ML+GEN AI

Persistent Systems
Pune Division, Maharashtra, India

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 looking for a ML+GEN AI.

  • Role: ML+GEN AI
  • Location: All Persistent Locations
  • Experience: 5+ years
  • Job Type: Full-Time Employment

What You'll Do

  • Design, develop, and implement machine learning models and algorithms to solve complex data problems.
  • Collaborate with data engineers and data scientists to ensure the effective deployment of ML models.
  • Manage the ML Ops lifecycle, including model training, validation, deployment, and monitoring.
  • Optimize and maintain existing ML models to improve performance and accuracy.
  • Develop and maintain data pipelines to support data ingestion, transformation, and storage.
  • Conduct code reviews and provide mentorship to junior team members.
  • Stay updated with the latest trends and technologies in AI/ML and data engineering.

Expertise You'll Bring

  • Proven experience in ML Ops, including tools and frameworks such as MLflow, Kubeflow, or similar.
  • Strong programming skills in Python, R, or Java.
  • Experience with data engineering tools and technologies such as Apache Spark, Hadoop, or Kafka.
  • Solid understanding of machine learning algorithms and statistical modeling.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
  • Experience with version control systems, particularly Git.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of data visualization tools (Tableau, Power BI, etc.) and techniques.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience in working with large datasets and distributed computing.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team-oriented environment.
  • Proactive attitude towards learning and adapting to new technologies.
  • Strong organizational skills and the ability to manage multiple priorities effectively.
  • Passion for AI/ML and data engineering with a focus on delivering innovative solutions.

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.”

ML Ops,AI Frameworks

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Questions about this job

How do I apply for the ML+GEN AI job at Persistent Systems?

Use the apply link on this page: you apply directly with Persistent Systems on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Persistent Systems want for this ML+GEN AI role?

The job description asks for ML Ops, MLflow, Kubeflow, Python, R, Java, Apache Spark and Hadoop. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Persistent Systems?

Apply to the Persistent Systems roles that match your experience, and tailor your resume to each job description: for this role that means showing ML Ops, MLflow, Kubeflow. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this ML+GEN AI job remote or onsite?

This is based in Pune Division, Maharashtra.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Persistent Systems, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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