AI/ML Solution Architect in Gurugram, India

... for LLM fine-tuning, RAG pipelines, or agentic AI systems on AWS Demonstrated experience operating in a serverless-first environment and making principled architectural decisions on cost, scalability, and performance AWS certifications (Data Engineer Associate, Solutions Architect Associate or Professional, or equivalent) ...

• Hybrid

... Manage cross-functional squads spanning data scientists, AI architects, platform engineers, and business SMEs. Partner with IT and DO process owners to identify AI use cases tied to measurable process KPIs (cycle time, cost-to-serve, automation rate, quality). Ensure alignment with Nokia's IT governance, architecture standards, ...

About Costco Wholesale: Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience ...

• On-site
• Full-time

... System Architect role at PertSol is a full-time, on-site position based in Mumbai/Delhi/Gurugram. The System Architect will design and define end-to-end system architectures for telecom, intelligence, and security solutions, ensuring scalability, reliability, and security. Daily responsibilities include analyzing requirements, ...

... intelligence pipelines.- Work with structured and unstructured pharma data such as clinical, regulatory, or scientific datasets.- Adapt and evaluate LLMs for domain-specific use cases.- Collaborate with domain experts to translate business requirements into ML/AI solutions.- Own the ML lifecycle from data preparation through ...

... ML-driven features, not just read about them - Native with AI design tooling: Figma Make, v0, Lovable, Cursor, Claude, Midjourney/Sora for concepting. You use AI to move five times faster, not to outsource judgement - Strong systems thinking — information architecture, flows, states, edge cases. Not just screens - Comfortable ...

Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...

... including libraries that support effective data analysis Practical experience developing AI solutions such as classification, clustering, or NLP Good understanding of ML Ops and feature engineering techniques for model workflows Ability to work with Azure AI Search to support business-driven model delivery Solid grasp of software ...

• Remote

... agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote ...

... Machine Learning and Generative AI solutions. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. Develop AI agents using Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar technologies. Integrate AI agents with enterprise APIs, tools, databases, and ...

• Full-time

... Azure, GCP) and MLOps tools. - Familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks. - Proven track record of delivering Gen AI solutions in production. - Experienced in providing technical solutions and working closely with architecture and dev teams to derive the desired outcome. - Strong ...

... skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge of cloud platforms, preferably AWS, and ...

... risk, and transparency challenges. Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications Build and fine-tune models — from gradient-boosted trees and classical statistical models to transformer-based architectures and retrieval-augmented ...

... Partner with Credit Risk Strategists to translate model outputs into actionable credit limits, cutoff thresholds, and loss-forecasting simulations. - Platform Architecture: Collaborate with Data Platform Engineers to build reliable pipelines and high-throughput feature extraction. - Raise the technical bar through peer reviews, ...

• Hybrid

... scale distributed training environments using NCCL and InfiniBand for multi-GPU and multi-node training.- Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to align model behavior with human preferences and domain-specific goals.- Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches.- ...

• Hybrid

... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml

... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client

About the role — We are seeking a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop ...

60k

... frameworks (e.g., Experience with microservices architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience ...

$375 USD

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase ...