AI/ML Engineer
Hitachi, Ltd. (company site, opens in a new tab)2+ yrsChennaiOn-siteDirect career pageEst. 10–20 LPA
Posted on 2 Sept
Reach people at Hitachi, Ltd.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Hitachi, Ltd. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Conduct feasibility studies and develop new AI concepts and solutions integrating them into production for Industry 4.0 advancements.
- Lead prototyping and testing activities to validate AI technologies and algorithms.
- Provide technical support and perform data analysis to improve manufacturing processes, collaborating globally with research teams and factories.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or related fields.
- Minimum 2 years of hands-on experience in Artificial Intelligence, including model development for regression, classification, and computer vision tasks.
- Expert Python skills with experience in Scikit-learn, Numpy, and Pandas; proficiency in computer vision techniques like object detection and image classification; production deployment experience.
- Work Experience Required: Minimum 2 years in AI/ML field; Onsite location: Chennai, India; Proficiency in English (spoken and written).
Ideal Candidate Profile
- Experienced in applying AI/ML solutions within industrial or production environments, familiar with operational excellence and process improvements.
- Collaborative with a global and cross-functional mindset, engaging with research institutions, factories, and technology teams.
- Has hands-on experience in integrating AI systems with hardware setups and ideally some project management or technical leadership experience.