AI/ML

Position Description:

Employees in this job function are responsible for designing, building, deploying and scaling complex self-running ML solutions in areas like computer vision, perception, localization etc. They also automate and optimize the end-to-end ML model lifecycle using their expertise in experimental methodologies, statistics, and coding for tool building and analysis. Key Responsibilities: 1) Collaborate with business and technology stakeholders to understand current and future ML requirements 2) Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments 3) Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure 4) Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy 5) Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others. 6) Train and re-train ML models and systems as required 7) Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios 8) Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps 9) Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems

Skills Required:

Big Query,, AI/ML

Skills Preferred:

Front End (Software Engineering), Full Stack Java Developer

Experience Required:

Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development

Experience Preferred:

0

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

We are looking for a candidate who can bridge user-facing application development with machine learning integration. The ideal person should: Frontend Expertise Strong knowledge of modern frameworks (React, Angular,). Ability to design and implement responsive, intuitive, and scalable UI components. Experience with API integration and data visualization for ML outputs. Machine Learning Knowledge Hands-on experience with Python ML libraries (TensorFlow, PyTorch, Scikit-learn). Ability to preprocess data, train models, and deploy them into production systems. Understanding of MLOps practices for monitoring and scaling ML solutions. Integration Skills Capable of embedding ML models into frontend applications for real-time predictions. Skilled at building workflows that connect backend services, ML pipelines, and frontend interfaces. Strong debugging and optimization skills across both domains.

12-Dec-2025

OPN Version 1.0