Job Title: Data Science and Machine Learning Senior Associate
Location: Chennai
Work Type: Hybrid
Overview:
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet
Position Description:
- Data Scientist, Product & Program Definition Transformation We are seeking highly qualified and innovative Data Scientists 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 PLM environment.
- You will apply your expertise to solve complex, real-world problems at the heart of our engineering and business processes, directly contributing to the development of our Intelligent Transition Model and a suite of AI-Powered Accelerators.
- Your primary responsibilities will include: Designing and building scalable AI/ML models to automate the decomposition and transformation of legacy artifacts (e.g., Program Direction Letters, Order Guides, BOMs) into the future-state data model.
- Developing analytics prototypes and accelerators that work on massive, diverse datasets to provide actionable insights for all project workstreams (e.g., VSM generation, relationship analysis, complexity metrics).
- Partnering with business and architecture teams to translate complex, often ambiguous, business logic into robust, automated solutions.
Required Skills and Experience:
- AI & Machine Learning Expertise: Generative AI & LLMs: Demonstrated, hands-on experience in applying Generative AI and Large Language Models to solve complex business problems.
- This includes expertise in advanced prompt engineering, model fine-tuning, and leveraging LLM APIs to automate the decomposition of complex business artifacts and unstructured text.
- Natural Language Processing (NLP) & Text Mining: Proven ability to apply NLP and text mining techniques to extract structured information, rules, and relationships from unstructured or semi-structured documents (e.g., requirement documents, "author notes," technical specifications).
- 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:
- Data Processing and Wrangling: Extensive hands-on experience processing and wrangling both structured (e.g., BOMs, tabular data) and unstructured data from various formats, sizes, and storage mechanisms.
- Programming Languages: Strong proficiency in Python (including libraries like Pandas, NumPy) and flexibility to use other requisite languages and analytical tools as needed for the problem at hand.
- Big Data & Cloud Technologies (GCP): Experience working with large-scale datasets and cloud-based AI/ML platforms is essential.
- Proficiency with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and Cloud Storage is highly preferred.
- Mindset & Problem-Solving Approach: First Principles & Systems
- Thinking: A proven ability to deconstruct complex legacy processes using a first-principles approach, focusing on understanding the root cause of inefficiencies rather than just treating symptoms.
- Inquisitive and Tenacious Mindset: Excellent problem-solving skills, with a proven ability to challenge existing practices and ask "why" to uncover the logic behind established processes.
- Collaborative & Outcome-Oriented: A strong team player who can work effectively with cross-functional teams and is driven to build practical, scalable solutions that deliver tangible business value.
Skills Required:
- LLM, GenAI, Machine Learning
Skills Preferred:
- Python, Big Query, Google Cloud Platform
Experience Required:
- 3+ years of hands-on experience in applying advanced machine learning and AI techniques, with demonstrated proficiency in the following areas:
- Generative AI (GenAI) and Large Language Models (LLMs): Proven expertise in leveraging GenAI, with hands-on experience in prompt engineering, model fine-tuning, and using LLM APIs for complex data processing, text mining, and automation.
- Deep Learning: Proficiency in deep learning principles, including the design and implementation of neural networks, reinforcement learning, and an understanding of transformer architectures.
- Classical Machine Learning: Strong foundation in traditional ML algorithms such as clustering, classification, decision trees, random forests, and support vector machines for predictive modeling and data analysis.
Experience Preferred:
- 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem
Education Required:
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
