AI ML AND BUSINESS ANALYST in Pune, India

312k

... and responsible AI practices Collaborate with product, data, and platform teams to deliver business solutions Bachelor's or master's degree in computer science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based ...

... and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration ...

• Full-time

... Platform Development Drive the architecture of AI-native commercial data platform, ensuring it is modular, scalable, and agent-ready. Collaborate with product and data teams to translate pharma commercial business requirements into agentic workflows. Ensure data governance, compliance (HIPAA, GDPR), and security standards ...

... Generative AI, GPT/LLMs and Agentic AI across business applications. Key Responsibilities Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets . Research and develop novel AI and Generative AI algorithms and techniques . Design, develop and optimize end-to-end AI/ML solutions for various applications. ...

... experienced AI Architect to design and deliver scalable, secure, and enterprise-grade AI solutions aligned with business requirements. The role will focus on AI/ML architecture, Generative AI, LLMs, RAG, cloud-native applications, and end-to-end solution delivery while ensuring responsible AI, security, privacy, and operational ...

... solve complex business problems. The ideal candidate combines strong data science and machine learning expertise with practical software engineering skills and hands-on experience building AI applications in production environments. Design, develop, and deploy AI agents and AI-powered applications for internal business stakeholders. ...

• On-site
• Full-time

$ 25300 - $ 38600 p.a.

... degree in AI/ML Bachelor's degree in a related technical field Responsibilities Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms Develop and maintain scalable AI/ML pipelines, data preparation workflows, and cloud-native integrations ...

... into AI solutions. Ensure model performance, fairness, and explainability through rigorous testing and validation. Deploy models to production using MLOps tools and monitor their performance over time. Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems. ...

... https://jobeax.com/link/sR0FjrIVq5iHpgo8 ideal candidate will be responsible for defining AI architecture, designing scalable and secure AI platforms, and translating complex business requirements into robust enterprise AI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : - Define and architect end-to-end AI/ML and Generative AI ...

... reliability, performance, and cost efficiency. This role will work closely with business stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. ...

• Remote

... Strong experience in ML/DL model development , including training, fine-tuning, and evaluation. - Proven experience in team monitoring, performance tracking, and delivery management . - Demonstrated ability in mentoring, coaching, and leading engineering teams . - RIA Advisory LLC (RIA) is a business advisory and technology ...

... compliance, documentation, and stakeholder communication. Candidate Persona - 8-12 years of Project Management experience in technology companies . - Proven experience handling enterprise-level Indian customers , understanding their business culture and delivery expectations. - Strong exposure to AI/ML-based product implementations ...

... Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive cross-functional alignment between business, data, and engineering https://jobeax.com/link/7CpQ1UBuqJUS25b5 ...

• Remote

... Deloitte Technology Fast 500™ ranked AiDASH No. AiDash is looking for an experienced Manager – AI Data Ops to lead a team responsible for sourcing, processing, and annotating satellite and remote sensing imagery that powers our AI/ML models. This role blends hands-on GIS expertise with strong people management and vendor ...

... Design distributed, cloud-native, API-driven, and data-intensive applications on Azure and/or AWS.- Implement scalable solutions using Docker, Kubernetes, CI/CD, and infrastructure-as-code practices.- Collaborate with architecture, cloud, security, operations, product, and business teams to deliver reliable and secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW ...

... Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 1+ year of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian ...

... platforms. Exposure to annotation/ML workflow tools or ML model validation platforms. Comfort working in Agile, distributed teams using tools like Git, JIRA, and Slack. You'll work at the intersection of AI, data infrastructure, and impact—contributing to platforms that ensure AI is explainable, auditable, and ethical ...

... Design distributed, cloud-native, API-driven, and data-intensive applications on Azure and/or AWS.- Implement scalable solutions using Docker, Kubernetes, CI/CD, and infrastructure-as-code practices.- Collaborate with architecture, cloud, security, operations, product, and business teams to deliver reliable and secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW ...

• Full-time

... 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 and solutions ...