Generative AI Engineer

Hiring: Senior Data Scientist / GenAI Engineer Experience:5–12 Years Domain:Data Science | GenAI | AI/ML Employment Type:Full-time Role Overview We are looking for an experiencedData Science & GenAI professionalwith strong expertise inAI/ML, Large Language Models (LLMs), RAG architectures, and Cloud platforms . The ideal candidate will have a strong analytical mindset, hands-on model development experience, and the ability to translate business problems into scalable AI solutions. ✅ Mandatory Skills Data Science & AI/ML Generative AI (GenAI) Python RAG (Retrieval Augmented Generation) NLP / LLMs Cloud Platforms:Azure / AWS / GCP (any one) Vector Databases Model Training, Inference & Deployment ➕ Secondary / Good-to-Have Skills (Any) Machine Learning & Deep Learning ChatGPT, LangChain, Prompt Engineering Vector Stores, LLaMA, Transformers Computer Vision, OCR Regression, Classification, Forecasting Hyperparameter Tuning MLOps & Model Monitoring Key Responsibilities Design, develop, and deployAI/ML and GenAI solutionsfor real-world business problems Build and optimizeRAG-based applicationsusing LLMs and vector databases Work withstructured and unstructured datafor NLP, NLG, and LLM use cases Develop, train, fine-tune, and deploy ML/DL models at scale Collaborate with cross-functional teams in afast-paced agile environment Ensure best practices inmodel performance, scalability, and governance Technical Expertise Strong understanding of ML algorithms:GPTs, CNN, RNN, SVM, Naive Bayes, k-NN, Decision Forests Hands-on experience withTensorFlow, Keras, PyTorch, Pandas, NumPy(deep expertise in at least one) Experience withNLP, NLG, and LLMssuch asBERT, LLaMA, GPT, PaLM, BLOOM, LaMDA, DALL·E Proficiency inSQL & Python(Scala/Java/C++ is a plus) Experience withBig Data & Cloud AI services : AWS SageMaker, Azure Cognitive Services, Google Colab Hadoop, PySpark, Hive, AWS EMR Knowledge ofNoSQL & Vector Databases : MongoDB, Cassandra, HBase, etc. Exposure toBI tools : Tableau, Power BI Analytical & Soft Skills Strong foundation instatistics, algebra, and applied mathematics Excellent problem-solving and analytical thinking Strongbusiness acumenwith a data-driven mindset Excellent communication and presentation skills ✅ Ideal Candidate Data-oriented professional with end-to-end AI solution experience Comfortable working infast-paced, collaborative environments Passionate aboutGenAI, LLMs, and modern AI architectures Interested candidates can share their resume or reach out directly at Purbita.Mondal@ (You can add contact details, location, notice period, and compensation here.)

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