Design, develop, and implement AI and ML solutions to enhance IT managed services such as network management and cybersecurity. Collaborate with cross-functional teams to integrate AI/ML models into existing systems and processes.
The Senior Software Engineer specializing in Artificial Intelligence and Machine Learning will be responsible for developing and implementing cutting-edge AI and ML solutions that enhance our IT managed services across Data Center and Network Management, Digital Workplace Services, and other solutions. The ideal candidate will have a strong background in software engineering, deep expertise in AI/ML technologies, and the ability to apply these skills to solve complex IT challenges.
Key Responsibilities
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
Requirements
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
Preferred Qualifications
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
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