Search Jobs
Search by job, company or skills
Search by job, company or skills
Role: AI/ML Engineer
Location : Gurugram (WFO)
About Company:
We are an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. As we expand our operations and scale new heights, we are looking for a detail-oriented and strategic Finance Manager to join our dynamic team and manage the financial health of the organization.
Role Overview:
We are seeking a highly skilled AI R&D Engineer with expertise in large language models, startup dynamics, and building production-grade AI products. You will play a pivotal role in designing, implementing, and optimizing LLM-driven systems that power our next-generation conversational AI solutions.
Key Responsibilities:
Design, train, fine-tune, and evaluate large language models for diverse conversational AI use cases.
Stay updated on the latest advancements in LLMs, NLP, and generative AI.
Propose and implement innovative methods, tools, and frameworks to enhance model performance, efficiency, and reliability.
Collaborate with product managers, software engineers, and UX designers to seamlessly integrate AI models into user-facing applications.
Develop APIs, tools, and infrastructure for deploying models in production environments.
Establish robust evaluation metrics, benchmarks, and automated testing frameworks for conversational systems.
Continuously monitor model performance and iterate based on user feedback and data-driven insights.
Guide and mentor junior engineers in applied AI research, engineering best practices, and MLOps.
Foster a culture of experimentation, excellence, and continuous learning.
Qualifications & Experience:
Core Requirements:
At least 2 years of experience in AI/ML R&D, with a proven track record in working with state-of-the-art NLP and LLM technologies (e.g., GPT, LLaMA, Falcon, PaLM).
Prior experience in fast-paced, high-growth environments with iterative development and evolving priorities.
Strong programming skills in Python.
Proficiency with ML frameworks like PyTorch or TensorFlow.
Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines.
Expertise in fine-tuning LLMs, prompt engineering, and building scalable data pipelines.
Ability to effectively communicate complex ideas to technical and non-technical stakeholders while thriving in cross-functional teams.
If Interested please share your CV at [Confidential Information]
Job ID: 126903605
Skills:
data engineering , Ml, Sql, Python, vector search, embeddings, fine-tuning, Generative AI, Ai, entity extraction, prompt engineering, Evaluation, text2sql, LLM workflows, RAG pipelines, backend integration
Skills:
social network analysis , Machine Learning, Svm, Knn, Random Forest, Artificial Neural Networks, XGBoost, Python, Text Mining, Clustering, Deep Learning, Gcp, Data Visualization, Azure, Vector DB, Statistical Computer Languages, GLM Regression, R, Llama Index, Data Sciences, Decision Tree Learning, Simulation Scenario Analysis, Statistical Techniques, Gen AI, Cloud AWD, Boosting Trees, Prompt Engineering, Retrieval Augmented Generation
Skills:
Dynamics 365, Apis, Power Automate, Microservices, Tensorflow, Gcp, Pytorch, Azure, Python, AWS, Salesforce, Power Apps, Scikit-learn, R, Microsoft Power Platform
Skills:
Integration, Microsoft 365 services, Agentic AI development, Copilot Agent development, workflow automation, Microsoft Copilot Studio development, enterprise solution implementation, Azure AI Foundry agent development, AI agent architecture
Skills:
Microservices, Python, Rest Apis, error handling, AutoGen, LangChain, CrewAI, LLM APIs, prompt engineering
We don’t charge any money for job offers
