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Data Scientist-Artificial Intelligence
IBM
Bengaluru
3-5 years
Today
$18.1K–27.7K/yr
Full time
Onsite
Skills Required Hugging Face
AI
Machine Learning
Python
R
TensorFlow
PyTorch
Keras
Scikit-learn
Pandas
Matplotlib big data
COBOL
Java cloud platforms
Description IBM Consulting is hiring an Associate Data Scientist to solve business problems using AI and data science tools. The role focuses on predictive modeling, data preparation, client collaboration, and proof-of-concept development.
Company: IBM
Role: Data Scientist-Artificial Intelligence
Location: Bangalore, Karnataka, India
Qualification
- Bachelor's Degree
- Master's Degree
Responsibilities
- Prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders
- Implement and validate predictive and prescriptive models
- Create and maintain statistical models with a focus on big data and machine learning
- Write programs to cleanse and integrate data in an efficient and reusable manner
- Work in an Agile, collaborative environment with scientists, engineers, consultants, and database administrators
- Communicate with internal and external clients to understand business needs and define appropriate modelling techniques
- Evaluate modelling results and communicate results to technical and non-technical audiences
- Develop POCs to validate and showcase the feasibility and effectiveness of proposed AI solutions
- Collaborate with development teams to implement and iterate on POCs
- Showcase the ability of Gen AI code assistant to refactor, rewrite,
and document code from COBOL to JAVA through rapid prototypes or PoC
Additional Responsibilities
- Document solution architectures, design decisions, implementation details, and lessons learned
- Create technical documentation, white papers, and best practice guides
Nice To Have
- Experience and working knowledge in COBOL and JAVA would be preferred
- Familiarity with cloud platforms
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face
- Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc.
More Skills IBM tools, AI application suites, predictive models, prescriptive models, statistical models, data cleansing, data integration, Agile, communication with clients, model evaluation, Proof of Concept development, Gen AI code assistant, solution architecture documentation, technical documentation, white papers, best practice guides
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