Job highlights

- Bachelor s or Master s degree in Computer Science,Machine Learning,Data Science,or related field (PhD is a plus)
- . Proficiency in Python and ML libraries such as scikit-learn,TensorFlow,PyTorch,HuggingFace Transformers,etc
- . 8+ years of hands-on experience in machine learning,with at least 1-2 years in a leadership or mentorship role

We are seeking a highly skilled Machine Learning Lead to drive the development and deployment of advanced machine learning solutions across our products and platforms. This role demands a balance of technical excellence, project leadership, and a deep understanding of business goals. You will lead a team of ML engineers and data scientists, collaborating cross-functionally with product, engineering, and business stakeholders to deliver impactful AI-driven outcomes. `Key Responsibilities: `

- Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring.
- Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization.
- Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments.
- Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning.
- Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning).
- Build RAG & Prompt Engineering Pipelines:



Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS.
- Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions.
- Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Must-Have:

- Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus).
- 8+ years of hands-on experience in machine learning, with at least 1-2 years in a leadership or mentorship role.

- Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc.
- Robust understanding of statistics, optimization, and model evaluation techniques.

- Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow.
- Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar.

- Proven track record of deploying ML models into production at scale.
- Excellent communication and leadership skills. Nice-to-Have:

- Background in domain-specific ML (e.g., healthcare, fintech, manufacturing).
- Familiarity with data engineering tools like Apache Spark, Airflow.
- Prior experience in startup or fast-paced environments.

Skills to Have : Artificial Intelligence, Natural Language Processing, machine learning, Deep Learning, Scikit-Learn, Python, Pytorch, Tensorflow, data science, Huggingface, Transformers, Langchain, Crew AI, Aws Cloud, Gcp Cloud, Azure Cloud.

📌 Lead Machine Learning Engineer (Nagercoil)
🏢 CapeStart
📍 Nagercoil