AI/ML Engineer

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.

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.

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.

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.