tracking in Performance Management teams can easily execute strategy and deliver on their goal related to cost savings ESG risk reduction compliance and more. Over 400 global organizations rely onSpendHQsplatform for visibility workflow organization and out-of-the-box reporting capabilities needed to accelerate procurements impact all in one intuitive interface. TheSpendHQSaaS platform has been on the market for over 10 years. Our clients are recognized as marketleaders from both mid-size organizations and large multinational corporations such as Coca Cola NikeBristol Myer SquibbThermoFischer and :// 20000SpendHQusers across 400 global clients. We proudly have over 120 team members in 10 countries with headquarters in both Atlanta GA and LyonFrance. But we are not stopping taking on new challengesand we look forward tocontinuing to grow the company and team. Role Overview SpendHQis building the next generation of its categorization and vendor-normalization enginean ensemble of AI rules and human-in-the-loop intelligence that powers our spend analytics platform. The Machine Learning Engineer will design and implement the production infrastructure to train deploy andmonitorthese models atscale. Youllpartner closely with Data Scientists and Data Engineers to translate experimental models into performant maintainable and auditable systems running in Snowflake and containerizedcomputeenvironments. Key Responsibilities • Design build andmaintainML pipelines for classification vendor normalization and enrichment models., • DevelopMLOpspractices including CI/CD for model deployment versioning and monitoring of accuracy and drift., • Implement feature-store and model registry logic that supports both global (multi-client) and customer-specific models., • Optimizemodel performance and inference cost across varying dataset sizes., • Build APIs and services that expose classification outputs and confidence scoring to theSpendHQplatform., • Collaborate with Product and Engineering to integrate model outputs into user-facing rule editors and dashboards., • Partner with Data Engineers to manage data ingestion and CoreDataModelmapping workflows used as model inputs., • 5 years of experience in ML engineering data engineering or applied AI roles., • Strong Python experience with ML frameworks (PyTorch TensorFlow scikit-learn)., • Experience building and deploying ML pipelines in AWS (S3 SageMaker ECS Lambda IAM)., • Experience building pipelines on cloud or Snowflake/Snowpark environments., • Familiarity with containerization (Docker/Kubernetes) GitHub Actions and CI/CD practices., • Experience deploying NLP or classification models in production., • Understanding offeature engineering and data quality in multi-tenant SaaS environments., • Collaboration skillsto support partneringwith data scientists engineers and analysts., • Familiarity with LLM integration for text classificationandentity resolution., • Interest in appliedMLOpsand active learning workflows., • Experience with procurement ERP or spend-data domains(preferred but notrequired)., • Model governance practices including version control auditability and access management.Why should you join us, • To join a successfulProcuretechscale-up company global leader in Spend Intelligence and Performance Management during a time of fast growth, • To be part of a passionate and collaborative team withstrong teamvalues, • To be empowered to be bold to take initiative and to grow into your role thedevelopment of your knowledge and skills will always be encouraged, • Autonomy and ownership in a high-growth global SaaS companyAtSpendHQ we are: Stronger Together Everyone playsan important roleatSpendHQ. We deliver more successthrough shared goals and mutual support. We work diligently to break down silos and collaborate. People Focused We care about those we work with and those we serve. We strive for strongresults but not at the expense of people. Our Best Every Day We act with authenticity integritydependabilityand empathy. We aretransparent with clients and each other. We foster an environment full of humble fun go-getters whoapproach every day as an opportunity to be their best. Customer Obsessed Our customers are the reason for our success. We work hard to providesolutions that make their lives easier and help them achieve extraordinary things. Bold in Action We believe in taking daring moves. We do everything with enthusiasm because weknow our work is meaningful. Whatdo youneed to knowSalarycommensuratewith experience. This is a full-time salaried position with a competitive benefits package: • Unlimited PTO, • Parental leave, • 401(k), • Health insurance, • Performance bonus, • Remote work policy, • Flexible working hours, • Equity Program Important notice:All legitimateSpendHQrecruiting communications comeonlyfrom email addresses ending in@and relate to roles posted on___

Pindrop is redefining trust in the digital age. Our patented voice and video authentication fraud detection and deepfake detection technologies protect some of the worlds largest banks insurers retailers and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices deepfakes face swapping and more our solutions stay ahead helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions and with $100M ARR were entering our next phase of innovation and growth backed by world-class investors including Andreessen Horowitz IVP and CapitalG. As a Senior Software Engineer you will play a critical role in the development and maintenance of software applications and systems. You will be responsible for leading and contributing to complex software projects providing technical expertise and mentoring junior engineers. You will expand capabilities and bring new solutions to market. As a member of the MLOps team you will be responsible for systems that train models and produce predictions. More specifically you will: • Software Development: Design develop test and maintain our complex software applications ensuring high-quality code and adherence to best practices. Play a critical role in the development and maintenance of our software products by designing building evolving and scaling state-of-the-art solutions for our Pindrop platform., • Technical Leadership: Provide technical leadership and guidance to junior engineers and the development team including code reviews architecture decisions and mentoring., • Architecture and Design: Contribute to the design and architecture of software systems ensuring scalability maintainability and performance, • Problem Solving: Analyze and solve complex technical problems and make recommendations for improvements and optimizations., • Quality Assurance: Implement and advocate for best practices in testing and quality assurance including unit testing integration testing and automated testing., • Code Review: Participate in code reviews and provide constructive feedback to ensure code quality and consistency., • Research and Innovation: Stay current with emerging technologies tools and programming languages and apply them where relevant to improve software development processes., • Security and Compliance: Ensure software adheres to security standards and compliance requirements addressing vulnerabilities and potential risks., • Design and implement cloud solutions build MLOps on cloud (AWS Azure or GCP), • Build CI/CD pipelines orchestration by GitLab CI GitHub Actions Circle CI Airflow or similar tools, • Data science model review: run code and refactor optimize containerize deploy version and monitor its quality, • Validate and add automated tests for Data Science models, • Work closely with a team of researchers and data scientists to productionize and document research innovations, • You are resilient in the face of challenges change and ambiguity, • You are optimistic and believe that you can make a problem into a solution, • You are resourceful excited to uncover innovative solutions and teach yourself something new when needed, • You take accountability do the things you say youll do under-promise and over-deliver, • You are a strong problem-solver with excellent analytical skills., • You are an owner and enjoy taking on project leadership as well as mentorship, • You are a strong verbal and written communicator, • Must Have, • 5-7 Years of Software Engineering experience, • Experience with cloud computing environments especially AWS and container-based deployment using Docker and Kubernetes, • Experience working with Python 2-3 years minimum, • Experience operating services in production environments, • A strong understanding of software design principles software architecture design patterns as well as software development best practices including testing version control and continuous integration, • Experience with infrastructure as code tools like Terraform or AWS CDK, • Experience in monitoring and performance of Production platforms using tech stacks and tools such as Datadog ELK Grafana Prometheus, • Participation in the on-call rotation is required, • Nice to Have, • Experience with Machine Learning frameworks and libraries such as XGBoost SciKit-Learn H2O TensorFlow PyTorch Keras Spark MLlib, • Experience with leading industry Machine Learning tools and operation frameworks such as MLflow Kubeflow Airflow Seldon Core TFServing, • Experience building microservices and RESTful APIs 0-30 (Acclimating) • Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers, • Onboard in the MLOps Team, • 1:1s with all the team members, • Be a part of planning and contribute to the smaller tasks to fix existing issues, • Be a part of triaging only the most important issues for the team to be focusing on, • Fully acclimated with the team, • Be able to pick up any task that comes out of sprint planning, • Be able to design enhancements to the ML platform, • Competitive compensation including equity for all employees, • Unlimited Paid Time Off (PTO), • Generous health and welfare plans to choose from - including one employer-paid employee-only plan!, • Best-in-class Health Savings Account (HSA) employer contribution, • Affordable vision and dental plans for you and your family, • Employer-provided life and disability coverage with additional supplemental options, • Paid Parental Leave - Equal for all parents including birth adoptive & foster parents, • Give your newest addition to the family one year of diaper delivery! Its our way of welcoming new Pindroplets to the family!, • Identity protection through Norton LifeLock, • Remote-first culture with opportunities for in-person team events, • Recurring monthly home office allowance, • When we need a break we keep it fun with happy hours ping pong and foosball drinks and snacks and monthly massages!, • Remote and in-person team activities (think cheese tastings chess tournaments talent shows murder mysteries and more!), • Company holidays, • Annual professional development and learning benefit, • Pick your own Apple MacBook Pro, • Retirement plan with competitive 401(k) match, • Audaciously Innovate - We continue to change the world and the way people safely engage and interact with technology. As first principle thinkers we challenge standards take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible., • Evangelical Customers for Life - We delight inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers and our customers become our champions creating a universal commitment to one another., • Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time., • Win as a Company - Every time we win we win as a company. Every time we lose we lose as a company. We break down silos support one another embrace diversity and celebrate our successes. We are better together. Here at Pindrop it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer all qualified applicants receive consideration for employment without regard to race color age religion sex gender gender identity or expression sexual orientation national origin genetic information disability marital and/or veteran status. Required Experience: Senior IC Key Skills Spring,.NET,C/C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems Employment Type : Full Time Experience: years Vacancy: 1

Peraton Labs is seeking a poly cleared Software Research Engineer to join our team conducting advanced research at a customer site in Maryland. This role blends hands-on software development with applied research supporting rapid prototyping integration into complex environments and performance-driven algorithm implementation. The ideal candidate is technically strong curious and comfortable working across research engineering and customer-facing deliverables. Work within this position spans research prototyping integration test/evaluation and delivery of technical artifacts. This position requires full-time on-site work at a customer site near College Park MD. Key responsibilities may include: • Design develop and modify software systems, • Integrate existing software into new or modified systems and operating environments, • Conduct RFML research and/or develop signal processing algorithms for wireless systems, • Support SDR-based experimentation and prototyping efforts as needed, • Design/implement complex database or data-repository interfaces and develop data queries for existing or proposed repositories, • Contribute to data workflows supporting experimentation evaluation and repeatable analysis, • Assist with developing and executing test procedures for prototype components and software releases, • Communicate technical results via customer presentations technical documentation and publications, • Produce design documents simulation reports and system documentation, • Collaborate with researchers and engineers to refine requirements and translate research goals into working prototypes, • Minimum of 3 years of experience and a Bachelors 1 years and a Masters or a PhD in Computer Science or related lieu of a Bachelors degree 4 additional years of experience is required for a total of 7 years of experience., • Strong hands-on proficiency in Python and at least one of C/C Java or Go (exposure to all is a plus), • Experience or strong interest in one or more of the following domains:, • RF Machine Learning (RFML) machine learning algorithm development, • Digital Signal Processing (DSP), • Software Defined Radio (SDR) / RF software engineering, • Experience with modern ML frameworks/platforms (e.g. PyTorch TensorFlow Keras) and applying them in practical workflows, • Strong ability to write/maintain technical documentation and communicate results (written and verbal), • US Citizenship with an active/current TS/SCI w/ Polygraph is required Preferred qualifications • Prior experience delivering results in a customer-facing R&D environment (briefings demos technical exchanges publications), • Familiarity with secure development practices in restricted environments (e.g. hardened enclaves controlled repos offline build patterns), • Familiarity with SDR platforms and tooling such as Ettus USRP devices GNU Radio and SDR-based test setups, • Experienced with advanced signal processing concepts (e.g. Multiple-antenna (MIMO) methods distributed signal processing array processing channel estimation interference mitigation, • Experience with design development test verification and certification of operational software (including evidence-driven testing and documentation), • Experience designing or implementing database/repository interfaces including performance-oriented querying (SQL and/or NoSQL) schema design and data pipeline awareness, • Experience supporting engineering best practices and research-to-prototype workflows:

Your work days are brighter here. Were obsessed with making hard work pay off for our people our customers and the world around us. As a Fortune 500 company and a leading AI platform for managing people money and agents were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll feel it. Not just in the products we build but in how we show up for each other. Our culture is rooted in integrity empathy and shared enthusiasm. Were in this together tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well give you the trust to take risks the tools to grow the skills to develop and the support of a company invested in you for the long haul. So if you want to inspire a brighter work day for everyone including yourself youve found a match in Workday and we hope to be a match for you too. About the Team The Payroll ML team is seeking an energetic and determined Devops Engineer to design implement and deliver highly scalable features. As a member of this fast paced group you will have a unique and rewarding opportunity to shape and contribute towards services that power Workday Payroll Machine Learning features in production. You will partner with Data Scientists ML Engineers and other Software Engineers to create the technology that brings these features to life. About the Role This role will support one or more direct or indirect contracts with the U.S. Federal Government which due to federal government security requirements mandates that all Workday personnel working on the contracts be United States citizens (naturalized or native). Key Responsibilities : * Developing frameworks automation and tooling to foster a culture of efficiency and innovation. * Apply technologies like Kubernetes Docker and Python to enhance developer scalability in creating innovative ML Runtime Inference applications. * Implementation and operation of distributed systems and software development including the conception specifying designing programming documenting testing and bug fixing involved in creating and maintaining applications frameworks or other software components. * Developing products and services that empower developers to streamline their interactions with the ML platform. * Working with public clouds (such as IAAS AWS GCP) and applying capacity management principles. * Deploying and orchestrating containers in production environments including technologies like Containers Kubernetes Service Mesh ArgoCD and related tools. * Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions. * Own and develop features from end to end including infrastructure as code. * Research evaluate prototype and drive adoption of new ML tools with reliability and scale in mind * Strong dedication to proactively addressing and resolving issues automating processes and empowering engineers to self-service their operational needs for improved productivity. * Availability for on-call support on a rotational basis. About You We need creative and dedicated Software Engineers like you who really want to move the needle! You should enjoy working on projects that can significantly improve developer satisfaction and save the company millions of dollars. By nature you are inquisitive and ready to question the status quo. You have a passion for exploring and implementing innovative techniques and approaches to solve complex and challenging problems. Most importantly of all you are a superlative collaborator and teammate and bring out the very best in everyone. You feel happiest when working with a highly capable and motivated team of people passionate about software and technology. Basic qualifications: * 3 or more years of DevOps experience including Infrastructure automation building CICD pipelines. * Verifiable proficency in System design and writing comprehensive technical design docs * 3 or more years of demonstrated experience in Python programming. * The proven ability to design implement and maintain robust DevOps pipelines for deploying monitoring and scaling machine learning runtime environment. * Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products. * Collaborate with other Machine Learning teams to improve not just the product but efficiencies in engineering processes. Other Qualifications: * Machine learning background. * Experience with communication protocols RESTful services service-oriented architecture distributed systems and microservices. * Building comprehensive monitoring services. * Prior experience with enterprise SaaS products. * Experience with monitoring tools like Grafana. * Passion for creating and maintaining documentation and fixing run books. * Availability for on-call support on a rotating basis. * Proficiency in infrastructure automation tools like Terraform implementing CI/CD pipelines using Git and Jenkins and applying continuous deployment tool such as ArgoCD * BS/MS in Computer Science or a related technical field. * Excellent problem-solving skills with a focus on creating and maintaining accurate documentation. * Experience in leading or mentoring other team members and proven team collaboration experience i.e. understanding group dynamics effective communication strategies conflict resolution techniques and the ability to foster a positive and inclusive team. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please ___

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like where youll be supported and inspired bya collaborative community of colleagues around the world and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable more inclusive world. 8-10 years of relevant experience across AI data science and application development Role Overview We are seeking a Senior Prompt Engineer / AI Specialist / Technical Analyst to support enterprise scale Generative AI and LLM based solutions including Service Assist AI and Agent Desktop aligned initiatives. This role focuses on prompt engineering model integration AI workflow design and full stack enablement working across multiple AI models and platforms including OpenAI and other enterprise LLM providers. The ideal candidate must have data science and machine learning foundations with strong Python and full stack engineering skills with Angular and can translate business problems into effective secure and scalable AI powered solutions. Must Have 8-10 years of experience across AI data science machine learning or full stack engineering roles. Strong hands on experience with LLMs and prompt engineering. Experience integrating OpenAI and other AI/LLM platforms via APIs. Strong proficiency in Python for AI workflows services and data processing. Solid understanding of data science and ML fundamentals (model evaluation feature engineering experimentation). Full stack exposure with Angular HTML CSS and TypeScript. Core Banking or Financial/Wealth management domain working experience required Good to Have Experience with Service Assist AI conversational AI or agent assist platforms. Exposure to embeddings vector databases or RAG architectures. Familiarity with AI governance responsible AI frameworks and risk controls. Cloud or AI platform certifications. The base compensation range for this role in the posted location is: 85440 - 95440 Capgemini provides compensation range information in accordance with applicable national state provincial and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini in good faith believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include but are not limited to: Geographic location Education and qualifications Certifications and licenses Relevant experience and skills Seniority and performance Market and business consideration Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary this role may be eligible for additional compensation such as variable incentives bonuses or commissions depending on the position and applicable laws. Capgemini offers a comprehensive non-negotiable benefits package to all regular full-time employees. In the U.S. and Canada available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F) defined by policy: Vacation: 12-25 days depending on grade Company paid holidays Personal Days Sick Leave, • Medical dental and vision coverage (or provincial healthcare coordination in Canada), • Retirement savings plans (e.g. 401(k) in the U.S. RRSP in Canada), • Life and disability insurance, • Employee assistance programs Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness accessibility inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race national origin gender identity/expression age religion disability sexual orientation genetics veteran status marital status or any other characteristic protected by law. This is a general description of the Duties Responsibilities and Qualifications required for this position. Physical mental sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. ___

Our Story: Dover Food Retail (DFR) is a leading manufacturer of Display Cases Specialty Products Refrigeration Systems Power Systems and Comprehensive Services; and leading our industry by Innovating Whats Next in glass doors and intelligent merchandising technologies that keep food safe under brands such as HillPhoenix and Anthony. DFR is part of the Climate & Sustainability Technologies segment of the Dover Corporation (NYSE: DOV). Dover is a diversified global manufacturer with annual revenues in excess of $7 billion. DFR is built on creativity and customer-centric innovation delivered by people invigorated by a strong sense of responsibility to help our customers win in their marketplaces. The relationships we build with our customers are as important to our success as the products we manufacture. This collaborative environment delivers FRESH THINKING reassuring our customers that they choose the best when they choose to work with the people of Dover Food Retail. Job Title: Lead R&D Engineer Location: Conyers GA What were looking for: We are seeking a motivatedR&D Engineer to develop diagnostic solutions to improve the customers experience with commercial and industrial refrigeration systems. What youll be responsible for in this role: • Research and develop innovative designs and control schemes to optimize the performance of commercial and industrial CO2 refrigeration systems, • Develop control algorithms to improve the quality and reliability of the CO2 systems, • Model and experimentally validate the proposed solutions, • Collaborate with the Controls team to implement the proposed solutions What are the basic qualifications • Ten years of experience developing commercial and industrial refrigeration systems., • Five years of experience developing R744-based refrigeration and heat pump systems., • One year of experience developing related diagnostic solutions., • PhD in Mechanical Engineering. What are the preferred qualifications • Strong academic background in thermodynamics and heat transfer, • Experienced in system modeling software e.g. Python Matlab, • Experience with design test rigs and experimental validation To be a great fit for the role: • Knowledge of controls theory, • Experience with AI machine learning How We Define Our Values and Why You Should Join Our Team: The backbone behind our collection of outstanding businesses is a team of dedicated employees who protect and enhance our valued reputation for quality and delivering what we promise. Its our values that define Dover to all of our key audiences: our shareholders customers prospective employees and especially to ourselves. These values must be expressed in our work and embody our actions as they form the basis by which we do our jobs make decisions and measure our performance. Its our unwavering commitment to maintaining our values that defines who we are as a Company. • Collaborative Entrepreneurial Spirit, • Winning Through Customers, • Respects and Values People, • Expectations for Results, • High Ethical Standards Openness and Trust Whats in it for you • Medical Dental and Vision, • 401k Retirement Plan, • Flexible Spending, • Paid Holidays #SWE #LI-CW2 The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities duties and skills required of personnel so classified. Furthermore they do not establish a contract for employment and are subject to change at the discretion of the Company. Dover Food Retail is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without discrimination based on race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other factors prohibited by law. Required Experience: IC Key Skills Laboratory Experience,Vendor Management,Design Controls,C/C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development Employment Type : Full Time Experience: years Vacancy: 1

Senior Firmware & Algorithms Engineer WHO WE ARE SwipeSense is a healthcare technology company on a mission to eliminate harm and waste in medicine. Hospitals use our platform to prevent infections make better use of their equipment and improve the patient experience. We believe in the power of data and partner with hospital teams to provide them with insights to sustain positive behavior change and deliver a predictable patient journey. We value relentless experimentation a locked-arms attitude and a shared purpose to improve the future of healthcare. Our vision is to be the safety platform for hospitals with a growing number of applications such as hand hygiene compliance improvement asset tracking nursing insights and contact tracing. WHO WE NEED Were looking for a Senior Firmware & Algorithms Engineer who will own the design implementation and optimization of embedded firmware and intelligent data processing algorithms powering our products. This role bridges hardware interaction real-time embedded systems and algorithm development including applied machine learning for sensor data and device intelligence. In this role youll work deeply in the SwipeSense device/networking stack including Bluetooth (adv GATT) Bluetooth mesh Zigbee and Thread (IPv6/6LoWPAN) building and improving both the embedded platform and the algorithms that drive real-time location systems (RTLS) reliably at scale. PRIMARY RESPONSIBILITIES • Architect develop and maintain firmware for embedded devices in collaboration with hardware and software teams., • Design and implement algorithms for real-time data processing sensor fusion and machine learning inference on edge or companion systems., • Build and optimize RTLS and proximity/location algorithms (e.g. RSSI/spatial strategies filtering on-device feature extraction) and partner on validation in real deployments., • Develop maintain and improve mesh/networking behavior across Bluetooth and Thread-based systems (provisioning relaying/routing strategy reliability in noisy environments)., • Optimize performance and power consumption while ensuring reliability and maintainability across hardware variants., • Develop automated testing validation frameworks and CI flows for firmware and algorithm code., • Participate in architectural reviews code reviews and mentor junior engineers., • Contribute to device security patterns used in the stack (e.g. certificate-based device authentication flows over BLE). Required • Bachelors or Masters in Computer Science Electrical/Computer Engineering Applied Mathematics/Physics or a related field., • 5 years of experience in firmware development for embedded systems preferably on microcontrollers or SoCs., • Strong C programming skills; expertise in Python for tooling data processing or ML workflows., • Experience building and deploying algorithms including data processing signal processing or machine learning in real-world systems., • Solid understanding of embedded hardware interfaces (I2C SPI UART ADC/DAC) RTOS concepts and debugging tools., • Practical experience with Bluetooth (advertising GATT) and at least one mesh/networking stack; ability to reason about real RF constraints in the field., • Hands-on experience with Bluetooth Mesh and/or Thread (802.15.4) including provisioning/commissioning and network reliability at scale., • RTLS experience (e.g. RSSI-based ranging calibration/validation workflows filtering and false-positive reduction in real deployments)., • Familiarity with embedded ML model deployment (TinyML / on-device inference)., • Experience with CI/CD for firmware and automated testing suites., • Knowledge of wireless communication stacks (BLE Wi-Fi) and security best practices., • Familiarity with AWS services including SNS SQS and S3. Please note: position is a full-time exempt and in-person operating in US eastern time in the Atlanta Metro area. SwipeSense offers competitive compensation and excellent medical and dental benefits. M/F/D/V Candidates must be a US Citizen or a foreign citizen with a required work visa. Required Experience: Senior IC Key Skills Illustration,Logistics & Administration,Advertisement,Community Support,Drafting,Maintenance Engineering Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Yearly Salary Salary: 160 - 200

We are seeking a highly skilled and motivated engineer to join our dynamic team and leverage your Aero and Thermal expertise to configure and deploy digital twin software products for power this role you will implement new commercially reusable analytics solutions for production systems either on-premises or in the cloud to gather valuable insights from customer assets and provide expert operational advice. Your responsibilities will include performing in-depth data analysis using a variety of data sources utilizing a standard suite of platforms modules and algorithms and developing code components configurations and digital twin solutions tailored for power plants. You will be required to bring your Gas Turbine Combustion Engineering and Thermal Performance expertise to the table driving consistent functional specifications and common global processes for project implementations. Your role will involve activities aimed at better understanding and ultimately meeting customer expectations responsible for departmental operations planning and execution or focused on the execution of professional activities within a technical discipline. Roles and Responsibilities: • Contribute to the implementation of Emissions and Generation Performance management solutions utilizing the Software Suite., • Own technical deliverables during the entire lifecycle of the projects., • Engage throughout the full lifecycle of assigned projects participating in decisions on architecture design and functionality to keep programs on track in terms of budget time and customer expectations., • Provides Gas Turbine Combustion and Thermal Performance technical expertise and develops technical solutions (configuration model tuning performance estimation etc.) as part of the pre-ITO (requisition) process while interfacing with the commercial team and customers., • Possesses a deep understanding of relevant markets and customer economic value that aid winning bid strategies., • Has knowledge of best practices and how own area integrated with others; is aware of the competition and the factors that differentiate them in the market., • Uses some judgment and has some ability to propose different solutions outside of set parameters to address more complicated power generation processes with technical variety and/or interdependent production cycles., • Uses technical experience and analytical thinking., • Uses multiple internal and limited external sources outside of own teams to arrive at decisions., • Acts as a resource for colleagues with less experience., • May lead small projects with low risks and resource requirements., • Explains information developing skills to bring team members to consensus around topics within field., • Conveys performance expectations and may handle sensitive issues., • Apply machine learning and first principle models to capture complex processes in generation, • Use Python to develop production ready analytics to produce insights into historical and real-time operations., • Provide communication training documentation and change management deliverables required to increase adoption., • Find and interpret data sources manages large amounts of data merges data sources together ensures consistency of data-sets creates visualizations to aid in understanding data and communicates insights / findings in simplified way to reach people who do not understand complex statistics., • Work closely with the client to understand their needs and develop strategies tailored to their organization through site assessments., • Also make standard recommendations on workflow application interface reports testing and uploads to customers through the implementation process. Is responsible for go-live readiness and support as well as post-live checkups and will be required to work collaboratively with internal team members and clients to ensure customer satisfaction. Required Qualifications: • Bachelors Degree in Mechanical Engineering Aerospace Engineering Electrical Engineering Data Science or related field from an accredited university or college, • Minimum 5 years of professional experience in a related engineering or technical role with a focus on power generation gas turbine combustion or thermal performance. Technical Skills: • Proficiency in Python programming and data science techniques., • Experience with machine learning algorithms and first principle models., • Strong background in modeling and process control., • Familiarity with data visualization tools and techniques., • Experience in handling large datasets ensuring data consistency and merging data sources. Domain Expertise: • Deep understanding of gas turbine combustion and thermal performance., • Knowledge of best practices in power generation and relevant markets., • Awareness of competitive landscape and differentiating factors in the market. Desired Characteristics: • Strong communication skills to convey complex technical information in a simplified manner., • Ability to provide training documentation and change management deliverables., • Skill in explaining information and bringing team members to consensus around technical topics., • Experience working closely with clients to understand their needs and develop tailored strategies., • Experience in owning technical deliverables throughout the project lifecycle., • Ability to participate in decisions on architecture design and functionality to keep projects on track in terms of budget time and customer expectations, • Experience leading small projects with low risks and resource requirements. #LI-SG1 GE Vernova offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is an______

Job Title: AI / ML Engineer Location: Alpharetta GA Long Term Project Only W2 No C2C Job Description: We are seeking a highly skilled AI/ML Engineer to design develop and deploy scalable machine learning models and AI-driven solutions. The ideal candidate will work closely with data scientists software engineers and business stakeholders to deliver impactful AI products. Key Responsibilities: Design develop and deploy machine learning models and AI solutions Build end-to-end ML pipelines (data ingestion training validation deployment) Work with structured and unstructured data from multiple sources Optimize model performance scalability and reliability Collaborate with cross-functional teams to translate business needs into ML solutions Implement MLOps best practices for model monitoring and retraining Stay updated with the latest AI/ML research and industry trends Required Qualifications: Bachelors or Masters degree in Computer Science Engineering Data Science or related field Strong experience with Python and ML frameworks (TensorFlow PyTorch Scikit-learn) Hands-on experience with machine learning algorithms deep learning NLP or computer vision Experience with SQL/NoSQL databases Strong understanding of data structures algorithms and statistics Experience working with REST APIs and model deployment Preferred Qualifications: Experience with cloud platforms (AWS GCP or Azure) Knowledge of Docker Kubernetes and CI/CD pipelines Familiarity with MLOps tools (MLflow Kubeflow SageMaker) Experience in LLMs GenAI or NLP use cases Prior experience in fintech healthcare or enterprise-scale systems Soft Skills: Strong problem-solving and analytical skills Excellent communication and collaboration abilities Ability to work independently and in fast-paced environments Best Regards Tarun K Phone: 1- Email: Key Skills ASP.NET,Health Education,Fashion Designing,Fiber,Investigation Employment Type : Full Time Experience: years Vacancy: 1

Job Title:Structural Engineer Position Summary Pay Rate - $45-$60/hour Adidev is seeking a motivated and detail-oriented Civil Engineer to plan design and oversee a wide range of infrastructure and civil works projects including transportation systems bridges buildings site development utilities and water/wastewater facilities. This role blends office-based design and analysis with hands-on field oversight offering the opportunity to see projects through from concept to completion while ensuring quality safety sustainability and regulatory compliance. You will collaborate with multidisciplinary engineering teams public agencies and contractors to deliver reliable infrastructure that serves communities and supports long-term growth. About Adidev Adidev Technologies is an engineering and professional services firm supporting infrastructure construction public works and information technology projects across the United States. We hire and support both Civil Engineering and IT professionals including Mobile Developers and Machine Learning Engineers and partner with municipalities transportation authorities utilities and leading private-sector organizations to deliver high-quality practical solutions. Our teams have supported projects and initiatives for public agencies and industry leaders including state Departments of Transportation (DOTs) municipal public works agencies and technology-driven organizations such as Delta Google Apple Spotify US Bank and FedEx as well as major engineering and construction firms. Adidev delivers innovative data-driven solutions that modernize infrastructure improve efficiency and strengthen the communities our clients serve. We focus on practical field-tested solutions and pride ourselves on collaboration technical excellence and delivering projects that make a measurable impact. Key Responsibilities -Review survey reports maps plans and technical data to support infrastructure design -Perform engineering calculations (structural geotechnical hydraulic and transportation) -Prepare drawings plans and specifications using CAD/BIM and engineering tools -Develop cost estimates schedules and project budgets -Obtain permits and ensure compliance with federal state and local regulations -Conduct site visits to monitor construction progress and ensure adherence to design specifications -Coordinate with contractors inspectors agencies and stakeholders -Identify risks resolve field issues and recommend engineering improvements -Maintain documentation including reports design changes and inspections -Support projects from concept development through construction and closeout -Pursue and/or maintain professional licensure (PE preferred) Qualifications / Skills -Bachelors degree in Civil Engineering or related field (Masters preferred for some roles) -Strong foundation in one or more disciplines: structural transportation geotechnical water resources or environmental engineering -Proficiency with AutoCAD Civil 3D BIM or similar engineering software -Understanding of codes standards permitting processes and regulatory requirements -Strong analytical and problem-solving abilities -Effective written and verbal communication skills -Comfortable working both in office and field environments -Project coordination budgeting and scheduling experience -Interest in sustainable resilient and community-focused infrastructure design -EIT or PE licensure (preferred or in progress) Working Conditions -Combination of office and field work -Site visits and outdoor work required -Full-time schedule with occasional extended hours based on project needs -Travel or relocation may be required depending on assignments -Perks and Benefits -Competitive salary based on experience and market value -Paid relocation assistance -Flexible and hybrid work options when project schedules allow -Professional development and continuing education support -Licensing and certification reimbursement -Regular performance and salary reviews -Opportunity to work on meaningful infrastructure projects that directly impact communities Ready to Build the Future If youre passionate about designing and delivering infrastructure that improves everyday life wed love to hear from you. Submit your resume along with examples of projects youre proud of. Join Adidev and help shape stronger smarter communities through engineering excellence. Required Experience: IC Key Skills Stress Analysis,Structural Design,Structural Engineering,Structural Steel,Mathcad,Engineering designs,Aerospace,CAD,Construction Documents,Autocad,Engineering Drawings,Structural Analysis,Layouts,Catia,ANSYs Employment Type : Full-Time Experience: years Vacancy: 1 Hourly Salary Salary: 45 - 60

Stay connected: When projects need Machine Learning Engineering expertise, we match you to opportunities based on your expertise and project needs. About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Contract Type: Project-Based (Short-Term, Extendable) Role Overview: collaborating with a leading AI research lab to support the evaluation of advanced machine learning systems. We are seeking experienced machine learning engineers and researchers to contribute to the design of high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks. The work focuses on translating practical ML research and engineering workflows into structured benchmarks for frontier models. This is a project-based, remote opportunity suited for experts with hands-on ML research experience. Key responsibilities * Design and write detailed evaluation suites for machine learning engineering tasks * Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation Ideal qualifications * 3+ years of experience in machine learning engineering or applied ML research * Hands-on experience with model development, experimentation, and evaluation * Background in ML research (industry lab or academic setting strongly preferred) * Strong ability to reason about ML system design choices and tradeoffs * Clear written communication and high attention to technical detail We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor., • This is a fully remote role that can be completed on your own schedule., • Projects can be extended, shortened, or concluded early depending on needs and performance., • Your work atwill not involve access to confidential or proprietary information from any employer, client, or institution., • Payments are weekly on Stripe or Wise based on services rendered.

We are looking for a Senior Sales Engineer - AI to join our team. Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals. In this role, you'll combine deep technical expertise in Machine Learning and Ge

We are looking for a passionate machine learning expert to lead design and development of next-gen video intelligence efforts that drive key applications powered by multimodal video understanding. Architect, build and scale computer vision and multimodal capabilities to support video understanding u

You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. You will join teams focused on developing advanced data pipelines, machine learning infrastructure,

This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. T

The AI/ML Engineer is responsible for designing, developing, and deploying scalable artificial intelligence and machine-learning solutions that enhance customer interactions, automate decision-making, and improve operational efficiency. This role involves building intelligent workflows, predictive m

We are seeking a full-time AI/CAD Software Engineer to join our team. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware. Software Engineering Excellence: Establish best practices including comp

Software Engineer (Technical Leadership) - Machine Learning Responsibilities:. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply. Bachelor's degree in Computer Science, Computer Enginee

Computer Vision Engineer/Data Scientist. Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services. Collect, clean, and preprocess visual data to be used in machine learning

You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. You will join teams focused on developing advanced data pipelines, machine learning infrastructure,

Job Description Heritage Distribution Holdings is building a next-generation business management platform from the ground up — and we’re looking for a hands-on Senior Data Engineer to deliver and scale our data strategy. As we grow rapidly through mergers and acquisitions, we face a rich and complex data environment. This role will be central to cleaning, unifying, and powering data flows across the enterprise. You’ll work primarily on building and maintaining production-ready pipelines, cleaning and standardizing datasets, and ensuring data quality — while also contributing to the long-term design of our data architecture. We operate on an Azure-based infrastructure with a PostgreSQL backend and Python-scripted ETL pipelines. You’ll collaborate with engineering, finance, and operations teams to make our data reliable, scalable, and analytics-ready. Key Responsibilities and Tasks • Clean, standardize, and integrate large, messy datasets from diverse ERP, finance, and operational systems, applying AI-driven approaches for anomaly detection, data quality monitoring, and metadata enrichment., • Maintain and optimize relational database schemas (PostgreSQL), including materialized views for transactional and reporting systems., • Build and maintain ETL pipelines using Python, Airflow, DBT and related tooling — leveraging AI-powered developer tools (e.g., Copilot, Claude, Cursor) to accelerate coding, testing, and documentation., • Establish and enforce data quality rules, validation logic, and monitoring standards., • Create database connections and integrations between PostgreSQL and Microsoft applications., • Document data models, pipelines, and business logic to ensure scalability and knowledge sharing., • Collaborate with business stakeholders to understand data requirements and deliver actionable solutions., • Contribute to data governance practices, including metadata management and access controls., • Design data models to support complex ERP and operational domains., • Support vendor management and coordinate contributions from internal and external implementation teams. Educational Requirements: Preferred: Bachelor’s degree in Computer Science, Data Engineering, or related STEM field (Not Required) Years of Experience: 8+ years of experience in data engineering or database architecture roles; nice to have: 2+ years in a lead or architect capacity Knowledge / Skills / Abilities: • Strong experience with relational database design (PostgreSQL preferred), • Deep understanding of Modern ELT/ETL best practices and tools (Python, Airflow, dbt, etc), • Experience designing databases and integrations for ERP system, • Direct experience using modern AI development tools like Copilot, Claude, or Cursor to accelerate coding, testing, and documentation.”, • Preferred: Familiarity with applying AI/ML services in Azure (e.g., Cognitive Services, Azure Machine Learning) for advanced data engineering use cases., • Preferred: Experience in Distribution or transactional accounting

Job DescriptionCompany Description At Sectigo, we align around our mission and pride ourselves in helping thousands of customers sleep better at night. Sectigo is the most innovative provider of certificate lifecycle management (CLM), delivering comprehensive solutions that secure human and machine identities for the world’s largest brands. Sectigo’s automated, cloud-native CLM platform issues and manages digital certificates across all certificate authorities (CAs) to simplify and improve security protocols within the enterprise. Sectigo is one of the largest, longest-standing, and most reputable CAs with more than 700,000 customers and two decades of delivering unparalleled digital trust. “When people think Online trust management, they think Sectigo because we offer our customers unparalleled peace of mind.” How we show up with each other and our customers every day is just as important, and we win as #OneSectigo by living out our core values - Support, Excellence, Communication, Teamwork, Integrity, Growth and Openness. We are committed to investing in our diverse teams where everyone understands their role and how they support our strategic goals, we drive operational excellence through scale and efficiency, and we strive to delight our customers and become the market leader in our industry. If you aspire to join a driven team that holds each other accountable to meeting our lofty goals and you’d like to be part of our growth story in delivering a market leading user experience, we’d like to talk to you. Job Description We are looking for a talented Associate Sales Engineer to join our growing global team at Sectigo. The Associate Sales Engineer plays a vital hybrid role, providing both direct customer engagement and critical support to Sales Engineers and Senior Sales Engineers. This position is ideal for early-career professionals with a passion for technology and a desire to grow into a full Sales Engineering role. This individual is involved in technical demonstrations, proof of concept initiatives, and strategic customer interactions - all while developing expertise in Sectigo’s industry-leading security solutions. This is a full-time and remote position based in the East Coast/Eastern Time. Here are the core functions, responsibilities, and expectations for this role: • Support the mid-market, enterprise, and eCommerce sales teams during the sales cycle with technical input, project coordination, and customer management., • Participate in technical demos and presentations for prospects and partners, tailored to both technical and executive-level audiences., • Assist in planning and implementing Proof of Concept (PoC) efforts, with increasing responsibility over time., • Provide first-level technical support during sales engagements and collaborate with Senior SEs to drive technical success., • Assist with sales proposals, RFPs, and RFIs, contributing to technical documentation and responses., • Collect and communicate customer feedback, product improvement ideas, and feature requests to Product Management., • Collaborate with Sales Engineers on projects involving channel partners, customer onboarding, or technology alliances., • Contribute to a positive team culture and participate in ongoing enablement activities to accelerate learning and growth., • Perform solution research and competitive analysis to support the positioning of Sectigo products., • Set up and maintain demo environments, sandbox environments, and lab infrastructure for SE use., • Prepare customized demo content, scripts, or user flows tailored to prospect use cases., • Shadow senior SEs during technical discovery and implementation calls to build product and customer knowledge., • Document repeatable solutions, product tips, and internal knowledge to support team scalability., • Collaborate with Product, Marketing, and Sales Enablement teams on cross-functional projects as needed., • Contribute to a positive team culture and participate in ongoing enablement activities to accelerate learning and growth., • Additional tasks associated with this position may be assigned in response to company initiatives and business needs. Qualifications Education: • Minimum of 2+ years of relevant professional experience OR 1+ years of experience in a pre-sales, technical consulting, or solution engineering role is required., • Exposure to scripting languages (e.g., PowerShell, Python, or Bash)., • Familiarity with cloud platforms (Azure, AWS, GCP)., • Hands-on experience with web servers, firewalls, and load balancers., • Understanding of basic networking, SSL/TLS, PKI, or web infrastructure concepts. Must be able to travel more than 25% of the time to the assigned regions and/or territories. Ideal Candidate Profiles, Talents, and Desired Qualifications: • A self-starter with a growth mindset and a desire to build a career in Sales Engineering., • Strong organizational skills with the ability to manage multiple priorities., • Strong team player mentality - actively collaborates with other SEs, • Strong communication skills, capable of translating complex technical concepts into clear business value for both engineers and executives., • Comfortable in fast-paced, team-oriented environments., • Demonstrated strong verbal and written communication skills, excellent customer service and account management, and ability to interface with a diverse set of clients including administrators and C-level executives., • Eager to learn new technologies and contribute to team success., • Proficient in English, both written and verbal., • Solid multi-tasking, troubleshooting and problem resolution abilities., • English language proficiency required., • Willingness to travel up to 35% of the time if required. Additional Information All your information will be kept confidential according to EEO guidelines. Global team. Global reach. Global impact. At Sectigo, we believe doing good is good business. Our strength and our success come from our team of passionate, engaged individuals who make a difference, both locally and globally. Our commitment to engagement is rooted in an unconditionally inclusive workforce, embodying our unique perspectives, heritages, and backgrounds, all as diverse as the experiences of each Sectigo employee. Importantly, we strive to be recognized not only as the CLM leader but also for our intentional efforts to promote employees into the roles that most challenge and excite them, into experiences that allow them to grow their interests as we grow the business. We are committed to bringing a little bit of fun and a whole lot of happiness into everything we do so that our work – and our team members – reflect the positive outcomes we deliver to our customers every day.

Job Description Data Engineer Location: Atlanta, Georgia (Hybrid Remote- 2 days onsite/ 3 days remote) Job Type: Full-Time The Data Engineer is a vital member of the application services team responsible for designing, building, and maintaining the infrastructure that supports the collection, storage, and analysis of large sets of data. They ensure that data flows smoothly from source to destination so that it can be processed and analyzed by other stakeholders. Key Responsibilities • Design and manage data architecture and pipelines., • Deploy and maintain Elasticsearch clusters in multi-cloud or on-premises environments., • Integrate data from various sources, including databases, APIs, and external systems., • Collaborate on data models for improved analytics and decision-making., • Implement processes for monitoring and ensuring data quality. Requirements Education and Experience • Bachelor’s degree in Computer Science, Mathematics, Data Science, or related field., • 6+ years of professional experience in data management or engineering, including 3+ years with Elasticsearch, SSIS, or similar tools. Skills and Knowledge • Proficiency in SQL, non-relational databases, and programming (e.g., Python, C#)., • Familiarity with cloud services like AWS or Azure., • Experience with data modeling, ETL processes, and scalable pipelines., • Knowledge of machine learning and data science concepts., • Strong problem-solving, analytical, and communication skills. This position is ideal for professionals passionate about driving data excellence and innovation. Apply today to join our team!

Job DescriptionJob Overview: Cortavo is hiring a senior, hands-on Security Engineer to design, implement, and scale security across internal platforms and customer environments. This role secures on-premises, data center, and cloud workloads with primary focus on networking, identity, Microsoft 365, endpoint security, and infrastructure hardening. You will own security architecture, preventative controls, detection engineering, and automation, translating frameworks such as SOC 2, CMMC, NIST, and PCI into practical, auditable technical controls. This role serves as the dedicated security escalation point for our Service Delivery team and customer-facing technical expert for assessments, audits, and risk discussions. You will partner closely with Engineering, Service Delivery, Product, and Solutions teams to embed security by design into Cortavos services while providing hands-on incident response and security operations support. This role reports to the Engineering Manager. Responsibilities: • Security Operations & Incident Response, • Serve as primary escalation point for all security-related tickets from Service Delivery, including compromised accounts (email, credential issues), suspicious activity, security alerts, and MFA/Conditional Access bypass requests, • Own critical compromising or breached incidents end-to-end, including investigation, remediation, mitigation application, and post-incident security hardening, • Conduct comprehensive After Action Reviews (AARs) and Root Cause Analyses (RCAs) for all security-related incidents in collaboration with Service Delivery leadership, • Perform security and risk assessments for customer-facing networks, infrastructures, and services, • Manage security tool ecosystem including Inky email protection tuning, BullPhish campaign management, and evaluation of new security technologies, • Serve as the subject-matter-expert for all things security and compliance for both Cortavo and our customer base, • Proactive Security & Client Engagement, • Conduct proactive client security reviews, analyzing Azure/Intune compliance reports and Microsoft Security Scores, • Lead Security Gap Assessments for customers (offered as add-ons to Operational Maturity Assessments, provided to VIP clients, or sold/upsold to new and existing customers), • Review Security Scores in Microsoft 365 and actively apply recommendations and remediations to improve customer security posture, • Lead client security meetings, particularly with high-touch or frustrated customers, to address security concerns and build confidence, • Drive security hardening initiatives including Conditional Access refinements, Intune policy rollouts, MFA enforcement, and endpoint security via Datto and Crowdstrike EDR, • Prepare security reporting for Executive Business Reviews (EBRs) and Quarterly Business Reviews (QBRs) demonstrating how weve improved customer environments, • Application and Infrastructure Security Management, • Collaborate with Engineering Manager on Cortavos core internal infrastructure (network, servers, and data) ensuring optimal performance, reliability, and security, • Evaluate and optimize technology stack to ensure efficient security, meeting business objectives and compliance assurance, • Work with Product Engineer and leadership to evaluate security tech stack, offer improvements, recommend tools, and help implement security technologies, • Identify security gaps in tooling and processes, and translate them into roadmap items, architectural improvements, or productized capabilities, • Drive platform security and compliance initiatives, ensuring infrastructure meets or exceeds SOC 2 and CMMC requirements by design, • Collaborate with engineers on secure implementation practices across all technical projects, • Build and refine security processes and operational frameworks to support scalable security operations, • Develop tech solutions and products ready to roll out for new Cortavo services, ensuring offerings have optimal security solutions, • Strong understanding of application security standards and practices, such as the OWASP Top 10, • If/when security vulnerability scanning tools are implemented, serve as the Accountable party in the RACI model to oversee, own, and create tickets for remediation items, • Compliance and Risk Assessment Ownership, • Perform assessments using various frameworks (NIST, SOC2, CMMC, FFIEC, PCI, etc.) to identify gaps and remediate deficiencies, • Ensure systems and applications are implemented with compensating controls to meet regulatory requirements (e.g.SOC2, HIPAA, FFIEC, PCI), • Lead Cyber Insurance Resilience efforts for both internal Cortavo operations and external client environments, • Collaborate with Project Management and IT Operations on Privileged Identity Management (PIM) and least privileged access initiatives, • Training, Documentation & Team Support, • Develop and deliver security training programs for internal teams including Service Delivery, Engineering, Product, Solutions, and Project Management on security red flags, escalation criteria, threat recognition, and secure development practices, • Provide security awareness training and education to customer organizations, including phishing campaign debriefs, compliance training, and executive security briefings, • Create and maintain knowledge base articles for common security scenarios to enable first-line triage and reduce escalations across all technical teams, • Define clear escalation criteria and paths so all teams know exactly when and how to engage security resources, • Maintain accurate, current, and accessible technical documentation, conduct internal and external product demos, and ensure transparency, auditability, and compliance with internal and external standards, • Report to leadership on security projects, initiatives, and proactive work being performed, • Drive team roadmaps by staying up to date with the latest threats and independently identify areas of security risk, • Think beyond reactive security measures, take a proactive approach to identifying potential vulnerabilities and threats. Use advanced tools, AI, machine learning, or custom-built scripts to anticipate future risks and mitigate them before they affect the infrastructure Required Skills & Qualifications: • Minimum 5-7 years of IT systems engineering experience in an MSP or multi-tenant environment, • Minimum 4 years of IT Security engineering, Cyber Security Architecture, or compliance infrastructure roles, • Proven experience handling security incidents and compromises in production environments, • Technical credibility in a security engineering role with demonstrated impact within multiple domains: Zero Trust/Conditional Access approaches, Endpoint Security, Data Protection, Mobile, Cloud Security, • Strong organizational, research, analytical and problem-solving skills to evaluate situations, make recommendations, and take effective action, • Ability to articulate complex technical concepts or scenarios to both technical and non-technical audiences, including frustrated customers, • Able to define, communicate, and present executive-level proposals of the risk-based business impact approach to cybersecurity, • Expert knowledge of security principles, solutions, tools, methodologies, and techniques, • Strong ability to partner with operations stakeholders (Service Delivery, Engineering, Product) to define platform needs and drive adoption, • Experience establishing platform governance, compliance standards, and security controls, • Expert knowledge of Networking and Firewalls, particularly with Cisco Meraki, • Expert knowledge in Microsoft 365, Azure AD, Exchange Online, Teams, and Microsoft Endpoint Manager (Intune), • Strong experience with MFA implementation and Conditional Access policies, • Experience with security tools including email protection (e.g., Inky), EDR solutions (e.g., Crowdstrike), and RMM platforms (e.g., Datto), • Proficiency with observability tools (Prometheus, Grafana, OpenTelemetry, Datadog), • Knowledge in Infrastructure as Code (IaC) tools, such as Terraform, Puppet, Ansible, • Proficiency in Microsoft Server environments, • Proven experience in secure software development principles in various languages (Java, Go, JavaScript, Python, etc.), • Experience conducting After Action Reviews (AARs) and Root Cause Analyses (RCAs), • Bachelors degree in computer science, Information Security, or related field, • Security certifications such as CISSP, CISM, CEH, Security+, or GIAC certifications, • Microsoft Security certifications, particularly:, • SC-200: Microsoft Security Operations Analyst, • SC-300: Microsoft Identity and Access Administrator, • SC-400: Microsoft Information Protection Administrator, • MS-500: Microsoft 365 Security Administration, • Cloud security certifications (Azure Security Engineer Associate, AWS Security Specialty), • Compliance certifications (ISO 27001 Lead Auditor, CMMC-RP, or similar), • Experience with ticketing and PSA systems (Autotask, ConnectWise, Jira), • Experience working in an MSP or MSSP environment, • Familiarity with SIEM platforms (Sentinel, Splunk, etc.), • Experience with security frameworks (NIST CSF, CIS Controls, MITRE ATT&CK), • 40% Security Operations & Incident Response, • 30% Infrastructure Security, • 20% Compliance, • Competitive salary, as well as employer, contributed health benefits, • Hybrid work schedule, • Access to a Company cell phone plan, • A seat on an energetic team that collaborates and pushes each other to be better, • A fast-paced but cooperative environment with endless potential for growth, • Celebration events for team and Company successes throughout the year Flexible work from home options available.

Job DescriptionAbout GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and roleCVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production‑grade systems. This role combines strong hands‑on technical execution with mentorship, collaboration, and data‑driven problem solving. Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross‑functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality. What you will do Technical Development & Innovation • Design, implement, and optimize state‑of‑the‑art machine learning and computer vision models to enhance product capabilities., • Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision‑language models., • Implement and benchmark newly developed algorithms on large‑scale datasets, validating both accuracy and throughput., • Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC, confusion matrices)., • Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks., • Support end‑to‑end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement., • Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery., • Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration., • Participate in design reviews, technical discussions, and knowledge‑sharing initiatives to raise overall team capability., • Proactively suggest improvements to existing models, workflows, tools, and product features., • Collaborate effectively with engineering, product, and data stakeholders to deliver high‑impact ML solutions., • Maintain awareness of emerging ML and computer vision trends and assess their applicability to real‑world problems. Skills we're looking for • Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience, • Strong hands‑on experience developing and deploying machine learning models in production environments., • Advanced understanding of supervised, unsupervised, and semi‑supervised learning techniques., • Expertise in classification, regression, clustering, and anomaly detection., • Solid experience with convolutional neural networks, recurrent neural networks, and transformer‑based models., • Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus), • Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning., • Experience using computer vision and scientific computing libraries such as OpenCV., • Familiarity with model deployment, monitoring, and CI/CD workflows., • Beneficial to have experience working with large‑scale datasets and performance‑critical ML systems., • Prior experience mentoring or technically guiding other ML engineers., • Beneficial to have exposure to production MLOps practices and model lifecycle management., • Able to balances research‑driven exploration with pragmatic, production‑focused execution. To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers. Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. AHEAD’s Sr. ServiceNow Solutions Engineers are the technical experts that collaborate with our AHEAD account teams to help identify, qualify, and build solutions that support our customer’s Digital Business transformation. The AHEAD Sr. ServiceNow Solutions Engineer (SSE) will be focused on SecOps & IRM knowledge. The SSE is considered a subject matter expert in these areas with responsibility for selling and designing complex solutions. The SSE is also considered an organizational thought leader for their specialty area. Responsibilities • Active participation in the AHEAD SSE and service delivery teams, • Be a thought leader for AHEAD clients, responsible for designing, architecting technical solutions, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develop relationships with other ServiceNow SSE team members, leaders, and partners in support of sales objectives, • Strategize and execute technical sales calls, • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately, • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding, • Present and market the design and value of proposed AHEAD solutions and business justification to customers, prospects, and AHEAD management, • Participate in the mentorship of entry-level team members, • Possess strong, detailed product/technology/industry knowledge, • Knowledge of job-associated software and applications, • Travel required up to 30%Qualifications, • Expertise as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development, • Expertise is ServiceNow modules SecOps/IRM, • Strong functional knowledge of the ServiceNow platform across multiple modules, • ITIL Foundations v3 or higher certification and/or working knowledge of ITIL concepts, • Working knowledge of Agile/Scrum methodology, • Passion for problem-solving to solution selling, • Knowledge of web development or mobile app development, business modeling, database concepts and project management – preferably using Agile Development Methodologies, • Exceptional oral, written and presentation skills, with ability to organize and present technical material in an easily understood manner, • Deep insight on technical architectures, IT products and product positioning., • ServiceNow certifications and accreditations are strongly desired, • Experience on other SaaS platforms such as: Tanium, Atlassian, Big Panda, Splunk, Data Dog, Logic Monitor, etc, • Understanding of JavaScript, HTML and libraries/frameworks such AngularJS, jQuery, Prototype and bootstrap fundamentals a plus, • Experience with monitoring solutions, end point collection, IoT, machine learning and other emerging technologies a plus, • Understanding of web services (e.g. SOAP, REST, WSDL, XML) a plus

Job DescriptionSalary: Job Details Description Job Description: Civil Engineer Position Summary Adidev is seeking a Civil Engineer who will be responsible for planning, designing, overseeing, and maintaining a wide range of infrastructure and civil-works projects, including roads, bridges, buildings, water/wastewater systems, and other public works. This role involves a combination of office-based design and analysis as well as field-based construction oversight to ensure project quality, safety, and compliance. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer and Civil Engineering solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Key Responsibilities Review survey reports, maps, blueprints and other data to plan infrastructure projects. Perform engineering calculations (structural, geotechnical, hydraulic, etc.) to determine design parameters, loads, and material specifications. Develop and/or use computer-aided design (CAD) software and other engineering tools to prepare drawings, plans, and specifications. Prepare cost estimates for materials, equipment, labor, and develop project budgets and schedules. Obtain and review permit applications, ensure compliance with federal, state, and local regulations, environmental laws, and safety requirements. Visit construction sites to oversee progress, ensure that workmanship and materials comply with design specifications, identify risks/issues and coordinate with contractors and stakeholders. Collaborate with multi-disciplinary teams (architects, other engineers, contractors, public works agencies) to coordinate project phases from concept through completion. Monitor project performance, inspect completed work, make recommendations for improvements, and ensure the infrastructure meets functional and quality requirements. Maintain documentation of designs, changes, inspections, and project records; may present reports or technical findings to stakeholders. (Optional/desired) Pursue or hold professional licensure (e.g., Professional Engineer (PE) in relevant jurisdiction) and stay current with codes, standards, continuing education. Qualifications / Skills Bachelors degree in Civil Engineering or a closely related engineering field (Masters preferred for some roles). Strong technical engineering fundamentals in structural, geotechnical, transportation, water/hydraulics or related sub-disciplines. Proficiency in engineering software/tools (e.g., CAD, BIM, structural modelling, MS Project or scheduling tools). Excellent analytical, problem-solving, and quantitative skills. Good verbal and written communication skills; ability to prepare and present technical documents. Ability to work both in an office setting and on construction sites; comfortable with site visits, inspections and field conditions. Knowledge of relevant codes, standards, permitting processes, and regulatory frameworks. Project management skills: budgeting, scheduling, coordination of deliverables, risk management. Familiarity with sustainability, resilience, environmental considerations and modern materials/techniques. Working Conditions Combination of office work and field work (construction sites, outdoors). Full-time positions; may require more than 40 hours per week depending on project deadlines. Relocation & travel may be required to project sites, especially if working across different locations. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of civil engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Job DescriptionAbout GAINS GAINS is redefining supply chain planning for inventory-intensive industries. Our composable, decision-centric platform integrates strategic design and operational planning, enabling organizations to optimize performance, adapt to disruption, and deliver measurable outcomes quickly. By aligning decisions across every level of the supply chain, GAINS empowers customers to balance cost, risk, and service while continuously improving. Job Summary: We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers. Key Responsibilities: • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics., • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient., • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy., • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance., • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients., • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes., • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders., • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.Qualifications:, • Education: Master’s in Operations Research, Industrial Engineering, Applied Mathematics, or a related field., • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain., • Technical Skills:, • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling)., • Strong programming skills in languages such as Python, C++, or Java., • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools., • Familiarity with supply chain management principles and practices., • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets., • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences., • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment., • Adaptability: Willingness to learn and adapt to new challenges and technologies.Preferred Qualifications:, • Experience with machine learning techniques applied to supply chain problems., • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies. mICd8P34a7

Job Description At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals & Mining, Warehousing & Distribution, and CPG/Food & Beverage industries. Our national and global scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site. We are seeking a Senior Automation Engineer to perform all aspects of process automation engineering and system integration, including initial concepts, specifications, design engineering, documentation, project implementation, testing, startup, and training of operating and maintenance personnel. You will be a key member of a diverse team of professionals developing solutions for our client's most complex automation challenges. You will: • Lead or work on a project team responsible for the design, configuration, and testing of continuous and batch control applications., • Understand the project scope and financials and exercise good time management skills to plan & coordinate the work as part of a project team by developing project schedules and budgets in collaboration with project leadership and identify change orders and justify changes to Project Management ensuring completion of all project deliverables to the satisfaction of the client, • Anticipate and provide solutions to project leadership and/or customer giving high priority to customer satisfaction offering strong technical expertise and advisement as part of the project team, • Bachelor's of Science degree in Engineering or equivalent educational background., • 5+ years of industry hands on experience executing automation projects for process plants - preferably in CPG / Life Sciences / Food & Beverage / Chemical domains, • Understanding of batch and continuous process control strategies deployed in, • Demonstrated ability to develop process control system applications, utilizing Programmable Logic Controllers (PLC), Human Machine Interfaces (HMI), and Supervisory Control and Data Acquisition (SCADA) Systems, configuration of thin client server applications, design, developing & maintaining databases for data collection, configuring process historians and using reporting tools to present process data to operations & management, tuning control loops, providing control system startup services, troubleshooting existing control systems and providing control system qualifications., • Solid understanding of object-oriented software development & delivery methodologies, • Expertise with the design, implementation, maintenance and troubleshooting of virtual server-based control system architectures, and understanding of control system network topology, i.e. Ethernet, Ethernet/IP, ControlNet, DeviceNet, etc., • Knowledge of process instrumentation specification, installation & troubleshooting, and control panel design, check-out, commissioning & troubleshooting, • Hands-on experience rapidly troubleshooting and solving equipment & instrument-related issues during start-up and commissioning and perform complex system testing, • Experience working at customer sites supporting the installation & commissioning of equipment and systems, • Knowledge of industry and regulatory standards, design criteria and codes relevant to Instrumentation and Controls, • ISA S88 Batch standard, • ISA S95 Controls System Architecture standard, • GAMP 5 & cGMP, • 21 CFR Part 11, • PLC Programming with one or more of Rockwell Studio5000, RSLogix5000/5/500, or Siemens Step 7 or TIA Portal, • Ability to program in RLL, SFC and ST, • HMI Programming using one or more of Rockwell FTView ME and SE, Wonderware System Platform, Inductive Automation Ignition, • Configuration & use of one or more of Wonderware DAS/OI Server, FactoryTalk Gateway, RSLinx, RSNetWorx, KepServerEx, • Configuration & development of one or both of Wonderware InBatch & Rockwell FTBatch, • Configuration & development using one or more of Wonderware Historian, FTHistorian, OSI PI, • Use of SQL for database creation, query & management. Ability to develop stored procedures, functions & views and use of SQL commands for integration of control systems to back-end databases.Familiarity with SSRS for reporting, • Configure & operate Allen Bradley PowerFlex Drives via manual HIM or through PLC programming, • Configuration, use & troubleshooting of Allen Bradley Stratix switches, • Bio Reactors, • Skid System Controls, • Clean/Steam in Place, • Freeze Dryers, • Autoclave Control Systems, • Centrifuge Systems, • Building Management & HVAC Control Systems, • Thermal Oxidizer Systems, • Purified Water, • Finished Product Transfer Systems, • Granulator Control Systems, • Boilers and Boiler Control Systems, • Bulk Material Handling and Processing, • Laboratory Systems, • Pasteurization and Homogenization, • Wastewater Treatment, • Weighing and Metering Systems, • 401k + match + prompt enrollment. E Tech Group employees are 100% vested upon entry., • Prompt enrollment into Medical, Dental, and Vision benefits., • Generous paid time off that includes paid vacation, paid holidays, paid family leave and personal/sick time off.

Job DescriptionThis position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization. The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences. Job Responsibilities: • Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications., • Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions., • Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure., • Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement., • Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems., • Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions., • Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner. Technical Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • Proven experience in developing and deploying machine learning models and algorithms., • Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)., • Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure)., • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques., • Ability to work effectively in a collaborative, cross-functional team environment., • Strong problem-solving skills and a passion for tackling complex challenges., • Excellent communication and presentation skills. Preferred Qualifications: • Experience with big data technologies such as Hadoop, Spark, or similar., • Knowledge of deep learning architectures and techniques., • Previous experience in natural language processing (NLP) or computer vision projects., • Understanding of version control systems like Git.

Job DescriptionAs a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications. Responsible for:-Assisting in the designing and building modern and highly scalable cloud-based applications for customers-Migrating and modernizing customer legacy applications using AWS services-Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs-Actively participating in team meetings and cross-functional interactions-Keeping team members and supervisors informed of progress and issues-Actively contributing to client project status meetings-Contributing to R&D projects to validate/invalidate new services offerings-Remaining current with technology trends and new technologies-Proposing the latest technology usage and integration standards-Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP-Participating in code reviews, document infrastructure-as-code, and assist with UI/UX-Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React-Utilizing best practices for security, compliance, and business continuity in cloud solutions How you will be successful:-Bridging the gap between technical complexity and business objectives through adept problem-solving abilities-Building trusting relationships with team members and collaborating departments-Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)-Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes-Championing ongoing elevation of personal skills paired with knowledge transfer to teammates-Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients Requirements of the role:-5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services-Strong experience with infrastructure-as-code tools like CloudFormation-Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework-Experience using AWS platforms including but not limited to Cognito and Amplify-Understanding of modern app architectures in cloud environments-Able to collaborate with cloud engineer and project management teams-AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates-In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.-Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.-Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.-Experience using AWS command line tools and SDKs to manage infrastructure as code-Building, deploying, managing microservices applications on AWS-Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS-Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud Additional Valuable Skills: -Experience with CI/CD pipelines and automated testing-Building event-driven architectures on cloud platform-Using infrastructure as code tools like CloudFormation -Frontend JavaScript frameworks like React-Machine learning capabilities like SageMaker-Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description HI, Hope you're doing well This is pankaj from 4P Consulting Please see below job description Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C Sr. Talent Acquisition Specialist Pankaj Mishra +1 205-756-4834

Job DescriptionData Scientist (5–10 Years Experience)Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data Analysis: * Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. * Apply statistical techniques to derive meaningful information for business strategies. 2. Predictive Modeling: * Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. * Utilize techniques such as regression analysis, classification, and clustering. 3. Data Visualization: * Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). * Effectively communicate insights to both technical and non-technical stakeholders. 4. Hypothesis Testing: * Formulate and test hypotheses to statistically validate business decisions and recommendations. 5. Feature Engineering: * Engineer and select relevant features to optimize the performance of machine learning models. 6. Algorithm Development: * Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 7. Data Integration: * Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 8. Model Deployment: * Deploy machine learning models into production environments to support real-time analytics and decision-making. 9. A/B Testing: * Design and evaluate A/B tests to assess the impact of process or product changes. 10. Data Ethics: * Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 11. Cross-functional Collaboration: * Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 12. Mentorship: * Provide guidance and mentorship to junior data scientists and analysts to support team development. 13. Continuous Learning: * Stay updated on the latest data science tools, trends, and best practices through professional development. Qualifications: * Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master’s or Ph.D. is a plus. * Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. * Programming Languages & Tools: Proficiency in Python, R, or Julia. * Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). * Database Skills: Strong understanding of databases and SQL-based data manipulation. * Additional Skills: * Advanced problem-solving and critical thinking abilities. * Strong communication skills for conveying technical findings to diverse audiences. * Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. * Awareness of data ethics and regulatory compliance.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in Atlanta, Georgia. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR v32m8w1ytZ

Job Description Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions. We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards. Responsibilities • Design and implement code for training/serving ML models in chip design workflows, • Automate creation of large datasets for training models, • Integrate ML models into existing chip design software infrastructure, • Write comprehensive tests and documentation, • Collaborate with engineers to understand model requirements and deployment needs, • Participate in code reviews and follow software engineering best practices, • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field, • Strong Python programming skills with experience in scripting and automation, • Understanding of software engineering principles and code organization, • Experience with data processing libraries (pandas, numpy, scipy), • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn), • Basic understanding of file I/O, data parsing, and format conversion, • Experience with version control systems (Git) and collaborative development Preferred Skills • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.), • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE), • Experience with shell scripting (bash) and command-line tools, • Understanding of semiconductor design concepts, • Familiarity with Linux environments, • Experience with workflow automation and batch processing systems, • Knowledge of data visualization tools (matplotlib, plotly) for design analysis, • Competitive Salary, • Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Catastrophe Engineering and Analytics (CAT E&A) is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions. The Software Engineer within the CAT E&A team will play a crucial role in designing and developing end-to-end systems to deploy and run models. This role involves deep cross functional collaboration with business, product, and data science teams, while driving successful project outcomes. Not only will you focus on backend development, but another dimension to the role also demands some expertise with building data pipelines, data manipulation, and so forth. Duties & Responsibilities: • Collaborate closely with application engineers, data scientists, and stakeholders in building and maintaining existing software to support existing platforms., • Work with the team to help develop our technical platform to be more user-friendly and seamless, with an emphasis on bringing the various individual models together in a more uniform framework., • Understand and assist with the development of AI and machine learning related projects that are underway., • Contribute to the development, maintenance, and evolution of our platform., • Help drive technology and architecture decisions along with mentoring teammates., • Contribute to the design and architecture of scalable, reliable systems., • Write maintainable and well-tested code along with designing the system., • Build robust data pipelines, perform data analysis, and deploy models. Qualifications, Skills and Experience: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field is preferred., • Minimum three years of relevant experience in software engineering, data engineering, or ML engineering., • Strong problem-solving skills and ability to work independently., • Excellent communication and collaboration skills., • Proficiency in Python (Pandas, NumPy, or SciPy) or R is required., • Previous experience in building Batch or Streaming Data and ML pipelines is preferred., • Proficiency in building and working with APIs is preferred., • Exposure to GIS libraries, PostGIS, GDAL is preferred., • Experience with both streaming and batch processing of data is preferred., • Knowledge of Docker and Kubernetes is preferred. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates, • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders, • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework Benefits that support your life and well-being, which include: • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization. The base salary range for this position in California is from $115,000 – $155,000 along with annual bonus eligibility; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

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