Full Stack Engineer
Position Description
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.
Job Types: Full-time, Permanent
Pay: ₹435,349.31 - ₹1,659,392.39 per year
