Key Facts

Remote From:

Ukraine , Poland , Romania , Spain

Full time

Senior (5-10 years)

English

Hard Skills

Machine Learning

Other Skills

•
Teamwork
•
Communication

Roles & Responsibilities

Experience as a Senior Machine Learning Engineer with production-ready ML solutions
Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch)
Experience deploying ML models to production and working with cloud platforms (AWS/Azure/GCP)
Ability to collaborate with cross-functional teams and communicate ML concepts to non-technical stakeholders

Requirements:

Design, develop, and deploy scalable ML models and data pipelines
Translate business problems into ML solutions and collaborate with product and engineering teams
Monitor and improve model performance in production, establishing metrics and monitoring
Mentor junior engineers and contribute to architectural decisions and best practices

Innovecs

Information Technology & Services

About Innovecs

Innovecs is a global digital services company. For over 13 years, we've been developing software that leads businesses to success. Innovecs is a trusted partner for companies in 11 countries, including the leading markets of the US, the UK, the EU, Israel, Australia, and Ukraine within key industries: ▪ Supply Chain ▪ Games ▪ High Tech ▪ Health Tech ▪ Collaboration Tech Our dynamic community of 650+ software engineers, architects, and other talented individuals is spread across 27 countries and 4 regions and represents a diverse, flexible team. For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US. Additionally, it has been recognized in IAOP’s ranking of the best Global Outsourcing service providers and is featured in the Global Top 100 Inspiring Workplaces Ranking. Recently, Innovecs won in the Best Employee Well-being Initiative category at the Employer Brand Management Awards (EBMA) 2023. Earlier, we were honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing category and won gold at the Employer Brand Management Awards. Here is a snapshot of our journey in numbers: ▪ Projects delivered: 100+ ▪ Happy clients: 100+ ▪ Team members: 650+ ▪ 3-year growth: 127% ▪ NPS Score: 92% With its headquarters in Miami, USA, Innovecs remains committed to embracing diversity and fostering an inclusive environment that values a variety of backgrounds, experiences, and perspectives.

Company type: SME

Industry: Information Technology & Services

Founded: 2018

Company size: 501 - 1000

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Job description

We are seeking an experienced and talented Senior Machine Learning Engineer

Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming.
For the fifth year in a row, Innovecs is included in the Inc. 5000 and recognized in IAOP’s ranking of the best global outsourcing service providers. Innovecs is featured in the Global Top 100 Inspiring Workplaces Ranking and won gold at the Employer Brand Management Awards.

Our value to you:

Flexible hours and remote-first mode
Competitive compensation
Complete Hardware/Software setup – anything you need for work
Open-door culture, transparent communication, and top management at a handshake distance
Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
Access to our learning & development center: workshops, webinars, training platform, and edutainment events
Virtual team buildings and social activities

If you feel like you’re the perfect match for this role, drop us your CV!

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

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