Automation & Tooling L3

Position Description:

Responsibilities
Direct Responsibilities

. Collaborate with business stakeholders to understand requirements and identify opportunities for AI‑driven solutions.
. Take ownership of prototyping and productizing AI use cases using our in‑house LLMs.
. Design, develop and deploy Retrieval‑Augmented Generation (RAG) pipelines to improve document search, customer support, compliance, or similar workflows.
. Implement and evaluate classification systems for use cases such as email classification, transaction categorization, risk scoring, etc.
. Analyze and prepare data, perform text extraction, feature engineering and annotation work as required.
. Work with engineering teams to integrate solutions into production environments.
. Document models, workflows and best practices for future projects.
. Stay up‑to‑date on developments in GenAI, NLP and data‑science methods.

Contributing Responsibilities

. Contribute towards innovation; suggest new practices to be investigated.
. Contribute towards initiatives to improve processes and delivery.

Technical & Behavioral Competencies

. Proficiency in Python programming (Python 3.x).
. Experience with data‑science tools: Jupyter Notebooks, Pandas, NumPy, Scikit‑learn.
. Database knowledge (relational and NoSQL).
. Understanding of NLP fundamentals; text‑processing using HuggingFace, Transformers, spaCy.
. Foundational knowledge of LLMs (prompt engineering, fine‑tuning basics) and their banking use‑cases.
. Understanding of vector databases (FAISS, Chroma), embedding models, indexing and connecting retrieval to LLMs.
. Knowledge of data‑engineering principles, data warehousing, data governance and data quality.
. Experience with data cleaning, preprocessing, feature engineering, handling missing data, normalisation and transformation.
. Familiarity with data‑storage solutions (data lakes, warehouses, cloud‑based storage).
. Knowledge of CI/CD pipelines and tools (Jenkins, GitLab CI/CD).
. Exposure to deploying models as REST APIs; basic containerisation (Docker).

Specific Qualifications:

. Self‑motivated and able to work independently with minimal supervision.
. Willing to cross‑train and up‑skill in data‑science and related technologies.
. Quick learner; adaptable to new technologies and workflows.
. Passionate about staying up‑to‑date with industry trends and advancements in AI and NLP.
. Strong communicator and team player; able to collaborate with cross‑functional teams and stakeholders.

Skills Referential (Required knowledge, skills and abilities)
Technical Skills: (as listed above under Technical Skills)
Behavioural Skills: (as listed above under Behavioural Skills)
Education Level: B.E / M.E
Location: Mumbai or Bengaluru

Skills:

• Ansible
• Artificial Intelligence
• Python

What you can expect from us:

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.