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Machine Learning Engineer
Machine Learning EngineerSitevis LTD • Lucknow, IN
Machine Learning Engineer

Machine Learning Engineer

Sitevis LTD • Lucknow, IN
20 hours ago
Job description

About the Role

We are seeking a Machine Learning Engineer to design, build, and deploy scalable ML models that power data-driven products and decisions. You will work closely with data scientists, software engineers, and product teams to take models from research to production in a fully remote environment.

Key Responsibilities

  • Design, develop, and deploy machine learning models for production use
  • Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
  • Collaborate with product and engineering teams to translate business requirements into ML solutions
  • Optimize model performance, reliability, and scalability
  • Monitor models in production and retrain as needed
  • Conduct experiments and evaluate models using appropriate metrics
  • Write clean, maintainable, and well-documented code

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
  • 3+ years of experience as a Machine Learning Engineer or similar role
  • Strong proficiency in Python
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Solid understanding of machine learning algorithms, statistics, and data structures
  • Experience with SQL and data manipulation tools
  • Familiarity with software engineering best practices (version control, testing, CI / CD)
  • Preferred Qualifications

  • Experience deploying ML models in production
  • Knowledge of MLOps tools and workflows
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with Docker, Kubernetes, and REST APIs
  • Experience with big data tools (Spark, Kafka, Airflow)
  • Background in NLP, computer vision, or recommendation systems
  • Tech Stack

  • Python, SQL
  • PyTorch / TensorFlow
  • AWS / GCP / Azure
  • Docker, Kubernetes
  • Git, CI / CD pipelines
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