ML Engineer

20 hours ago

Pacific Remote Islands Marine National Monument, India Technology Next Full time

ML Engineer
Experience: 6-8 years
Work Mode: Remote

NOTE: Must Have: DevOps tools, Python and Excellent Communication

Key Responsibilities:

  • Design, develop, and deploy machine learning models for real-world applications.
  • Implement and optimize end-to-end ML pipelines using PySpark and MLflow.
  • Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries.
  • Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch.
  • Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc.
  • Collaborate with cross-functional teams including data engineers, product managers, and software developers.
  • Monitor model performance and continuously improve model accuracy and reliability.
  • Maintain proper versioning and reproducibility of ML experiments using MLflow

Required Skills:

  • Strong programming experience in Python.
  • Solid understanding of machine learning algorithms, model development, and evaluation techniques.
  • Experience with PySpark for large-scale data processing.
  • Proficient with MLflow for tracking experiments and model lifecycle management.
  • Hands-on experience with Pandas, NumPy, and Scikit-learn.
  • Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers).
  • Understanding of MLOps principles and deployment best practices

Preferred Qualifications:

  • Bachelor's or master's degree in computer science, AI/ML, Data Science, or a related field.
  • Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus
  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.

Job Types: Full-time, Permanent

Pay: ₹2,000, ₹2,600,000.00 per year

Experience:

  • DevOps: 5 years (Required)
  • Python: 5 years (Required)
  • MLOps: 5 years (Required)

Work Location: Remote

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