ML Architect

3 weeks ago

Hyderabad, India Tata Consultancy Services Full time

Role: ML Architect

Experience range: 8-10 years

Location: Hyderabad ONLY


Job description:


Areas of Focus: Slackbots, Anomaly Detection, Event

Correlation, AIOPS for Infra, Smart Answers


Roles & Responsibilities:

•Experiment and Develop: You will drive the end to end machine learning project lifecycle using best practices and well managed software delivery

•Lead the design and development of virtual assistants using Conversational AI platforms

•Leads efforts to foster innovative ideas for developing high impact solutions.

•Helps in design and develop advanced analytic solutions across unctional areas as per requirement/opportunities.

•Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML.

•Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage.

•Support and advise teams on best practices regarding LLM usage and

GenAI technologies. Specifically geared towards NLP use cases. •Lead complex and technically challenging projects from concept to completion

•Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction

•Understand the requirements and design the conversational flows.

•Develop Intent and Entities for chatbot.

Preferred Profile:

  • 8-10 years of experience in implementing AI/ML models in
  • enterprise systems
  • In-depth understanding of AI/ML concepts, including supervised
  • and unsupervised learning, deep learning, anomaly detection,
  • and large language models.
  • Proficiency in Python and experience with relevant libraries
  • and frameworks (Pandas, Numpy, Tensorflow etc.)
  • At least 5 years of relevant experience in design, development,
  • and deployment of conversational bots
  • Experience working with Observability tools like Prometheus,Splunk, Datadog & Grafana.
  • •Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI
  • •Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
  • •Experience with web services integration
  • •Excellent troubleshooting and analytical skills in a complex, distributed environment.
  • •Excellent communication, presentation and collaboration skills. •Self-starter with ability to work independently

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