Atlas Systems
AI/ML Engineer-RK-P1
Job Description
About Us:
With offices in the US and India, Atlas Systems is a trusted partner helping companies on their digital transformation journeys – expanding their capabilities and delivering added value. Now in its 20th year, Atlas works closely with clients to provide solutions that seamlessly enhance in-house teams and systems, leveraging AI, Cloud, and other innovative technologies.
The company’s continuous focus on learning and upskilling in-house talent allows Atlas to stay ahead of emerging trends and deliver the services clients need most. With a team of 500+ associates globally, Atlas manages some of the largest Infrastructure operations for clients in a variety of industries, from healthcare to hospitality. The company also offers expertise in Database Services, Application Development & Support, Network Support, Cloud Migration, Big Data Analytics, IT Security, and IT Consulting. Our product AInfinity® leverages AI / ML and real-world experience to optimize IT Ops.
In addition, Atlas brings deep experience to supporting clients in the areas of Third-party risk management (TPRM), with AI-powered Comply Score® solution suite and provider directory verification for health plans, leveraging its proven PRIME system for top-quality validation.
Join us on this transformative journey as we redefine what’s possible in the digital landscape, enabling businesses to reach new heights by turning innovation into impact. Shape your digital future with Atlas Systems!
Please apply using the URL:
https://atlas.bamboohr.com/careers/371
Who we are searching for?
We are on the lookout for an exceptional AI/ML Engineer to join us. With projects that span the cutting-edge technology, our team is a core driver of innovation within the company. We’re seeking someone who shares our passion for creating groundbreaking solutions and is ready to take on the challenges of a rapidly evolving tech landscape. If you’re eager to lead, innovate, and inspire, let’s transform the future together.
Key Responsibilities:
- Ideate, develop, train, and deploy machine learning models, including deep learning and classic machine learning.
- Take charge of cloud deployments and CI/CD pipelines, demonstrating expertise across AWS, GCP, and Azure platforms.
- Work with a dynamic team of AI/ML engineers, providing guidance and mentorship to achieve project milestones and innovation targets.
- Drive the integration of AI/ML technologies into Atlas Systems’ product suite and client’s workflows, ensuring scalability and impact.
- Stay at the forefront of AI/ML and cloud technologies, incorporating best practices and cutting-edge tools into our workflows.
Technical Skills Required:
- Proficiency in Python, ML frameworks like TensorFlow, PyTorch and Huggingface
- Hands-on experience with Generative AI models and platforms such as OpenAI and Azure Cognitive Services and proficiency with frameworks like Langchain.
- Experience in finetuning, optimizing and deploying NLP/Transformers based models.
- Strong foundational knowledge in machine learning techniques like supervised and unsupervised algorithms
- Solid experience with cloud services and architectures across Azure, AWS, and GCP including hands-on experience with their respective ML tools and services.
- Deep understanding of CI/CD practices and version control systems like Git/DVC and container orchestration (e.g., Docker, Kubernetes)
- Demonstrated ability to lead projects from concept through deployment, with a track record of innovative solutions and impactful results.
What We Offer:
- A role at the forefront of AI/ML innovation, with the opportunity to impact projects transforming industries.
- A collaborative environment where learning and growth are encouraged and supported.
- No politics, completely merit driven growth.
Join Us:
If you’re ready to lead in the creation of solutions that redefine possibilities, we would love to welcome you to our team. Together, we’ll push the boundaries of what AI/ML can achieve, making a lasting impact on the digital landscape.
