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REQUIREMENT_ID_1397 β€’ 3-DAY_ACTIVE_POLICY

AI Engineer / Developer

Company
Company Ametek
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 6-10 LPA
Location
Location Bengaluru, Karnataka, India – 560048
Posted Date
Posted Date Today
Python Machine Learning Large Language Models Generative AI Prompt Engineering Retrieval-Augmented Generation Git RESTful APIs Data Preprocessing Software Testing Documentation
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Aptitude practice questions and answers Open Resource β†—
Helps you prepare for the online aptitude test commonly used by Ametek for screening freshers.
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Company interview preparation guide Open Resource β†—
Provides insights on typical technical interview patterns and sample questions for AI roles at Ametek.
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Comprehensive interview preparation resources Open Resource β†—
Offers curated notes, mock interviews, and interview experiences relevant for AI engineering positions.
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Algorithm and data‑structure problem set Open Resource β†—
Essential for sharpening coding skills required for the technical coding round at Ametek.

β€’ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related engineering discipline. β€’ Minimum aggregate of 60% (or equivalent CGPA) in the qualifying degree. β€’ Graduating batch 2023, 2024, 2025 or 2026 (or equivalent) – freshers and candidates with up to 2 years of experience are eligible. β€’ No active backlogs at the time of application; a maximum of one backlog allowed in the final year, provided it is cleared before joining. β€’ Strong proficiency in Python programming. β€’ Basic understanding of Machine Learning concepts, LLMs, and Generative AI. β€’ Exposure to AI projects, internships, or personal work on LLMs/RAG is a plus.

1
Round 1: Online aptitude and coding test
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Round 2: Technical interview (Python, ML concepts, project discussion)
3
Round 3: HR interview (fitment, communication, expectations)
Ametek is a global leader in engineered electronic solutions, serving a wide range of industries such as aerospace, medical, industrial, and energy. With a strong focus on innovation, Ametek invests heavily in emerging technologies like artificial intelligence, machine learning, and generative AI to create smarter, more efficient products for its customers. The company’s Indian operations, based in Bengaluru, act as a hub for research, development, and engineering excellence, offering fresh talent the chance to work on cutting‑edge projects that have a real impact on global markets. The AI Engineer / Developer role is an early‑career position designed for fresh graduates and candidates with up to two years of experience. The selected individual will join the AI Solutions team and will be responsible for building, testing, and deploying AI‑powered components that support Ametek’s engineering divisions. This role offers a unique blend of software development, data engineering, and AI research, allowing the candidate to gain hands‑on experience with large language models, retrieval‑augmented generation, and prompt engineering while collaborating closely with senior AI technical leads. Key responsibilities include: 1. Designing and coding Python modules for AI‑driven applications. 2. Preparing and cleaning datasets, and building document‑processing pipelines. 3. Implementing Retrieval‑Augmented Generation (RAG) workflows and crafting effective prompts for LLMs. 4. Developing and maintaining RESTful APIs and utility scripts. 5. Conducting unit and integration testing, documenting test results, and iterating on model performance. 6. Using Git for version control, adhering to coding standards, and participating in code reviews. 7. Collaborating with cross‑functional engineering teams to integrate AI solutions into larger product ecosystems. 8. Monitoring emerging AI tools and sharing insights with the team. 9. Maintaining detailed logs of experiments, issues, and progress reports. 10. Ensuring compliance with IT security policies, data classification standards, and customer‑data protection guidelines. The tech stack revolves around Python, popular ML libraries (TensorFlow, PyTorch, scikit‑learn), LLM frameworks (Hugging Face Transformers), API development (FastAPI/Flask), Git, and cloud platforms for model deployment. Ametek provides a clear growth path: junior engineers can progress to AI Specialist, then to AI Lead, and eventually to AI Architecture roles, with opportunities to move into product management or solution consulting. Why join Ametek? The company offers exposure to real‑world industrial AI challenges, mentorship from seasoned AI professionals, and a collaborative culture that encourages continuous learning. Fresh talent gets to work on projects that directly influence high‑value products, while enjoying a supportive environment that balances technical depth with work‑life harmony.

Ametek β€” QA & Automation Testing Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Ametek Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Ametek and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, Machine Learning, Large Language Models, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Git, RESTful APIs, Data Preprocessing, Software Testing, Documentation) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Ametek Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer β–Ό
Model Answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer β–Ό
Model Answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer β–Ό
Model Answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer β–Ό
Model Answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer β–Ό
Model Answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Why do you want to join Ametek as a AI Engineer / Developer?
Preparation Tip: Highlight Ametek's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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