Data Scientist (3-5 years)

3 years

0 Lacs

Posted:5 days ago| Platform: SimplyHired logo

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Job Description

Job description

Key Responsibilities:

  • Design and develop ML, NLP, and GenAI models to solve real-world business problems.
  • Build, train, and fine-tune AI models using Python and leading ML frameworks.
  • Leverage Azure and GCP AI/ML services for scalable and production-ready deployment.
  • Develop and integrate APIs for real-time model inference and intelligent decision-making.
  • Handle large-scale datasets to extract insights and drive data-informed strategies.
  • Work collaboratively with Data Engineers, Software Developers, and Product Teams to integrate AI solutions into existing products and platforms.
  • Implement and maintain CI/CD pipelines for model development and deployment automation.
  • Follow Agile methodologies and adhere to software engineering best practices.
  • Stay current with AI/ML innovations, including LLMs and GenAI advancements, and incorporate them into ongoing projects.
  • Lead research initiatives and contribute to innovative solution development.
  • Provide mentorship to junior team members and ensure knowledge sharing.
  • Continuously monitor and optimize models for performance and scalability in production.

Required Skills & Qualifications:

  • Proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-learn.
  • In-depth understanding of NLP techniques, such as transformers, embeddings, and text analytics.
  • Proven expertise in Generative AI models (e.g., GPT, BERT, LLMs).
  • Strong experience with Azure AI/ML services (Azure ML, Cognitive Services, Databricks).
  • Hands-on experience with GCP AI/ML tools such as Vertex AI, BigQuery ML, and TensorFlow on GCP.
  • Proficient in building and integrating REST APIs for ML model inference.
  • Familiarity with CI/CD practices tailored for ML environments.
  • Strong grasp of software engineering principles (version control, modularity, testing).
  • Experience working in Agile development environments.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Solid background in statistical analysis, data mining, and data visualization.

Preferred Qualifications:

  • Experience with MLOps and end-to-end model lifecycle automation.
  • Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
  • Familiarity with big data processing frameworks such as Apache Spark and Hadoop.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Exposure to Graph Neural Networks (GNNs) and recommendation engines.
  • Understanding of AutoML frameworks and advanced hyperparameter tuning techniques.

Job Type: Contractual / Temporary

Pay: ₹700.00 - ₹900.00 per hour

Schedule:

  • Day shift

Experience:

  • Python : 3 years (Required)
  • TensorFlow: 3 years (Required)
  • PyTorch: 3 years (Required)
  • Scikit-learn: 3 years (Required)

Work Location: In person

Job Type: Contractual / Temporary

Pay: ₹500.00 - ₹700.00 per hour

Benefits:

  • Health insurance
  • Provident Fund

Schedule:

  • Day shift
  • Monday to Friday
  • Weekend availability

Supplemental Pay:

  • Performance bonus

Work Location: In person

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