We are seeking an expert in Machine Learning Engineering to join our team. The ideal candidate will have a strong background in designing and implementing machine learning solutions across multiple projects. The role involves taking full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results. Additionally, the candidate will understand business objectives and develop models that help achieve them, along with metrics to track progress. - Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices. - Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively. - Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance. - Analyze model errors and design strategies to overcome them. - Deploy, maintain and upgrade ML models and pipelines. This is an exciting opportunity to work with a globally distributed tech consultancy based in Silicon Valley, where we empower clients to launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. Key Responsibilities: - Develop and deploy robust, scalable machine learning systems. - Work closely with cross-functional teams to ensure seamless integration of ML solutions. - Mentor junior engineers and contribute to high-level planning and strategy. - Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects. Required Skills: - 4+ years of experience in ML engineering - Bachelor's degree in Computer Science or related field - Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.) - Experience building GenAI solutions using LLMs, including frameworks like LangChain and LlamaIndex, prompt engineering, fine-tuning and serving models Benefits: - Remote work arrangement - Paid sick days and local holidays - Access to LokaLabs, our internal research and development program - Mental wellness programs - Defined career path