ML Engineer I

5 - 7 years

17 - 18 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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.

Required Skills

Python,Artificial Intelligence,Machine Learning

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