Datatonic

AI & Data

SeniorEngineer

gothenburg, nebraska, united states FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Engineer at Datatonic. Skills: Python, Machine Learning, Google Cloud. Develop models. Conduct ML experiments”

What You'll Achieve.

future-proof operations; unlock actionable insights; stay ahead of curve

Industry & Context.

AI & Data
Problems you'll solve

solve problems

What They're Looking For.

Must Have

Python, Google Cloud, AWS, Azure, SQL, GPUs, distributed computing systems, web services, Flask

Nice to Have

consulting background, Scale-up experience, Google Cloud Professional Machine Learning Engineer, AWS Solution Architect

What You'll Do.

Conduct ML experiments

Leverage generative AI

Optimise ML solutions

Implement custom code

Ensure efficient data flow

Automate ML workflows

Create ML architectures

Build production-grade software

How You'll Work.

Team & Collaboration

Lead client discussions; Build trusted relationships

Communication Scope

communication; presentation

Process & Methodology

Scoping projects, Overseeing delivery

Full Job Description

Senior Machine Learning Engineer SHAPE THE FUTURE OF AI & DATA WITH US At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.   YOUR MISSION As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes. Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud. WHAT YOU’LL DO - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. - Data Science: Conduct ML experiments using programming languages with machine learning libraries. - GenAI: Leverage generative AI to develop innovative solutions. - Optimisation: Optimise machine learning solutions for performance and scalability. - Custom Code: Implement tailored machine learning code to meet specific needs. - Data Engineering: Ensure efficient

Free ATS check

Applying for this Senior Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Ashby

  • Ashby is a fast modern ATS — most applications take under 3 minutes.
  • The resume parser is strong; verify parsed experience dates and job titles.
  • Custom screening questions are often scored algorithmically — answer completely.
  • Location field affects geo-based screening; use your actual metro area.

ANONYMOUS · UNFILTERED

What do employees actually say about Datatonic?

Real rants from real employees. Read before you apply.

Read Company Rants →