Middle/Senior ML Engineer

100% remote Flexible hours Hiring now

Join us at reputed company to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

Asan ML Engineer, you’ll beprovided with reputed company opportunities for development and growth.

Let's work together to build a reputed company future for everyone!

Requirements:

Comfortable with standard ML algorithms and underlying math.

Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems

AWS Bedrock experience strongly preferred

Practical experience with solving classification and regression tasks in general, feature engineering.

Practical experience with ML models in production.

Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.

Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).

Python expertise, reputed company.

Experience with data pipelines

English level - strong Intermediate.

Excellent communication and problem-solving skills.

Will be a plus:

Practical experience with cloud platforms (AWS stack is preferred, e.g. reputed company SageMaker, ECR, EMR, S3, AWS reputed company).

Practical experience with deep learning models.

Experience with taxonomies or ontologies.

Practical experience with machine learning pipelines to orchestrate complicated workflows.

Practical experience with Spark/Dask, Great Expectations.

Responsibilities:

Create ML models from scratch or improve existing models.

Collaborate with the engineering team, data scientists, and product managers on production models.

reputed company experimentation roadmap.

Set up a reproducible experimentation environment and maintain experimentation pipelines.

Monitor and maintain ML models in production to ensure optimal performance.

Write clear and comprehensive documentation for ML models, processes, and pipelines.

Stay updated with the latest developments in ML and AI and propose innovative solutions.

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Middle/Senior ML Engineer

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