Job Title : Software Engineer - AI/ML/GenAI

Location : Chennai - Onsite - Hybrid

Notice Period : Joining within 30 Days only

Job Summary :

We are seeking a highly qualified and innovative Data Scientist to join our ambitious Product & Program Definition Transformation team. In this role, you will be central to developing the intelligent systems that power our move to a future-state Product Lifecycle Management (PLM) environment. You will apply your expertise to solve complex, real-world problems at the heart of our engineering and business processes. Your work will directly contribute to the development of our Intelligent Transition Model and a suite of AI-Powered Accelerators designed to provide actionable insights from massive, diverse datasets.

Key Responsibilities :

- Design and build scalable AI/ML models to automate the decomposition and transformation of legacy artifacts (e.g., Program Direction Letters, Order Guides, Bills of Materials) into a future-state data model.

- Develop analytics prototypes and accelerators to generate actionable insights for all project workstreams, including Value Stream Mapping (VSM) generation, relationship analysis, and complexity metrics.

- Partner with business and architecture teams to translate complex and often ambiguous business logic into robust, scalable, and automated solutions.

Required Skills and Experience :

- 3+ years of hands-on experience in applying advanced machine learning and AI techniques.

- AI & Machine Learning Expertise :

- Generative AI & LLMs : Demonstrated experience applying Generative AI and Large Language Models (LLMs) to solve complex business problems. This includes expertise in advanced prompt engineering, model fine-tuning, and using LLM APIs to automate the decomposition of unstructured text and business artifacts.

- Natural Language Processing (NLP) & Text Mining : Proven ability to apply NLP techniques to extract structured information, rules, and relationships from unstructured or semi-structured documents.

- Deep Learning : Proficiency in deep learning principles, including the design and implementation of neural networks and an understanding of transformer architectures.

- Classical Machine Learning : Strong foundation in applying traditional ML algorithms such as clustering, classification, decision trees, random forests, and support vector machines.

- Data & Programming Skills :

- Programming Languages : Strong proficiency in Python, including libraries like Pandas and NumPy.

- Data Processing and Wrangling : Extensive experience processing and wrangling both structured (e.g., BOMs, tabular data) and unstructured data from various formats and sources.

- Mindset & Problem-Solving :

- First Principles & Systems Thinking : A proven ability to deconstruct complex legacy processes using a first-principles approach to understand root causes.

- Inquisitive and Tenacious Mindset : Excellent problem-solving skills with a proven ability to challenge existing practices and uncover the logic behind established processes.

- Collaborative & Outcome-Oriented : A strong team player driven to build practical, scalable solutions that deliver tangible business value.

Preferred Skills and Experience :

- Big Data & Cloud Technologies : Experience with Google Cloud Platform (GCP) is highly preferred, especially with services such as Vertex AI, BigQuery, Cloud Storage, DBT, and NoSQL databases.

- Programming Languages : Experience with other analytical languages such as R, MATLAB, or SAS.

- Familiarity with the Hadoop Ecosystem.

Education :

- Required : Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or a related field.