AI and Automation Strategy Development: Design and implement AI and automation strategies to enhance operational efficiency, reduce costs, and improve service quality
Identify opportunities for AI and automation within technology operations and develop a roadmap for implementation
System Integration and Automation: Integrate AI and automation tools with existing IT infrastructure to streamline processes such as incident response, change management, and system monitoring
Develop and maintain scripts and programs for automating repetitive tasks and workflows
Monitoring and Optimization: Implement AI-driven monitoring solutions to proactively detect and resolve issues within the IT environment
Continuously optimize AI and automation solutions to ensure they are operating efficiently and effectively
Data Analysis and Decision Support: Utilize AI and machine learning techniques to analyze large datasets for insights that can drive operational improvements
Create predictive models to forecast potential issues and recommend preventive measures
Incident Management and Response: Develop automated incident response strategies to quickly address and resolve IT incidents
Utilize AI to analyze incident data and identify root causes to prevent future occurrences
Collaboration and Communication: Work closely with cross-functional teams, including DevOps, IT support, and cybersecurity, to ensure seamless integration of AI and automation solutions
Communicate the benefits and progress of AI and automation initiatives to stakeholders and management
AI Model Development and Maintenance: Develop, train, and maintain AI models that are used in technology operations
Ensure models are up-to-date and retrain them as necessary to maintain accuracy and relevance
Documentation and Compliance: Document AI and automation processes, workflows, and solutions for transparency and knowledge sharing
Ensure that AI and automation solutions comply with relevant industry standards, regulations, and best practices
Continuous Improvement: Stay up-to-date with the latest trends and advancements in AI and automation technologies : Continuously seek out new tools, techniques, and methodologies to enhance the effectiveness of technology operations
Role Proficiencies:
Experience with automation tools and platforms like Ansible, Puppet, Chef, or similar
Experience with Azure OpenAI
Solid knowledge of AI and machine learning algorithms and techniques
Knowledge of AI driven Software Development Lifecycle
Knowledge of IT operations and best practices
Proficiency in programming languages such as Python, Java, or R
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services
Proven solid analytical and problem-solving skills
Proven solid Prompt Engineering Skills
Proven excellent communication and collaboration abilities
Experience:
7 - 10 Years
Salary:
25 LPA - 30 LPA
Diversity Candidate:
Yes
Location:
Multiple cities
Address:
Multiple cities
Primary Skills:
like Ansible, Puppet, Chef, Azure Open Ai, AL/ML, like Ansible, Puppet, Chef, or similar