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26 SGS Jobs

Machine Learning Engineer

2-7 years

Mumbai

1 vacancy

Machine Learning Engineer

SGS

posted 2d ago

Job Role Insights

Flexible timing

Job Description

Role Description


As an AI/ML Engineer at MySGS & Co., you will play a key role in designing, developing, and maintaining machine learning (ML) systems and AI-driven automation solutions. You will collaborate closely with product managers, data scientists, data engineers, architects, and other cross-functional teams to build scalable and production-ready ML models. Your role will focus on both ML development and MLOps, ensuring seamless deployment, monitoring, and automation of ML models in real-world applications.

You will be responsible for optimizing end-to-end ML pipelines, automating workflows, managing model lifecycle operations (MLOps), and ensuring AI systems are scalable and cost-efficient. You will embrace a build-measure-learn approach, continuously iterating and improving models for performance and reliability.


Responsibilities

  • Design, develop, and maintain ML models to solve business challenges and drive automation.
  • Implement and optimize ML algorithms for efficiency, scalability, and AI-powered insights.
  • Conduct experiments, A/B testing, and model evaluations to improve performance.
  • Develop, containerize, and deploy AI/ML systems in production environments using best practices.
  • Automate and streamline ML pipelines, ensuring smooth transitions from development to production.
  • Monitor and troubleshoot the performance, accuracy, and drift of ML models in production.
  • Execute and automate model validation tests, ensuring robustness and reliability.
  • Optimize training and inference workflows, enhancing model efficiency and speed.
  • Manage model versioning, deployment strategies, and rollback mechanisms.
  • Implement and maintain CI/CD pipelines for ML models, ensuring smooth integration with engineering workflows.
  • Review code changes, pull requests, and pipeline configurations to uphold quality standards.
  • Stay updated with emerging AI/ML technologies, MLOps best practices, and cloud-based ML platforms.

Skills and Qualifications

  • Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience deploying and maintaining ML models using Docker, Kubernetes, and cloud-based AI services (AWS Sagemaker, GCP Vertex AI, Azure ML).
  • Solid understanding of MLOps principles, including CI/CD for ML models, model monitoring, and automated retraining.
  • Knowledge of data engineering principles, data preprocessing, and feature engineering for ML pipelines.
  • Familiarity with workflow orchestration tools.
  • Experience with real-time model serving and API deployment.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Ability to collaborate cross-functionally and work in a fast-paced AI-driven

Employment Type: Full Time, Permanent

Read full job description

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What people at SGS are saying

What SGS employees are saying about work life

based on 1.6k employees
55%
49%
36%
95%
Flexible timing
Monday to Saturday
No travel
Day Shift
View more insights

SGS Benefits

Health Insurance
Job Training
Free Transport
Soft Skill Training
Cafeteria
Free Food +6 more
View more benefits

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