Cloud AI/ML Engineer — TS/SCI Poly 1099 Contractor

Steel Point Solutions; Fort Meade (MD); On-site; USD 193,000 - 196,000; Part time

Job summary

Steel Point Solutions is seeking a part-time AI/ML Engineer (1099 contractor) to design, develop, and deploy ML models and AI solutions supporting government and commercial initiatives. You will handle data processing, model development, and integration with existing systems within a collaborative team.

The role requires working with data scientists and software engineers, ensuring scalable deployments, and maintaining documentation while upholding ethical guidelines and regulatory requirements.

Qualifications

• Bachelor’s degree in CS/DS/engineering/math or related field.
• 3+ years of AI/ML engineering experience including model development and deployment.
• 3+ years data processing with Pandas, NumPy, and SQL.
• Experience with TensorFlow, PyTorch, and Keras.
• Active Top Secret SCI Poly Security Clearance required.

Responsibilities

• Design, develop, and train ML models including supervised, unsupervised, and reinforcement learning.
• Prepare and preprocess large datasets for training and validation.
• Implement and optimize ML algorithms using standard libraries.
• Deploy ML models into production environments with scalability and reliability.
• Monitor model performance and iterate improvements.
• Collaborate with data scientists, engineers, and stakeholders to integrate solutions.
• Create and maintain documentation for ML models and processes.
• Stay updated with AI/ML advancements and apply new techniques.
• Ensure AI/ML ethics and regulatory compliance.

Skills

AI/ML engineering

Data processing

Programming languages

Problem solving

Collaboration

Ethical awareness

Education

Bachelor's degree (CS/DS/engineering/math)

Master's degree preferred

Tools

TensorFlow

PyTorch

Keras

Pandas

NumPy

SQL

Job description

Steel Point Solutions is seeking a part-time AI/ML Engineer (1099 contractor) to design, develop, and deploy ML models and AI solutions supporting government and commercial initiatives. You will handle data processing, model development, and integration with existing systems within a collaborative team.

The role requires working with data scientists and software engineers, ensuring scalable deployments, and maintaining documentation while upholding ethical guidelines and regulatory requirements.