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:

Measures of Outcomes:

Outputs Expected:

Design to deliver Product Objectives:

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

Skill Examples:

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