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Applications open Full-Time Job

AI/ML Engineer

Persistent

  • Pune, India
  • Competitive Package (Best in Industry)
  • 5-8 Yrs
  • Posted Today
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About the role

About Position: We are seeking a skilled Associate AI/ML Engineer to join our dynamic team. In this role, you will develop and deliver full-stack, cloud-native applications using modern UI frameworks and scalable backend microservices. You will work under established architectural guidelines to design, implement, test, and troubleshoot software components and features, ensuring quality, performance, and reliability.

Role: AI/

ML Engineer Location

All

Persistent Locations Experience

5 to 8

Years Job Type

Full-Time Employment

What You'll Do

  • Develop micro products and services using React/Next.js for front-end and Spring Boot/Python for backend development.
  • Contribute to building AI-enabled features, including exposure to Generative AI and agent-based workflows, under guidance from senior engineers.
  • Enhance user interfaces using modern JavaScript frameworks, focusing on usability, performance, and maintainability.
  • Write and optimize database queries and stored procedures using MS SQL and work with GraphQL APIs for efficient data access.
  • Collaborate as part of an Agile/Scrum team to deliver new product features and services in iterative release cycles.
  • Participate actively in code reviews, following coding standards and incorporating feedback to improve code quality.
  • Support and improve CI/CD pipelines, contributing to build, deployment, and automation efforts for cloud-native applications.
  • Expertise You'll Bring: 4+ years of hands-on experience in full-stack application development.
  • Practical exposure to React-based UI development, Spring Microservices, and API-driven architectures.
  • Strong proficiency in Python.
  • Good understanding of building secure, reliable, and scalable systems, including authentication, authorization, performance optimization, logging, monitoring, and production support.
  • Experience integrating AI/ML capabilities into applications or microservices.
  • Understanding of the AI/ML lifecycle, including model deployment, monitoring, and maintenance.
  • Experience contributing to reusable backend services or shared application components.
  • Practical exposure to applying AI/ML or NLP concepts to real-world business problems.
  • Demonstrated ability to build maintainable, reusable, and scalable software solutions.
  • Experience working with React, Next.js, Spring Boot, Python, GraphQL, and MS SQL technologies.
  • Strong understanding of software engineering best practices, code quality, testing, and continuous integration.
  • Experience working within Agile/Scrum delivery environments.
  • Ability to collaborate effectively with product owners, architects, developers, QA teams, and business stakeholders.
  • Strong analytical, statistical, and problem-solving skills.
  • Knowledge of experimental methodologies, optimization, probability theory, and machine learning concepts.
  • Ability to communicate and present complex analytics findings and technical concepts to leadership and stakeholders.
  • Willingness to learn, collaborate, receive mentorship, and share knowledge with peers.
  • Passion for AI, machine learning, cloud-native development, and innovative product engineering.
  • Strong commitment to continuous learning, delivery excellence, and engineering best practices.

Benefits

  • Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive
  • Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace.
  • We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference.
  • We welcome diverse candidates from all backgrounds.
  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent - persistent.com/careers "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Eligibility & process

Who can apply

Experience: 5-8 Yrs. Open to matching qualifications.

Skills & stack

Python Artificial Intelligence Spring Boot Machine Learning React JavaScript SQL Next.js

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
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, Artificial Intelligence, Spring Boot, Machine Learning, React, JavaScript, SQL, Next.js) & 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 Persistent Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Persistent as a AI/ML Engineer?
Highlight Persistent'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.
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Persistent Competitive Package (Best in Industry)
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