Senior Associate – Data Science

2 weeks ago


bangalore, India Publicis Sapient Full time

Role: Senior Associate – Data Science & Machine LearningExperience: 5 to 8 YearsWork Mode: Hybrid (3 days office per week)Location: Gurugram (GGN)/Bengaluru (BEN) Notice Period: Immediate to 2 weeks ONLY Employment Type: Full-TimeAbout the RoleWe 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 ResponsibilitiesBuild 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 SkillsStrong 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 HaveExperience 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 LocationLinkedIn Profile URLHow to ApplySend your updated CV to: 📩 Vijay.S@xebia.com



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