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 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 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