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MLOps Engineer - 4 Day Week + Remote

Shape Construction

India (Remote)

MLOps Engineer - 4 Day Week + Remote

3 Weeks ago • 2-5 Years

About the job

Summary_{By Outscal}

Shape.Construction is looking for an MLOps Engineer with strong experience in deploying Large Language Models (LLMs) into production. The ideal candidate will have a deep understanding of LLMs, fine-tuning, and integration with existing systems. This is a remote, 4-day week role with a focus on continuous learning and personal development.

About the job

Ever wondered how it would be to revolutionise one of the least digitised industries in the market, alongside a growing and switched-on team? Read on!

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We are Shape.Construction !

We are digitising the largest and most fundamental industry in the world, the industry that literally builds the foundations of the civilisation we all depend on to spare us from a brutal hunter-gatherer life: CONSTRUCTION

It is one of the least digitised industries in the world but also the largest – 1 in 9 people globally work in the construction industry and it constitutes 11% of global GDP.

Improving construction strengthens the very foundation of human civilisation. ( Watch our short film about it).

We got our start as a high-end construction project management consultancy. As a consultancy, we are focused on genuinely upgrading the way construction projects are delivered. We then take the deep understanding of the projects we work on to develop construction management software products that anyone can use to deliver their projects better.

We are building a full suite of products one module at a time – kind of like office 365 but for construction management. ( Check out Shape, our construction management tech and watch this video about what we are doing )

The core of all this is our true secret sauce; people. We only recruit the very best both in capability and personality. We are deeply focused on designing a new type of organisation that is optimised for the flourishing of the people in the team first and foremost. People that join us develop fast as a whole person in ways they never imagined. ( Read more about our vision and mission ).

This approach has allowed us to grow from just 2 people in 2017 to over 190 today (including consultancy) and we are still very much at the beginning! Joining us isn’t just some “job”, it is a transformative educational experience. We challenge you to be your best self in all aspects of life.

Our vision is designed to align how we operate with the fundamental aspects that enable anyone to have a fulfilled life:

Connects us with meaningful relationships

Inspires us to develop ourselves to become better humans

Empowers us to pursue our own learning adventures

4 core values for a good life

We believe a life of human flourishing is all about meaningful relationships with others and challenging yourself to create a positive impact. Our four core values are grow yourself, care about people, execute to greatness and build civilisation. This philosophy goes much deeper and you can see more on our website.

We are achieving this vision through the following two missions:

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

Laminar Projects is proud to be recognized as one of the UK’s Best Workplaces in Construction, Engineering & Property™ for 2024! Join a team where learning, collaboration, and growth are at the core of everything we do, and where solving big challenges is part of the fun.

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The Role

Purpose of the role

We 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.

Team

Join 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 objectives

Effective 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 Responsibilities

Collaborate 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 Capabilities

As 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.

As a candidate, you should have:

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 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

At Shape we value diverse experiences and perspectives, empowering each member to contribute their unique expertise towards our collective success, so if you don't think you meet all the criteria but still are excited about this role we encourage you to apply anyways!

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Salary And Benefits

Standard Stuff

Competitive salary dependent on location and capability

Paid Annual Leave 20 days + statutory Bank Holidays

In-House Coaching Sessions

Discretionary bonus scheme for all team members.

The Life-Changing Stuff

4 Day Weeks : That’s right, 4 day weeks

Flexibility: Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected.

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

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Application

We get thousands of applications so please write us a letter as part of your application explaining:

Why do you want to join us?

If you joined, where do you think you could make the most impact and how?

We aren't a giant faceless corporation; we really care about the people who want to join our team so all applications will be read thoroughly by our key leaders.

In terms of application, we usually start with an intro call to tell you what we are all about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself.