AI/ML Solution Architect in Gurugram, India

... 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 ...

• Full-time

... 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, ...

... business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, ...

• Full-time

... self-service resolution.- Reduce support workload while maintaining or improving customer experience.- Improve first-contact resolution, response time and resolution time.- Design appropriate AI-to-human escalation and handoff mechanisms.- Continuously improve AI using customer conversations and support data.4. AI for Clinical ...

Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...

• Hybrid

176k

... the role : We are looking for a AI offensive Security researcher / Senior AI Security Engineer/Architect with MLSecOps experience to lead the next generation of AI-native security at https://jobeax.com/link/55bAhFuItfSjCwyh will own two parallel missions : securing o9's GenAI platform and agentic AI ecosystem from emerging ...

• Remote
• Hybrid
• On-site

... production IaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker, Azure OpenAI, Vertex AI) Experience with Kubernetes and containerization is welcome; experience serving models or deploying inference/GPU workloads is a plus Be transparent about challenges, failures, and successes, including ...

... Generation (RAG), Agentic AI workflows, Prompt Engineering, and AI solution design.- Experience designing enterprise-scale AI, data, cloud, and integration architectures.- Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.- Strong understanding of MLOps, data ...

• Remote
• Part-time

... intelligence and machine learning projects while contributing to meaningful technology initiatives. Responsibilities - Support the development and testing of AI and machine learning solutions under guidance from experienced team members. - Assist with data preparation, exploratory analysis, model experimentation, and performance ...

... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...

... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...

... Responsibilities :- Build, train, and optimize Machine Learning and AI models- Work on data analysis, feature engineering, and model evaluation- Develop scalable AI/ML pipelines and workflows- Work with structured and unstructured datasets- Collaborate with engineering and product teams to deliver AI-driven solutions- Implement ...