Lead Machine Learning Engineer(MLOps)

Division: Information Science

Who’re Tide:

At Tide, we’re on a mission to save lots of companies money and time. We’re the main supplier of UK SME enterprise accounts and one of many fastest-growing FinTechs within the UK. Utilizing the most recent tech, we design options with SMEs in thoughts and our member-driven monetary platform is  reworking the enterprise banking market. Not solely do we provide our members enterprise accounts and associated banking providers, but in addition a complete set of extremely linked admin instruments for companies. 

Tide is about doing what you’re keen on. We’re on the lookout for somebody to be part of us on our thrilling scale up journey and be part of one thing particular. We’re wanting passionate Tideans to drive innovation and assist construct a best-in-class platform to assist our members. You’ll be comfy in ambiguous conditions and can be capable of navigate the evolving FinTech setting. Think about shaping how hundreds of thousands of Tide members uncover and interact with enterprise banking platforms and constructing this on a world scale.

What we’re on the lookout for:

You’re a seasoned information engineering skilled who’s keen about constructing scalable information options and galvanizing others to be taught extra. You need to be part of a fast paced firm and form our structure to assist us scale. You might have an agile mindset and need to ship worth incrementally.
You’ll be a part of the information management staff and work carefully with our analytics, information science and governance groups so as to ship information options that generate enterprise worth.

As a Lead Machine Studying Engineer you’ll be:

• Creating and sustaining ML pipelines to operationalize ML fashions.
• Growing & deploying low latency and extremely scalable dockerized micro providers.
• Collaborating in cross-functional software program/structure design classes to search out the most effective options for the issues that we face.
• Working with Peer ML engineers who will probably be liable for scaling and deploying machine studying fashions for Tide.
• Taking part in an agile growth staff that delivers worth iteratively.
• Constructing ML platform to hurry up develop & deploy cycle and monitoring of fashions in manufacturing.

What makes you an excellent match: 

• You might have a minimum of 7+ years of growth expertise
• You might have expertise main a staff of backend builders and/or ML engineers, teaching greatest practices and architecting options.
• You might have intensive growth expertise in Python, together with growth of microservices utilizing e. g. Flask, Django, and many others.
• You might have expertise in constructing information options, each batch processes and streaming purposes.
• You might be aware of event-driven designs, particularly you’ve got labored with Kafka, Pulsar, RabbitMQ, and many others. earlier than.
• You might have expertise working in an agile staff, devoted to producing worth in an iterative vogue.
• You might have labored with characteristic retailer , ML Observability  and automatic MLOps techniques 
• Expertise in batch processing frameworks.
• You might have excessive growth requirements, particularly for code high quality, code critiques, unit testing, steady integration and deployment.
• You might have expertise working with machine studying fashions earlier than and know in regards to the challenges confronted when placing these into manufacturing.
• Enterprise-level of English and good communication expertise.
• Expertise with Git and Docker.
• Expertise working with ML platforms is a plus.

What you’ll get in return: 

Make work, be just right for you! We’re embracing new methods of working and assist versatile working preparations. With our Working Out of Workplace (WOO) coverage our colleagues can work remotely from residence or anyplace of their assigned Indian state. Moreover, you’ll be able to work from a special nation or Indian state for 90 days of the yr. Plus, you’ll get:

• Aggressive wage
• Self & Household Well being Insurance coverage
• Time period & Life Insurance coverage
• OPD Advantages
• Psychological wellbeing by means of Plumm
• Studying & Improvement Finances
• WFH Setup allowance
• 15 days of Privilege leaves
• 12 days of Informal leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D actions
• Share Choices

Tidean Methods of Working 

At Tide, we’re Member First and Information Pushed, however above all, we’re One Staff. Our Working Out of Workplace (WOO) coverage permits you to work from anyplace on the planet for as much as 90 days a yr. We’re distant first, however while you do need to meet new folks, collaborate along with your staff or just hang around along with your colleagues, our workplaces are at all times accessible and geared up to the best normal. We provide versatile working hours and belief our workers to do their work effectively, at occasions that go well with them and their staff.

Tide is a spot for everybody

At Tide, we imagine that we will solely succeed if we let our variations enrich our tradition. Our Tideans come from quite a lot of backgrounds and expertise ranges. We think about everybody no matter their ethnicity, faith, sexual orientation, gender identification, household or parental standing, nationwide origin, veteran, neurodiversity standing or incapacity standing. We imagine it’s what makes us superior at fixing issues! We’re One Staff and foster a clear and inclusive setting, the place everybody’s voice is heard.

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