Role & responsibilities

- Build, train, and evaluate ML/DL models.

- Perform feature engineering, model selection, and hyperparameter tuning.

- Develop and deploy production ML solutions and pipelines.

- Implement MLOps practices for model deployment and monitoring.

- Work with cloud ML platforms and AI/ML infrastructure.

- Contribute to GenAI, RAG, AI Agent, and Computer Vision projects.

- Develop Python-based APIs and AI services.

- Collaborate with the team to solve real-world business problems using AI.

Preferred candidate profile

- 13 years of hands-on experience in Machine Learning and Deep Learning.

- Strong Python programming and problem-solving skills.

- Positive practical experience with ML algorithms, feature engineering, and model evaluation.

- Experience building ML models and applying them to real-world problems.





- Understanding of MLOps and model deployment.

- Exposure to GenAI, LLMs, RAG, AI Agents, or Computer Vision is preferred.

- Good understanding of software engineering practices and Git.

- Willingness to learn and work across different AI/ML technologies.

Perks and benefits

- Opportunity to work on real-world AI/ML products.

- Hands-on exposure to Classical ML, Deep Learning, GenAI, and AI Agents.

- Work with modern cloud and MLOps technologies.

- Learning and growth opportunities in a fast-paced AI startup.

- Opportunity to work closely with experienced AI/ML engineers.

- Scope to take ownership of projects and build production-grade solutions.

📌 ML Engineer (Hyderabad)
🏢 Cogniwissen
📍 Hyderabad