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
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, ML, or related field
- 10+ years of software engineering experience with at least 4 years focused on AI/ML development
- Proficiency in Python or Java
- Experience with machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
- Solid understanding of data structures, algorithms, and software design principles
- Experience with deep learning, neural networks, and large language models (LLMs)
- Familiarity with cloud platforms and their AI/ML services (AWS, Azure, GCP)
- Strong background in data analysis, statistical modeling, and mathematics
- Experience with version control systems (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
- Experience applying AI/ML in IT operations, network management, or cybersecurity contexts
- Knowledge of MLOps practices and tools
- Familiarity with big data technologies (Hadoop, Spark)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Ph.D. in Computer Science, AI, or ML
- Contributions to open-source AI/ML projects or research publications
- Understanding of ethical AI principles and practices
Astreya Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Astreya and has not been reviewed or approved by Astreya.
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Healthcare Strength — Health coverage includes multiple medical plan options plus dental and vision, complemented by FSAs, an EAP, disability and life insurance, and wellness programs. Feedback suggests these offerings provide solid core protection across many roles.
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Wellbeing & Lifestyle Benefits — Client-site amenities at some large tech campuses can add non-cash value such as meals or on-site perks that enhance the day-to-day experience. Wellness Days and access to learning resources and tuition reimbursement further support overall wellbeing.
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Flexible Benefits — Choice among medical plan types and tax-advantaged accounts enables some customization to individual needs. Some roles also offer remote or flexible work, adding practical flexibility to the total package.
Astreya Insights
What We Do
Astreya is the leading IT solutions provider for some of the world's most recognizable and innovative organizations. Our journey started in 2001 in the heart of Silicon Valley and reaches thirty-three countries with over 2200+ IT professionals. We enable businesses to make better decisions, achieve operational efficiency and gain a competitive edge. The Astreya advantage is centered around focus and clear- vision, world-class talent, and innovative technology: Creativity is in our DNA. Our dedicated Software and Service Innovation teams bring best-in-class technology and tools to bear for our clients.
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