Role Description
Role Proficiency:Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering
Outcomes
- Understand and provide input to the application/feature/component designs; developing the same in accordance with user stories/requirements.
- Code debug test document and communicate product/component/features at development stages.
- Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.
- Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models
- Mentor Developer 1 – Software Engineering and Developer 2 – Software Engineering to effectively perform in their roles
- Identify the problem patterns and improve the technical design of the application/system
- Proactively identify issues/defects/flaws in module/requirement implementation
- Assists Lead 1 – Software Engineering on Technical design. Review activities and begin demonstrating Lead 1 capabilities in making technical decisions
Measures Of Outcomes
- Adherence to engineering process and standards (coding standards)
- Adherence to schedule / timelines
- Adhere to SLAs where applicable
- Number of defects post delivery
- Number of non-compliance issues
- Reduction of reoccurrence of known defects
- Quick turnaround of production bugs
- Meet the defined productivity standards for project
- Number of reusable components created
- Completion of applicable technical/domain certifications
- Completion of all mandatory training requirements
Code
Outputs Expected:
- Develop code independently for the above
Configure
- Implement and monitor configuration process
Test
- Create and review unit test cases scenarios and execution
Domain Relevance
- Develop features and components with good understanding of the business problem being addressed for the client
Manage Project
- Manage module level activities
Manage Defects
- Perform defect RCA and mitigation
Estimate
- Estimate time effort resource dependence for one's own work and others' work including modules
Document
- Create documentation for own work as well as perform peer review of documentation of others' work
Manage Knowledge
- Consume and contribute to project related documents share point libraries and client universities
Status Reporting
- Report status of tasks assigned
- Comply with project related reporting standards/process
Release
Design
- LLD for multiple components
Mentoring
- Mentor juniors on the team
- Set FAST goals and provide feedback to FAST goals of mentees
Skill Examples
- Explain and communicate the design / development to the customer
- Perform and evaluate test results against product specifications
- Develop user interfaces business software components and embedded software components 5 Manage and guarantee high levels of cohesion and quality6 Use data models
- Estimate effort and resources required for developing / debugging features / components
- Perform and evaluate test in the customer or target environment
- Team Player
- Good written and verbal communication abilities
- Proactively ask for help and offer help
Knowledge Examples
- Appropriate software programs / modules
- Technical designing
- Programming languages
- DBMS
- Operating Systems and software platforms
- Integrated development environment (IDE)
- Agile methods
- Knowledge of customer domain and sub domain where problem is solved
Additional Comments
We are seeking a visionary AI professional to lead the AIOps team within our Intelligent Automation division. The ideal candidate will bring a minimum of 6 years of experience in AI, with deep expertise in ML, Deep Learning, NLP, and Generative AI. The role requires strong technical leadership, R&D focus, and the ability to mentor and lead a team driving cutting-edge AIOps solutions for IT operations management. Responsibilities:
- Lead AIOps Research: Drive research and development of AI solutions for AIOps, focusing on predictive maintenance, anomaly detection, incident correlation, and root cause analysis.
- Project Leadership: Oversee end-to-end delivery of AIOps AI projects, aligning them with organizational goals and client requirements.
- Technical Expertise: Provide expert-level guidance in ML, DL, NLP, and Generative AI technologies to ensure robust and scalable solutions.
- Innovation in AIOps: Explore and implement advanced Generative AI, Large Language Models (LLMs), and agentic AI for intelligent automation and IT operations.
- Team Leadership: Manage, mentor, and inspire a team of AI researchers, data scientists, and ML engineers, fostering a collaborative and innovative environment.
- Collaboration: Partner with cross-functional teams, including product management, engineering, and business stakeholders, to deliver impactful AIOps solutions.
- Strategic Vision: Contribute to the development of AIOps strategies and roadmaps, defining milestones and objectives that drive innovation and business value. Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree (Master’s or Ph.D.) preferred.
- At least 4 years of experience in AI, with a focus on ML, DL, NLP, and Generative AI applications.
- Proven expertise in AIOps-specific use cases such as predictive maintenance, anomaly detection, and incident management.
- Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn.
- Strong experience with Generative AI and LLMs such as GPT, BERT, or similar transformer models.
- Familiarity with MLOps tools, Databricks, and cloud-based AI services from Azure, AWS, and GCP.
- Demonstrated team leadership experience, with the ability to manage, mentor, and grow technical teams.
- Excellent problem-solving and analytical skills, with a results-oriented mindset.
- Exceptional communication skills to effectively collaborate with diverse stakeholders.
- Ability to operate in a fast-paced, dynamic environment while maintaining a focus on quality and innovation.
Skills
Artificial Intelligence,Machine Learning,Python
