What are the responsibilities and job description for the AI/ML Engineer - Contingent position at Aretum?
***This role is contingent on bid award***
Aretum is looking for a talented AI/ML Engineer to join our team on a contingent basis. In this role, you will leverage your expertise in artificial intelligence and machine learning to drive innovative solutions and contribute to the development of advanced AI applications. As a member of our team, you will work closely with data scientists, software engineers, and other stakeholders to implement machine learning models, optimize algorithms, and enhance system performance.
Aretum specializes in delivering cutting-edge technology solutions to various sectors, including government and commercial clients. Our mission is to harness the power of AI and ML to improve decision-making processes and drive actionable insights.
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
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
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus
- Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and their machine learning services
- Strong analytical and problem-solving skills
- Ability to work independently and collaboratively in a fast-paced environment
- Excellent communication skills, both verbal and written
Preferred Skills:
- 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 will strengthen the application.
Salary : $129,500 - $155,500
