AI Engineer/ Developer
Bengaluru · Entry Level
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Job description
The Engineer /Developer - AI is an early-career engineer who supports the design, development and testing of AI solutions for AMETEK India Engineering and its Business Units. The role suits a keen learner who adapts quickly to a new working environment, builds a solid understanding of AMETEK products and engineering workflows, and grows into independent delivery of assigned tasks.
Key Responsibilities:
Development and Support
- Implement well-defined components in Python, such as data preparation, document-processing pipelines, RAG components, prompts, scripts and APIs.
- Support testing and evaluation of solutions, and document results, code and setup clearly.
Learning and Adaptation
- Quickly learn the team’s tools, platforms, coding standards and engineering domain context.
- Technology awareness: explore the latest AI tools and techniques and share useful findings with the team.
- Seek and act on feedback from reviews; use version control and team practices consistently.
Collaboration and Compliance
- Work with the Technical Lead - AI and BU engineers to understand needs and support user testing and feedback.
- Ensure compliance with applicable AMETEK IT policies, security requirements and governance processes, including data-classification, export-control and customer-IP requirements.
Reporting
- Update the Technical Lead - AI on task progress at pre-defined intervals, and raise blockers early.
- Maintain clear records of test results and issues to support KPI and dashboard reporting.
Qualifications and Experience:
- Bachelor's or Master's degree in Computer Science, AI/ML or a related engineering discipline.
- 0 to 2 years of experience, including internships, academic or personal projects in AI/ML.
- Working proficiency in Python; basic understanding of machine learning and LLM concepts.
- Exposure to Generative AI or RAG through projects, coursework or self-learning is an advantage.
Core Skills:
Technical Fundamentals
- Python programming
- ML and LLM fundamentals
- Prompting and basic RAG concepts
- Git and version control
- Basic APIs, data handling and testing
Working Style
- Eagerness to learn and adapt quickly
- Receptive to feedback
- Structured, reliable and detail-oriented
- Clear written and verbal communication
- Teamwork and willingness to ask for help
Preferred Profile:
- Genuinely curious about AI, technology and how products are built.
- Learns fast, takes ownership of assigned tasks and follows through.
- Comfortable working in a multidisciplinary engineering team across locations.
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