AI Lead

Location
Kuwait
Desired Salary
66 - USD/hourly
Work preference
Full Time
Joined
7 Jul 2026
Field / Industry
Software Engineering
Status: Actively looking
Relocation: No
Notice Period: Immediate

This user has not passed any tests yet

English - Hindi - Kannada - Telugu -

About Me

I am a senior AI/ML technical leader with 9+ years of experience delivering AI, LLM, RAG, agentic AI, MLOps, and data-driven solutions across telecom, banking, manufacturing, HR, healthcare, and enterprise domains.

I have led end-to-end AI platform development, from business requirements and architecture design to ETL pipelines, model development, deployment, monitoring, and governance. My work spans supervised ML, NLP, deep learning, multimodal AI, recommendation systems, forecasting, and enterprise copilots.

I focus strongly on business impact. I have helped drive revenue growth, cost optimization, and process automation through AI systems, including measurable enterprise outcomes such as incremental revenue gains and vendor-cost reduction through automation and voice-to-text solutions.

I have extensive experience building and fine-tuning open-source and proprietary LLMs and multimodal models using tools such as Hugging Face, LangChain, LangGraph, Ollama, and cloud platforms including Azure, AWS, GCP, and Databricks. I also work across hybrid and on-prem environments with CI/CD-driven MLOps pipelines.

In my recent roles, I have led AI initiatives for Ooredoo Group, Randstad Digital, Tech Mahindra, ZF Group, and Wipro, delivering production-grade solutions such as AI assistants, recommendation engines, document extraction systems, forecasting models, and HR and resume-related copilots.

I also enjoy mentoring teams, collaborating with senior stakeholders, and translating complex AI capabilities into practical business solutions. I have delivered training sessions through platforms such as upGrad, KnowledgeHut, and Analytics Vidhya, and I continue to build scalable AI systems that create measurable value.

Skills

PythonSQLAWSKubernetesStakeholder ManagementDockerAzureMachine LearningGCPForecastingTensorFlowSolution ArchitectureBusiness StrategyFlask

Education

BITS Pilani
2021 - 2023

M.Tech. in Data Science & Engineering

CGPA 8.65

Sri Venkateswara University, Tirupati
2015 - 2019

B.Tech. in Computer Science

CGPA 8.05

Sri Chaitanya IIT College, Tirupati
2013 - 2015

12th

98.3%

Vijaya Bharathi E.M. School, Chittoor
2013

10th

CGPA 10

Experience

Senior Manager, DS - AI @ Ooredoo Group
Nov 2024 - Present

Led enterprise AI systems including propensity models, forecasting models, LLM-based recommendation engines, NMS AI Assistant, CX Agent, telemarketing assistants, and market lens agents. Managed scheduled AI operations and collaborated with stakeholders to improve customer retention, experience, investment prioritization, and process automation. Delivered measurable revenue growth and cost optimization.

Lead AI Scientist @ Randstad Digital
Nov 2023 - Nov 2024

Worked on Resume GPT, HR GPT, Resume Builder, ETL and BI report rationalization, BRD test case generation, and software component AI copilot for Airbus. Implemented end-to-end AI solutions using PyCaret, Chroma, Pinecone, graph databases, and cloud/on-prem deployments.

Senior Data Scientist @ Tech Mahindra
Sep 2021 - Nov 2023

Built AI-enabled systems for Microsoft projects including CRS VLC Chatbot, AskPDF Copilot, smart quotes generation, anomaly detection, recommendation LLMs, and document extraction. Used OpenAI, transformer models, Azure services, Databricks pipelines, and MLOps strategies to reduce redundant work and improve operational efficiency.

Senior AI Engineer @ ZF Group
May 2021 - Sep 2021

Developed ADAS-related automation for object labeling, lane labeling, and ground truth label generation. Built visualization tools, dashboards, and AI modules to reduce redundant work and improve budgeting and planning.

Data Scientist @ Wipro Ltd.
May 2019 - May 2021

Worked on quality analytics, application shared services, HR analytics, disease management analytics, inventory management, image classification, speech-to-text conversion, and other AI/ML projects. Improved incident handling, reduced human effort, and delivered multiple automation solutions.

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