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
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Design, develop, and implement AI and ML solutions that improve the efficiency and effectiveness of Astreya's IT managed services
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Collaborate with cross-functional teams to identify opportunities for AI/ML integration in existing systems and processes
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Develop and maintain scalable AI/ML models for various applications, such as predictive maintenance, anomaly detection, and automated incident response
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Implement natural language processing (NLP) solutions to enhance service desk operations and customer interactions
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Create and optimize algorithms for data mining, machine learning, and statistical analysis
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Work on computer vision projects to enhance IT asset management and security surveillance systems
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Develop AI-powered automation solutions for network management and cybersecurity threat detection
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Conduct research on the latest AI/ML technologies and methodologies to drive innovation within the organization
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Collaborate with data engineers to ensure high-quality data pipelines for AI/ML models
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Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, and deployment
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Document technical specifications, architecture designs, and best practices for AI/ML solutions
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Ensure that AI/ML solutions comply with relevant industry standards and regulations
Requirements
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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
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10+ years of software engineering experience, with at least 4 years focused on AI/ML development
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Strong proficiency in programming languages such as Python or Java
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Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
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Solid understanding of data structures, algorithms, and software design principles
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Experience with deep learning, neural networks, and LLMs
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Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services
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Strong background in data analysis, statistical modeling, and mathematics
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Experience with version control systems (e.g., Git) and CI/CD pipelines
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Excellent problem-solving skills and ability to work in a fast-paced environment
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Strong communication skills and ability to explain complex AI/ML concepts to non-technical stakeholders
Preferred Qualifications
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Ph.D. in Computer Science, AI, or ML
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Experience applying AI/ML in IT operations, network management, or cybersecurity contexts
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Knowledge of MLOps practices and tools
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Familiarity with big data technologies (e.g., Hadoop, Spark)
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Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
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Contributions to open-source AI/ML projects or research publications
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Understanding of ethical AI principles and practices
