Position: Senior Machine Learning Engineer
Company: Sigma Software
Experience required: 5y
English level: intermediate

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 acting in various business domains and working 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 request and see the root of the problem. We believe that people striving toward this mindset are bound to succeed as acclaimed professionals & driving force of Big Data development in Ukraine.

**PROJECT**
Big Data Competence Center is where we collect the best engineering practices & uniting 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 Big Data Unit, or by constantly growing our skills. In our unit, you can be a Machine Learning engineer/team lead/architect, or you can become a mentor, or 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 & teammates with likewise 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 & 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!

**REQUIREMENTS**
Strong Python and SQL knowledge and experience
Experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, TensorFlow
Ability to understand machine learning development and deployment processes
Solid experience with SageMaker and all the features it provides (e.g., Sagemaker Pipelines)
Ability to create and adjust SageMaker pipelines for the end-to-end ML development cycle
Experience with Deep learning models for signal and speech processing

**WOULD BE A PLUS:**
Experience with Deep learning models for Natural Language Processing domain
Experience setting up multi-GPU infrastructure for model training
Experience with general DevOps practices and principles

**RESPONSIBILITIES**
Working and professionally communicating with the customer’s team
Taking up responsibility for delivering major solution features
Participating in requirements gathering & clarification process, proposing optimal architecture strategies, leading the data architecture implementation
Developing core modules and functions, designing scalable and cost-effective solutions
Performing code reviews, writing unit and integration tests
Scaling the distributed system and infrastructure to the next level
Helping the client’s research team with the implementation, training, testing, and tuning of deep learning models
Developing AWS machine learning infrastructure to support and maintain model serving and training
Providing guidance and best practices to effectively and securely leverage the Amazon SageMaker service for interaction with a model
Developing reusable project templates to create the infrastructure for MLOps solutions for CI/CD of ML models
Collaborating with the research team to identify best-fit models and open-source alternatives related to language and signal processing to get the best possible result