CLOUD - AI/ML Engineer (Part Time)

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

Job summary

Steel Point Solutions seeks an AI/ML Engineer to design, develop, and deploy models in a part-time, 1099 independent contractor capacity. You will collaborate with data scientists, software engineers, and stakeholders to scale AI/ML within existing infrastructure.

Responsibilities include model development, data processing, deployment, monitoring, and documentation, with emphasis on ethics, privacy, and regulatory compliance. A Top Secret SCI Poly clearance is required.

Qualifications

• Bachelor’s degree in CS, Data Science, Engineering, Mathematics, or related field.
• 3+ years of AI/ML engineering experience.
• 3+ years of data processing with Pandas, NumPy, SQL.
• Experience with ML frameworks (TensorFlow, PyTorch, Keras).
• Active Top Secret SCI Poly clearance required.

Responsibilities

• Design, develop, and train AI/ML models.
• Prepare and preprocess large datasets for training and validation.
• Implement and optimize ML algorithms using standard libraries.
• Deploy AI/ML models into production environments.
• Monitor model performance and iterate improvements.

Skills

AI/ML engineering

Data processing

Python

Pandas

NumPy

SQL

TS/SCI Poly

Education

Bachelor's degree

Master's degree preferred

Tools

TensorFlow

PyTorch

Keras

Job description

Steel Point Solutions is an amazing SBA Certified (8a), HUBZone, Small Disadvantaged Business (SDB) and a Woman Owned Small Business (WOSB) company. Established in 2013 with a vision of offering world class, integrated business solutions for all levels of Government and commercial enterprises. We are represented by a team of talented and qualified professionals who know how essential efficient, cost-effective integrated solutions are to your organization’s success. Leveraging these resources, we strive daily to lead the industry in program management and service delivery.

Role Summary

The AI/ML Engineer serves in a part-time, 1099 independent contractor capacity and is responsible for designing, developing, and deploying machine learning models and artificial intelligence solutions that drive Steel Point’s data-driven initiatives. This role involves creating algorithms, working with large datasets, and implementing AI/ML solutions to solve complex business challenges. The AI/ML Engineer will collaborate with data scientists, software engineers, and other stakeholders to integrate, optimize, and scale AI/ML systems within existing infrastructure.

Key Roles & Responsibilities

• Model Development: Design, develop, and train machine learning models, including supervised, unsupervised, and reinforcement learning algorithms.
• Data Processing: Prepare and preprocess large datasets for training and validation of AI/ML models, including data cleaning, feature engineering, and transformation.
• Algorithm Implementation: Implement and optimize AI/ML algorithms using industry-standard libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Deployment: Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.
• Performance Monitoring: Monitor and evaluate model performance, making necessary adjustments and improvements to enhance accuracy and efficiency.
• Collaboration: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and integrate AI/ML solutions into applications and systems.
• Documentation: Create and maintain documentation for AI/ML models, including design, development, and deployment processes.
• Innovation: Stay updated with the latest advancements in AI/ML technologies and methodologies, applying new techniques to improve existing models and solutions.
• Ethics and Compliance: Ensure AI/ML solutions adhere to ethical guidelines and regulatory requirements, including fairness, transparency, and privacy.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• 3+ years of experience in AI/ML engineering, including hands‑on experience with model development and deployment.
• 3+ years of experience with data processing and manipulation using tools such as Pandas, NumPy, and SQL.
• Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras)
• Candidate Must Have an Active Top Secret SCI Poly Security Clearance.

Preferred Qualifications

• A Master’s degree or PhD in a relevant field is preferred
• Certifications:
  • AI/ML-related certifications (e.g., Google Cloud Certified - Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty) are preferred.
  • Certifications in data science or analytics (e.g., Certified Data Scientist) are a plus.

Skills And Competencies

• Machine Learning: Strong knowledge of machine learning algorithms, techniques, and best practices.
• Data Engineering: Proficiency in data processing, feature engineering, and working with large datasets.
• Technical Skills: Experience with AI/ML frameworks and libraries, and programming languages such as Python, R, or Java.
• Problem‑Solving: Strong analytical and problem‑solving skills to address complex AI/ML challenges and optimize model performance.
• Collaboration: Ability to work effectively with cross-functional teams, including data scientists, engineers, and business stakeholders.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical audiences.
• Ethical Awareness: Understanding of ethical considerations and regulations related to AI/ML technologies, including fairness and privacy.

Candidates from Historically Underutilized Business Zones (HUBZone) are strongly encouraged to apply. To determine whether you reside in a HUBZone, visit: https://maps.certify.sba.gov/hubzone/map.

The salary range represents a general guideline; however, Steel Point Solutions considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Salary Range

$140—$142.21 USD