AI Engineer

Job Title: AI Engineer Company: Seco Tools Job Category: Machine Learning Roles & Responsibilities: Reports to: Maria Alexandersson, Manager – AI \& Automation Core Responsibilities: -------------------------- About the role: * Are you passionate about turning AI and machine learning into solutions that make a real difference? As an AI Engineer in our AI Center for Enablement, you will contribute to the design and delivery of AI solutions that address business challenges and create new opportunities across the organization. * You will build impactful models and systems, collaborate with cross\-functional teams and help implement our AI strategy. Working closely with senior engineers and stakeholders, you will help ensure that AI is adopted in a scalable, ethical and effective way. What you will do: * + Contribute to the development and deployment of AI/ML solutions that drive business value. + Collaborate with business stakeholders to understand use cases and support solution design. + Translate business requirements into scalable, production\-ready AI applications, with guidance from senior team members. + Support the evolution of our AI platform, tools and reusable assets to enable consistent delivery. + Apply software engineering best practices such as version control, testing, code quality and modular design. + Work with DevOps/MLOps teams to build reliable and maintainable AI pipelines. + Ensure adherence to AI governance, data privacy and ethical AI standards. + Take part in knowledge sharing and internal capability building around AI/ML. + Stay informed about AI innovation, tools and methods relevant to our practice. Work Location: Maharashtra, India Availability: Full time

* + Hands\-on experience designing and delivering AI/ML solutions in production environments. + Solid knowledge of ML and AI techniques, including supervised/unsupervised learning, NLP, computer vision, deep learning and GenAI. + Proficient in Python and experienced with major ML frameworks (e.g., TensorFlow, PyTorch, scikit\-learn). + Experience with Lakehouse architectures, preferably Databricks. + Understanding of modern software development practices, including CI/CD, testing and version control. + Familiar with DevOps and MLOps principles for AI system development. + Bachelor’s or master’s degree in computer science, Data Science, Engineering or a related field (or equivalent practical experience). Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP, Computer Vision Salary: Not disclosed