Live opening · Posted 8 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Role Purpose
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.
3. 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.
4. 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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