Sr Machine Learning Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Machine Learning

Job Details

Sr Machine Learning Engineer

Location- Plano TX

Key Responsibilities
Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions.

Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.

Optimize and adapt prompt engineering strategies to improve model performance and relevance.

Integrate and deploy models using AWS services including Bedrock, S3, EC2, Lambda, and others.

Build and maintain scalable data pipelines and APIs to support ML workflows.

Monitor model performance and iterate based on feedback and metrics.

Stay current with advancements in AI/ML and cloud technologies to ensure our solutions remain cutting-edge.

Required Qualifications

Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.

3+ years of experience in machine learning, data science, or AI engineering.

Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.

Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda

Familiarity with MLOps practices and tools for model deployment and monitoring.

Experience with AWS services such as S3, EC2, Lambda, and particularly SageMaker for machine learning model deployment.

Understanding of quantitative/statistical/ML/AI modeling methodologies.

Experience in ML engineering, including hands-on experience with Generative AI/LLMs.

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