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Deep Learning Engineer
ID: 6Full-Timecareers
About us
Arealis
A new intelligence for a new enterprise. Arealis' purpose is to make the world better at using data and intelligence, with a major focus on building the best enterprise experience for your operations. We've all felt how slow, fragmented, and disconnected enterprise systems can be. So, we're reimagining it. We're building every product from scratch to be fast, transparent, and intelligent, because we believe that the best systems transcend industries, like how great technology touches most of us.
Our cornerstone products and services: Arealis Gateway (financial intelligence infrastructure), Arealis Zord (AI orchestration for payments and compliance), and distributed intelligence fabric are designed to be simple, powerful, and completely in your control. At Arealis, you'll get to build things you'd use yourself and shape the future of enterprise intelligence. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
We're backed by recognition from Google Agentic AI Hackathon, IIT Bombay National Showcase, and Wadhwani Foundation Liftoff Program.
About the team
Everything that you see in enterprise intelligence - engineers made it. Even the systems that power financial transactions, data orchestration, and AI workflows - engineers. At Arealis, we're trying to build a world-class product and that takes some incredible, world-class engineers. A team so supportive - even if you miss a semicolon in your code, they got your back till the code runs successfully.
About the Role
We are looking for a passionate and motivated Deep Learning Engineer to join our AI team. As a deep learning engineer, you will develop and train AI models for financial pattern recognition and real-time decisioning. You'll collaborate closely with AI researchers, product managers, and senior engineers to build production-ready deep learning systems.
What You will do
- 1Develop and train deep learning models for financial pattern recognition and real-time decisioning.
- 2Work with PyTorch, TensorFlow, and model deployment stacks.
- 3Collaborate with AI and product teams to understand requirements and translate them into model specifications.
- 4Work with senior engineers to ensure high model quality and best practices.
- 5Write unit and integration tests to ensure model stability and reliability.
- 6Fix bugs and optimize model performance and inference speed.
- 7Participate in code reviews and contribute to the continuous improvement of development processes.
- 8Stay updated with deep learning trends, papers, and technologies.
What you will need
- Strong foundation in deep learning, neural networks, and model training.
- 2-5 years of experience in deep learning engineering or related fields.
- Experience with PyTorch, TensorFlow, or similar deep learning frameworks.
- Familiarity with financial data, pattern recognition, and real-time inference.
- Experience with model deployment, MLOps, and production systems.
- Experience with Git and version control systems.
- Good debugging and problem-solving skills.
- Eagerness to learn and grow in a fast-paced environment.
Life at Arealis
Life so good, you'd think we're kidding:
- ★Competitive salaries. Period.
- ★An extensive medical insurance that looks out for our employees & their dependents. We'll love you and take care of you, our promise.
- ★Flexible working hours. Just don't call us at 3 AM, we like our sleep schedule.
- ★Tailored vacation & leave policies so that you enjoy every important moment in your life.
- ★A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
- ★Learning and upskilling opportunities. Seriously, not kidding.
- ★Good food, games, and a cool office to make you feel at home. An environment so good, you'll forget the term 'colleagues can't be your friends'.