AI/ML Engineer

Persistent Systems; Pune District; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Flexible work hours

Long Service awards

Health insurance

Job summary

Persistent Systems in Pune seeks an experienced AI/ML Engineer to lead deployment and operationalization of ML solutions in production, collaborating with Data Science, Data Engineering, and Business teams to deliver scalable AI.

You will design end-to-end MLOps pipelines, monitor model health and data quality, and drive governance with automated metrics. 8–12 years IT experience, strong Python/SQL, and cloud/CI/CD expertise are required.

Qualifications

• 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 and classification.
• Knowledge of NLP concepts including sentiment analysis, topic modeling, TF-IDF.
• Hands-on experience with Scikit-Learn, PySpark, and VADER sentiment.
• Experience designing and maintaining data pipelines and ETL/ELT workflows.
• Familiarity with model monitoring, performance tracking, and lifecycle management.
• 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.

Responsibilities

• 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.

Skills

Python

SQL

MLOps

Data pipelines

NLP

Scikit-Learn

PySpark

VADER

Model monitoring

CI/CD for ML

Cloud platforms

Tools

MLflow

Kubeflow

Airflow

Vertex AI

Dataiku

GCP

AWS

Azure

Job description

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.

• 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
• 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
• 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.”