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49 Atlas Systems Jobs
Senior Machine Learning Engineer-RK-P1
Atlas Systems
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are seeking a skilled Machine Learning Engineer with 5-7 years of experience who
combines deep analytical skills with practical implementation experience. The right
candidate will have a proven track record of developing and deploying sophisticated
ML models across various use cases. You will play a pivotal role in designing,
developing, and deploying advanced machine learning models, optimizing their
performance, and ensuring seamless integration with our software systems. You will be
expected to take ownership of projects, mentor junior team members, and contribute to
the strategic direction of our machine learning initiatives.
combines deep analytical skills with practical implementation experience. The right
candidate will have a proven track record of developing and deploying sophisticated
ML models across various use cases. You will play a pivotal role in designing,
developing, and deploying advanced machine learning models, optimizing their
performance, and ensuring seamless integration with our software systems. You will be
expected to take ownership of projects, mentor junior team members, and contribute to
the strategic direction of our machine learning initiatives.
Key Responsibilities:
Design and develop machine learning systems, including algorithms and deep
learning models, to solve complex business problems.
Implement and optimize ML models using frameworks such as TensorFlow,
PyTorch, and scikit-learn.
Conduct experiments and tests to improve model accuracy, efficiency, and
scalability.
Build and maintain scalable data pipelines for ingestion, cleaning, and
preprocessing of large datasets.
Collaborate with data engineers to build and maintain robust data pipelines for
model training and deployment.
Ensure the smooth transition of models from prototype to production, including
setting up deployment pipelines and monitoring solutions.
Participate in code reviews, design discussions, and architectural decisions to
enhance system quality.
Mentor junior engineers and share knowledge.
Stay updated with the latest advancements in machine learning, Agentic AI,
artificial intelligence, and related technologies.
Key Requirements:
Education: bachelor s or master s degree in engineering, Mathematics,
Statistics, or a related field.
Experience: 5-7 years of proven experience as a Machine Learning Engineer or
in a similar role.
Technical Skills:
Strong programming skills in Python, with experience in other languages
like R, C++ or Java being a plus.
Proven expertise with machine learning frameworks (e.g., TensorFlow,
PyTorch, scikit-learn).
Proven expertise with machine learning frameworks (e.g., TensorFlow,
PyTorch, scikit-learn) and familiarity with Agentic AI frameworks or
concepts (e.g., LangGraph, CrewAI or multi-agent systems).
In-depth knowledge of data engineering principles, including ETL pipelines
and big data tools (e.g., Spark).
Experience with MLOps practices, including model deployment,
monitoring, CI/CD pipelines, and containerization (e.g., Docker,
Kubernetes).
Experience with distributed systems, cloud platforms (e.g., AWS, Azure,
GCP), and messaging systems (e.g., Kafka, RabbitMQ).
Soft Skills:
Exceptional problem-solving and analytical abilities.
Ability to explain complex technical concepts to non-technical
stakeholders.
What We Offer:
A role at the forefront of AI/ML innovation, influencing transformative industry
projects.
A collaborative, growth-focused environment.
Zero politics, merit-driven culture
Employment Type: Full Time, Permanent
Read full job description
What people at Atlas Systems are saying
What Atlas Systems employees are saying about work life
based on 48 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Atlas Systems Benefits
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