Role & responsibilities
Design, develop, train, and evaluate Machine Learning and Deep Learning models.
Apply feature engineering, model selection, hyperparameter tuning, and model optimization.
Build and maintain production-grade AI/ML solutions.
Develop scalable ML pipelines and implement MLOps practices.
Deploy, monitor, and maintain ML models in cloud environments.
Work with ML platforms such as Amazon SageMaker, Azure Machine Learning, or Vertex AI.
Develop GenAI applications using LLMs, RAG, embeddings, and vector databases.
Build AI agent workflows using LangGraph, CrewAI, or similar frameworks.
Develop AI solutions involving Computer Vision where required.
Build scalable APIs and AI services using Python and FastAPI.
Collaborate with engineering and product teams to solve real-world business problems using AI.
Write clean, maintainable, and well-tested code and contribute to code reviews and technical decisions.

Preferred candidate profile
25 years of hands-on experience in Machine Learning and Deep Learning.




Robust Python programming and problem-solving skills.
Experience building and deploying production-grade ML solutions.
Strong understanding and practical experience with ML algorithms, feature engineering, model evaluation, and optimization.
Experience with MLOps and cloud ML platforms.
Exposure to GenAI, LLMs, RAG, AI Agents, or Computer Vision is preferred.
Good software engineering practices and ability to work independently in a startup environment.

Perks and benefits
Opportunity to work on real-world AI/ML products.
Exposure to ML, GenAI, AI Agents, and emerging AI technologies.
Opportunity to work with modern cloud and MLOps platforms.
Learning and growth prospects in a rapid-paced startup workplace.
Work closely with experienced AI and engineering teams.
Opportunity to take ownership and make a direct impact on products.

📌 Senior Ml Engineer Hyderabad
🏢 Cogniwissen
📍 Hyderabad