Sr. Data Scientist

22 hours ago


India APAC Maharashtra Pune Pune office Standard Hybrid NewVision Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Position Summary:

We're looking for a Data Scientist to join our analytics and AI team to design, build, and deploy machine learning and deep learning solutions for client engagements. You'll work on end-to-end model development—data preparation, model design using PyTorch or TensorFlow, scaling with distributed engines like Spark, and production hand-off—while partnering with engineers, consultants, and business stakeholders

 Responsibilities:

  • Design, develop, and validate ML/DL models using PyTorch or TensorFlow for real-world business problems.
  • Implement production-ready code in Python and collaborate with engineering teams to deploy models.
  • Process and transform large datasets using distributed computing frameworks (e.g., Spark/PySpark).
  • Lead model training, hyperparameter tuning, experiment tracking, and performance evaluation.
  • Build reusable pipelines and components for feature engineering, training, and inference.
  • Translate business use cases into technical solutions; present findings and model implications to non-technical stakeholders.
  • Ensure model reliability, monitoring, and compliance with governance and security requirements.
  • Mentor junior team members and contribute to best practices, code reviews, and architecture decisions.

Required Skills & Experience:

  •  3–5 years of hands-on experience building ML or deep learning models using PyTorch or TensorFlow.
  •  Strong Python programming skills with clean, well-documented, version-controlled code.
  •  Experience working with distributed computing engines such as Spark for large-scale data processing.
  •  Solid grasp of core ML concepts: supervised/unsupervised learning, neural network architectures, regularization, evaluation metrics, and model validation.
  •  Practical experience with model training workflows, hyperparameter tuning tools, and ML tooling (e.g., MLflow, TensorBoard).
  •  Good communication skills and experience working in cross-functional teams.

Preferred qualifications (nice-to-have)

  • Experience with graph databases and graph ML (e.g., Neo4j, Amazon Neptune).
  • Experience in cybersecurity use cases (threat detection, anomaly detection, fraud analytics).
  • Familiarity with PyTorch Geometric or other graph neural network libraries.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization/orchestration (Docker, Kubernetes).
  • Exposure to MLOps practices: CI/CD for models, monitoring, automated retraining.
  • Advanced degree (MS/PhD) in Computer Science, Statistics, Data Science, or related field is a plus.

New Vision is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees


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