Jobs Lviv

We are looking for a Computer Vision Engineer with a background in classical computer vision techniques and hands-on implementation of low-level CV algorithms.

The ideal candidate will have experience with SLAM, Visual-Inertial Odometry (VIO), and sensor fusion.

We consider engineers at Middle/Senior levels — tasks and responsibilities will be adjusted accordingly.

Required Qualifications:

• 3+ years of hands-on experience with classical computer vision
• Knowledge of popular computer vision networks and components 
• Understanding of geometrical computer vision principles
• Hands-on experience in implementing low-level CV algorithms
• Practical experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Proficiency in C++
• Experience with Linux
• Ability to quickly navigate through recent research and trends in computer vision.

Nice to Have:

• Experience with Python
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with sensor fusion.

!!! Please note that this vacancy is only for candidates from Lviv or willing to relocate!!!

Job description

Reinvent Logistics with AI: Join Logivations as a Machine Learning Developer Are you passionate about AI? At Logivations, we develop some of the world’s most advanced AI-driven Real Time Digital Twins and robots for international companies. We’re on the lookout for both rising talents and seasoned experts to help us push the boundaries of machine learning and computer vision in logistics.

Why Join Logivations?

• Work on cutting-edge AI technologies used by top global brands.
• Contribute to AI-driven solutions that optimize real-world operations.
• Receive competitive compensation in euros and professional growth opportunities.
• Collaborate with a dynamic, future-focused team that encourages you to innovate and learn.

The Role: Machine Learning Developer

You’ll work directly with our AI team to boost system efficiency and create next-generation solutions. This role includes hands-on R&D and practical applications of AI and computer vision in logistics.

Why It’s Great for Juniors

• Mentorship & Learning: Work with experienced AI developers eager to share knowledge.
• Practical Exposure: Gain real-world experience with cutting-edge ML, CV, and robotics projects.
• Skill-Building: Develop in-demand Python, ML, and computer vision skills that accelerate your career.

Your Responsibilities

• Apply Machine Learning & Computer Vision to logistics challenges.
• Implement & Extend state-of-the-art deep learning research (e. g. Llama from Meta and ChatGPT from OpenAI)
• Design Novel Solutions with your unique expertise and creativity.
• Work on guidance of autonomous vehicles, camera-based object identification, and object tracking.
• Stay Updated on new research to continuously refine our AI toolkit.

Your Profile

• Educational Background: Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, Operations Research, or a related field.
• Technical Skills:
  • Proficient in Python; basic C++ is a bonus.
  • Comfortable with Linux, Bash, Docker.
  • Familiarity with ML libraries or frameworks (e. g. TensorFlow, PyTorch, Keras, TensorRT, gstreamer, pyro, Numpy, Fastapi) is a plus.
• Learning Mindset: Eager to explore new research and tackle complex problems.
• Creative Innovator: You love developing fresh ideas to drive real-world impact.
• Team Player: Strong communication skills and a desire to collaborate.
• English Proficiency: Intermediate or higher English for daily communication.

What We Offer

• High-Impact, Exciting Projects: Solve challenging problems that shape the future of AI and robotics.
• Competitive Salary in Euros: Reflecting your expertise and contributions.
• Flexible Work Setup: 3 days in the office, 2 days at a location of your choice.
• Professional Growth: Work on the latest research; grow your skill set with continuous learning.
• Travel Opportunities: Visit clients and see your solutions in action around the globe.
• Supportive Environment: Modern workspace, collaborative team culture, and direct project ownership.

Ready to Shape the Future of AI-Driven Logistics? Send your CV or resume to [apply]. We look forward to meeting you and exploring how your skills can power the next wave of AI innovation at Logivations.

We are looking for a Computer Vision Engineer with a background in classical computer vision techniques and hands-on implementation of low-level CV algorithms. 

The ideal candidate will have experience with Object tracking, Visual-Inertial Odometry (VIO) and sensor fusion. 

We consider engineers at Middle+ and Senior levels - tasks and responsibilities will be adjusted accordingly. 

Required Qualifications: 

• 2+ years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• Hands-on experience in implementing low-level CV algorithms
• Proficiency in C++ 
• Experience with Linux 
• Experience with Object tracking and detection tasks 
• Ability to quickly navigate through recent research and trends in computer vision. 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.) 

Nice to Have: 

• Practical experience with SLAM and/or Visual-Inertial Odometry (VIO) 
• Experience with Python 
• Experience with sensor fusion. 

We’re looking for a Senior Data Scientist to help shape how our clients build and scale AI solutions on AWS. In this role, you’ll develop and deploy cutting-edge generative AI models on SageMaker – from model training and fine-tuning to optimized deployment – guiding customers from ideation to production through proof of concept. You’ll work closely with startup founders, technical leaders, and account teams to create scalable, high-impact AI solutions that drive real business value.

Responsibilities:

• Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
• Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
• Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
• LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
• Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.
• Collaboration: Work closely with Data Engineering, DevOps, and MLOps teams to integrate models into production pipelines and workflows.

Requirements:

• 4+ years of experience in machine learning or data science roles, with deep learning (NLP, LLMs) expertise.
• Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
• Proven experience with generative AI and fine-tuning large language models.
• Strong experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
• Excellent communication skills and ability to work directly with customers in a consulting capacity.
• A master’s degree in a relevant field and AWS ML certifications are a plus.

Benefits:

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.