Lead Machine Learning Engineer

About the Position

We are looking for a Lead Machine Learning Engineer to join our team and drive the development, deployment, and support of advanced ML solutions in a production environment. You will work in a cross-functional team, implement engineering best practices, automate ML processes, and integrate models into complex data-driven systems.

Responsibilities

• Design, develop, and maintain production-grade machine learning models
• Automate ML pipelines using modern tools (e.g., Databricks, Azure ML, AWS Sagemaker)
• Integrate ML solutions into complex data-driven systems
• Work with large-scale data using Apache Spark or alternative technologies
• Apply and promote engineering best practices and MLOps principles
• Collaborate with Data Science, Data Engineering, DevOps, and other teams
• Support various data processing paradigms (batch, micro-batch, streaming)
• Utilize cloud platforms (AWS, GCP, Azure) for deploying and maintaining ML solutions

Requirements

• 5+ years of experience in AI/ML engineering and leadership
• Skilled in deploying machine learning models to production
• Understanding of best practices in software engineering, data management, testing, and deployment
• Expertise in building scalable, reliable, and maintainable ML systems
• Experience with some of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, Databricks, GCP Vertex AI
• Strong communication and interpersonal skills to liaise with senior business stakeholders, clients, and team members
• Ability to work in a fast-paced, deadline-driven environment, mentor junior team members, and provide technical leadership
• Strong knowledge of Python development
• Familiarity with cloud-native services: AWS, Azure, GCP

Location

• Armenia, Armenia
• Hybrid

We Offer

• Opportunity to work with cutting-edge machine learning technologies
• Collaborative and innovative work environment
• Competitive salary and benefits package
• Professional growth and development opportunities
• Flexible working hours and remote work options

About the Company

[Company description if present]