Job Description

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: ML Engineer

Position: Lead Analyst

Experience: 7 - 12 Years

Category: Software Development/ Engineering

Shift: General (5 Days work from Office)

Main location: India, Tamil Nadu, Chennai

Position ID: J0725-0861

Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: We are seeking a highly experienced and innovative Senior AI Engineer to join our rapidly expanding AI/ML team. With 7+ years of hands-on experience, you will be instrumental in the end-to-end lifecycle of AI/ML solutions - from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. You will work on challenging problems, collaborate closely with data scientists, product managers, and software engineers, and drive the adoption of cutting-edge AI technologies across our platforms.

Your future duties and responsibilities

Model Development & Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications. Production Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments. Data Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference. Research & Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas. Performance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization. Collaboration & Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders. Code Quality & Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle. Monitoring & Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.

Required qualifications to be successful in this role

Must-Have Skills:

7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines). Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases. Experience with data preprocessing, feature engineering, and handling large datasets.

Good-to-Have Skills:

Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.


CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

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.