ML Engineer

🚀 Machine Learning Engineer | Full Remote

Are you passionate about building intelligent systems and working on cutting-edge AI projects, including Large Language Models (LLMs)? This is your chance to join a forward-thinking team!

🔍 What are we looking for?

An experienced Machine Learning Engineer with a solid foundation in developing and deploying ML models.

📌 Key Responsibilities:

• Design and deploy machine learning models, especially in NLP and LLM applications.
• Optimize workflows such as prompt engineering and retrieval-augmented generation (RAG).
• Develop and maintain scalable data pipelines and ML workflows for model training and deployment.
• Use cloud-based infrastructure (e.g., Azure Kubernetes Service) to efficiently manage ML solutions.
• Collaborate with cross-functional teams to design and implement microservices for ML systems.
• Monitor and troubleshoot deployed systems to ensure performance and reliability.

🎯 Required Skills:

• Strong programming skills in Python, TypeScript, and familiarity with frameworks like LangChain.
• Solid object-oriented programming (OOP) skills and ability to write high-quality, maintainable code with comprehensive tests.
• Experience deploying ML models and building production-ready data pipelines.
• Knowledge of LLMs, NLP techniques, and related tasks like prompt engineering and chunking.
• Proficiency with cloud platforms (e.g., Azure) and container orchestration tools (e.g., Kubernetes).
• Familiarity with workflow orchestration tools such as Apache Airflow.

🎓 Preferred Qualifications:

• Experience with microservices architecture and distributed systems.
• Familiarity with DevOps practices, including CI/CD pipelines and Docker.

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 4-5 years of professional experience in machine learning or AI-focused roles.