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Senior Associate – Data Science & Machine Learning

Senior Associate – Data Science & Machine Learning

Publicis SapientBengaluru, Karnataka, India
3 days ago
Job description

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, Optimization
  • Machine Learning :
  • Classification, Regression, Clustering
  • Model evaluation (AUC, F1, Recall, ROC curves)
  • Cross-validation, bias-variance trade-off
  • Deep Learning :
  • CNNs, RNNs, Transformers
  • Hands-on PyTorch / TensorFlow
  • GenAI & NLP :
  • LLMs (GPT, LLaMA, Claude, etc.)
  • Embeddings, RAG, vector databases
  • Prompt engineering, model fine-tuning
  • Programming :
  • Python (NumPy, Pandas, Scikit-learn)
  • PyTorch / TensorFlow
  • SQL
  • MLOps :
  • CI / CD
  • Model deployment & monitoring
  • Lifecycle management
  • Version control (Git) and cloud ML platforms (AWS / GCP / Azure)

    • Good to Have

  • Experience with Hugging Face models
  • Knowledge of Docker / Kubernetes
  • Exposure to reinforcement learning
  • Experience with A / B testing or experimentation frameworks

    • Required Candidate Information

    (For screening – mandatory)

  • Total Experience
  • Relevant DS / ML Experience
  • Current CTC
  • Expected CTC
  • Notice Period (Immediate – 2 weeks only)
  • Current Location
  • Preferred Location
  • LinkedIn Profile URL

    • How to Apply

    Send your updated CV to :

    Vijay.S@xebia.com

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    Senior Data Learning • Bengaluru, Karnataka, India