AI & Data Engineer (L3)

Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com Job Title: AI & Data Engineer (L3) Position: Lead Analyst Experience: 6 to 8 Yrs Category: IT Infrastructure Main location: Hyderabad / Bangalore Position ID: J0326-2214 Employment Type: Full Time Qualification: Bachelor’s degree in computer science or related field or higher with minimum 3 years of relevant experience. Role Overview: We are looking for a highly skilled AI & Data Engineer (L3) who can design, build, and deploy scalable data pipelines and AI/ML solutions. The ideal candidate will have strong experience in data engineering, machine learning, and cloud platforms, with the ability to translate business requirements into robust, production-grade AI solutions. Key Responsibilities: Data Engineering & Pipeline Development: - Design, build, and optimize ETL/ELT pipelines using tools like Azure Data Factory, Databricks, or Spark - Develop and manage data ingestion frameworks for structured and unstructured data - Ensure data quality, governance, and reliability across pipelines AI / ML Solution Development: - Build, train, and deploy machine learning and AI models - Work with Generative AI (LLMs, RAG, prompt engineering) - Perform data preprocessing, feature engineering, and model evaluation MLOps & Deployment: - Deploy models using CI/CD pipelines and MLOps practices - Work with MLflow, Docker, Kubernetes, Azure ML - Develop REST APIs to expose ML models Cloud & Platform Engineering: - Work on Azure/AWS/GCP platforms - Optimize performance and cost Collaboration & Delivery: - Collaborate with cross-functional teams - Translate business requirements into technical solutions - Participate in Agile ceremonies Primary Skills: - Python, SQL - Azure Data Factory / Databricks / Spark - Scikit-learn / TensorFlow / PyTorch - Pandas, NumPy - Azure/AWS/GCP - MLflow, CI/CD - REST APIs - SQL/NoSQL databases Secondary Skills: - LLMs, LangChain, RAG - Kafka, Delta Lake - Power BI/Tableau - Docker, Kubernetes - GitHub Actions / Azure DevOps Qualifications: - Bachelor's or Master's degree in relevant field Experience Requirements: - 5–8 years experience - 3+ years in Data Engineering / AI/ML roles - Agile experience Soft Skills: - Strong problem-solving - Good communication - Team collaboration Ideal Candidate Profile: - Strong hands-on engineer - Experience in data pipelines and ML deployment - Ability to bridge data engineering and AI Skills: - Pandas - 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. Come join our team—one of the largest IT and business consulting services firms in the world.