Senior / Principal Machine Learning Engineer

Posted 12 Days Ago
Be an Early Applicant
Hiring Remotely in Kyiv, Gorod-Geroy Kiyev, UKR
In-Office or Remote
Senior level
Software
The Role
Design, build, and deploy scalable ML models and data pipelines for advertising forecasting and optimization. Analyze large-scale historical and real-time data, optimize model performance, collaborate with cross-functional teams, contribute to ML architecture, document systems, mentor engineers, and drive AdTech innovation.
Summary Generated by Built In
Company Description

Ready to work on machine learning solutions powering large-scale video advertising platforms used by millions of viewers worldwide?

We are looking for a Senior / Principal Machine Learning Engineer to join a distributed engineering team working on intelligent forecasting and advertising optimization systems. In this role, you will contribute to high-load cloud-native solutions processing billions of daily requests and terabytes of data.

We at Sigma Software offer the opportunity to work with cutting-edge ML and Big Data technologies, collaborate with international experts, and influence technical decisions within a complex AdTech ecosystem. 

CUSTOMER 

Our Customer is a leading technology company in the television and digital advertising industry focused on helping media companies monetize premium video content. The platform supports high-quality video delivery across smart TVs, OTT devices, mobile applications, set-top boxes, and desktop environments. The Customer operates a large-scale distributed ecosystem that combines machine learning, cloud technologies, and advanced analytics to optimize advertising efficiency and audience targeting.

Job Description

  • Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
  • Analyze large-scale historical and real-time datasets to improve forecasting accuracy and monetization strategies
  • Build and maintain distributed data processing pipelines using Spark and related Big Data technologies
  • Develop production-ready ML solutions using Python within AWS cloud infrastructure
  • Research, evaluate, and implement Machine Learning algorithms suitable for high-load AdTech environments
  • Improve model performance, scalability, reliability, and operational efficiency
  • Collaborate with Data Engineers, Product Managers, and distributed engineering teams to deliver end-to-end ML solutions
  • Contribute to ML architecture decisions, experimentation approaches, and engineering best practices
  • Monitor, validate, and optimize ML model quality and forecasting performance in production environments
  • Produce technical documentation related to ML pipelines, models, and distributed systems
  • Mentor engineers and support technical growth within the team
  • Drive innovation in Machine Learning and AdTech technologies

Qualifications

  • 6+ years of commercial experience in Machine Learning and Big Data engineering
  • Strong hands-on experience with machine learning algorithms implementation using Python 
  • Proven experience with Apache Spark and large-scale distributed data processing
  • Experience working with distributed messaging systems such as Kafka
  • Strong knowledge of AWS cloud services and cloud-native architectures
  • Experience designing and developing large-scale distributed or mission-critical systems
  • Solid understanding of software engineering principles, SDLC, and Agile methodologies
  • Strong analytical thinking and problem-solving skills
  • Ability to work independently and take ownership of complex technical solutions
  • Good communication and collaboration skills
  • Upper-Intermediate or higher English level

WILL BE A PLUS:

  • Experience with Golang
  • Experience in AdTech, online advertising, or media platforms
  • Experience with forecasting systems or recommendation engines
  • Experience optimizing ML models for large-scale production environments

Skills Required

  • 6+ years of commercial experience in Machine Learning and Big Data engineering
  • Hands-on experience implementing machine learning algorithms using Python
  • Proven experience with Apache Spark and large-scale distributed data processing
  • Experience with distributed messaging systems such as Kafka
  • Strong knowledge of AWS cloud services and cloud-native architectures
  • Experience designing and developing large-scale distributed or mission-critical systems
  • Solid understanding of software engineering principles, SDLC, and Agile methodologies
  • Strong analytical thinking and problem-solving skills
  • Ability to work independently and take ownership of complex technical solutions
  • Good communication and collaboration skills
  • Upper-Intermediate or higher English level
  • Experience with Golang
  • Experience in AdTech, online advertising, or media platforms
  • Experience with forecasting systems or recommendation engines
  • Experience optimizing ML models for large-scale production environments
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The Company
HQ: New York, New York
1,516 Employees

What We Do

Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters

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