Job Description
We're Hiring: Senior ML Engineer (Tech Lead)
Company: Nekko
Position: Senior Machine Learning Engineer
Experience: 4 - 6 Years
Location: On-site Hyderabad
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/Open CV) 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, Py Torch/Tensor Flow, and Computer Vision libraries (Open CV, YOLO, CVAT, Roboflow).
- AWS Cloud Native: Deep experience with the AWS ecosystem, specifically Bedrock (Gen AI), Sage Maker, Lambda, and EC2.
- Production Engineering: Strong grasp of Docker, API development (Fast API/Flask), and database integration.
- MLOps: Experience setting up CI/CD pipelines (Git Hub 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/Git Hub to
Company: Nekko
Position: Senior Machine Learning Engineer
Experience: 4 - 6 Years
Location: On-site Hyderabad
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/Open CV) 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, Py Torch/Tensor Flow, and Computer Vision libraries (Open CV, YOLO, CVAT, Roboflow).
- AWS Cloud Native: Deep experience with the AWS ecosystem, specifically Bedrock (Gen AI), Sage Maker, Lambda, and EC2.
- Production Engineering: Strong grasp of Docker, API development (Fast API/Flask), and database integration.
- MLOps: Experience setting up CI/CD pipelines (Git Hub 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/Git Hub to
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