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Our client is seeking a highly skilled Salesforce Engineer to design, build, and optimize Salesforce solutions that empower our sales, commercial operations, and marketing teams. The ideal candidate will combine technical expertise with business acumen, enabling scalable, AI-driven solutions that support revenue growth, operational efficiency, and customer engagement. This individual will collaborate cross-functionally with stakeholders to translate business requirements into technical deliverables and ensure seamless adoption of Salesforce across the organization. Key Responsibilities: • Solution Design & Development, • Architect, configure, and customize Salesforce applications to align with sales, marketing, and commercial operations goals., • Build scalable solutions using Apex, Lightning Components (LWC), Visualforce, and integration tools., • Design and maintain custom objects, workflows, validation rules, and automation., • AI & Innovation, • Implement and integrate Salesforce Agent Force and other AI tools to drive data-driven insights and predictive analytics., • Explore and deploy AI-based solutions to enhance lead scoring, pipeline forecasting, campaign effectiveness, and customer journey optimization., • Cross-Functional Collaboration, • Partner with Sales, Marketing, and Operations leaders to gather requirements, design solutions, and deliver measurable business outcomes., • Translate business requirements into well-architected solutions that best leverage Salesforce and its ecosystem., • Ensure end-user adoption through documentation, knowledge sharing, and training sessions., • Data Management & Integrations, • Maintain data integrity and quality across Salesforce and integrated systems., • Manage integrations between Salesforce and other enterprise applications (e.g., marketing automation, ERP, analytics)., • Support ongoing API development and middleware integrations., • Governance & Optimization, • Uphold Salesforce best practices, coding standards, and security protocols., • Monitor system performance and proactively recommend enhancements., • Provide tier-3 support for complex Salesforce issues. Education & Certifications: • Bachelors degree in Computer Science, Information Systems, Engineering, or related field (preferred)., • Salesforce Certifications required: Salesforce Administrator, Platform App Builder, Platform Developer I., • Salesforce Platform Developer II certification strongly preferred. Professional Experience: • 3-5 years of hands-on Salesforce engineering/development experience., • Proven track record of designing and deploying scalable Salesforce solutions in support of sales and commercial teams., • Strong experience with Apex, LWC, Visualforce, SOQL, APIs, and integration tools., • Demonstrated ability to implement AI solutions in Salesforce (Einstein Analytics, predictive modeling, or third-party AI tools) for commercially driven objectives., • Experience integrating Salesforce with marketing automation platforms (e.g., Pardot, Marketo, HubSpot)., • Skills & Competencies, • Strong problem-solving and analytical skills with attention to detail., • Excellent communication skills to interface effectively with both technical and non-technical stakeholders., • Ability to work independently and in collaborative, fast-paced environments., • Experience delivering via Agile development methodologies (Scrum, Kanban) required

Salesforce Engineer Job Description Position Summary • Design, build, and optimize Salesforce solutions for sales, commercial operations, and marketing teams., • Combine technical expertise with business acumen to deliver scalable, AI-driven solutions., • Support revenue growth, operational efficiency, and customer engagement through technical implementation., • Collaborate cross-functionally to translate business requirements into technical deliverables and ensure organizational adoption. Key Responsibilities • Solution Design & Development, • Architect, configure, and customize Salesforce applications to align with business goals., • Build scalable solutions using Apex, Lightning Components (LWC), Visualforce, and integration tools., • Design and maintain custom objects, workflows, validation rules, and automation., • AI & Innovation, • Implement and integrate Salesforce AI tools to drive data-driven insights and predictive analytics., • Deploy AI-based solutions to enhance lead scoring, pipeline forecasting, campaign effectiveness, and customer journey optimization., • Cross-Functional Collaboration, • Partner with business leaders to gather requirements, design solutions, and deliver measurable business outcomes., • Translate business requirements into well-architected solutions leveraging the Salesforce ecosystem., • Ensure end-user adoption through documentation, knowledge sharing, and training sessions., • Data Management & Integrations, • Maintain data integrity and quality across Salesforce and integrated systems., • Manage integrations between Salesforce and other enterprise applications (e.g., marketing automation, ERP, analytics)., • Support ongoing API development and middleware integrations., • Governance & Optimization, • Uphold Salesforce best practices, coding standards, and security protocols., • Monitor system performance and proactively recommend enhancements., • Provide tier-3 support for complex Salesforce issues. Qualifications & Experience • Education & Certifications, • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (preferred)., • Required Salesforce Certifications: Administrator, Platform App Builder, Platform Developer I., • Salesforce Platform Developer II certification (strongly preferred)., • Professional Experience, • 5+ years of hands-on Salesforce engineering/development experience., • Proven track record of designing and deploying scalable Salesforce solutions in support of commercial teams., • Strong experience with Apex, LWC, Visualforce, SOQL, APIs, and integration tools., • Demonstrated ability to implement AI solutions in Salesforce (e.g., predictive modeling) for commercially driven objectives., • Experience integrating Salesforce with marketing automation platforms (e.g., Pardot, Marketo, HubSpot)., • Skills & Competencies, • Strong problem-solving and analytical skills with attention to detail., • Excellent communication skills to interface with both technical and non-technical stakeholders., • Ability to work independently and in collaborative, fast-paced environments., • Experience delivering via Agile development methodologies (Scrum, Kanban) required.

Job DescriptionKey Responsibilities: * Develop, integrate, and support GenAI-powered solutions using Python and .NET frameworks. * Collaborate with engineering teams to address real-world challenges using LLMs (as consumers, not model creators). * Apply deep problem-solving skills to engineer solutions — not just propose architectures. * Scale AI models for enterprise-level performance, considering optimization, tokenization, and cost efficiency. * Justify and implement tokenizer strategies and other AI engineering techniques for better model utility. * Work cross-functionally with product owners, data scientists, and cloud engineers to deliver impactful GenAI solutions. * Remain current with industry best practices and GenAI trends, adapting solutions accordingly. Required Skills Qualifications: * 5+ years of software engineering experience with a strong focus on Python development. * Solid working knowledge of .NET framework (C# or ASP.NET). * Demonstrated experience in delivering solution-oriented AI implementations (not just model development). * Hands-on experience with LLMs (e.g., OpenAI, Azure OpenAI, HuggingFace) in real-world applications. * Strong understanding of tokenization, inference strategies, and model scaling principles. * Ability to explain and justify engineering decisions to both technical and non-technical stakeholders. * Comfortable working in agile, cross-functional environments with high accountability. Nice to Have: * Familiarity with cloud-based AI/ML environments (Azure preferred). * Exposure to MLOps practices and deployment pipelines. * Experience with prompt engineering, embedding models, or retrieval-augmented generation (RAG)

Job Description We’re recruiting AI & ML Engineers across some of the fastest-growing startups in the world — including Poolside, Parallel, Final Round AI, and Harmonic. These companies are building cutting-edge products across applied AI, large language models, computer vision, and beyond. Whether you’re looking to join an early-stage team or contribute to a scaling company, we have roles that match a wide range of backgrounds and experience levels. Apply to get direct access to our full live board of open AI/ML roles. Benefits Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Machine Learning Engineer (15265-1) Newark, NJ Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : $60 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Please submit the candidate's resume in PDF format., • Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered., • Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options are part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Comprehensive benefits package including health insurance (medical, dental, vision), retirement plans (401K), and generous paid time off. * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. Requirements • 8+ years of overall industry experience specifically in data engineering, • Strong knowledge of data engineering principles, data integration, and data warehousing concepts., • Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data., • Proficiency in data engineering technologies and tools, such as SQL, Python, ETL frameworks, data integration platforms, and data warehousing solutions., • Experience with data modeling, database design, and data architecture principles., • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms - AWS, Azure, • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets., • Strong communication and collaboration abilities. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job DescriptionAbout the Company A powerhouse in Enterprise SaaS, leading the charge for Fortune 100 companies in privacy governance, security, and unified consent management. Their patented Hybrid AI platform processes 50M+ privacy requests daily, driving innovation and shaping the future in a hypergrowth marketplace (with industry 37.7% CAGR). Expect a culture where visionaries are empowered, expertise is valued, and impact is measured at enterprise scale. * Company HQ: Greenville, DE, US * Product: AI-powered privacy compliance and data governance platform (SaaS) * Candidate Location: Greenville, DE or Falls Church, VA 2-3 days per week (company-paid relocation available) * Start Date: As soon as possible The Mission Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. The Opportunity As a Forward Deployed Engineer, you will step into a strategic role with a clear, performance-based pathway to Director of Engineering within 18 months. You’ll design and deliver core platform features, lead cross-functional initiatives, and collaborate with executive stakeholders to shape the product’s future. Expect real executive exposure, ownership of greenfield builds, and the chance to become a recognized technical leader in a fast-moving, high-growth environment. What You'll Do * Write high-quality, scalable code in JavaScript, React, Node.js (about 50% of working time) * Provide technical mentorship and guidance to engineers * Collaborate with the CEO/CTO on product architecture and technical strategy * Engage with enterprise clients via remote calls, assisting in technical implementation and rollout * Support the design of secure, performant data privacy solutions that manage consent and protect customer PII * Drive engineering best practices and elevate overall code quality * Contribute to new features that align with privacy compliance and security standards What You Bring * 10+ years of experience in software engineering roles * Bachelor’s degree or higher in Computer Science or a related field (required) * Experience building modern applications and APIs using JavaScript, React, and Node.js * Strong understanding of object-oriented programming, such as Java, C++, C, or similar * Hands-on experience designing and building database connectors * Strong proficiency in debugging complex software issues * Proven track record in mentoring or guiding other developers * Ability to communicate and collaborate with clients during implementation (calls only) * Familiarity with scalable system design and architecture * Willingness to work 2-3 days in the office * Bonus: Experience with Elastic Search Preferred Technical Skills * Programming: JavaScript and object-oriented programming, such as Java, C++, C or similar (PHP) * Frontend: ReactJS, JQuery, Bootstrap * Backend & API: RESTful APIs, AJAX, microservices architecture * Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase) * Caching & Messaging: Redis, RabbitMQ * Cloud & Containerization: Docker, AWS, IaaS, PaaS * DevOps & Version Control: Git, Bitbucket, third-party testing frameworks * Bonus: Experience with Elastic Search * Bonus: Security/privacy technologies (encryption, vulnerability assessment) * Bonus: Open-source project contributions Key Success Drivers * Self-Direction: Strong self-discipline and self-motivation * Integrity: High ethical standards, honesty, and transparency * Adaptability: Comfort in a fast-changing, startup-like environment * Collaboration: Ability to work effectively with diverse team members * Leadership Mindset: Proactive leadership and collaborative approach Why Join? * Compensation: $130,000-$165,000 annually (negotiable depending on experience) * 100% paid medical, dental, and vision for employees and families (gold plan with zero out-of-pocket) * 401(k) plan and company-paid life insurance * Company-paid relocation if needed * Hybrid 2-3 days in-office, promoting real work-life balance * 2 weeks paid vacation to recharge * Tuition reimbursement for continued education and technical training * Clear path to the Director of Engineering role within 18 months * Significant influence on architecture and engineering practices * Contribute to protecting individual privacy rights and enhancing consumer trust * Be part of a company processing 50 million privacy requests daily * Work alongside talented engineers in a supportive environment * Regular company-paid events, celebrations, and dinners * Proven success with Fortune 100 customers and established product-market fit Interviewing Process * HR Screening * Level 1: Phone interview with the Hiring Manager (technical background and client communication skills) * Level 2: On-site interview in the office (skills assessment) * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $130K - $165K

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

This opportunity is perfect for engineers excited by emerging technologies and the chance to help establish a new Enterprise team dedicated to Gen AI, Azure, and modern software development.

Specialty Software Engineering experience. Hands-on prompt engineering experience. This is a pure AI engineering role focused on building AI solutions from the ground up — such as using LLMs for intelligent code remediation.

Deep understanding of cloud engineering as related AI, DevOps, Automation. Job Title : AI DevOps Engineer. An AI DevOps Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and mainta

Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives. Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for ma

Experience with Azure AI services including Azure OpenAI and Azure AI Search. Experience with Azure AI services including Azure OpenAI and Azure AI Search. Proficiency in frameworks such as Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow, etc.

Age 21+ or Older / Generate Extra Revenue (FT or PT) - As a Medical Delivery Driver, you will: Deliver medical supplies and equipment to various healthcare facilities and patients; Verify delivery locations and ensure all items are correctly labeled and packaged; Load and unload delivery vehicles wi

Amazon Delivery Drivers - Bayonne, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Ferguson - JobID: R-128710 [Flex Driver] As a Delivery Truck Driver at Ferguson, you'll: Deliver materials to the customer; Assist with unloading, ensure delivery of ticket with material, and collect payment; Pick up customer returns, validating product match for credit requests; Perform daily pre-t

Personal Shopper] As a Grocery Delivery Driver at Shipt you will: Get paid to shop by filling customer orders and delivering to their door; Earn up to $22/hour* shopping for and delivering things people love from stores they trust; Set your own hours - part-time - full time - or any time; Be at leas

Amazon Delivery Drivers - Newark, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a

Personal Shopper] As a Grocery Delivery Driver at Shipt you will: Get paid to shop by filling customer orders and delivering to their door; Earn up to $22/hour* shopping for and delivering things people love from stores they trust; Set your own hours - part-time - full time - or any time; Be at leas

Amazon Delivery Drivers - Kearny, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a

Delivery Driver / Up to $31 per hour] - Choose Your Own Hours / Earn Guarenteed Minimums + 100% of Your Tips / Daily Pay & Instant Cashout - Skipcart is hiring delivery drivers for immediate positions in various locations across the country.

Amazon Delivery Drivers - Newark, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a

Unit 8270 - [Food Delivery / Team Member] As a Delivery Driver @ CPK you will: Ensure outstanding customer service and quality of product to every customer; Ensure order accuracy before leaving restaurant; Take orders over the phone; Generally supporting daily restaurant operations.

Amazon Delivery Drivers - Kearny, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a

Play a crucial role in ensuring prompt and efficient delivery of orders to our customers; Safely and responsibly operate a delivery vehicle to transport orders to customers' locations; Provide excellent customer service by delivering orders in a timely manner and with a friendly demeanor; Communicat

Amazon Delivery Drivers - Carteret, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Personal Shopper] As a Grocery Delivery Driver at Shipt you will: Get paid to shop by filling customer orders and delivering to their door; Earn up to $22/hour* shopping for and delivering things people love from stores they trust; Set your own hours - part-time - full time - or any time; Be at leas

Amazon Delivery Drivers - Kearny, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a

Age 21+ or Older / Generate Extra Revenue (FT or PT) - As a Medical Delivery Driver, you will: Deliver medical supplies and equipment to various healthcare facilities and patients; Verify delivery locations and ensure all items are correctly labeled and packaged; Load and unload delivery vehicles wi

Amazon Delivery Drivers - Bayonne, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Play a crucial role in ensuring prompt and efficient delivery of orders to our customers; Safely and responsibly operate a delivery vehicle to transport orders to customers' locations; Provide excellent customer service by delivering orders in a timely manner and with a friendly demeanor; Communicat

Amazon Delivery Drivers - Carteret, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Package Delivery] - Competitive Pay Rates with Bonuses & Tips / Earn on Your Schedule (Part-time or Full-time Flexibility) / User-Friendly Driver App / 24/7 Driver Support - As a Delivery Driver at Jitsu, you will: Operate a delivery vehicle safely and efficiently; Plan and follow the most efficient

Amazon Delivery Drivers - Staten Island, NY, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven

Delivery Driver / Up to $31 per hour] - Choose Your Own Hours / Earn Guarenteed Minimums + 100% of Your Tips / Daily Pay & Instant Cashout - Skipcart is hiring delivery drivers for immediate positions in various locations across the country.

Amazon Delivery Drivers - Kearny, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a

Primo Water - 111 Thomas McGovern Dr [Route Driver / Truck Driver] As a Route Delivery Driver at Primo Water, you'll: Safely operate a commercial vehicle and diligently perform all duties in a safe manner; Deliver pre-ordered products and upsell the popular brands/products; Protect company assets, i

Amazon Delivery Drivers - Bayonne, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. Collaborate with clients to understand their analytics needs and deliver tailo

Amazon Delivery Drivers - Staten Island, NY, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven

Amazon Delivery Drivers - Staten Island, NY, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven

Get paid daily for your total shift earnings from the day before!). Ability to enroll in our nationwide Jiffy Lube car maintenance program. Insomnia Cookies is one of the fastest growing, late-night, sweet indulgence companies in the country, and at the present time, we are actively interviewing Del

Amazon Delivery Drivers - Kearny, NJ, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days a