CLOUD - AI/ML Engineer (Part Time)

 

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