Senior Data Scientist/GenAI/Machiner Learning Engineer

Job Title: Senior Data Scientist/GenAI/Machiner Learning Engineer Location: Open Work Arrangement: Hybrid Client Industry: Enterprise BFSI client Duration: 12+ Months Contract Schedule: Monday to Friday, Standard working hours About the Role: We are seeking a highly skilled Senior Data Scientist/Engineer to join our team and help build next-generation AI and GenAI platforms from the ground up. This role is ideal for hands-on engineers with deep expertise in Python, distributed data systems, and GenAI development, including RAG pipelines, vector databases, and inference frameworks. You will work on designing, developing, and productionizing scalable AI solutions—not simply consuming cloud-based AI services. Top Three skills: • Advanced Python & Backend Engineering • GenAI / RAG Development (Built from Scratch) • Vector Databases & Inference Frameworks • Machiner Learning / GenAI Lifecycle & DevOps Integration What We’re Looking For: • Expert-level Python development skills. • Hands-on experience in application development with technologies such as MongoDB, Redis, Angular/React Frameworks, and Containerization. • Experience with AI/ML/GenAI Lifecycle Management and Development, including building frameworks using MLFlow, KubeFlow, Fine-Tuning techniques, and Inference Frameworks. • Proficiency in building API-based applications leveraging FAST API services, JWT Integration, and API Gateway. • Experience working in large teams that collaboratively develop on a shared multi-repo codebase using IDEs like VS Code, Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing. • Hands-on DevOps experience with enterprise development tools such as Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory), and Deployment (Ansible). Compensation: Hourly Rate: $66 - $67 per hour This range reflects base compensation and may vary based on location, market conditions, experience, and candidate qualifications. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable) About Us: At Collabera, we don’t just offer jobs—we build careers. As a global leader in talent solutions, we provide opportunities to work with top organizations, cutting-edge technologies, and dynamic teams. Our culture thrives on innovation, collaboration, and a commitment to excellence. With continuous learning, career growth, and a people-first approach, we empower you to achieve your full potential. Join us and be part of a company that values passion, integrity, and making an impact. Ready to Apply? Apply now on shivani.soni@collabera.com