Machine Learning GenAI

6 - 11 years

1 - 6 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Hybrid

Job Type

Full Time

Job Description

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We are seeking an experienced Machine Learning Engineer with a strong background in Generative AI and the development of scalable ML models. The ideal candidate will have deep hands-on experience in Python, core ML/AI/DL concepts, and relevant statistical methods. The role requires a solid grasp of frameworks like TensorFlow, PyTorch, and MLlib, and deployment experience using Kubernetes, Jenkins, and Prometheus.

You will work on mission-critical ML systems in areas such as recommendation engines, forecasting models, and safety-focused AI applications, with an emphasis on high-performance and production-grade solutions.

Key Responsibilities:

  • Design, build, and deploy scalable machine learning models for GenAI applications.
  • Utilize Python, machine learning, deep learning, and statistical techniques to solve real-world problems.
  • Implement and optimize solutions using TensorFlow, PyTorch, and MLlib.
  • Develop and manage data pipelines using SQL and Apache Spark.
  • Integrate ML models into production environments using Kubernetes and Jenkins.
  • Monitor performance and ensure system reliability using Prometheus and related tools.
  • Apply ML techniques in domains like recommendation systems, safety models, and forecasting algorithms.

Must-Have Skills:

  • Scalable ML model development
  • Python, ML, AI, DL, statistics
  • TensorFlow, PyTorch, MLlib
  • SQL, Spark
  • Kubernetes, Jenkins, Prometheus
  • Experience in recommendation, safety, forecasting, etc.

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