Role : Senior Associate – Data Science & Machine Learning
Experience : 5 to 8 Years
Work Mode : Hybrid (3 days office per week)
Location : Gurugram (GGN) / Bengaluru (BEN)
Notice Period : Immediate to 2 weeks ONLY
Employment Type : Full-Time
About the Role
We are seeking an experienced Data Science & Machine Learning Engineer who can design, build, and deploy advanced ML and AI-driven solutions. This role demands deep technical expertise in ML algorithms, deep learning architectures, LLMs, and model operationalization on cloud platforms.
Key Responsibilities
- Build predictive models using classification, regression, clustering, and time-series techniques.
- Perform feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
- Build deep learning models using PyTorch or TensorFlow (CNNs, RNNs, transformers).
- Develop GenAI applications using embeddings, LLMs, prompt engineering, RAG pipelines, LangChain, LlamaIndex, HuggingFace models.
- Design and implement end-to-end ML pipelines from ingestion to deployment.
- Build scalable data pipelines and work with cloud-based ML platforms (AWS / GCP / Azure ML).
- Deploy, monitor, and maintain ML models using MLOps tools and CI / CD workflows.
- Work closely with product and engineering teams to integrate ML solutions.
Must-Have Skills
Strong fundamentals : Statistics, Probability, Linear Algebra, OptimizationMachine Learning :Classification, Regression, ClusteringModel evaluation (AUC, F1, Recall, ROC curves)Cross-validation, bias-variance trade-offDeep Learning :CNNs, RNNs, TransformersHands-on PyTorch / TensorFlowGenAI & NLP :LLMs (GPT, LLaMA, Claude, etc.)Embeddings, RAG, vector databasesPrompt engineering, model fine-tuningProgramming :Python (NumPy, Pandas, Scikit-learn)PyTorch / TensorFlowSQLMLOps :CI / CDModel deployment & monitoringLifecycle managementVersion control (Git) and cloud ML platforms (AWS / GCP / Azure)Good to Have
Experience with Hugging Face modelsKnowledge of Docker / KubernetesExposure to reinforcement learningExperience with A / B testing or experimentation frameworksRequired Candidate Information
(For screening – mandatory)
Total ExperienceRelevant DS / ML ExperienceCurrent CTCExpected CTCNotice Period ( Immediate – 2 weeks only )Current LocationPreferred LocationProfile URLHow to Apply
Send your updated CV to :
📩 Vijay.S@xebia.com