About Persistent
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.
About Position:
We are seeking a Senior Machine Learning Engineer to design, develop, and deploy production-grade AI/ML solutions that solve complex business challenges. The ideal candidate will have strong expertise in Classical Machine Learning, Deep Learning, Computer Vision, and MLOps, with the ability to build scalable, high-performance AI systems from development through deployment.
Role: Sr. ML Engineer-
Location: Pune
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Experience: 7 to 10 Years
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Job Type: Full Time Employment
What You'll Do:
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Develop and optimize Machine Learning models using core ML algorithms, feature engineering, model evaluation, and performance tuning techniques.
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Solve business problems using traditional ML approaches and data-driven methodologies.
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Apply Deep Learning, Computer Vision, and Image Processing techniques to build intelligent solutions, with a clear understanding of the differences and practical applications of each domain.
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Classical Machine Learning (Highest Priority)
Strong understanding of core ML algorithms, feature engineering, model evaluation, optimization techniques, and practical problem-solving using traditional ML approaches. -
Deep Learning, Computer Vision, and Image Processing (Second Priority)
Candidates should have a solid foundation in these areas. The client specifically highlighted that while Deep Learning and Computer Vision are closely related, they are distinct domains, and candidates should demonstrate a clear understanding of both. -
Strong Analytical and Problem-Solving Skills
Ability to approach complex problems methodically, identify root causes, and develop effective AI/ML solutions. -
Production-Grade AI/ML Development Experience
Hands-on experience in building, deploying, and maintaining scalable and reliable AI/ML solutions in real-world environments. -
Cloud deployment and MLOps exposure
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Embedded AI deployment experience
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Agentic AI concepts and applications
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Software Engineering and Quality Practices
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Understanding of software development lifecycles
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Quality engineering and testing practices
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Validation and verification processes
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Production readiness and deployment considerations
Expertise You'll Bring:
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Strong proficiency in Classical Machine Learning, including ML algorithms, feature engineering, model evaluation, optimization, and model tuning.
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Solid understanding of Deep Learning, Computer Vision, and Image Processing, with the ability to differentiate and apply these technologies effectively.
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Excellent analytical and problem-solving skills to address complex business and technical challenges using AI/ML solutions.
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Hands-on experience in developing, deploying, and maintaining production-grade AI/ML applications at scale.
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Knowledge of model lifecycle management, performance monitoring, and scalability considerations.
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Exposure to Cloud platforms, MLOps practices, and AI solution deployment.
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Familiarity with Embedded AI systems and deployment in resource-constrained environments.
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Understanding of Agentic AI concepts, frameworks, and real-world applications.
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Strong foundation in Software Engineering best practices, including SDLC, testing, validation, and quality assurance.
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Ability to deliver reliable, production-ready solutions with a focus on maintainability, performance, and business impact
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PhD/Masters in Computer Science, AI, Computer Vision, or related field.
Benefits:
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Competitive salary and benefits package
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Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
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Opportunity to work with cutting-edge technologies
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Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
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Annual health check-ups
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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.
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We support hybrid work and flexible hours to fit diverse lifestyles.
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Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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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.”
