DATA SCIENTIST / MACHINE LEARNING:

Machine Learning Expertise: Hands-on experience with ML frameworks

NLP Knowledge: Strong understanding of natural language processing, embeddings, and transformer-based models (e.g., BERT, RoBERTa, GPT).

Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other ANN libraries.

Search Algorithms: In-depth knowledge of similarity search techniques, including cosine similarity, dot-product scoring, and clustering methods.

Programming Skills: Robust coding abilities in Python (experience with libraries like NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.).

Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and containerization/orchestration tools like Docker and Kubernetes.

Awareness of latest AI trends (GenAI, Agentic AI) .

Docker Error analysis for SW and ML algorithms.

Data-centric mindset to do EDAs, curate data Business acumen

Practical experience with text and image processing.

Computer

Vision, NLP, LLMs, VLMs

Good command of version control and python programming (esp. related to ML and data science)

📌 Data Scientist, Machine Learning Operations (Coimbatore)
🏢 Blackstraw Technologies
📍 Coimbatore