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Job Title: Cloud Operations Engineer – Unified Cloud & Disaster Recovery Location: New Jersey City, NJ (Work from Office) Overview - Vibhathi Labs are seeking a skilled and motivated Cloud Operations Engineer with expertise in Unified Cloud and Disaster Recovery to join our team in New Jersey City. The ideal candidate will be responsible for ensuring the reliability, availability, security, and performance of our cloud infrastructure while driving operational excellence and mentoring junior team members. Key Responsibilities - • Monitor system health and proactively troubleshoot incidents to ensure high service availability and reliability., • Deploy and manage cloud infrastructure leveraging automation and DevOps best practices., • Maintain and optimize CI/CD pipelines, configuration management tools, and version control systems., • Partner with development teams for seamless code and environment deployments across various environments., • Perform detailed root cause analysis and lead incident resolution to minimize downtime., • Continuously optimize system performance while ensuring strong security and compliance standards are enforced., • Lead capacity planning, scalability initiatives, and cloud cost optimization strategies., • Drive disaster recovery (DR) planning and execution, ensuring business continuity., • Mentor and guide junior team members, instilling adherence to operational standards and best practices., • Develop and maintain documentation, SOPs, dashboards, and service management reports., • Act as a key contributor to operational excellence by improving reliability, automation, and service delivery. Qualifications - • Bachelor’s degree in computer science, Information Technology, or related field (or equivalent professional experience)., • Strong hands-on experience with Unified Cloud platforms (AWS & Azure)., • Proven expertise in Disaster Recovery design, testing, and ongoing management., • Solid knowledge of DevOps tools: CI/CD (Jenkins, GitLab, Azure DevOps, etc.), configuration management (Ansible, Puppet, Chef), and version control (Git)., • Familiarity with scripting/automation languages (Python, Shell, PowerShell, etc.)., • Knowledge of monitoring tools, observability platforms, and incident management best practices., • Excellent problem-solving, debugging, and root cause analysis skills., • Strong communication and leadership skills with the ability to mentor and support team members.

Responsibilities: • Lead the design, development, and implementation of data solutions using AWS and Snowflake., • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions., • Develop and maintain data pipelines, ensuring data quality, integrity, and security., • Optimize data storage and retrieval processes to support data warehousing and analytics., • Provide technical leadership and mentorship to junior data engineers., • Work closely with stakeholders to gather requirements and deliver data-driven insights., • Ensure compliance with industry standards and best practices in data engineering., • 8+ years of relevant experience in Data Engineering and delivery., • 8+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations., • Strong experience with SQL, python and Pyspark, • Good understanding of Data ingestion and data processing frameworks, • Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture), • Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership as appropriate., • Should be able to do coding, debugging, performance tuning, and deploy the apps to the Production environment., • Have experience in DevOps tools (Jenkins, GIT, etc.) and practices, continuous integration, and delivery (CI/CD) pipelines., • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field., • Proven experience as a Data Engineer, with a focus on AWS and Snowflake., • Strong understanding of data warehousing concepts and best practices., • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders., • Experience in the insurance industry, preferably with knowledge of claims and loss processes., • Proficiency in SQL, Python, and other relevant programming languages., • Strong problem-solving skills and attention to detail., • Experience with data modeling and ETL processes., • Familiarity with data governance and data security practices., • Certification in AWS or Snowflake is a plus.

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Data Engineer – Databricks & Python (ETL Testing Focus) Location: Hybrid / Remote / Onsite (as per project requirements) Job Summary: We are seeking a Data Engineer with strong hands-on experience in Databricks, Python, and ETL Testing to support our enterprise data initiatives. The ideal candidate will be responsible for designing, developing, and validating data pipelines and analytics workflows, ensuring data integrity, accuracy, and performance across large-scale distributed environments. This role blends data engineering and data quality automation, leveraging Python (Pandas, PySpark) to perform functional, regression, and data validation testing of ETL workflows built in Databricks. Key Responsibilities: • Design, build, and maintain scalable ETL pipelines using Azure Databricks and PySpark for ingestion, transformation, and loading of structured and semi-structured data., • Develop and execute ETL test cases to validate data accuracy, transformation logic, and end-to-end data flow., • Implement automated data validation frameworks using Python (Pandas, PyTest, Great Expectations, or similar tools)., • Collaborate with data architects, analysts, and business users to ensure high-quality data delivery for analytics and reporting., • Perform data reconciliation and source-to-target validation between raw data and transformed layers., • Optimize Databricks notebooks and Spark jobs for performance and cost efficiency., • Implement CI/CD integration for ETL testing using Azure DevOps / GitHub Actions / Jenkins., • Maintain data quality metrics and monitor ETL job performance and reliability., • Work with Azure Data Factory, Delta Lake, and Azure Blob Storage for pipeline orchestration and data lake management., • 3–6 years of hands-on experience in Data Engineering or ETL Testing roles., • Strong proficiency in Python, including libraries such as Pandas, NumPy, and PyTest., • Hands-on experience with Databricks (Azure or AWS) and PySpark for ETL development and validation., • Solid understanding of data transformation, schema validation, and data quality assurance., • Experience writing complex SQL queries for data validation and reconciliation., • Working knowledge of Azure Data Factory or other orchestration tools., • Familiarity with Delta Lake, Parquet, and distributed data storage concepts., • Experience in version control and CI/CD practices (Git, Azure DevOps, Jenkins)., • Strong analytical and problem-solving skills with attention to detail.Company DescriptionTech spot consulting ,LLCTech spot consulting ,LLC

Job DescriptionMiddleware Messaging Engineer Location: Jersey City, NJ (Hybrid) Assignment Type: 12-Month Contract (Full-Time, Hybrid) W2H Pay Rate: $80-$85 Responsibilities * Provide 24/7 and, when necessary, weekend support for systems involved in the architecture. * Function as an IBM WebSphere MQ Administrator; install MQ environments on Windows and Linux. * Create and configure Queue Managers, channels, queues, and other MQ objects. * Perform backup and restore of Queue Managers and related objects; recover damaged MQ installations or Queue Managers. * Upgrade and patch MQ environments on Windows and Linux. * Implement custom MQ security solutions using channel exits or SSL; set up SSL communications between MQ servers and clients. * Install and configure MQ Clients on Windows and UNIX platforms. * Function as a Solace Messaging Engineer. * Install, upgrade, and patch Solace Appliances. * Administer Solace Appliances and configure redundancy and fault tolerance of Solace infrastructure. * Configure Solace bridging between remote appliances. * Configure different protocols with Solace appliances (MQTT, REST, AMQP). * Use Solace CLI to configure solace objects. * Demonstrate in-depth knowledge of Solace Queues and Topics. * Enable SSL for Solace communications. * Interface with application teams to troubleshoot complex, cross-platform Solace communication issues. * Identify operational and infrastructure risks and collaborate with development and APS teams to mitigate them. * Ensure optimal resilience and meet all disaster recovery and compliance requirements. * Configure monitoring for Solace Appliances. * Develop Python and Ansible playbooks to automate the messaging infrastructure. Required Qualifications * Strong knowledge and experience with IBM MQ and Solace installation, configuration, and setup. * Experience setting up redundancy and fault tolerance between Solace Appliances. * Knowledge of SSL setup for Solace and IBM MQ. * Strong experience with MQ processes, triggers, channels, and clustering. * Exposure to monitoring tools such as Nastel. * Knowledge of Kafka. * Strong experience with PowerShell scripting. * Working knowledge of Microsoft O/S, SUN Solaris, and Linux. * Experience with Python and Bash scripting. * Must comply with all organizational policies on attendance, compliance, and professional conduct. * Willingness to adapt to changes introduced in a dynamic environment. Plus Skills * Experience with web application servers (Apache Tomcat, JBOSS, WebLogic). * Experience with web servers (Apache Web, IIS). * Understanding of Load Balancers (LTM). * Understanding of DNS and GTMs. About the Client The client is a leading bank in Europe with an international reach, operating in 74 countries with more than 192,000 employees, including over 146,000 in Europe. The organization holds key positions across three main activities: Domestic Markets, International Financial Services, and Corporate & Institutional Banking, serving corporate clients and institutional investors. The client supports individuals, entrepreneurs, SMEs, and corporations through solutions spanning financing, investment, savings, and protection insurance. In Europe, it maintains four domestic markets — Belgium, France, Italy, and Luxembourg — and is a leader in consumer lending through its personal finance division. The company continues to expand its integrated retail-banking model across the Mediterranean region, Turkey, Eastern Europe, and the western United States, while maintaining a strong presence in the Americas and a fast-growing business in Asia-Pacific. #INDGEN #ZR

Job Description Job Title: Cloud Engineer (Immediate Joining) Location: [Anywhere in USA] Experience: 1–3 years Employment Type: Full-Time NO SPONSPORSHIP Are you excited about taking your technical career to new heights with a full-time, W-2 role as a consultant in a dynamic and rapidly growing company? If you are, let's get in touch – your interest is the first step to starting the conversation. Core Skills and Requirements 1. Basic Linux Knowledge • Comfortable working in a Linux terminal (CLI) environment., • Able to perform basic file operations (create, copy, move, delete files/folders)., • Understand and manage file and directory permissions, ownership, and basic user management., • Use of common Linux utilities like grep, top, df, ps, and chmod. 2. Basic Networking Fundamentals • Understanding of IP addressing, subnetting, and what private/public IPs mean., • Knowledge of DNS (Domain Name System) and how name resolution works., • Familiarity with HTTP/HTTPS protocols, what ports are, and what firewalls do at a high level. 3. Scripting Basics • Ability to read and write basic shell scripts (Bash) to automate repetitive tasks., • Some hands-on experience or learning in Python for simple scripting or tool use. 4. Git Version Control • Comfortable using Git for source code management., • Understand how to clone repositories, commit changes, push and pull code, and create branches., • Familiar with GitHub 5. CI/CD Concepts • Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are., • Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced., • Understand how code goes from development to production in an automated way. 6. Container Awareness • Have heard of Docker and understand the basic purpose of containers (e.g., "run applications in isolated environments")., • Understand the difference between containers and virtual machines at a high level., • Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals • Awareness of cloud platforms like AWS and Azure, • Understand concepts like virtual machines, storage, and networking in the cloud., • Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are not mandatory, but having some exposure will be a plus: • Infrastructure as Code (IaC): Basic idea of tools like Terraform – used to define cloud infrastructure using code., • Monitoring and Logging: Awareness of tools like Prometheus (for monitoring) and Grafana (for dashboards)., • Basic YAML knowledge: Since tools like Kubernetes and GitHub Actions use YAML, familiarity helps. Soft Skills • Willingness to learn new tools and concepts., • Good problem-solving attitude., • Ability to follow documentation and troubleshoot issues., • Comfortable working in a team and asking questions when stuck.Company DescriptionCompany Highlights: • Our Specialization: Providing IT consulting services., • Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.Company Highlights:\r\n\r\n- Our Specialization: Providing IT consulting services.\r\n- Experience: Over 25 years of combined domestic and international expertise in IT consulting serving hundreds of Fortune 1,000 and innovative startup clients.

Job Description Role and responsibilities: AWS Cloud Engineer AWS Cloud Engineer with 5-7 years of hands-on development experience . Role involves working directly with clients to understand business requirements and deliver solutions. Collaborating closely with business stakeholders and offshore teams to ensure seamless communication and successful project execution. Requirements: 5-7 years of hands-on experience with strong foundation in cloud computing, AWS services, and related technologies, along with skills in Infrastructure as Code (IaC), scripting, and DevOps principles. Deep knowledge of core AWS services like EC2, S3, RDS, VPC, IAM, and Lambda, with experience in designing and implementing cloud-based solutions. Proficiency in using IaC tools like AWS CloudFormation or Terraform to automate infrastructure provisioning and management. Strong scripting skills in languages like Python, Bash, or PowerShell for automating tasks and deployments. Understanding of DevOps practices, including CI/CD pipelines, and experience with tools like Docker and Kubernetes. Knowledge of networking concepts, security protocols, and compliance requirements in cloud environments. Experience in client-facing roles, with the ability to translate business requirements into technical solutions. Collaborating with business and offshore teams to deliver successful projects. Troubleshoot and resolve complex technical issues in a timely manner. Participate in code reviews, ensuring high standards of quality, performance, and security. Contribute to the architecture and design of software solutions in line with industry best practices. Strong knowledge of software development life cycle, Agile methodologies, and version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to engage with both technical and non-technical stakeholders.

Job Description Microsoft Fabric Data Engineer - 6 month Hybrid full-time role. Our client is seeking a highly experienced Microsoft Fabric Data Engineer to design, build, and optimize our enterprise data and analytics platform. The ideal candidate will be an expert in the Microsoft Azure ecosystem, with deep hands-on experience in data management, ETL/ELT processes, and big data technologies. You will be instrumental in migrating and modernizing our data infrastructure, ensuring it is scalable, performant, and cost-effective to support advanced analytics and business intelligence. Key Responsibilities: • Architect & Implement Data Solutions: Design, implement, and manage scalable data storage and processing systems using Azure services including Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database., • Develop Data Pipelines: Build, maintain, and orchestrate efficient, scalable, and reliable ETL/ELT processes using Azure Data Factory and Apache Spark (PySpark) to integrate data from diverse sources., • Drive Platform Migration: Lead and contribute to the build-out of new applications and the migration of existing ones to a modern cloud-based data architecture within an Agile (SAFe) framework., • Optimize Performance: Proactively monitor, troubleshoot, and optimize data pipelines and database systems for maximum performance, efficiency, and cost-management., • Collaborate in Agile Teams: Work closely with Scrum Masters, Product Owners, and cross-functional teams to deliver high-value features and meet sprint objectives., • Ensure Best Practices: Document data models, engineering processes, and pipelines to ensure clarity, transparency, and long-term maintainability., • Location: Must be local to Newark, New Jersey or the surrounding area., • Azure Expertise: 7+ years of hands-on experience designing and implementing solutions within Microsoft Azure., • Data Platform Focus: 5+ years of proven experience specifically building and optimizing data and analytics platforms on Azure., • Certification: Must possess either the DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer Associate) certification. Direct hands-on experience with Microsoft Fabric is also highly valued., • Technical Proficiency:, • Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage (Gen2)., • 3+ years of strong programming experience with Python and PySpark for data processing and automation. Education: Bachelors degree in Computer Science, Information Technology, or a related field. Preferred Skills: • Proficiency with project management and collaboration tools such as Jira and Confluence., • In-depth understanding of SAFe (Scaled Agile Framework) principles and DevOps practices., • Strong knowledge of data modeling, data warehousing concepts, and best practices., • Excellent problem-solving and analytical skills, with a proven ability to perform root cause analysis and implement effective solutions., • Meticulous attention to detail and an unwavering commitment to data accuracy and quality. What's on Offer: • A competitive salary and comprehensive benefits package., • The opportunity to work on a high-impact, large-scale migration project with modern technologies., • A collaborative and innovative work environment that fosters professional growth. If you are a local New Jersey candidate who meets all the "Must-Have" qualifications and is excited to take on this challenge, please apply with your updated resume detailing your relevant experience. Equal Opportunity Employer Fortis Hayes is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 DescriptionGreetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes • Software Engineer Further Skillset: • AWS Cloud native application development experience is a must, • Experience with AWS Infrastructure provisioning technologies, • Familiarity with cloud database technologies, • Must have experience with Java and Python, • Must have experience with git, unit testing, Dev Ops, CI/CD, • Have experience with authentication protocols SAML and JWT, • Strong organizational and project management skills., • Excellent verbal communication skills., • Good problem-solving skills. Jennifer Sampson Technical Recruiter ....................................................... DONATO TECHNOLOGIES, INC 12100 Ford Rd, #306, Dallas, TX 75234 Direct : (469)-342-0401 Email: Web:

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 DescriptionAkamai Expert Engineer (Green Card/USC) Core skills Manage confirmation for Akamai Automation of configuration mgt in Akamai tool Very hands on with Akamai CDN Responsibilities: Design, develop, and implement automation solutions for Akamai configurations. Create and maintain scripts and tools to automate the deployment and management of Akamai services. Collaborate with development, operations, and security teams to integrate automated Akamai solutions into the overall infrastructure. Monitor and analyze the performance of automated configurations to ensure optimal operation. Troubleshoot and resolve issues related to automated Akamai configurations. Qualifications: Extensive experience with Akamai technologies, including CDN, WAF, and other performance and security solutions. Strong proficiency in scripting languages such as Python, Perl, or Shell. Experience with automation tools and frameworks (e.g., Ansible, Terraform, Jenkins). Strong communication and collaboration skills.

Job Description Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure Microsoft Fabric Data Engineer requires: • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps., • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

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 Senior Data Engineer (Risk / Financial Domain) NYC 3days/week onsite (In person interview is must) Banking domain is must with Credit Risk Capital applications, Overall 15+ years of experience and have strong working knowledge on Credit Risk Capital applications, Python, Finance, Economics, or a related field. Technical Skills: Mandatory (Strong) Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD Job Description: We are seeking a highly skilled and experienced IT developer to join our dynamic Credit Risk Capital IT team within Credit Risk Technology Group. As a Senior IT Developer, you will play a crucial role in designing, implementing, and maintaining the application and infrastructure for Credit Risk Capital applications following regulations like SACCR, CEM etc. Responsibilities: Understand technical specifications Business requirements discussion with business analyst and business users Python/SQL Server/Snowflake/Databricks application development and system design Develop and maintain data models and schemas to support data integration and analysis. Implement data quality and validation checks to ensure accuracy and consistency of data. Execution of UT and SIT with business analysts to ensure of high-quality testing Support for UAT with business users Production support and maintenance of application platform General: Around 15 years IT industry experience Strong communication skills Agile methodology and SDLC processes Design and Architecture experience Experience working in global delivery model (onshore/offshore/nearshore) Strong problem-solving and analytical skills Self-starter, collaborative team player and works with minimal guidance Plus: PySpark Financial systems/capital markets/credit risk/regulatory application development experience

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 DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

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

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 DescriptionWho We Are: At Sectigo, we align around our mission and pride ourselves in helping thousands of customers sleep better at night. Sectigo is a leading provider of digital identity and cybersecurity solutions, offering a comprehensive suite of products to protect online transactions and communications. Our mission is to secure the digital landscape for enterprises worldwide. “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, Collaboration, 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. What We Are Looking For: Our Sales Engineers take ownership as being the technical prime to articulate the technical value and fit for our customers and prospects. We are looking for a Sales Engineer who possesses exceptional technical, presentation, and communications skills that takes our customers and prospects through the pre-sales stages, which encompasses a technical presentation of our product and service offerings, an assessment and understanding of our customers’ and prospects’ existing IT infrastructure to ensure optimal understanding of potential use cases, and an overall guidance through a proof of concept. At Sectigo, our Sales Engineers are the technical bridge and a liaison among various stakeholders, such as our sales team, channel partners, customers, prospects, etc. This is a full-time and remote position, ideally based in the BosWash region of the U.S. What You’ll Be Doing: • Assist mid-market and enterprise sales teams with customer management and customer expectations throughout the sales process., • Conduct technical presentations and demos for prospects, channel partners that is tailored to the audience whether they are engineers and/or executives., • Provide Proof of Concept service to customers/prospects, assist clients with planning and implementation of Sectigo solutions., • Provide training to new/existing channel partners along with responding to incoming technical inquiries., • Work in a fast-paced environment under minimal supervision., • Assist with sales proposals and RFPs/RFIs., • Contribute to building/improving the SE Readiness Program such as: Develop subject matter expertise in assigned products/solutions; share best practices with the team to enhance quality of service and efficiency; maintain and expand working knowledge of current and future products; and provide product training and mentoring when required., • Willing to travel regionally for customers facing activities, as well as marketing, user group events, and conferences., • Channel feature requests to Product Management to enhance Sectigo products., • Participate in alliance projects including building vendors’ and customers’ relationships., • Additional responsibilities and special projects as assigned., • Other duties as assigned and related to the nature of this role and company initiatives. Requirements: Education • Bachelor’s degree in computer science or engineering from an accredited college, or equivalent work experience is strongly recommended., • MCP – Microsoft Certified Professional (considered an asset)., • Linux/Solaris/UNIX System Administration (considered an asset)., • Minimum 5+ years of industry experience with a minimum of 1-2 within a pre-sales environment is required., • Current or prior Sales Engineering and/or professional services experience is strongly preferred., • Experience working with various Microsoft software and systems, specifically Active Directory, Windows platforms servers and clients., • Experience working with Linux platforms., • Experience with Public Key Infrastructure (PKI), SSL, X509 (considered an asset)., • Experience with webservers & firewall/load balancers software/platforms (considered an asset)., • Experience with Public Cloud (Azure, GCP, AWS) (considered an asset)., • Must be able to travel more than 35% of the time to the assigned regions and/or territories. Talents and Desired Qualifications:, • 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., • Software as a Service (SaaS) technical solutions selling., • Solid multi-tasking, troubleshooting and problem resolution abilities., • Self-starter with a can-do/will-do attitude, quick leaner, willingness to work as part of a team, and a desire to continually learn new tools/technologies., • English language proficiency required., • Willingness to travel up to 50% of the time if required.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer 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. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. 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 mobile 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. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Architect end-to-end AI systems from data ingestion and model development to deployment and monitoring while mentoring junior teammates and staying ahead of the rapidly evolving AI landscape.

Job Title: Cloud Operations Engineer – Unified Cloud & Disaster Recovery Location: New Jersey City, NJ (Work from Office) Overview - Vibhathi Labs are seeking a skilled and motivated Cloud Operations Engineer with expertise in Unified Cloud and Disaster Recovery to join our team in New Jersey City. The ideal candidate will be responsible for ensuring the reliability, availability, security, and performance of our cloud infrastructure while driving operational excellence and mentoring junior team members. Key Responsibilities - • Monitor system health and proactively troubleshoot incidents to ensure high service availability and reliability., • Deploy and manage cloud infrastructure leveraging automation and DevOps best practices., • Maintain and optimize CI/CD pipelines, configuration management tools, and version control systems., • Partner with development teams for seamless code and environment deployments across various environments., • Perform detailed root cause analysis and lead incident resolution to minimize downtime., • Continuously optimize system performance while ensuring strong security and compliance standards are enforced., • Lead capacity planning, scalability initiatives, and cloud cost optimization strategies., • Drive disaster recovery (DR) planning and execution, ensuring business continuity., • Mentor and guide junior team members, instilling adherence to operational standards and best practices., • Develop and maintain documentation, SOPs, dashboards, and service management reports., • Act as a key contributor to operational excellence by improving reliability, automation, and service delivery. Qualifications - • Bachelor’s degree in computer science, Information Technology, or related field (or equivalent professional experience)., • Strong hands-on experience with Unified Cloud platforms (AWS & Azure)., • Proven expertise in Disaster Recovery design, testing, and ongoing management., • Solid knowledge of DevOps tools: CI/CD (Jenkins, GitLab, Azure DevOps, etc.), configuration management (Ansible, Puppet, Chef), and version control (Git)., • Familiarity with scripting/automation languages (Python, Shell, PowerShell, etc.)., • Knowledge of monitoring tools, observability platforms, and incident management best practices., • Excellent problem-solving, debugging, and root cause analysis skills., • Strong communication and leadership skills with the ability to mentor and support team members.

Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake. Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers. Get notified about new Data Engineer jobs in.

A financial firm is looking for a.Within this role, you will be responsible for the design, development, testing, support, and maintenance of software applications.The primary technology will be Python, SQL, C#/.Net, middleware IBM MQ for messaging, and AWS/ Azure cloud.Computer Science or related

Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS). In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:. At least 4 years of experience programming with Python, Scala, or Java.

Experience in working with and fine-tuning Large Language Models (LLMs), Gen AI, including the design, optimization of NLP systems, frameworks, and tools.Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc.Utilize off-the-shelf LLM service

Senior Software Engineer, Backend (Python/Go/Java, AWS). Richmond, VA: $144,200 - $164,600 for Senior Software Engineer. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Job Opportunity At Synergisticit.Synergisticit wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need.Position open for all visas and US citi

Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS). Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer. San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning Engineer.

The client is a global consulting, technology, and digital firm specializing in the financial services industry.Established in 2001, the company provides innovative solutions to help clients navigate digital transformation, enhance operational efficiency, and achieve strategic objectives.With a focu

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

We are on the lookout for Software Engineers who excel in Python. As a Software Engineer, you'll play a pivotal role on your team, taking ownership of cutting-edge projects. Bachelor's degree in Computer Science, Mathematics, or a related Engineering/Science discipline.

Lead Software Engineer, Backend (Python/Go/Java, AWS). Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. At least 4 years of prof

Genesis10 is currently seeking a Python Engineer with our client in the financial industry located in Charlotte, NC and New York, NY.

Senior Data Engineer (Python, AWS). As a Capital One Senior Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data

Define and enforce standards: Establish and enforce backend engineering standards, including typing, linting, testing, and code organization. Backend services and APIs: Develop robust backend services and RESTful APIs using Python (FastAPI). Best practices advocacy: Promote software engineering best

Senior Software Engineer, Back End (Python, AWS ). New York, NY: $173,000 - $197,400 for Senior Software Engineer. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields. As a Lead Research Engineer at Thomson Reuters La

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field

This role offers the right candidate an opportunity to lead a team of engineers at the cutting edge of delivering scalable high performance solutions in collaboration with our ML Engineers, Data Scientists, Product Managers and Analytics specialists, ensuring best-in-class deliveries for our global

Lead Software Engineer (Python, AWS). JavaScript, Java, TypeScript, SQL, Python, or Go. McLean, VA: $193,400 - $220,700 for Lead Software Engineer.

Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python. Cloud & Infra Engineering Manager. This role is for a senior platform engineer who will help build a firmwide AI Development Platform a

McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning Engineer Candidates hired

Job Opportunity At Synergisticit.SynergisticIT wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need SynergisticIT understands the complex n

What You'll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in

As a Python SDK Engineer at Fern, you'll define what great looks like for modern Python SDKsmaking them idiomatic, reliable, and delightful to use. We trust engineers to figure out the best path forwardwithout micromanagement. You'll get firsthand exposure to how a startup scales with visibility int