Senior Data Scientist

2 weeks ago

Gurgaon, Haryana, India Incedo Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role Description

  • Build, train, and deploy machine learning and deep learning models using TensorFlow (or PyTorch) and Scikit-learn.
  • Develop GenAI/LLM applications including conversational agents, summarization, RAG pipelines, and document intelligence.
  • Perform data preprocessing, wrangling, and feature engineering with Pandas and NumPy.
  • Partner with data engineering teams to design scalable data and model pipelines for training and inference.
  • Lead model evaluation, optimization, monitoring, and governance to ensure robustness, fairness, and scalability.
  • Provide technical mentorship to the data science team and promote coding excellence and reproducibility.
  • Present analytical findings and AI strategies to non-technical stakeholders in a clear and actionable manner.

Technical Skills

Skills & Competencies

Must-Have Technical Skills

  • Expert in Python programming (advanced OOP, data structures, API design, testing).
  • Proficiency with TensorFlow and Scikit-learn for ML/DL model development.
  • Strong experience in data manipulation and analysis using Pandas and NumPy.
  • Practical exposure to LLMs and GenAI frameworks(Hugging Face Transformers, LangChain, LlamaIndex).
  • Solid foundation in statistical and ML methods: regression, time-series, hypothesis testing, anomaly detection.

Additional Technical Skills (Nice-to-Have)

  • Familiarity with PyTorch for advanced deep learning and LLM fine-tuning.
  • Experience with MLOps practices (MLflow, Docker, Kubernetes, CI/CD).
  • Exposure to vector databases (FAISS, Pinecone, Weaviate, Milvus).
  • Understanding of cloud ecosystems (AWS, Azure, GCP)
  • Big data frameworks (Spark, Hadoop).
  • Knowledge of explainability and fairness frameworks (SHAP, LIME).

Soft Skills

  • Excellent communication to bridge technical and business teams.
  • Proven leadership and mentoring experience.
  • Adaptive mindset with openness to new AI/ML advancements.
  • Strong ability to balance innovation with timely execution.

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