In the last year at Loka, our teams have advised more than 400 businesses in GenAI adoption and engaged in more than 100 projects, ranging from cancer research to reading instruction for kids. We’re using modern technologies to support an incredible variety of meaningful projects, all while proving work/life balance isn’t a catchphrase, it’s our culture. Join our team, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of. And enjoy every other Friday off 😎

Now we’re seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with the ML crew but to elevate it to new heights.

The Role

Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
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.
Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
Drive architectural decisions and contribute to high-level planning and strategy.
Direct report to ML leads.
Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
Write and maintain technical documentation.
Provide guidance and mentorship to junior ML engineers within the team.
Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills

4+ years of ML engineering experience
Bachelor’s degree in Computer Science or related
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, and implementing common patterns like RAG and NLQ
Client-facing experience
Familiarity with containerization and orchestration tools

Additional Requirements

Excellent English
Clean criminal record
CV sent in English

Not Required but Nice to Have

Experience with MLOps, preferably in AWS (e.g: Sagemaker), as well as standards tools (e.g. MLFlow)
Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills

Curiosity: Strive to learn and grow into different industries with a modern tech stack.
Autonomy and positivity: We’re a fully remote, globally distributed team.
Teamwork: Enjoy a collaborative approach.
Adaptability: Operate with a startup mindset and move at a startup pace.

Benefits

Every other Friday off (26 extra days off a year)
Remote and flexible
Explore and Relocation programs (three months work abroad or full international relo)
Paid sick days and local holidays
Premium mental health subscriptions
Access to LokaLabs™, our internal research and development program
LokaLabs incubator
Fitness subscription
Mental wellness programs
Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.

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