We're Hiring: Senior ML Engineer (Tech Lead) Company: Nekko Position: Senior Machine Learning Engineer Experience: 4 - 6 Years Location: On-site Chennai Employment Type: Full-Time About the Role At Nekko, we are looking for a hands-on Senior Machine Learning Engineer to bridge the gap between technical execution and team leadership. In this hybrid role, you will architect scalable AI solutions using AWS, contribute high-quality code as a core developer, and mentor our growing team of AI/ML Associates. You will drive the technical direction for our Computer Vision and Generative AI initiatives, ensuring our models are not only accurate but production-ready and cost-optimized. Key Responsibilities Help design and develop the next generation of ML, NLP & GENAI products, and AI based services for healthcare & Pharmacy division Technical Architecture & Development (60% IC) End-to-End Ownership: Design, build, and deploy production-grade ML pipelines for Computer Vision (YOLO/OpenCV) and Generative AI (AWS Bedrock) tasks. Cloud Architecture: Architect serverless and containerized solutions using AWS Lambda, EC2, and S3, ensuring scalability and cost-efficiency. MLOps Implementation: Build and maintain CI/CD pipelines for ML models; manage model versioning, drift monitoring, and retraining loops. Optimization: Optimize model inference time and resource usage for real-time applications. 2. Team Leadership & Strategy (40% Management) Mentorship: Lead code reviews, provide technical guidance, and mentor AI/ML Associates to improve their coding standards and problem-solving skills. Technical Strategy: Translate high-level business objectives into technical roadmaps and actionable engineering tasks. Best Practices: Establish standards for code quality, documentation, and testing within the AI team. Stakeholder Management: Collaborate with product managers and cross-functional teams to define feasibility and timelines for AI projects. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Experience: 4–6 years of total industry experience, with at least 3 years strictly focused on deploying ML models in production. Leadership: Proven experience (formal or informal) leading small teams, conducting code reviews, or managing project deliverables. Required Skills (The "Must-Haves") Core ML/CV: Expert proficiency in Python, PyTorch/TensorFlow, and Computer Vision libraries (OpenCV, YOLO, CVAT, Roboflow). AWS Cloud Native: Deep experience with the AWS ecosystem, specifically Bedrock (GenAI), SageMaker, Lambda, and EC2. Production Engineering: Strong grasp of Docker, API development (FastAPI/Flask), and database integration. MLOps: Experience setting up CI/CD pipelines (GitHub Actions/Jenkins) and model monitoring. Preferred Skills: Experience optimizing costs for cloud-based ML workloads. Background in video analytics or object detection at the edge. Familiarity with Agile/Scrum methodologies. Why Join Nekko? You won't just be a cog in the wheel; you will define the technical culture of our AI team. If you are a builder who loves to code but is ready to lead, this is the place for you. To Apply: Please send your updated resume and a link to your portfolio/GitHub to
Job Title
Senior Machine Learning Engineer