Country/Region:
IN
Requisition ID:
36165
Work Model:
Position Type:
Salary Range:
Location:
INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI
Title: Data Scientist
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.