AI/ML Data Supervisor in Bengaluru, India

... 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

60k

... Extensive experience in building, consuming, and optimizing RESTful APIs, with proficiency in tools like Swagger, Postman, or similar. - Strong knowledge of SQL databases and querying languages - Demonstrated experience in building and maintaining robust CI/CD pipelines using tools such as Jenkins or GitLab CI. - Exceptional ...

$375 USD

... 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 GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads ...

• 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, ...

• Full-time

... 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, function calling, AI evaluation, voice AI/conversational AI and human-in-the-loop ...

• Hybrid

... with Azure OpenAI, Azure AI Studio, Azure AI Search, or equivalent platforms where ML and GenAI capabilities coexist Experience contributing reusable frameworks, MLOps standards, internal accelerators, or shared data science utilities Working knowledge of distributed training, large-scale data processing, and performance optimization ...

... field. - Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data. - Strong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production. - Strong ...

... Scikit-learn) and statistical analysis. Time series models (Prophet, XGBoost, LSTM for Azure ML). Model performance tracking and retraining strategies using Azure ML. Exposure to AI based solutions in areas of Search, product meta-data generation or discovery. Experience in designing and implementing Data Science best practices ...

• Remote
• Hybrid
• On-site

... experience integrating third-party AI/ML services and platform APIs (e.g., OpenAI, Anthropic, Salesforce and other SaaS) - Proven ability to design and manage domain-specific languages, prompt templates, and agent instruction frameworks - Develop and optimize microservices that power high-performance data and embedding pipelines, ...

... 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 pipelines, API integrations, and modern AI application ...

• 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 ...

... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...

... performance.- Develop and optimize AI-driven extraction workflows using document parsing, chunking, embeddings, RAG, and LLM-based extraction methods.- Deploy and scale AI models on AWS and Azure (SageMaker, Bedrock, Azure AI Foundry) with seamless integration into data pipelines.- Build and maintain CI/CD pipelines for AI model ...

... building intelligent systems, working with large datasets, and developing scalable AI/ML https://jobeax.com/link/XnflZD2dGSZYgXFG 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- ...

• Full-time

... 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)

... experience with machine learning, deep learning, and statistical modelling. Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering. Experience with Microsoft Azure cloud platform, AWS and Google Cloud would be added advantage. Knowledge of MLOps, model deployment, ...

... seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: ...

Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...

... Advanced SQL querying and optimization for large datasets. - Practical experience in training, tuning, and testing ML algorithms (e.g., familiarity with modern ML/DL approaches. - Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions. ...

1350

... libraries (e.g., Proven track record of leading complex, end-to-end data science projects that have delivered significant business impact. Experience with cloud-based ML platforms / ML ops (e.g., AWS SageMaker, MLflow) and their generative AI services Familiarity with frameworks like LangChain or LlamaIndex or Agent Development ...