Offer summary

Qualifications:

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 like TensorFlow and PyTorch..

Key responsibilities:

Designing, developing, and deploying ML models and AI solutions.

Working with cloud platforms, primarily AWS, to implement scalable ML solutions.

Collaborating with cross-functional teams to integrate ML models into production.

Writing clean, efficient code using Java and SQL to support data processing and model implementation.

Job description

Company Description

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.

Job Description

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

Qualifications

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