Data Scientist

2 weeks ago

Chennai Mumbai Pune, India UPS Supply Chain Solutions (UPS SCS) Full time ₹ 12,00,000 - ₹ 36,00,000 per year

As the Lead AI/ML Engineer/Data Scientist, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions.

Key Responsibilities:

  • Lead the design and development of machine learning models and AI solutions to solve business problems.

  • Select appropriate machine learning or deep learning models based on problem context and data availability.

  • Develop, train, test, and validate models using state-of-the-art methodologies and frameworks.
  • Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets.
  • Engineer features and performs exploratory data analysis to ensure data quality and model readiness.
  • Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow).
  • Implement models into production environments, ensuring robustness, scalability, and maintainability.
  • Develop and maintain CI/CD pipelines for seamless model integration and deployment.
  • Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics.
  • Document model architecture, development processes, and performance evaluations thoroughly.
  • Share insights and technical know-how with team members to foster a culture of continuous learning and improvement.

  • Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices.

  • Analyze large datasets to extract insights and improve model performance.

  • Ensure compliance with data privacy and security regulations in all AI/ML initiatives.

Qualifications:

  • Bachelors or masters degree in computer science, Data Science, Machine Learning, or a related field.
  • Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects.
  • Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

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