Machine Learning Jobs in North Macedonia.
All active Machine Learning roles based in North Macedonia.
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Graphic Designer, Data Visualization (Remote, Contract)
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OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
Join Us as a Graphic Designer with a Focus on Data Visualization!
At INFUSE Academy, we turn complex ideas into visuals that make people stop and think. We are looking for a Graphic Designer who leads with clarity, communicates through imagery, and can distill a dense concept into something a learner understands at a glance.
If you can explain the impact of climate change in one image, you are the kind of thinker we want.
What you will bring:
- Proficiency in Figma, Illustrator, and Photoshop
- Solid foundation in composition, typography, and color theory
- Experience with data visualization: charts, infographics, diagrams that inform rather than decorate
- A visual storytelling instinct: you find the narrative in the numbers
- Genuine enthusiasm for AI tools -- you follow what is happening, you experiment, and you actively look for ways to co-create with AI rather than just use it
- Attention to detail and the self-organization to manage multiple projects
What you will do:
- Translate instructional content into visual concepts and storyboards
- Design static graphics, infographics, and course assets that carry meaning on their own
- Collaborate with instructional designers to find the best visual angle for every learning objective
- Co-create with AI tools as a real part of your design process -- bringing new ideas, accelerating output, and pushing what is possible
What you’ll love about working with us:
- A fun, diverse team of professionals from every corner of the globe
- A never-ending learning journey (because who wants to stop growing?)
- Career growth opportunities with regular reviews, your success is our success!
- Timely, market-range compensation (we make sure your wallet’s happy, too)
- Paid time off for U.S. public holidays, because rest is as important as work
- Summer Fridays with shorter hours, because everyone deserves a little sunshine
- Access to top-tier tools like Adobe and Figma Pro, so you can create like a pro
If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you!
We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.
Ready to apply?
Apply to INFUSE
Turn it up to 11 as a Data Consultant!
Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.
We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.
We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:
- Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset
- Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs
- Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide events
What you can expect in this role:
- Discover and understand client needs by performing stakeholder interviews, data profiling, and process mapping
- Analyze raw data sets, data flows, and business logic - evaluating for insights, trends, accuracy, and performance
- Design, build, and implement BI reports and dashboards using Tableau, Power BI, and other visualization tools
- Interface with the client throughout the delivery process
- Collaborate with our Digital, Design, and Engineering practices to deliver end-to-end solutions
- Apply an Agile methodology to manage client workstreams
Tools for success:
- At least 5 years of consulting experience with a focus on data analysis
- Extensive experience in SQL and Data Visualization tools such as Tableau, PowerBI, Qlik, or equivalent for building dashboards and reports.
- Advanced Data Analysis & Statistics skills.
- Familiarity with ETL tools & Data Pipelines
- Proficient in writing and optimising SQL queries and knowledge on Databases
- Strong programming skills in Python for data wrangling and advanced analytics.
- Experience with platforms like Databricks / Snowflake, / Redshift / BigQuery, or similar for datawarehousing
- Understanding ML: regression, classification, clustering, and model evaluation.
- Skills in ensuring data integrity, security, and compliance with regulations.
- Ability to stay organized and flexible
- Excellent communication skills (in English)
- Experience collaborating with and presenting work to clients and stakeholders
- Comfortable working cross-functionally in fast paced environments
The 11 in our name is significant in that it represents going above and beyond expectations…in everything we do. Our focus is on the perfect alignment of our proven, talented consultants with your most strategic and innovative initiatives.
We help our clients by altering the DNA of companies to break down barriers so that everything (and everyone) is integrated and works together beautifully. We help companies become outcome driven and build empathetic experiences that delight their customers and employees.
Our services and unique consulting model allow us to support our customers from upfront strategy and design to implementation and support. Our mix of onshore and offshore options allows us to provide the highest level of value to our clients, the most effective and efficient manner of delivery, and unparalleled client service.
This role is for Inspajr Eleven dooel Tetovo, an organization fully owned and operated in the Republic of Macedonia (FYROM) and the role requires on-site working hours.
Ready to apply?
Apply to Inspire11
Machine Learning Engineer
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Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.
Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)
The Role
- Understanding of statistical, ML and deep learning algorithms
- Analyze errors of models and design strategies to overcome them
- Deploy, maintain, and upgrade ML models and pipelines
- Ambition to learn and grow into different industries with a modern tech stack
- Autonomy, adaptability and positivity (fully remote and globally distributed team)
The Required Hard Skills
- Bachelor's Degree in Computer Science or related
- 2+ years of ML engineering experience
- Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV written in English
Bonus Points for Experience with…
- Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
- MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
- Visualizing and manipulating big datasets
- NLP
The Required Soft Skills
- Curiosity—Ambition to learn and grow into different industries with a modern tech stack
- Autonomy and positivity—We’re a fully remote, globally distributed team
- Teamwork—Enjoy a collaborative approach
- Adaptability—Operate with a startup mindset and move at a startup pace
The Benefits
- Every other Friday off (26 extra days off a year)
- Remote and flexible
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka, Inc
Machine Learning Engineer
Share this job
Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.
Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)
The Role
- Understanding of statistical, ML and deep learning algorithms
- Analyze errors of models and design strategies to overcome them
- Deploy, maintain, and upgrade ML models and pipelines
- Ambition to learn and grow into different industries with a modern tech stack
- Autonomy, adaptability and positivity (fully remote and globally distributed team)
The Required Hard Skills
- Bachelor's Degree in Computer Science or related
- 2+ years of ML engineering experience
- Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV written in English
Bonus Points for Experience with…
- Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
- MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
- Visualizing and manipulating big datasets
- NLP
The Required Soft Skills
- Curiosity—Ambition to learn and grow into different industries with a modern tech stack
- Autonomy and positivity—We’re a fully remote, globally distributed team
- Teamwork—Enjoy a collaborative approach
- Adaptability—Operate with a startup mindset and move at a startup pace
The Benefits
- Every other Friday off (26 extra days off a year)
- Remote and flexible
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka® Inc
Senior Machine Learning Engineer
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Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?
If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.
Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights.
Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters.
We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too.
The Role
- Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
- Understand business objectives and develop models that help achieve them, along with metrics to track progress.
- Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
- Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
- Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
- Analyze model errors and design strategies to overcome them.
- Deploy, maintain and upgrade ML models and pipelines.
- Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
- Drive architectural decisions and contribute to high-level planning and strategy.
- Direct report to ML leads.
- Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
- Write and maintain technical documentation.
- Provide guidance and mentorship to junior ML engineers within the team.
- Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
- Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.
Required Hard Skills
- 4+ years of AI/ML engineering experience
- Bachelor’s degree in Computer Science or related
- Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.)
- Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
- Client-facing experience
- Familiarity with containerization and orchestration tools
Additional Requirements
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV sent in English
Not Required but Nice to Have
- Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse)
- Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus
Required Soft Skills
- Curiosity: Strive to learn and grow into different industries with a modern tech stack.
- Autonomy and positivity: We’re a fully remote, globally distributed team.
- Teamwork: Enjoy a collaborative approach.
- Adaptability: Operate with a startup mindset and move at a startup pace.
Benefits
- Every other Friday off (26 extra days off a year)
- Remote-first culture
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka, Inc
Senior Machine Learning Engineer
Share this job
Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?
If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.
Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights.
Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters.
We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too.
The Role
- Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
- Understand business objectives and develop models that help achieve them, along with metrics to track progress.
- Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
- Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
- Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
- Analyze model errors and design strategies to overcome them.
- Deploy, maintain and upgrade ML models and pipelines.
- Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
- Drive architectural decisions and contribute to high-level planning and strategy.
- Direct report to ML leads.
- Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
- Write and maintain technical documentation.
- Provide guidance and mentorship to junior ML engineers within the team.
- Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
- Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.
Required Hard Skills
- 4+ years of AI/ML engineering experience
- Bachelor’s degree in Computer Science or related
- Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.)
- Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
- Client-facing experience
- Familiarity with containerization and orchestration tools
Additional Requirements
- Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
- CV sent in English
Not Required but Nice to Have
- Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse)
- Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus
Required Soft Skills
- Curiosity: Strive to learn and grow into different industries with a modern tech stack.
- Autonomy and positivity: We’re a fully remote, globally distributed team.
- Teamwork: Enjoy a collaborative approach.
- Adaptability: Operate with a startup mindset and move at a startup pace.
Benefits
- Every other Friday off (26 extra days off a year)
- Remote-first culture
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Business English classes program
- Continuous Learning Support
- Fitness and/or Mental Health Subscriptions
- Access to LokaLabs™, our internal research and development program
- Defined career path
Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
Ready to apply?
Apply to Loka® Inc