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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and own AI/ML solutions lifecycle including data preparation, model development, evaluation, deployment, and integration into industrial business processes.
Lead cross-functional collaboration to translate business needs into scalable AI-enabled applications, ensuring alignment with IT, cybersecurity, and data governance standards.
Manage technical delivery of AI solutions including partner/vendor coordination, solution architecture documentation, performance monitoring, and continuous innovation adoption.
Minimum Requirements
Master’s degree in Engineering, Computer Science, Data Science, Applied Mathematics, or related field.
8+ years overall professional experience with 2 to 4 years in AI, machine learning, data science, or software engineering.
Strong programming skills in Python, C++, or similar, with experience in ML/DL frameworks like TensorFlow or PyTorch.
Not explicitly mentioned: Notice period requirement.
Ideal Candidate Profile
Experienced in developing and deploying AI/ML solutions in complex industrial or technical operational environments.
Strong expertise in AI techniques including classical ML, deep learning, generative AI, time-series analysis, and optimization, plus cloud architecture familiarity (AWS, Azure).
Able to lead technical delivery end-to-end, including solution architecture, partner management, and integrating AI into existing enterprise systems with attention to maintainability and compliance.