CLOUD - AI​/ML Engineer

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.

The AI/ML Engineer 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 problems. The AI/ML Engineer will collaborate with data scientists, software engineers, and other stakeholders to integrate and optimize AI/ML systems within existing infrastructure.

• 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., Tensor Flow, 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.

• 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, Num Py, and SQL.
• Proven experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, Keras)
• Candidate Must Have an Active Top Secret SCI Poly Security Clearance.

• 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.

• 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: (Use the "Apply for this Job" box below)..

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.

$140—$142.21 USD