Machine Learning Engineer

At SILVARE, we're a dynamic team achieving remarkable results. We've built a reputation for delivering fast, impactful results that keep our clients coming back—many of whom are some of the biggest names in tech. What makes us different? We're easy to talk to, we get straight to the point and we're all about making things happen.

We're proud of the strong relationships we build, both with our clients and our team. We believe in keeping our people happy, whether it's through improving benefits, having open conversations about their projects or just being there when they need us. It's this supportive environment that helps us—and our people—thrive.

If you're ready to work on exciting projects, grow alongside industry leaders and make a real impact, we'd love to have you join us at SILVARE.

The Role in a Nutshell

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

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SILVARE is an Equal Opportunity Employer. SILVARE does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need. #LI-Hybrid