Responsibilities
• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.
• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement
• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.
• Support ABB business units through consulting engagements.
• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems
• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.
• Evaluate the performance of machine learning models and fine-tune them for optimal results.
• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.
• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.
• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.
• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.
• Prepare clear and concise reports and documentation to communicate results and methodologies.
• Stay updated with the latest data science and machine learning trends and techniques.
• Familiarity with ML Model Deployment as REST APIs.
Background
• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution
• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.
• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.
• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks
• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow
• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis
• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.
• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.
• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions
• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.
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.