Remote

Machine Learning Engineer

We are currently hiring an Machine Learning Engineer to help us with the upcoming projects. If you have experience working with data science and ML models, and like to analyse large databases, we're expecting your application! For this position, we're hiring a candidate from Croatia, Bosnia and Herzegovina or Serbia.

Zoran Štrbac

Talent Acquisition Specialist

Machine Learning Engineer

Position type: Full-time

Location: Remote

Seniority: Senior

We are currently hiring an Machine Learning Engineer to help us with the upcoming projects. If you have experience working with data science and ML models, and like to analyse large databases, we're expecting your application! For this position, we're hiring a candidate from Croatia, Bosnia and Herzegovina or Serbia.

About this position

In Speck, we are constantly working with innovative technologies, to make our client’s products better. Our current team is consisted of multidisciplinary team members, and currently we’re adding new addition to our team – Machine Learning Engineer.

The focus of this position will be on designing, developing, and deploying machine learning models for various applications, with an emphasis on processing and analysing large datasets we’re working on. You will work closely with cross-functional teams to build robust data pipelines, refine models for production, and enhance existing ML infrastructure.

As part of our ongoing collaboration with a client in the insurance industry, we will be discussing the specifics of the project, including its scope, objectives, and deliverables, as well as the details regarding the salary and compensation package, during the first call.

Core responsibilities

  • Designing and deploying machine learning models for production environments using Python and ML frameworks
  • Building and managing ETL pipelines, integrating models seamlessly into various applications
  • Optimising infrastructure for scalability, cost efficiency, and iterative improvement of models.
  • Working with data scientists, engineers, and third-party vendors on projects
  • Maintaining and improving existing ML infrastructure, implementing CI/CD processes for machine learning

Operational requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a similar quantitative field
  • 3+ years of relevant experience
  • Strong understanding of machine learning concepts, model lifecycle management, and data science libraries and frameworks
  • Proficiency in Python, with experience in data science and ML libraries such as TensorFlow, scikit-learn, or PyTorch.
  • Familiarity with AWS services like SageMaker, Lambda, EC2, and S3 is a plus
  • Experience in creating and managing ETL pipelines, data warehousing, and streaming data services.
  • Resourcefulness and creative problem mindset with a preference for minimal guidance in dynamic environments
  • Excellent communication and collaboration skills to work effectively with cross-functional teams

What you can expect from us

Competitive compensation

Aligned with market standards and tailored to reflect your working experience, ensuring fair and motivating renumeration.

Regular performance management

We facilitate regular check-ins and annual performance reviews to give you enough opportunity to share your feedback with us, but also help you foster your professional growth.

Collaborative work environment

Join a team of experienced specialists in an inclusive culture, where teamwork, honesty, hard work and diversity are valued and encouraged.

Top-notch equipment

To do great things – you need good equipment. We offer MacBooks, monitors, earphones, keyboards, and any other necessary gadgets you might need.

professional-development

Professional development opportunities

Benefit from a personal annual education budget, enjoy unlimited access to the Udemy course library, and explore a world of knowledge with unlimited Kindle books and Kindle devices.

Health and wellness

Sweat it out in the sauna, explore new group workout trends or work on your swimming laps with a Multisport card, and enjoy peace of mind with 10 days of fully paid sick leave per year.

Company-wide and team gatherings

Participate in three fully-funded annual gatherings, including a spring party, Christmas party, and a 3-day team-building weekend. Get to know your team members in-person through team-level gatherings.

Comprehensive support

Receive robust support from our administration, legal, and management teams, ensuring you have everything you need – whatever situation arises!

Hybrid work model

As a remote-first company, we offer a hybrid work arrangement, with our office in Zagreb always available for those who prefer an office environment.

About Speck

We are Speck - a design and development agency dedicated to solving business challenges and building successful digital products used daily by thousands. With a team of over 70 talented technology professionals and passionate digital natives, we craft solutions for global clients and our internal startups.

Some of the other products we have been working on

Peterson's

A leading provider of test preparation materials (GMT, SAT, TOEFL), career exploration tools, and scholarship searches. This platform serves as the primary source of information for over 500,000 students annually. Our team collaborates closely with Peterson’s founders, taking significant ownership in the product's development.

Syncplicity

A file-sharing platform focused on easy-to-use and secure information sharing.

Zoran Štrbac

Talent Acquisition Specialist

Machine Learning Engineer

Position type: Full-time

Location: Remote

Seniority: Senior

Apply Now →

In case you have the skills and knowledge mentioned above, don't hesitate - send us your CV and we will get back to you!

If you have any questions about this position and collaboration, shoot us a message at [email protected].

The position is open until filled.

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