Data Science Lead

Celebal Technologies · Mumbai

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Last observed by our collector: 8 October 2026 at 11:14 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: data-science-lead

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Collected minimum qualification: B.Tech/BCA or any GraduationAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

We are looking for a highly skilled Senior Data Scientist with deep expertise in Machine Learning (ML), Natural Language Processing (NLP), and Generative AI (GenAI). The ideal candidate should have strong experience with AWS cloud services and hands-on coding proficiency in Python, with an emphasis on parallel programming, asynchronous programming, and optimization techniques. You will be working on cutting-edge data science solutions while driving innovation and building scalable AI-driven applications across various domains. Responsibilities: Lead and implement advanced Machine Learning models for real-world applications, including predictive analytics, NLP, and GenAI projects. Work with AWS services such as Bedrock, OpenSearch, Textract, Translate, Transcribe, Polly, and Amazon Elastic Kubernetes Service (EKS) to deploy and scale AI models and solutions. Design, develop, and optimize end-to-end data pipelines for processing structured and unstructured data in large-scale environments. Apply parallel and asynchronous programming concepts to develop high-performance machine learning models and applications. Implement and optimize data structures and algorithms (DSA) in real-world applications to ensure high efficiency and scalability. Collaborate with cross-functional teams to develop AI-driven solutions that integrate with existing products and business processes. Utilize object-oriented programming (OOP) principles to write maintainable, modular, and reusable code. Lead and mentor junior data scientists and developers, while contributing to architectural decisions and code reviews. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Qualifications: B.Tech/BCA or any Graduation Experience with MLOps tools and practices, integrating CI/CD pipelines with ML workflows. Knowledge of Docker and container orchestration with Kubernetes for scalable deployment. Experience working with big data frameworks like Apache Spark or Databricks. Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face models.

Collected minimum qualification

B.Tech/BCA or any Graduation

Collected preferred qualification

Experience with MLOps tools and practices, integrating CI/CD pipelines with ML workflows. | Knowledge of Docker and container orchestration with Kubernetes for scalable deployment. | Experience working with big data frameworks like Apache Spark or Databricks. | Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face models.

Collected experience requirement

7+ years