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Birlasoft Limited

Data Scientist

Birlasoft Limited Pune, Maharashtra, India

IT Services and IT Consulting · 10,001+ employees

Yesterday
data-scientist Principal (10+ yrs) Full-time India
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About the role

The Data Scientist will design and implement scalable data pipelines, machine learning models, and NLP systems while providing technical mentorship to the team. They will also collaborate with cross-functional stakeholders to deliver innovative, production-ready solutions using GenAI and deep learning frameworks.

What they look for

Python Deep Learning NLP TensorFlow Theano GenAI API Development Flask FastAPI Streamlit Data Pipelines Machine Learning AWS Azure GCP Spark

Requirements

Candidates must hold a Master's or Ph.D. in Computer Science or a related field with 10-15 years of total experience, including 7+ years in data science. Strong proficiency in Python, deep learning frameworks, NLP libraries, and API development is required, along with proven leadership experience.

Full description

Area(s) of responsibility

Key Responsibilities:

Technical Prowess:

  • Technical Architecture: Design and implement scalable data pipelines, machine learning models, and NLP systems.
  • Code Review and Mentoring: Provide guidance and mentorship to team members on code quality, best practices, and technical challenges.
  • Research and Innovation: Stay abreast of the latest advancements in deep learning, NLP, and GenAI, identifying opportunities for innovation and improvement.

Deep Learning and NLP Expertise:

  • Model Development: Build and optimize deep learning models using TensorFlow, Theano, or other relevant frameworks.
  • NLP Solutions: Develop and implement NLP solutions for tasks such as text classification, named entity recognition, sentiment analysis, and language generation.
  • GenAI Integration: Leverage GenAI tools to enhance existing models and develop innovative solutions for complex language-related problems.

Python and API Development:

  • Python Proficiency: Demonstrate strong programming skills in Python, including expertise in data manipulation, scientific computing libraries, and web frameworks.
  • API Design and Implementation: Develop RESTful APIs to integrate machine learning and NLP models into existing systems.
  • Streamlit: Utilize Streamlit for building interactive data applications and dashboards.

Communication and Collaboration:

  • Effective Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders.
  • Team Collaboration: Foster a collaborative environment within the team and effectively communicate with other departments.
  • Cross-Functional Collaboration: Work closely with product managers, engineers, and business analysts to understand requirements and deliver impactful solutions.

Qualifications:

  • Education: Master's or Ph.D. in Computer Science, Data Science, or a related field.
  • Experience:
  • Overall 10 – 15 years of experience with 7+ years of experience in data science or machine learning, with a proven track record of delivering production-ready solutions.
  • 2+ years of experience leading technical teams.
  • Strong expertise in Python, deep learning frameworks (TensorFlow, Theano), NLP libraries (spaCy, NLTK, Hugging Face), and GenAI tools.
  • Experience with API development (Flask, FastAPI) and Streamlit)

Preferred Skills:

  • Cloud Platforms: AWS, Azure, GCP
  • Big Data Technologies: Spark, Hadoop
  • MLOps: Experience with model deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines.

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