machine learning engineer

We are seeking an experienced Senior ML Engineer to join our AI Platform Engineering team. This pivotal role involves designing, developing, and optimizing machine learning models, with a particular focus on Large Language Models (LLMs) for our advanced AI Services platform. You will be instrumental in fine-tuning and quantizing LLMs, and developing robust ML models (especially using the Hugging Face Transformers library) for various Natural Language Processing (NLP) tasks, ensuring high performance, scalability, and efficiency.

Your Day-to-Day  

• Design, develop, and deploy machine learning models, with a strong emphasis on LLMs for diverse NLP applications.

• Lead the fine-tuning of pre-trained LLMs for specific downstream tasks, optimizing for performance and domain relevance.

• Implement and explore model quantization techniques to reduce model size and inference latency, enabling efficient deployment on various hardware.

• Develop and optimize ML models for NLP tasks using the Hugging Face Transformers library (e.g., text classification, named entity recognition, sentiment analysis, summarization).

• Conduct thorough experimentation and evaluation of model performance, ensuring robustness and accuracy.

• Collaborate with data scientists and software engineers to integrate ML models into production systems and MLOps pipelines.

• Research and stay up-to-date with the latest advancements in LLMs, NLP, and machine learning optimization techniques.

• Maintain comprehensive documentation for models, experiments, and deployment procedures.

Your Key Strengths

• 3+ years of experience in machine learning engineering or a related field.

• Expert knowledge of machine learning fundamentals, deep learning architectures, and NLP concepts.

• Strong practical experience with Large Language Models (LLMs), including their architecture, training, and inference.

• Proven experience in fine-tuning LLMs for specific tasks and datasets.

• Hands-on experience with model optimization techniques such as quantization, pruning, and distillation.

• Proficiency with the Hugging Face Transformers library and its ecosystem for developing NLP models.

• Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.

• Experience with MLOps practices, including model versioning, deployment, and monitoring.

• Familiarity with cloud platforms (e.g., AWS, Azure, preferably GCP) for ML model deployment.

• Solid understanding of data preprocessing, feature engineering, and evaluation metrics for NLP tasks.

Why You’ll Love Working with Us  

🍽️ Lunch is On Us: Monthly allowance to fuel up with your favorite meals.  

🏥 Health First: Private health and life insurance—because your well-being matters.  

💻 Gadgets Galore: Get your own laptop and a phone plan to keep you connected.  

📚 Learn Without Limits: Unlimited access to Udemy and all the training you need to grow and thrive.  

🚀 Career Rocket Fuel: Personalized coaching and mentorship to level up your skills and hit your career goals.  

🎯 Work with the Best: Step up your game by collaborating with industry-leading clients.  

🌈 Celebrate Diversity: Join a team that values and thrives on different perspectives.

💸Performance pays off: Annual discretionary bonus based on your contributions throughout the year.  

Eager to Join Us? Jump in and apply today—we’re excited to see what you can bring to our team!