About DataArt

Founded in 1997, DataArt is a global software engineering firm and a trusted technology collaborator for market leaders and visionaries. Guided by the People-first principle, our world-class team designs and engineers data-driven, cloud-native solutions that foster progress and deliver immediate and enduring business value.

• 5700 professionals
• 20+ countries
• 30+ locations
• 87% employee retention
• 31% women
• 48% senior-level professionals
• 34% of new colleagues join us through recommendations.
• Glassdoor review score — 4.6

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. We build a diverse community that attracts—and retains—the best talent worldwide.

We are looking for a mid-level ML engineer to join our team and contribute to the design, development, and deployment of machine learning models. Ideally, you have strong experience with cloud platforms (preferably AWS), a solid understanding of AI/ML, proficiency in Java and SQL, and familiarity with modern ML tools and GPT agents.

You will be responsible for

• Designing, developing, and deploying ML models and AI solutions
• Work with cloud platforms, primarily AWS, to implement scalable ML solutions
• Collaborate with cross-functional teams to integrate ML models into production
• Write clean, efficient code using Java and SQL to support data processing and model implementation
• Utilize modern ML tools and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) in model development
• Stay updated with advancements in AI/ML, including GPT agents and related technologies

We would love if you have:

• 3+ years of experience in machine learning and AI development
• Strong experience with AWS (or other cloud platforms) for deploying ML models
• Proficiency in Java and SQL for data management and integration
• Familiarity with modern ML tools and Gen-AI models (TensorFlow, PyTorch, GPT agents, etc.)
• Solid understanding of standard ML requirements, including model validation, hyperparameter tuning, and deployment best practices

What are the benefits

Health Insurance
Unlimited Learning & Education Support
Vaccation's