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ML Engineer (f/m/d)

About the role

Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.

We do this through a powerful suite of tools that combine ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. We see a high degree of usability as a key differentiator and have been investing in a world-class UI/UX from day one. To help us deliver our vision, we are seeking talented and experienced ML Engineer.

At Taktile, trustworthy AI & Machine Learning are core components of our value proposition. As ML Engineer, you will use the latest advancements in AI & Machine Learning to deliver custom AI solutions for our global enterprise customers in Banking & FinTech. You’ll collaborate closely with customers, product- and engineering teams to ensure we’re leveraging our core platform and custom AI solutions in the best possible way to address real-world challenges. Your work will impact millions of business-critical decisions every day.

If you are passionate about building custom AI products in production, thrive in a collaborative environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you.

ABOUT YOU

  • You have a background in statistics & machine learning

  • You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services)

  • You have experience building & running scalable services in the cloud

  • You’re a creative problem solver with a bias for action, eager to learn and deliver robust solutions fast

  • You thrive in a customer-facing role where you solve complex technical challenges while engaging closely with internal and external stakeholders to drive value.

What You'll Do

  • Use the latest advancements in AI & Machine Learning to automate complex workflows for the world’s leading FinTechs

  • Make a big impact by building apps & services that power millions of business-critical decisions each day.

  • Work hand-in-hand with our customers all the way from idea to production

  • Work closely with our product teams to develop and refine AI modules in our core platform

Ideal, But Not Required

You’ve had exposure to the financial services industry before and you’re excited to solve some of the industries most pressing problems with AI (fraud, money laundering, etc.)

Our Offer

  • Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here

  • Make an impact and shape the new data science function at a high-growth FinTech company

  • Experience a flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo

  • Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe including the founders of Looker, Datadog, GitHub, and UiPath

  • Enjoy bi-annual offsites where the entire company co-locates to collaborate in person

  • Receive a top-of-market equity and cash compensation package as well as access to a self-development budget that you can use to attend conferences, buy books or take classes

  • Work at our prime office locations in Berlin for two days per week or more

Our Stance

  • We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply

  • We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

About us

Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.

Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere. 

Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

Average salary estimate

$75000 / YEARLY (est.)
min
max
$65000K
$85000K

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What You Should Know About ML Engineer (f/m/d), Taktile

Are you passionate about applying your machine learning expertise to real-world problems? If so, Taktile is looking for a talented ML Engineer (f/m/d) to join our vibrant team in Berlin! At Taktile, we're on a mission to build the world's leading software platform dedicated to making critical and highly-automated decisions. Our cutting-edge product helps clients combat fraud, prevent money laundering, and support small businesses in gaining access to credit. Every day, we make millions of decisions globally! As an ML Engineer, you'll leverage the latest advancements in AI and machine learning to create custom solutions for some of the biggest players in the Banking and FinTech sectors. You will collaborate directly with our customers alongside product and engineering teams, ensuring we're maximizing our platform's potential to tackle real-world challenges. Your work will significantly influence critical decisions made at a large scale. We want someone who thrives in a collaborative environment, who is eager to make a tangible impact, and who revels in solving complex problems. If you have a solid background in statistics and machine learning, along with backend programming skills in Python, RESTful APIs, and AWS, we want to hear from you! Join us and help shape the future of financial services with innovative AI solutions that really make a difference.

Frequently Asked Questions (FAQs) for ML Engineer (f/m/d) Role at Taktile
What are the primary responsibilities of an ML Engineer at Taktile?

As an ML Engineer at Taktile, your main responsibilities include leveraging AI and machine learning advancements to automate workflows for top FinTech clients. You'll work closely with customers from ideation through to production, building applications that power millions of critical decisions. Collaborating with product teams to develop and enhance AI modules in our core platform is also a key part of your role.

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What qualifications are needed for the ML Engineer position at Taktile?

To qualify for the ML Engineer position at Taktile, candidates should possess a strong background in statistics and machine learning, combined with exceptional backend programming skills, particularly in Python, RESTful APIs, and AWS services. Experience in building scalable cloud services is also required, along with a proactive approach to problem-solving and a passion for customer engagement.

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What impact does an ML Engineer have at Taktile?

An ML Engineer at Taktile plays a pivotal role by building and implementing AI solutions that significantly improve the decision-making processes for clients in the financial sector. Your contributions will directly affect millions of daily business-critical decisions, making your work both impactful and rewarding.

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Is experience in the financial industry required for the ML Engineer role at Taktile?

While prior experience in the financial industry is ideal for an ML Engineer role at Taktile, it is not mandatory. We value diverse experiences and consider candidates from various backgrounds while looking for individuals eager to solve pressing industry challenges with innovative AI solutions.

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What kind of company culture can ML Engineers expect at Taktile?

At Taktile, ML Engineers can expect a collaborative, inclusive culture that encourages creativity and innovation. We operate with a flat hierarchy, allowing every team member to voice their ideas and contribute to the company's vision. We celebrate diversity and are committed to embracing and supporting underrepresented groups in tech.

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Common Interview Questions for ML Engineer (f/m/d)
Can you explain your experience with machine learning algorithms?

In answering this question, it's beneficial to describe specific algorithms you've worked with, such as decision trees, neural networks, or clustering techniques. Explain the context in which you applied these algorithms, the challenges you faced, and the outcomes, highlighting your analytical skills and practical experience.

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How have you managed a project from ideation to production?

Share a detailed account of a project you led, including the initial problem, how you developed the concept, the technologies you employed, and any collaborative efforts with stakeholders. Emphasize the importance of communication and adapting to feedback throughout the project lifecycle.

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What tools and programming languages do you prefer to use for machine learning and why?

Discuss your proficiency in various programming languages and tools, such as Python, R, TensorFlow, or PyTorch. Explain your reasons for preferring specific tools based on usability, efficiency, or previous project experiences, demonstrating your familiarity with the tech stack relevant to Taktile.

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How do you ensure the solutions you develop are scalable?

Describe your approach to designing scalable solutions, emphasizing your understanding of cloud services, microservices, and best practices for coding. Highlight any past experiences where you optimized a solution for higher performance or user demand.

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What steps do you take when tackling a complex problem with uncertain parameters?

Illustrate your problem-solving methodology, such as breaking the problem down into manageable parts, conducting data analysis, and iterating solutions. Provide an example where your approach yielded positive results in a previous role.

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How do you keep updated with advancements in machine learning?

Discuss your commitment to professional development, such as attending conferences, participating in online courses, or engaging with relevant literature. Illustrate your proactive approach to learning about new technologies and techniques in the field.

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Describe a time when you had to collaborate with cross-functional teams.

Share an example detailing how you worked with other disciplines, methods for fostering communication, and how you managed differing perspectives or priorities. Focus on the successful outcomes of this collaboration.

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What role does customer feedback play in your development process?

Highlight the importance of customer feedback in refining solutions by providing examples where feedback significantly influenced your work. Explain how you incorporate this feedback into your development cycles.

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What challenges do you foresee in the role of ML Engineer at Taktile?

Reflect on potential challenges such as ensuring data privacy, the need for continuous learning, or adapting to fast-paced changes in technology. Demonstrate a proactive approach to how you would tackle such challenges and contribute to Taktile's success.

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How would you explain a complex machine learning concept to a non-technical stakeholder?

Demonstrate your communication skills by describing your strategy to simplify complex concepts. Use analogies or visuals, engage the stakeholder's interest, and remain patient and open for questions to ensure understanding.

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Taktile is a software platform that allows businesses to build, run and evaluate automated decision flows quicker and more data-driven than ever before. In a world that is highly dynamic and competitive, Taktile helps companies bring products to m...

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Full-time, hybrid
DATE POSTED
January 10, 2025

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