Machine Learning Engineer

8 - 12 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Total Experience : 8-12years

Location : Hyderabad

Notice Period : Immediate to 30days only

Position : 1


ML Engineer


Key Responsibilities


  • Design and develop high-performance, scalable, and reliable machine learning pipelines and model deployment systems
  • Build and maintain MLOps infrastructure for model training, validation, deployment, and monitoring
  • Create automated ML workflows for data preprocessing, feature engineering, model training, and evaluation
  • Deploy models to production environments and ensure optimal performance and reliability
  • Integrate ML models with existing data infrastructure and APIs
  • Implement model versioning, A/B testing frameworks, and continuous integration/deployment for ML systems
  • Monitor model performance, detect drift, and implement retraining strategies
  • Create custom tools and frameworks to streamline ML development and deployment processes
  • Collaborate with data scientists to productionize research models and experiments


Requirements

  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or MLflow
  • Strong expertise in Python and/or Scala for ML development. Experience with R is a plus
  • Excellent knowledge of ML algorithms, statistical methods, and model evaluation techniques
  • Deep understanding of MLOps practices, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure)
  • Proficiency in distributed computing and experience with Spark for large-scale ML workloads
  • Experience with model serving frameworks (TensorFlow Serving, Seldon, KubeFlow) and API development
  • Knowledge of feature stores, experiment tracking, and ML metadata management
  • Experience with SQL/NoSQL databases and data warehousing for ML feature engineering
  • Understanding of software engineering best practices, version control (Git), and CI/CD pipelines
  • Experience with monitoring and observability tools for ML systems
  • Ability to work independently and collaboratively within cross-functional teams
  • Flexible, adaptive, quick learner with strong problem-solving skills

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