ML Engineer I

5 - 7 Years

1 Opening

Kochi, Trivandrum

Role Proficiency:

Under guidance from Senior ML Engineers develop ML models that provides accurate results with controls to solve the business problem identified using state of art techniques.

Outcomes:

• Executes relevant data wrangling activities related to the problem in order to create dataset

• Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem

• Fine tune the baseline model for optimum performance

• Test Models internally per acceptance criteria from business

• Document relevant Artefacts for communicating with the business

• Work with data scientists to deploy the models.

• Work with product teams in planning and execution of new product releases.

• Set OKRs and success steps for self/ team and provide feedback to goals for team members

• Work with cross functional teams - business technology and product teams to understand the product vision; building ML solutions that provides value to the product

Measures of Outcomes:

• Selection of the appropriate approach to the problem

• Number of successful deployments of the model with optimised accuracy for baseline model

• Adherence to project schedule / timelines

• Personal and team achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals)

Outputs Expected:

Design to deliver Product Objectives:

• Design ML solutions which are aligned to and achieve product objectives

• Define data requirements for the model building and model monitoring; working with product managers to get necessary data

Updated on state of art techniques in the area of AI / ML :

• Perform necessary research using the latest and state of art techniques to design scalable approaches

• Explain the relevance of the technologies
  
  its pros and cons to the product team; enabling accurate design experiences

Skill Examples:

• Technically strong with the ability to connect the dots

• Ability to communicate the relevance of technology to the stakeholders in a simple relatable language

• Curiosity to learn more about new business domains and Technology Innovation

• An empathetic listener who can give and receive honest thoughtful feedback

Knowledge Examples:

• Expertise in machine learning model building lifecycle

• Clear understanding of various ML techniques with appropriate use to business problems

• A strong background of statistics and Mathematics
• Expertise in one of the domains – Computer Vision Language Understanding or structured data
• Experience in executing collaboratively with engineering design user research teams and business stakeholders
• Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions
• Good knowledge python and deep learning frameworks like Tensorflow Pytorch Caffe
• Familiar with the machine learning model testing approaches
• A genuine eagerness to work and learn from a diverse and talented team

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 10 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 10 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.

Artificial Intelligence,Machine Learning,Python

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.