Lead AI/ML Engineer

Beograd, Serbia

Resideo

Resideo offers top-of-the-line home automation solutions to set up your best smart home system, including smart thermostats, security cameras and more.

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The Product Data Science team is seeking a Data Scientist with expertise in Software Engineering and MLOps to harness AI and vast data resources, empowering ADI engineers to develop high-performing, innovative products. The team securely acquires and analyzes real-time device and platform data, supporting ADI's design and development through cutting-edge software tools that streamline data analysis. By leveraging automated data engineering and MLOps solutions, the team integrates scalable, production-ready AI capabilities into device and platform products. 

In this role, you will actively contribute to every stage of our MLOps pipeline and AI-driven application development. You will be responsible for designing scalable AI architectures to drive innovation in smart home solutions. Your day-to-day responsibilities may include prototyping, (re)training, and fine-tuning AI models, integrating them into our products, developing robust MLOps pipelines, and optimizing model deployment. Through in-depth analyses and impactful presentations, you will help shape product design and enhance customer experiences. 

 

JOB DUTIES:

  • Be a respected master of your data science and software engineering craft—be a source of insight and innovation before, during, and after the delivery of models, analyses, and applications
  • Influence and drive a smarter, AI-driven Control4 ecosystem and innovative functionality to OvrC-connected products
  • Efficiently develop and implement ML solutions to problems in varying domains (e.g., computer vision, dimension reduction, time series, regression, anomaly detection, audio, etc.)
  • Develop and implement AI integrations into applications and microservices, ensuring seamless deployment and functionality
  • Architect and develop MLOps pipelines to ensure scalable, reproducible, and reliable AI deployments
  • Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failure
  • Adapt, learn, grow, and teach to deliver world-class products and solutions
  • Work closely with other product engineers to create, interpret, and validate numeric models of fielded and in-test products
  • Contribute to the automation, CI/CD integration, and standardization of MLOps pipelines, model versioning, and deployment processes
  • Exemplify effective communication

 

YOU MUST HAVE:

  • Minimum 8 years of experience in data science, software engineering, or machine learning development
  • Proven ability to independently develop, integrate, and deploy AI capabilities into applications and microservices
  • Strong software engineering skills, including API development, containerization, and distributed computing, ensuring seamless AI integration
  • Experience launching, managing, and monitoring consumer-facing AI solutions in production environments 
  • Proficiency applying frequentist or Bayesian statistics to test hypotheses and judge confidence levels
  • Experience in TensorFlow, PyTorch, and scalable ML model deployment frameworks, with a strong understanding of model (re)training
  • Experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, deployment, and integration into applications
  • Proficiency in Python, SQL, Docker, and Git 
  • Experience building CI/CD pipelines for ML models, automation frameworks, and cloud-based AI deployments 
  • Experience with AWS and AWS CLI

 

WE VALUE:

  • Advanced Degree in a quantitative field
  • Experience in embedded systems development
  • Experience with telemetry data or time series analysis
  • Proficiency in Databricks
  • Work experience in IoT, ML at the edge, or AI-driven automation

 

WHAT'S IN FOR YOU:

  • Health package 
  • Insurance in case of serious illness, surgical intervention, professional illness, and insurance from the consequences of an accident
  • Flexible working hours 
  • English classes during working hours
  • Employee referral bonus program
  • Corporate social events and team buildings
  • Food and drinks: Free use of coffee machines, free fruit and snacks
  • Well-equipped office

 

#LI-SR1

#LI-HYBRID

Resideo is a leading global provider of critical comfort and security solutions primarily in residential environments and distributor of low-voltage electronic and security products. Building on a 130-year heritage, Resideo has a presence in more than 150 million homes, with 15 million systems installed in homes each year. We continue to serve more than 110,000 professionals through leading distributors, including our ADI Global Distribution business, which exports to more than 100 countries from more than 200 stocking locations around the world. Resideo is a $5.0 billion company with approximately 13,000 global employees. For more information about Resideo, please visit www.resideo.com.

At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster"EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: API Development APIs Architecture AWS Bayesian CI/CD Computer Vision Data analysis Databricks Docker Engineering Git LLMs Machine Learning Microservices ML models MLOps Model deployment Pipelines Privacy Prompt engineering Prototyping Python PyTorch Security SQL Statistics TensorFlow

Perks/benefits: Career development Flex hours Insurance Salary bonus Snacks / Drinks Team events

Region: Europe
Country: Serbia

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