ApplySarthi

AI/ML Engineer

Talentskeet Consulting

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6,592 open AI roles across 959 companies are on ApplySarthi right now, most of them in Bengaluru (385), Hyderabad (136), Delhi NCR (63).

What AI roles keep asking for: Python (38%), LLMs (37%), AWS (25%), Machine learning (24%), Generative AI (23%), Observability (18%), RAG (16%), CI/CD (15%) — counted across their open postings here.

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Preparing for this interview

Interviews for AI roles keep coming back to Python, LLMs, AWS, Machine learning. Practise those questions before you sit with Talentskeet Consulting.

Questions you are likely to be asked

  1. Why do you want to join Talentskeet Consulting?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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**Position: AI/ML Engineer** **Experience:** 3–6 years **Location:** Bengaluru / Hybrid **Employment Type:** Full-time ### Job Summary We are looking for an experienced **AI/ML Engineer** to design, develop, deploy, and maintain machine learning and AI solutions that solve real-world business problems. ### Key Responsibilities - Develop and implement machine learning models and algorithms. - Build and optimize ML pipelines for training, evaluation, and deployment. - Work with structured and unstructured data for predictive modeling. - Develop AI/ML applications using **Python** and relevant ML frameworks. - Deploy models into production and monitor their performance. - Collaborate with data scientists, software engineers, and product teams. - Perform model tuning, validation, and optimization. - Stay updated with emerging AI/ML technologies, including **Generative AI and LLMs**. ### Required Skills - Strong programming skills in **Python**. - Hands-on experience with **Machine Learning and Deep Learning**. - Experience with **TensorFlow, PyTorch, or Scikit-learn**. - Strong understanding of algorithms, statistics, and data structures. - Experience with **NLP, Generative AI, or LLMs** is an advantage. - Knowledge of **SQL** and data processing. - Experience with **REST APIs, Git, Docker**, and cloud platforms such as **AWS/Azure/GCP**. - Good problem-solving and analytical skills. ### Preferred Skills - Experience with **LLM, RAG, LangChain, vector databases, or AI agents**. - Knowledge of MLOps and CI/CD. - Experience deploying ML models at scale. ### Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

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Listed on wellfound · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Talentskeet Consulting, not by us.