Ai/Ml Engineer

Summary

Join Aretum's team as an AI/ML Engineer on a contingent basis, leveraging your expertise to develop innovative AI solutions. Collaborate with data scientists and engineers to implement machine learning models, optimize algorithms, and enhance system performance. You will analyze large datasets, conduct experiments, and communicate findings to stakeholders. This role requires a Bachelor's or Master's degree in a related field, proven AI/ML experience, strong Python programming skills, and a solid understanding of machine learning algorithms. Active Secret Clearance is required. Aretum offers a comprehensive benefits package.

Requirements

• Active Secret Clearance required
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field
• Proven experience working as an AI/ML Engineer or Data Scientist with a focus on machine learning techniques
• Strong programming skills in Python; experience with relevant libraries such as TensorFlow, PyTorch, scikit-learn, etc
• Solid understanding of machine learning algorithms, statistical methods, and data analysis
• Experience with data preprocessing, feature engineering, and model evaluation techniques
• Strong analytical and problem-solving skills
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent communication skills, both verbal and written

Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve complex problems
• Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and applications
• Analyze large datasets and extract meaningful insights to inform business strategies
• Optimize and fine-tune machine learning algorithms for improved performance and scalability
• Conduct experiments and A/B testing to validate model effectiveness and enhance performance
• Stay up-to-date with industry trends and emerging technologies in AI and ML
• Communicate findings and present technical information to both technical and non-technical stakeholders
• Document processes, designs, and code for maintainability and compliance
• Participate in code reviews and ensure best practices in software development are followed

Preferred Qualifications

• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and their machine learning services
• Experience with deep learning techniques and neural networks
• Familiarity with natural language processing (NLP) and computer vision tools
• Publication or contributions to open-source projects related to AI/ML

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home