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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement AI/ML solutions including generative AI, deep learning, and optimization algorithms to improve efficiency and decision-making.
Own the end-to-end machine learning lifecycle and architecture, ensuring integration of AI capabilities into existing business and technical systems compliant with IT and security standards.
Lead collaboration with domain experts and manage external/internal partners to deliver scalable, maintainable AI solutions and drive innovation adoption in industrial environments.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
8+ years overall professional experience with 2-4 years specifically in AI, machine learning, data science, or software engineering roles.
Proficiency in Python and/or C++ and experience with ML frameworks such as TensorFlow or PyTorch.
Experience with AI/ML solution deployment in industrial, technical or complex operational environments preferred.
Ideal Candidate Profile
Experienced in selecting appropriate AI/ML techniques and tooling (classical ML, deep learning, GenAI) for complex industrial/operational use cases.
Capable of defining and documenting end-to-end AI architectures aligned with enterprise IT and security requirements.
Skilled in cross-functional collaboration to translate business needs into scalable AI tools with strong execution ownership of solution delivery and lifecycle management.