Expert Machine Learning Specialist

3 weeks ago

Delhi, Delhi, India Jupiter AI Labs ✔ Full time
Job Description

As a seasoned Machine Learning Engineer at Jupiter AI Labs, you will play a pivotal role in designing and developing cutting-edge machine learning models for various applications. With a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP), you will work closely with cross-functional teams to integrate ML models into larger systems.

Responsibilities
  • Model Development: Design, develop, and optimize machine learning models using Python or other relevant frameworks, focusing on advanced topics like LLMs and NLP.
  • Data Preparation: Collect, preprocess, and analyze large datasets for model training and evaluation, ensuring data quality and scalability for ML solutions.
  • Algorithm Implementation: Implement state-of-the-art machine learning algorithms in Python or other relevant frameworks, fine-tuning models for specific business use cases.
  • Deployment and Monitoring: Deploy ML models into production and monitor performance metrics, ensuring scalability, reliability, and efficiency in real-world applications.
Requirements
  • 4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.
  • Strong knowledge of Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with NLP, LLMs, and real-time data processing.
  • Proficiency in data preprocessing, feature engineering, and model optimization.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and ML deployment pipelines.
Preferred Skills
  • Knowledge of WebSocket and streaming technologies.
  • Experience with Reinforcement Learning or Generative Models.
  • Familiarity with MLOps practices.
Compensation

The estimated annual salary for this position is around $120,000-$150,000, depending on experience and location.

About Us

Jupiter AI Labs is a leading AI research and development company dedicated to advancing the field of artificial intelligence through innovative research and technological advancements.

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