Are you looking for a team of professionals on top of cutting-edge technologies? Are you looking for a place to boost your Machine Learning career?  

We invite you to join our Big Data Competence Center, part of Sigma Software’s complex organizational structure that combines various clients, interesting projects, and activities to grow your professional skills. 

Customer:

We’re operating in various business domains and with the top range of clients (those without NDAs can be found here: sigma.software/case-studies). 

Our team highly supports employees’ freedom, independence in decision-making, and the desire to deeply understand client’s requests and see the root of the problem. We believe that people striving toward this mindset are bound to succeed as acclaimed professionals and driving force of Big Data development in Ukraine. 

Project:

Big Data Competence Center is where we collect the best engineering practices and unite them into one knowledge base to provide the best technical excellence services for our clients. 

We’re not just a team gathered to write code. We all are willing to contribute to the field by participating in the life of the Big Data Unit, or by constantly growing our skills. In our unit, you can be a Principal Machine Learning Engineer/Team Lead/Architect, or you can become a mentor, a person behind all the new technologies in the team, or an active listener if you will. Whatever you decide, be sure that you’re not alone. Whether it’s a difficult task, an unordinary client request, or your next project to choose, you’ll always have a mentor and teammates with similar mindsets to come up with the best solution. 

We’re using an unusual approach, hiring people not for the specific project, but, first and foremost, to join our team. This gives us a chance to know you better and ensure that we’ll provide a perfect match between the client’s needs and your professional interests. 

If you have the courage to become a part of the top-notch Big Data community in Ukraine, grab your chance, and let’s make some history together!

Responsibilities:

• Collaborate within a cross-functional data team to address diverse, data-centric tasks
• Establish and maintain effective communication with clients and their teams, ensuring alignment on project objectives 
• Take ownership of delivering key solution features, from design to deployment 
• Engage in requirements gathering and analysis, proposing optimal machine learning strategies and leading the implementation process 
• Contribute to pre-sales activities, providing expert input on machine learning and AI solutions 
• Develop and implement core system modules, designing scalable and cost-effective solutions 
• Conduct code reviews and write comprehensive unit and integration tests to ensure code quality 
• Scale distributed systems and infrastructure to support evolving business needs 
• Support the client’s research team in the implementation, training, testing, and fine-tuning of deep learning models 
• Collaborate with research teams to identify the most appropriate models and open-source tools for language and signal processing tasks, optimizing performance and outcomes 

Requirements:

• Advanced Python and SQL knowledge and expertise 
• Experience in model implementation and tuning using popular Machine Learning frameworks like PyTorch, Keras, TensorFlow 
• Ability to understand Machine Learning development and deployment processes 
• Solid experience with Machine Learning cloud services like AWS SageMaker or Vertex AI and their supplemental features (like SageMaker Pipelines) 
• Proficiency in programming for Computer Vision applications and solutions 
• Expertise in MLOps, focusing on streamlining and automating ML workflows 
• Ability to create and adjust Machine Learning pipelines for the end-to-end Machine Learning development cycle 
• Experience in working with Deep Learning models for signal and speech processing, as well as for Natural Language Processing domain 
• Proficiency in setting up multi-GPU infrastructure for model training 
• Solid understanding in DevOps practices and principles 
• Work experience in building and deploying AI solutions  
• Familiarity with statistical and data mining techniques and ability to use them when it is appropriate 
• Experience in working with Data Analytics 
• At least an Upper-Intermediate level of English