Required Skills / Competencies
Programming Languages
Robust 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 robust applied ML/DL exposure.
Curiosity to learn cutting-edge AI and willingness to experiment.
Clear communicator who can explain ML/LLM trade-offs simply.
Robust 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