Overview
Accepts corp to corp applications
Contract - 1 day((s))
Skills
Agentic AI (LangChain
LangGraph
CrewAI
AutoGen
MCP)
Conversational AI
Core AI/ML (LLMs
anomaly detection
supervised/unsupervised ML
deep learning)
Tech Stack (Python
TensorFlow
PyTorch
Hugging Face
APIs)
Grafana
Splunk
Datadog)
Observability & Ops (Prometheus
Job Details
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 functional 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 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:
- 8-15 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 (Gemini, GPT etc).
- Experience leading and working with Agentic AI Frameworks (Langchain, Langraph, CrewAI).
- 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
- independen
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