... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...
Job Title: AI/ML MLOps Engineer – LLM Fine-Tuning & Deployment Experience: 5–8 Years Location: Hyderabad Employment Type: Full-Time, Hybrid We are looking for an experienced AI/ML MLOps Engineer with strong hands-on expertise in LLM fine-tuning, model deployment, AWS GPU infrastructure, and MLOps. The role involves fine-tuning ...
... Description – AI Developer Location: Hyderabad (Remote/Hybrid) Experience: 4–7 years (Software + AI/ML) Role Type: Full-time We are a fast-growing SaaS company building AI-powered enterprise solutions. leverages AI, NLP, and predictive analytics to turn data into insights. We are expanding our team and seeking an AI Developer to ...
... years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. - 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps). - 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents). - Strong ...
... Context Protocol (MCP) — both consuming MCP servers and building custom MCP server integrations. Experience with Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles. Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent ...
... processing, model development, and production deployment . You will work closely with engineering, product, and business teams to translate requirements into scalable AI/ML solutions and take models from experimentation through production. Requirements KEY RESPONSIBILITIES - Design, develop, test, and deploy scalable AI/ML models ...
... 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. - Master's in Computer Science, AI/ML, or related field. Experience in domain-specific Gen AI applications (e.g., Experience - 5 + Years ...
... We're Looking For:Must Have:- 5+ years of Product Management experience.- 2+ years of hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, ...
... engineering and applied artificial intelligence. As an AI/ML Engineer Intern, you will work with the product and technology team on healthcare-focused AI use cases and gain exposure to generative AI, multimodal systems, medical models, and production-oriented workflows. Responsibilities: - Build and experiment with AI/ML capabilities ...
About the Role PSYC Aerospace & Defence Industries is looking for an AI/ML & Test Engineering Intern to work alongside our engineering team on the development, testing, and validation of AI-driven software and autonomous systems. This is a hands-on engineering role. You will assist with AI/ML experimentation, dataset preparation, ...
This is a remote position. This is a generic application. This is a Paid Service for Training with assured job placement options (remote jobs). Training - Data Analytics (ML) / Data Visualization / AI ML Python AI ML, Python Training - IT Cybersecurity VAPT, SOC IR/Splunk/ELK, DevSecOps/AppSec, DFIR/Forensics Training - ...
... experience is valuable but not mandatory. Capable of independently solving complex engineering problems without relying on AI tools, while still able to use modern AI systems efficiently to accelerate workflows. Develop complex RL environments and sandbox systems used by top LLM teams to train coding agents. Full-Stack Contribution: ...
... external AI retrieval components). Training foundation models from scratch (the emphasis is on building agentic apps and governed retrieval on enterprise data). AI assisted only delivery this role owns the AI behavior (grounding, evaluation, safety) end to end. Faster path from data to decision through conversational + agentic ...
... LevelExperience : 4 - 6 YearsRole Overview :We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using ...
... LevelExperience : 4 - 6 YearsRole Overview :We are looking for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using ...
... through techniques such as quantization, distillation, batching, and caching . Work closely with security researchers to turn emerging attack techniques into training data and detection logic. Build and maintain MLOps workflows covering reproducible training, model registries, monitoring, and safe model rollouts. Use AI-assisted ...
... knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability Additional Details • Work Mode & Location: Full-time, Work from Client (Mumbai)
... Familiarity with data preprocessing, feature engineering, and model optimization techniques. Experience with cloud platforms and distributed computing for scalable ML model training. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, ...
... workflows, intelligent automation, and integration with an existing Java/Spring backend platform. These roles are hands-on software engineering roles, not primarily ML research roles. The team's initial focus areas include semantic/hybrid search and retrieval and AI-powered operational automation such as intent-driven workflows, ...
... LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field. - Strong hands-on experience with Machine Learning, LLMs, and SLMs . - Mandatory experience with LangChain and ...