Data Scientist

Location The successful candidate shall be placed atPuneLocation. It is a Full-time Job, “No” remote work.Data Scientist (GenAI/ML,Python, FastAPI/Flask)willing to work on a 6 to12-months contract may apply.Experience Candidates should have experience between 3-6 yearsRole DescriptionAbout the Role We are looking for a skilled and motivatedData Scientistwith strong experience inPython ,Machine Learning , andGenerative AI , along with hands-on exposure toFlaskandFastAPIfor building and deploying scalable data-driven applications. The ideal candidate will work closely with cross-functional teams to design, develop, and deploy intelligent solutions that drive business value.Key Responsibilities Design, develop, and deploymachine learning and generative AI modelsfor real-world business problems. Build and exposeML/AI modelsusingRESTful APIswithFlaskandFastAPI . Performdata analysis, feature engineering, model training, validation, and optimization . Work onend-to-end ML pipelines , from data ingestion to model deployment and monitoring. Collaborate with product managers, engineers, and stakeholders to translate business requirements into technical solutions. Optimize model performance, scalability, and reliability in production environments. Stay updated with the latest advancements inML, Generative AI, and AI frameworks . Document models, APIs, workflows, and best practices.Required Skills & Qualifications 3–6 years of hands-on experience as aData Scientistor similar role. Strong proficiency inPython . Solid experience withMachine Learning algorithms(supervised, unsupervised, and deep learning). Practical exposure toGenerative AI(LLMs, embeddings, prompt engineering, or fine-tuning). Experience buildingAPIsusingFlaskand/orFastAPI . Strong understanding of data preprocessing, feature engineering, and model evaluation techniques . Experience with commonML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc .). Good understanding of software engineering best practices and version control (Git).Nice to Have Experience withcloud platforms (AWS, Azure, or GCP). Knowledge ofMLOps tools and CI/CD pipelines . Exposure to vector databases, RAG architectures, or AI agents. Familiarity withDocker/Kubernetes . Strong communication and problem-solving skills.

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