MLOps Engineer
4 weeks ago
Purpose of the roleWe seek a self-sufficient MLOps Engineer with a deep understanding and hands-on experience in deploying Large Language Models (LLMs) into production. This role requires an individual who can independently handle the complexities of LLMs, from fine-tuning to integration with existing systems, while closely collaborating with the product and engineering teams to ensure seamless implementation and optimisation.TeamJoin a team of forward-thinking software engineers and product strategists. While you will be working autonomously on the deployment and management of LLMs, coordination with our Product Management and Site Reliability Engineering (SRE) teams will be essential for integrating these models into our broader platform.Your top 3 objectivesEffective Deployment of LLMs:
Successfully deploy LLMs into production, ensuring they align with our business needs and human values.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.Your top 5 responsibilitiesCollaborate Scope Definition:
Engage with product team to define ML project use cases precisely, setting a clear direction for technical implementation.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.Your CapabilitiesAs an MLOps Engineer focused on LLMs, you combine deep technical expertise with a proactive approach to problem-solving. You are adept at working independently yet understand the importance of aligning your work with broader team objectives.Must-Have (The fundamentals)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.Nice to Have (If you don’t have it now you will after joining)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.Shape isn’t the place for you if any of the following is true:You want an easy, chilled-out role without much challengeYou like to be the smartest person in the roomYou don’t like continuously receiving honest candid feedbackYou prefer to do your own thing rather than work with a team_________________________________________________________________________________________Frequently Asked QuestionsCan you tell me more about what the role is like?We are in scale up mode so it will be a pretty full on role with more things to do than time available. This is why it will be important to prioritise and also develop capacity in the team by hiring and holding the team to the highest standards. We don’t like to mess about so you will need to be a very high performer who only wants to work with others of your ilk.We are growing rapidly so that means you role will grow rapidly too, you will need to keep up and constantly be looking 1-2 years ahead.Where would I be working?All of our roles are 100% remote and home-based. However, if you would like to work in a co-work space to get out of the house we can arrange that. If you are in one of our locations with offices you can come as often as you like.___________________________________________________________________________________Salary and BenefitsStandard StuffPaid Annual Leave 25 days + statutory Bank HolidaysFlexible hoursCompensation for this role depends on your capability level and will likely fall in the INR 13,495,125 to 38,957,625 annual range.The Life-Changing Stuff4 Day Weeks
: That’s right, 4 day weeksGrow 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 existsBe 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 unboundedLong-term impact:
We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast usA 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________________________________________________________________________________________
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