Persistent Systems
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Pune · Hybrid · 6-9 Yrs · 3 days ago
Information Technology Support Services · 10000+ Employees · Pune, India
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026. Our Company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent - persistent.com/careers
Hiring: Engineering
What employees say
+ Work Life Balance is good
− Salary growth is not good
More reviews on the company profile.
Interview experience · Senior RPA Developer
The 1st round was led by AI assistant. The next round was Managerial round which went well, They asked me scenario based technical questions. It was also hands-on round where they wanted to check if I can actually build
Easy difficulty · India · 1,761 reports
More interview insightsJob description
Overview
We are seeking a highly skilled and motivated AI / Machine Learning Specialist to join our growing team.
Responsibilities
- Machine Learning Model Development:
- Design, develop, test, and deploy machine learning models to address business and technical challenges.
- Apply supervised, unsupervised, and reinforcement learning techniques as required.
- Data Analysis & Insights:
- Analyze large, complex, and structured/unstructured datasets to extract actionable insights.
- Perform feature engineering, data preprocessing, and model optimization.
- Cross-Functional Collaboration:
- Work closely with data engineering, product management, software development, and business teams to translate requirements into AI/ML solutions.
- Support end-to-end model lifecycles from concept to production.
- Model Integration & Deployment:
- Integrate AI/ML models into existing software systems and applications.
- Ensure model scalability, performance, and reliability.
- Innovation & Continuous Learning:
- Stay up to date with the latest AI/ML research, trends, tools, and best practices.
- Proactively recommend and implement new approaches to improve existing solutions.
- Experience with Deep Learning Frameworks such as TensorFlow, Keras, or PyTorch.
- Knowledge of Natural Language Processing (NLP) techniques and libraries (NLTK, SpaCy, Gensim)
- Familiarity with Big Data Platforms (Hadoop, Spark, Hive)
- Proficiency in SQL and complex query writing
- Experience with Cloud Platforms such as AWS, Google Cloud Platform, or Microsoft Azure
- Understanding of Computer Vision concepts and libraries (OpenCV)
- Familiarity with Reinforcement Learning algorithms
- Experience with Data Visualization Tools (Tableau, Power BI, Matplotlib)
- Knowledge of DevOps tools (Docker, Kubernetes, Jenkins)
- Experience working in Agile / Scrum environments
- Expertise You'll Bring:
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
- 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
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Job application FAQ
Last updated 5 November 2026
- How do I apply for Machine Learning Specialist at Persistent Systems?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Persistent Systems may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Specialist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Specialist remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Specialist role at Persistent Systems?
- This is a mid-level Machine Learning Specialist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.