Required Skills / Competencies

- Programming Languages
- Strong in Python, data structures, and algorithms.
- Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

- Machine Learning Frameworks

- Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

- Deep Learning Techniques

- Proficiency with PyTorch or TensorFlow/Keras
- Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
- Familiarity with optimization (Adam, SGD), dropout, batch norm.

- LLMs RAG

- Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
- Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
- Prompt engineering, function/tool calling, JSON schema outputs.

- Data Tools

- SQL fundamentals; exposure to data wrangling and pipelines.
- Git/GitHub, Jupyter, basic Docker.

What are we looking for





- Solid academic foundation with strong applied ML/DL exposure.
- Curiosity to learn cutting-edge AI and willingness to experiment.
- Transparent communicator who can explain ML/LLM trade-offs simply.
- Strong problem-solving and ownership mindset.

Minimum Qualifications

Doctorate (Academic) Degree and 5 years related work experience; Masters Level Degree and related work experience of 8 years; Bachelors Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Specialist, AI Engineer (Chennai)
🏢 KLA
📍 Chennai