AI/ML Engineer IV

Design, develop, and implement AI and ML solutions that improve the efficiency and effectiveness of Astreya's IT managed services

Collaborate with cross-functional teams to identify opportunities for AI/ML integration in existing systems and processes

Develop and maintain scalable AI/ML models for various applications, such as predictive maintenance, anomaly detection, and automated incident response

Implement natural language processing (NLP) solutions to enhance service desk operations and customer interactions

Create and optimize algorithms for data mining, machine learning, and statistical analysis

Work on computer vision projects to enhance IT asset management and security surveillance systems

Develop AI-powered automation solutions for network management and cybersecurity threat detection

Conduct research on the latest AI/ML technologies and methodologies to drive innovation within the organization

Collaborate with data engineers to ensure high-quality data pipelines for AI/ML models

Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, and deployment

Document technical specifications, architecture designs, and best practices for AI/ML solutions

Ensure that AI/ML solutions comply with relevant industry standards and regulations

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

10+ years of software engineering experience, with at least 4 years focused on AI/ML development

Strong proficiency in programming languages such as Python or Java

Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Solid understanding of data structures, algorithms, and software design principles

Experience with deep learning, neural networks, and LLMs

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services

Strong background in data analysis, statistical modeling, and mathematics

Experience with version control systems (e.g., Git) and CI/CD pipelines

Excellent problem-solving skills and ability to work in a fast-paced environment

Strong communication skills and ability to explain complex AI/ML concepts to non-technical stakeholders

Ph.D. in Computer Science, AI, or ML

Experience applying AI/ML in IT operations, network management, or cybersecurity contexts

Knowledge of MLOps practices and tools

Familiarity with big data technologies (e.g., Hadoop, Spark)

Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)

Contributions to open-source AI/ML projects or research publications

Understanding of ethical AI principles and practices