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GenAI Machine Learning Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor's or master's degree in relevant field, 5+ years of machine learning experience, Proven expertise in machine learning frameworks, Experience with large data sets and analytics, Familiarity with cloud platforms, preferably AWS.

Key responsabilities:

Develop, train, and fine-tune models for AI applications
Lead the model lifecycle from data collection to deployment
Collaborate with partners to create AI solutions
Conduct experiments to improve model efficiency
Monitor and maintain models in production environments

BAMM Staffing https://www.bammusa.com

11 - 50 Employees

See more BAMM Staffing offers

Job description

REMOTE: EST HOURS

We are seeking an experienced Machine Learning Engineer to join our team and play a pivotal role in the development of our advanced Generative AI applications and systems. This dynamic role involves a variety of initiatives, including designing, building, and delivering Client applications leveraging AI technologies like LLMs and FMs.

Key Responsibilities:

Develop, train, and fine-tune Client models, with a focus on LLMs, FMs, and RAG.
Lead the model development lifecycle from data collection and preprocessing to model evaluation and deployment.
Collaborate with business partners, engineers, analysts, and data scientists to translate business requirements into effective AI solutions.
Conduct experiments, including A/B testing, to enhance model accuracy and efficiency.
Deploy models to production, ensuring scalability and efficiency.
Optimize machine learning applications for performance and reliability.
Monitor and maintain models in production environments.
Stay updated on AI, Client, and GenAI advancements to drive innovation.
Provide data-driven insights and recommendations.
Mentor team members on AI/Client engineering best practices.

Qualifications:

Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.
5+ years of full-time work experience in one or more relevant machine-learning roles.
Proven experience as a Machine Learning Engineer or in a similar role.
Experience with developing machine learning models at scale from inception to business impact
Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
Experience in working with large data sets, data processing, and data analytics.
Familiarity with cloud platforms, preferably AWS, and their machine learning services.
Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience delivering models through the MLOps life cycle from exploration to serving.
Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning.
Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.