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
Outputs Expected:
Code:
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:
Execute release process
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
+ 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: o Lead AIOps Research: Drive research and development of AI solutions for AIOps, focusing on predictive maintenance, anomaly detection, incident correlation, and root cause analysis. o Project Leadership: Oversee end-to-end delivery of AIOps AI projects, aligning them with organizational goals and client requirements. o Technical Expertise: Provide expert-level guidance in ML, DL, NLP, and Generative AI technologies to ensure robust and scalable solutions. o Innovation in AIOps: Explore and implement advanced Generative AI, Large Language Models (LLMs), and agentic AI for intelligent automation and IT operations. o Team Leadership: Manage, mentor, and inspire a team of AI researchers, data scientists, and ML engineers, fostering a collaborative and innovative environment. o Collaboration: Partner with cross-functional teams, including product management, engineering, and business stakeholders, to deliver impactful AIOps solutions. o Strategic Vision: Contribute to the development of AIOps strategies and roadmaps, defining milestones and objectives that drive innovation and business value. Qualifications: o Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. o At least 4 years of experience in AI, with a focus on ML, DL, NLP, and Generative AI applications. o Proven expertise in AIOps-specific use cases such as predictive maintenance, anomaly detection, and incident management. o Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. o Strong experience with Generative AI and LLMs such as GPT, BERT, or similar transformer models. o Familiarity with MLOps tools, Databricks, and cloud-based AI services from Azure, AWS, and GCP. o Demonstrated team leadership experience, with the ability to manage, mentor, and grow technical teams. o Excellent problem-solving and analytical skills, with a results-oriented mindset. o Exceptional communication skills to effectively collaborate with diverse stakeholders. o Ability to operate in a fast-paced, dynamic environment while maintaining a focus on quality and innovation.
Skills
Artificial Intelligence,Machine Learning,Python
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.
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