Astreya—Senior Consultant- AI & Automation

Job description

Description: 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