The Role
Develop and deploy AI/ML solutions for IT managed services, including predictive maintenance, anomaly detection, incident response, NLP, computer vision, network management, and cybersecurity. Responsibilities include model development, data pipeline collaboration, software lifecycle participation, technical documentation, research, compliance, and stakeholder communication. The role requires extensive software engineering and AI/ML experience, cloud and machine learning frameworks, statistical modeling, deep learning, LLMs, and MLOps familiarity.
Summary Generated by Built In
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
Requirements
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
- 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, Artificial Intelligence, Machine Learning, or a related field
- 10+ years of software engineering experience
- At least 4 years focused on AI/ML development
- Strong proficiency in Python or Java
- Experience with TensorFlow, PyTorch, or scikit-learn
- Understanding of data structures, algorithms, and software design principles
- Experience with deep learning, neural networks, and LLMs
- Familiarity with AWS, Azure, GCP, or comparable cloud platforms
- Background in data analysis, statistical modeling, and mathematics
- Experience with Git and CI/CD pipelines
- Excellent problem-solving skills
- Strong communication skills and ability to explain 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
- Knowledge of MLOps practices and tools
- Familiarity with Hadoop or Spark
- Experience with Docker or Kubernetes
- 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.
-
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.
-
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.
-
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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
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.
