Machine Learning Engineer

About Position :

We are hiring a highly skilled Machine Learning Engineer to lead the development and deployment of scalable ML solutions for enterprise applications. This role requires deep expertise in ML model development, MLOps, and cloud-native AI platforms, along with strong collaboration and solution delivery capabilities.

Role : Machine Learning Engineer

Location : All Persistent location

Experience : 8 to 12 Years

Job Type : Full Time Employment

What You'll Do :

You will design and implement robust ML pipelines, collaborate across teams, and deliver AI / ML solutions that drive business impact.

Design, develop, and implement ML models for predictive analytics, NLP, computer vision, and recommendation systems

Build and maintain end-to-end ML pipelines including data preprocessing, feature engineering, training, deployment, and monitoring

Leverage cloud AI / ML platforms (Google Vertex AI, AWS SageMaker, Azure ML) for scalable model deployment

Apply MLOps practices : CI / CD for ML, automated retraining, model versioning, drift detection, and monitoring

Optimize models for performance, scalability, and cost-efficiency

Collaborate with data scientists and engineers to productionize models

Translate business requirements into ML-driven solutions

Evaluate and integrate Generative AI and LLM-based solutions where applicable

Ensure compliance with AI governance, data privacy, and security standards

Mentor junior engineers and contribute to reusable frameworks and best practices

Expertise You'll Bring :

You’ll bring hands-on experience in ML engineering, cloud platforms, and MLOps, with strong problem-solving and leadership capabilities.

8–12 years of IT experience, with 5+ years in ML / AI engineering

Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras)

Hands-on experience with MLOps tools : MLflow, Kubeflow, Airflow, CI / CD pipelines (Jenkins, GitHub Actions, Argo)

Experience with cloud AI / ML platforms : GCP Vertex AI, AWS SageMaker, or Azure ML

Knowledge of big data ecosystems (Spark, Kafka, Hadoop, Dataproc / EMR / Databricks)

Strong skills in SQL and NoSQL databases, data preprocessing, and feature engineering

Familiarity with containerization & orchestration (Docker, Kubernetes)

Experience with real-time inference and API-based model deployment

Strong problem-solving and analytical skills, with the ability to deliver in Agile environments

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 Ltd. 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.”