ML Engineer

India - Remote

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This role is for one of the Weekday's clients

We are seeking a Founding ML Engineer with 3+ years of experience in software development and a strong focus on machine learning, LLMs, and generative AI. This is an exciting opportunity to join an early-stage AI startup, leading cutting-edge AI innovations and playing a key role in shaping ML infrastructure and products.

Requirements

Key Responsibilities

  • Design, develop, and deploy ML models with a focus on LLMs, generative AI, and model fine-tuning.
  • Build and optimize scalable ML pipelines for efficient data processing and model training.
  • Work with large-scale datasets, enhancing feature engineering and training workflows.
  • Collaborate with cross-functional teams to seamlessly integrate AI solutions into production environments.
  • Stay updated with the latest advancements in AI/ML, researching and implementing innovative techniques.
  • Optimize model inference performance to ensure efficiency in real-world applications.
  • Implement robust monitoring, evaluation, and continuous improvement processes for deployed models.

What We’re Looking For

  • 3+ years of hands-on experience in software development, with a strong focus on machine learning.
  • Proficiency in Python and deep understanding of ML frameworks such as TensorFlow, PyTorch, and Hugging Face.
  • Experience working with LLMs, generative AI, and model fine-tuning is highly preferred.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and ML infrastructure.
  • Understanding of MLOps best practices, including model versioning, monitoring, and deployment.
  • Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Engineering Feature engineering GCP Generative AI LLMs Machine Learning ML infrastructure ML models MLOps Model inference Model training Pipelines Python PyTorch TensorFlow

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India

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