AI/ML Engineer

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 whats 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 disruptors 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 an experienced AI/ML Engineer to join our MLOps team and drive the deployment, operationalization, monitoring, and maintenance of Machine Learning solutions in production. The ideal candidate will have strong expertise in Python, SQL, machine learning model deployment, data pipelines, and MLOps practices, with the ability to collaborate closely with Data Science, Data Engineering, and Business teams to deliver scalable AI solutions.

• Role: ML Ops
• Location: Pune/Hyderabad
• Experience: 8 to 12 years
• Job Type: Full-Time Employment

• Collaborate with Data Science and Engineering teams to deploy, operationalize, and scale machine learning models in production environments.
• Design, develop, and maintain end-to-end MLOps pipelines for model training, validation, deployment, monitoring, and retraining.
• Operationalize complex machine learning models and algorithms, ensuring reliability, scalability, and performance.
• Develop and maintain adaptable data pipelines to support use-case-specific data requirements.
• Integrate AI/ML solutions into business workflows and collaborate with upstream and downstream teams to ensure seamless data and model consumption.
• Build and maintain automated pipelines for generating and publishing model performance metrics to support model governance and oversight processes.
• Monitor model health, performance, data quality, and model drift, and implement remediation strategies when required.
• Develop operational runbooks, support procedures, and maintenance guidelines for production ML solutions.
• Participate in troubleshooting, root cause analysis, and continuous improvement of ML platforms and pipelines.

• 8+ years of overall IT experience with at least 3 years of hands-on AI/ML engineering experience.
• Strong programming experience in Python and SQL.
• Experience deploying and supporting machine learning models in production environments.
• Strong understanding of machine learning concepts and algorithms, including:
• Regression
• Classification
• Model evaluation and performance measurement
• Knowledge of Natural Language Processing (NLP) concepts, including:
• Sentiment Analysis
• Topic Modeling
• TF-IDF
• Hands-on experience with:
• Scikit-Learn
• Pandas
• PySpark
• VADER Sentiment (or similar NLP libraries)
• Experience designing and maintaining data pipelines and ETL/ELT workflows.
• Familiarity with model monitoring, performance tracking, and model lifecycle management.
• Experience working with cloud-based AI/ML platforms and distributed data processing environments.
• Strong collaboration and communication skills with cross-functional teams.
• Experience with Vertex AI or Dataiku.
• Exposure to MLOps tools and frameworks such as MLflow, Kubeflow, Airflow, or similar.
• Experience with cloud platforms such as GCP, AWS, or Azure.
• Knowledge of CI/CD automation for ML deployments.
• Experience with model governance, risk oversight, and compliance processes.

• 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

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

• Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. ML Ops,Tool Development for Generative AI