TensorFlow Jobs in Serbia.
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Sr. Engineer, Software - AI Compiler
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.
This role is hybrid based in Belgrade, Serbia.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are:
- A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
- Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
- Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
- A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.
What We Need:
- A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
- Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
- Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.
What You Will Learn:
- How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
- Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
- New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
- How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Machine Learning Engineer
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.
Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we’re looking for world-class Machine Learning Engineers to help us keep pushing the boundaries of biometric technology.
The Impact You’ll Make
As a Machine Learning Engineer at Incode, you’ll design, build, and deploy the deep learning models that power our most advanced technologies — from facial recognition and liveness detection to document processing and ID validation.
You’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures. Your work will directly influence how people verify their identity safely, seamlessly, and securely around the world.
What You’ll Own & Drive
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Innovate & Optimize - Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validation.
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Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models.
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Research & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions.
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Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows.
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Collaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environment.
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Mentorship & Leadership - Provide technical guidance, share best practices, and contribute to building a culture of innovation and continuous learning.
Your Background
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5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.
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Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
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Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI).
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Specialized expertise in at least one of the following areas:
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Facial Recognition – face recognition, age estimation, facial attributes analysis.
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Liveness Detection – facial authentication, anti-spoofing, and anti-deepfake defense.
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Document Processing – OCR-based extraction, document analysis, and quality assurance.
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ID Verification – biometric data authentication and document integrity validation.
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Proven ability to design and maintain end-to-end ML pipelines.
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Track record of research contributions or publications in deep learning and computer vision.
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Excellent communication and collaboration skills across cross-functional teams.
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Passion for mentoring talent and thriving in both long-term research and rapid iteration cycles.
The Qualities That Set You Apart
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Deep curiosity and technical excellence in AI and computer vision.
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Builder mindset with a drive to deliver real-world impact through applied research.
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Strong analytical thinking balanced by practical execution.
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Collaborative spirit and ability to simplify complex ideas for diverse audiences.
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Commitment to innovation, scalability, and continuous improvement.
Why Incode?
- Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically.
- Rocket-Ship Growth - Join at a defining moment where your work compounds in global impact.
- Elite Team & Technology - Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI.
- Ownership & Autonomy - Operate with the freedom to innovate, test, and deploy your ideas end-to-end.
- Global Impact - Your models will power secure, frictionless identity verification experiences across continents.
Aspects of our Culture:
- High performance
- Freedom & responsibility
- Context, not control
- Highly aligned, loosely coupled
- Continuous Feedback
- Promotions & Development
- Learn more about Life at Incode!
Benefits & Perks:
- Flexible Working Hours & Workplace
- Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Ready to apply?
Apply to Incode Technologies
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
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
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
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