Automation & Tooling L3

Position Description:

Responsibilities
Direct Responsibilities

. Collaborate with business stakeholders to understand requirements and identify opportunities for AIdriven solutions.
. Take ownership of prototyping and productizing AI use cases using our inhouse LLMs.
. Design develop and deploy RetrievalAugmented 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 uptodate on developments in GenAI NLP and datascience 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 (Python3.x).
. Experience with datascience tools: Jupyter Notebooks Pandas NumPy Scikitlearn.
. Database knowledge (relational and NoSQL).
. Understanding of NLP fundamentals; textprocessing using HuggingFace Transformers spaCy.
. Foundational knowledge of LLMs (prompt engineering finetuning basics) and their banking usecases.
. Understanding of vector databases (FAISS Chroma) embedding models indexing and connecting retrieval to LLMs.
. Knowledge of dataengineering principles data warehousing data governance and data quality.
. Experience with data cleaning preprocessing feature engineering handling missing data normalisation and transformation.
. Familiarity with datastorage solutions (data lakes warehouses cloudbased storage).
. Knowledge of CI/CD pipelines and tools (Jenkins GitLab CI/CD).
. Exposure to deploying models as REST APIs; basic containerisation (Docker).

Specific Qualifications:

. Selfmotivated and able to work independently with minimal supervision.
. Willing to crosstrain and upskill in datascience and related technologies.
. Quick learner; adaptable to new technologies and workflows.
. Passionate about staying uptodate with industry trends and advancements in AI and NLP.
. Strong communicator and team player; able to collaborate with crossfunctional 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 lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.

Employment Type : Full-Time
Experience: years
Vacancy: 1