Machine learning lead

3 days ago

Pune, India Cybage Full time

System Analsyt -Data Scientist lead

Job Title: System Analyst Data Scientist Lead
Location: Pune Kalyani Nagar
Shift Timing: General Shift
Experience: 7-15 years (Minimum 2 years in a leadership/management role)

About Cybage:
Cybage Software is a technology consulting organization and the head office is in Pune; you will get an opportunity to be a part of highly skilled talent pool of more than 7000 employees. We have our operations hub in GNR and Hyderabad as well and we have also marked our presence in USA, UK, Japan, Germany, Ireland, Canada, Australia, and Singapore. We provide seamless services and dependable deliveries to our clients from diverse industry verticals such as Media and Advertising, Travel and Hospitality, Digital Retail, Healthcare and Life Sciences, Supply chain and logistics, and Technology.

Role Overview
We are looking for a dynamic and experienced System Analyst Data Scientist Lead to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value.

Skills required:

  • Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role.
  • Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG).
  • Experience in time series forecasting, statistical modeling, and predictive analytics.
  • Hands-on experience with Databricks, Azure ML stack, Python, and Django.
  • Solid understanding of end-to-end data science workflows, from data engineering to model deployment.
  • Ability to collaborate across diverse teams and communicate technical concepts clearly to stakeholders.

Responsibilities:

  • Build and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment.
  • Implement supervised, unsupervised, and deep learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Collaborate with data scientists and engineers to integrate ML models into production systems.
  • Use MLOps tools like MLflow or Kubeflow for CI/CD and model lifecycle management.
  • Monitor and optimize deployed models for performance and scalability.
  • Stay updated on ML advancements and contribute to innovation within the team.

Shift timings
General shift

Location
Pune-Kalyani Nagar

Its good to have:

  • 60% & above in any two of the following and 55% & above in the third

  • Secondary, Higher Secondary (or it s equivalent) and Graduation level (aggregate)

  • Strong Communication & interpersonal Skills.

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