Senior AI/ML Engineer
Flipped Org
₹1,200,000 – ₹2,000,000 / year 1 opening Kolkata~West Bengal~IndiaOnsite08 May 2026
Required Skills
pythonnumpypandasscikit-learntensorflowpytorchpattern recognitionneural networkscomputer sciencealgorithmsstatisticsmachine learningnlpsqllangchainllamaindexhaystackpineconemilvusweaviatechromadbfaisshugging face transformersaws sagemakerazure ai studiogoogle vertex aiapache sparkdatabricks
Job Description
Experience: 3-8 yrs
Salary: 12- 20 LPA
Highest Qualification Required:
Bachelor’s or Master’s degree in Computer Science, Data Science,Mathematics, or a related field.
Must have:
• Mastery of Python and strong familiarity with libraries such as NumPy, Pandas,and Scikit-learn.
• Extensive hands-on experience with TensorFlow (preferred) or PyTorch(Experience with both is a strong plus).
• Strong knowledge of Pattern Recognition and Neural Networks
• Solid foundation in Computer Science and Algorithms
• Proficiency in Statistics and machine learning concepts
• Experience in deploying machine learning models in production environments
• Strong understanding of NLP techniques (Tokenization, Embeddings,Transformers, Attention Mechanisms).
• Proficiency in SQL and experience handling large datasets.
Good to have:
• GenAI Stack: Experience with frameworks like LangChain, LlamaIndex, orHaystack.
• Vector Databases: Hands-on experience with vector stores such as Pinecone,Milvus, Weaviate, ChromaDB or FAISS.
• Model Tuning: Proven track record of fine-tuning open-source models (e.g.,Hugging Face transformers) on custom datasets.
• Cloud AI: Experience with AWS SageMaker, Azure AI Studio, or GoogleVertex AI.
• Big Data: Experience handling large-scale datasets using Apache Spark orDatabricks.
Soft Skills & Competencies:
• Problem Solver: Ability to break down ambiguous problems into solvablealgorithmic components.
• Continuous Learner: The AI landscape changes weekly; you must demonstratea hunger to keep up with the latest papers and techniques.• Communication: Ability to explain complex model behaviors to non-technicalstakeholders.