Machine Learning Engineer

About Us
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 Μakes 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 team and our clients. 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 a supportive environment and culture that helps both 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.

Role Overview
We are looking for a Machine Learning Engineer for our client. In this role, you will be responsible for designing ML models, optimizing LLMs for NLP tasks, and deploying production-ready solutions across our AI platform. You will work closely with engineering and data teams to build scalable, high-performing ML capabilities.

What You'll Be Doing

• Design, develop, and deploy machine learning models, with a focus on LLMs and NLP applications.
• Fine-tune pre-trained LLMs for domain-specific use cases.
• Implement model optimization techniques such as quantization to improve performance.
• Build and maintain ML pipelines using Hugging Face Transformers, PyTorch, or TensorFlow.
• Run experiments, evaluate model performance, and ensure robustness and reliability.
• Collaborate with software engineers to integrate ML models into MLOps and production systems.

What You'll Bring

• 4+ years of experience in machine learning engineering or NLP-focused roles.
• Strong understanding of deep learning, LLMs, and modern NLP techniques.
• Hands-on experience fine-tuning LLMs and developing NLP models using Hugging Face Transformers.
• Strong Python skills and experience with PyTorch or TensorFlow.
• Familiarity with model optimization (quantization, pruning, distillation).
• Experience with cloud deployment (AWS, GCP, or Azure) and standard MLOps workflows.

Nice to Haves

• Experience with distributed training for large-scale models.
• Knowledge of model serving frameworks (FastAPI, TorchServe).
• Experience with Docker, Kubernetes, or large-scale ML deployments.

How We Support Your Growth

• Lunch Is On Us: Monthly allowance for your favorite meals.
• Health First: Private health & life insurance for peace of mind.
• Set Up For Success: The right tools to stay connected and perform your best.
• Curiosity Never Retires: Access to Udemy for unlimited learning.
• Career Rocket Fuel: Coaching and mentorship programs tailored to your goals.
• Work With The Best: Collaborate with industry-leading clients.
• Celebrate Diversity: Be part of a team that values every perspective.
• Performance Pays Off: Annual discretionary bonus based on yearly contributions.
• Social Responsibility: Give back through volunteering and sustainability.

Excited to Make an Impact? Apply today and be part of what we're building together

At SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.