Required Skills :
Experience in AI/ML engineering, with at least 5+ years delivering Generative AI models into production.
Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, or related field from a top-tier institution IITs/NITs/BITs etc.
Robust applied programming skills in Python, SQL, R and experience with data science libraries such as NumPy, Pandas, MatLab, scikit-learn.
Proven experience with deep learning frameworks: PyTorch, TensorFlow, Keras, MXNet, Caffe.
Familiarity with NLP and ML libraries: Transformers, SparkNLP, Gensim, SpaCy, NLTK, Hugging Face.
Experience building and fine-tuning LLMs and integrating them with orchestration frameworks (LangChain, LlamaIndex).
Expertise with vector databases (Pinecone, FAISS, Weaviate, Milvus)



and knowledge of embedding retrieval patterns.
Cloud-native ML experience (AWS Sagemaker, GCP Vertex AI, Azure ML) and containerization (Docker, Kubernetes).
Applied knowledge of classical ML algorithms (SVM, Decision Trees, Random Forests, regression, clustering) alongside up-to-date DL/GenAI approaches.
Robust knowledge of CI/CD for ML, model observability (MLflow, Weights & Biases, LangSmith), and governance frameworks.
Excellent problem-solving skills, communication, and ability to lead technical teams.

📌 Senior Artificial Intelligence Engineer Bengaluru
🏢 SKILLVENTORY
📍 Bengaluru