MLOps Engineer - 4 Day Week + Remote (Philippines)
Laminar Projects
- Philippines
- Permanent
- Full-time
- Grow yourself – Your relationship with yourself
- Care about people – Your relationship with others around you
- Execute to greatness – Your relationship with your team
- Build civilisation – Your relationship with humanity and the world
- Connects us with meaningful relationships
- Inspires us to develop ourselves to become better humans
- Empowers us to pursue our own learning adventures
- To fully digitise the construction of human civilisation
- To create a new type of organisation that enables human flourishing while delivering a huge positive impact on society
- Optimise LLM Performance: Apply techniques such as reinforcement learning, instruction fine-tuning, and model optimization to enhance the performance and reliability of LLMs.
- Integrate LLMs into Applications: Seamlessly integrate LLMs with external applications, enabling them to contribute effectively to our suite of products.
- Lifecycle Management: Oversee the ML project lifecycle stages, including model selection, prompt engineering, fine-tuning, evaluation, and alignment with human feedback.
- Optimize and Deploy for Inference: Optimize LLMs for inference and deploy them into production, ensuring they meet the functional and performance criteria established during scoping.
- Enhance Applications with LLMs: Work within the software development team to tailor LLMs to our unique application requirements, ensuring that the models effectively power and enhance our products' functionality and user experience.
- Collaborate with the SRE Team: Work closely with the SRE team for the integration of LLMs into our cloud infrastructure, ensuring scalability and resilience.
- Expertise in LLM Deployment: Extensive experience in deploying and managing Large Language Models, including all aspects of fine-tuning and integration.
- Technical Proficiency: Strong skills in machine learning frameworks, cloud computing, and interacting with external applications.
- Independent Problem-Solver: Ability to tackle challenges autonomously, applying innovative solutions to complex problems.
- Continuous Learner: Commitment to staying abreast of the latest developments in LLMs and MLOps.
- Advance Model Optimization Skills: Knowledge of advance model fine-tuning and optimization techniques.
- Collaborative Approach: While working autonomously, the ability to effectively coordinate with other teams, like SRE, for seamless integration.
- Community Engagement: Active participation in relevant tech communities to bring in new insights and best practices.
- You want an easy, chilled-out role without much challenge
- You like to be the smartest person in the room
- You don’t like continuously receiving honest candid feedback
- You prefer to do your own thing rather than work with a team
- Paid Annual Leave 25 days + statutory Bank Holidays
- Flexible hours
- Compensation for this role depends on your capability level
- 4 Day Weeks: That’s right, 4 day weeks
- Grow your whole self: Our leaders are more like coaches and one of our main objectives is to give 5 years’ worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Shape exists
- Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Shape. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Shape, development is unbounded
- Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us
- A generous equity scheme: as a fast-growing consultancy as well as the fact we are building software this has a huge upside, particularly for people that stay with us through our growth
- Why do you want to join us?
- What do you think you bring to the team?