Data Scientist-Artificial Intelligence - Fresher

Overview

About the job:

Key responsibilities:

An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the WatsonX, AWS Sagemaker, and Azure OpenAI platforms to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.

We are seeking an experienced and innovative AI Data Scientist with a specialization in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like GitHub Copilot and Amazon Code Whisperer is desirable.

Day-to-Day Duties:
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA, through rapid prototypes/ PoC.
- Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge-sharing initiatives and mentor new team members.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.

Who can apply:

Only those candidates can apply who:

Salary:

Competitive salary

Experience:

0 year(s)

Deadline:

2025-10-08 23:59:59

Skills required:

Java, Python, Data Science, Natural Language Processing (NLP), Artificial intelligence and LLM evaluation

Other Requirements:

A. Required education: Bachelor's Degree

B. Preferred education: Master's Degree

C. Required technical and professional expertise

- New WatsonX Assistant with phone integration, WatsonX Assistant Extensions, Requirement Analysis, Solution Design, and CDD Creation (nice to have)

- Experience and working knowledge in COBOL & JAVA would be preferred

- Having experience in code generation, code matching & code translation, and leveraging LLM capabilities would be a big plus (e.g., Amazon CodeWhisperer, GitHub Copilot, etc.).

- Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.

- Demonstrate a growth mindset to understand clients' business processes and challenges.

- Experience in Python and PySpark will be an added advantage.

D. Preferred technical and professional experience

- Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies.

- Experience in natural language processing (NLP) and text analytics is highly desirable.

- Understanding of machine learning and deep learning algorithms.

- Strong track record in scientific publications or open-source communities

- Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

About Company:

International Business Machines (IBM), founded in 1911 and headquartered in Armonk, New York, is a global technology company specializing in AI, cloud computing, and enterprise solutions. With a revenue of $60 billion in 2023, IBM continues to drive innovation through its AI platform Watson, quantum computing research, and hybrid cloud solutions. In India, IBM has a strong presence, operating multiple research centers and collaborating with businesses on digital transformation projects. The company is also focused on cybersecurity, blockchain, and automation, making it a key player in the global IT ecosystem. IBM’s legacy of technological advancements and strong R&D investments ensures its continued relevance in the rapidly evolving digital landscape.