70 Job openings found

Job Details:   Job Title: Prompt Engineer  Experience:6 to 10 Years Type:Remote  | Full-time Employment Notice Period: Immediate to 30 Days   Role Overview: We are seeking skilled professionals with expertise in Prompt Engineering to enhance the performance and accuracy of Large Language Models (LLMs) across a variety of complex tasks, including intelligent data extraction from scanned documents and text automation.   Key Responsibilities: Design, test, and optimize ...

  We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: o Build and optimize document classification & information extraction pipelines o Build Agentic AI for FinTech usacases o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks o Implement LLM ...

What You’ll Do Design Intelligent Architectures: Lead the design of secure, scalable cloud-native and hybrid architectures optimised for AI innovation. Develop & Accelerate: Build GenAI components, multi-modal agents, fine-tune LLMs, and work on reusable modules using tools like LangGraph and LangChain, automate workflows using platforms like n8n. Cloud Leadership: Architect and implement solutions ...

We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: Build and optimize document classification & information extraction pipelines Build Agentic AI for FinTech usacases Train/fine-tune NLP models (Transformers/LLMs) for classification tasks Implement LLM ...

Position Overview  We are seeking a skilled and versatile Full Stack AI Engineer with 7+ years of professional experience in software engineering with end-to-end application development and minimum 2+ years of artificial intelligence. The ideal candidate will play a key role in designing, developing, and deploying robust AI-powered applications, working across ...

Role: Data Scientist -Python+Google Cloud PlatformWork Mode: Onsite- PermanentLocation- Bangalore Year of Experience: 5-7 Years No of Positions: 1 Notice Period: Immediate or 15 days   Good To Have Skills: Pytorch, ML Flow, SparkMust Have Skills: Open AI/Generative AI, Google Cloud Platform, Large Language Models (LLM), Retail, Python, SQLExternal DescriptionWe are seeking an AI/ML Engineer to design, develop, and implement models for retail ...

What You’ll Do Build AI Modules: Develop and test GenAI components, RAG pipelines, and multi-modal agents using frameworks like LangChain/LangGraph. Experiment with LLMs: Work with OpenAI, Anthropic, Mistral, Phi, etc. Fine-tune prompts, optimise performance, and prototype new ideas. Automation & Integration: Build Python-based scripts and automate workflows using n8n and cloud-native tools. Cloud Exposure: ...

About the role We are building the analytics layer over our ERP app. You’ll own the analytics engineering core: modelling raw change-data into clean marts, instrumenting tests/docs, and shipping decision-grade dashboards that our users can reason over. Model the warehouse Design and implement stg_ , dim_ , fact_ , and mart_ layers in ...

Project Duration- 3 months (extendable 6 months) Rate-1.60 Lac Pm Exp- 4-7 yrs Bangalore Hybrid   Required Skills & Qualifications: Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies. Proficiency with Azure Databricks. Strong analytical, problem-solving, and stakeholder communication skills. Solid understanding of data governance frameworks, compliance, and internal controls. Experience in data quality rule development, profiling, and implementation. Experience with ...

Mandatory Skills: Champion the entire ML lifecycle, from data exploration and feature engineering to model selection, training, evaluation, deployment, and maintenance. Experience in developing application using LLM models, Generative AI Experience in using RAG, Fine Tuning LLM models (Llama, Gemma etc) Knowledge of Python, R,  or other AI/ML tools Knowledge AI/ML libraries frameworks like Langchain, Transformers, ...