Position Overview We are seeking a highly skilled and motivated Java Full Stack Web Developer with strong front-end experience in React, a solid background in AWS cloud services, and a willingness to work on data engineering tasks. The ideal candidate will have a strong foundation in Java backend development, expertise in building responsive, user-friendly interfaces using React, and experience with deploying and managing web applications on AWS. Additionally, knowledge of Python and willingness to work on data engineering will be essential. Responsibilities A background in bioinformatics is a plus, making this role perfect for those interested in working within the domain of precision medicine and Responsibilities : Full Stack Development : Design, develop, and maintain robust, scalable, and secure full-stack web applications using Java for backend services and React for front-end interfaces. Frontend Development with React : Build intuitive and responsive user interfaces using React, ensuring a seamless user experience across different devices and browsers. Backend Development with Java : Develop backend services and APIs using Java and related frameworks such as Spring Boot, ensuring efficient and scalable server-side logic. AWS Cloud Deployment : Deploy, manage, and optimize web applications on AWS using services such as ECS (Elastic Container Service), RDS (Relational Database Service), S3, and Lambda. Database Management : Design and manage databases, write complex SQL queries, and optimize database performance, leveraging AWS RDS and other related services. Data Engineering : Work on data engineering tasks, including data extraction, transformation, and loading (ETL) processes. Leverage Python for data processing and manipulation. API Development and Integration : Develop RESTful APIs and integrate third-party services to enhance application functionality. Code Review and Collaboration : Participate in code reviews, provide constructive feedback, and collaborate with other developers, designers, and product managers to deliver high-quality software. Testing and Debugging : Write unit and integration tests, debug issues, and ensure the robustness and reliability of the codebase. Continuous Improvement : Stay up-to-date with the latest industry trends and technologies, continuously improving the codebase and development : Experience : Proven experience as a Full Stack Web Developer with a strong focus on Java backend development and React front-end development. Experience with Spring Boot, Hibernate, and other Java-related frameworks. Strong knowledge of HTML, CSS, JavaScript, and modern JavaScript frameworks/libraries like React.js. Experience with AWS services such as ECS, RDS, S3, Lambda, and CloudFormation for deploying and managing web applications. Familiarity with RESTful API development and integration. Experience with database management systems such as MySQL, PostgreSQL, or MongoDB, particularly within AWS environments. Proficiency with version control systems like Git. Data Engineering Skills : Familiarity with data engineering concepts, ETL processes, and Python for data processing. Domain Expertise (Nice to Have) : Experience in the bioinformatics domain, working with genomic data or similar, would be highly beneficial. Experience with cBioPortal or similar applications will be a Skills : Strong expertise in Java and related frameworks (e.g., Spring Boot). Extensive experience with front-end technologies, particularly React.js. Solid understanding of web technologies such as HTML, CSS, and JavaScript. Experience with database design, SQL, and ORMs like Hibernate. Proficiency in deploying and managing applications on AWS using ECS, RDS, Cache, and related services. Familiarity with build tools and CI/CD pipelines (e.g., Maven, Jenkins). Experience with Python for data manipulation and ETL processes will be a plus. (ref:hirist.tech)
Company/Payroll : Infotech Global (India) Pvt Ltd Client : LTI Mindtree - Fiserv Job Title : Lead AI ML Engineer Location : Chennai, TN Work Mode : 100% Onsite Notice Period : Immediate – 30 Days Employment Type : Full-Time with Infotech Global NOTE: Looking for someone who can join from 1st Week of January 2026, Also this is Full Time position with Infotech Global whereas you will be deployed in Client Location in Chennai and its 100% Work from Office Position We are seeking a AI/ML Engineer with deep expertise in AI and Machine Learnin g. The ideal candidate will have extensive experience designing, implementing, and optimizing integration solutions leveraging Copilot frameworks (e.g., Microsoft Copilot, GitHub Copilot, or similar AI-driven integration platforms). This individual will collaborate closely with cross-functional teams to build intelligent, automated, and scalable integration systems that enhance financial workflows and decision-making. Key Responsibilities: Lead the design, development, and deployment of integration solutions using Copilot tools and AI-driven frameworks . Work with financial data systems , ensuring secure and compliant integration between internal and third-party applications. Develop and maintain API-based integrations , data pipelines, and automation workflows. Leverage AI and Machine Learning models to enhance system intelligence, data analytics, and process automation. Collaborate with product owners, data scientists, and engineering teams to align AI/ML capabilities with financial business needs. Troubleshoot, optimize, and enhance existing integration frameworks for scalability and performance. Mentor junior engineers and promote best practices in AI-powered integration development. Ensure compliance with financial regulations , data governance, and security standards. Required Skills & Experience: 8+ years of experience in software integration , system architecture, or data engineering. Proven experience with Copilot tools (e.g., Microsoft Copilot, GitHub Copilot, or similar AI-powered integration platforms). Strong background in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Azure ML. Proficiency in Python , Java , or C# for integration and automation development. Experience with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes). Familiarity with API management , ETL tools , and data integration platforms . Strong knowledge of data security , compliance , and financial data governance standards. Job Type: Full-time Pay: ₹3,000,000.00 - ₹4,000,000.00 per year Ability to commute/relocate: Kovilambakkam, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): How many Years of Experience you have with Generative AI/LLM/ RAG How many Years of Experience you have with Cloud Technologies like AWS/Azure Do you have atleast 8+ Years of Expereince in Data Science and Related Field How many Years of Experience you have with API-based integrations Can you Join max by 1st Week of January 2026 Experience: Python: 7 years (Required) Machine learning: 3 years (Required) Work Location: In person
Company/Payroll : Infotech Global (India) Pvt Ltd Client : LTI Mindtree - Fiserv Job Title : Lead AI ML Engineer Location : Chennai, TN Work Mode : 100% Onsite Notice Period : Immediate – 30 Days Employment Type : Full-Time with Infotech Global NOTE: Looking for someone who can join from 1st Week of January 2026, Also this is Full Time position with Infotech Global whereas you will be deployed in Client Location in Chennai and its 100% Work from Office Position We are seeking a AI/ML Engineer with deep expertise in AI and Machine Learnin g. The ideal candidate will have extensive experience designing, implementing, and optimizing integration solutions leveraging Copilot frameworks (e.g., Microsoft Copilot, GitHub Copilot, or similar AI-driven integration platforms). This individual will collaborate closely with cross-functional teams to build intelligent, automated, and scalable integration systems that enhance financial workflows and decision-making. Key Responsibilities: Lead the design, development, and deployment of integration solutions using Copilot tools and AI-driven frameworks . Work with financial data systems , ensuring secure and compliant integration between internal and third-party applications. Develop and maintain API-based integrations , data pipelines, and automation workflows. Leverage AI and Machine Learning models to enhance system intelligence, data analytics, and process automation. Collaborate with product owners, data scientists, and engineering teams to align AI/ML capabilities with financial business needs. Troubleshoot, optimize, and enhance existing integration frameworks for scalability and performance. Mentor junior engineers and promote best practices in AI-powered integration development. Ensure compliance with financial regulations , data governance, and security standards. Required Skills & Experience: 8+ years of experience in software integration , system architecture, or data engineering. Proven experience with Copilot tools (e.g., Microsoft Copilot, GitHub Copilot, or similar AI-powered integration platforms). Strong background in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Azure ML. Proficiency in Python , Java , or C# for integration and automation development. Experience with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes). Familiarity with API management , ETL tools , and data integration platforms . Strong knowledge of data security , compliance , and financial data governance standards. Job Type: Full-time Pay: ₹3,000,000.00 - ₹4,000,000.00 per year Ability to commute/relocate: Kovilambakkam, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): How many Years of Experience you have with Generative AI/LLM/ RAG How many Years of Experience you have with Cloud Technologies like AWS/Azure Do you have atleast 8+ Years of Expereince in Data Science and Related Field How many Years of Experience you have with API-based integrations Can you Join max by 1st Week of January 2026 Experience: Python: 7 years (Required) Machine learning: 3 years (Required) Work Location: In person