AI/ML Engineer

Persistent Systems Limited; Hyderabad; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work

Flexible hours

Education sponsorship

Long Service awards

Insurance coverage

Job summary

Persistent Systems Limited is seeking an experienced AI/ML Engineer to join the MLOps team in a full-time role. You will deploy, operationalize, monitor, and maintain production ML solutions, collaborating with data science, data engineering, and business teams to deliver scalable AI systems.

The role emphasizes building adaptable data pipelines, governance metrics, and proactive remediation for model health and performance, within a hybrid work setup.

Qualifications

• 8+ years of IT experience with at least 3 years in AI/ML engineering.
• Strong programming experience in Python and SQL.
• Experience deploying and supporting ML models in production.
• Knowledge of ML concepts incl. regression, classification, model evaluation.
• Familiarity with NLP concepts: sentiment analysis, topic modeling, TF-IDF.
• Hands-on with Scikit-Learn, Pandas, PySpark, and NLP libraries.

Responsibilities

• Collaborate with Data Science and Engineering to deploy models in production.
• Design and maintain end-to-end MLOps pipelines for training, deployment, monitoring, and retraining.
• Operationalize ML models ensuring reliability, scalability, and performance.
• Develop data pipelines to support use-case-specific data needs.
• Integrate AI/ML solutions into business workflows and teams.
• Publish model performance metrics for governance and oversight.
• Monitor model health, data quality, and drift; implement remediation as needed.
• Create runbooks, support procedures, and maintenance guides for ML solutions.
• Participate in troubleshooting and continuous improvement of ML platforms.

Skills

Python

SQL

Model deployment

MLOps practices

Data pipelines

NLP concepts

Cloud platforms

CI/CD for ML

Model governance

Tools

Scikit-Learn

Pandas

PySpark

VADER

MLflow

Kubeflow

Airflow

Vertex AI

Dataiku

Job description

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.

We are seeking an experienced AI/ML Engineerto 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
• Experience: 8 to 12 years
• Job Type: Full-Time Employment

What You'll Do:

• 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.

Expertise You'll Bring:

• 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 AIor 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
• 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

?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?