Data Engineer - ML & AI in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Aviato Consulting is looking for a highly skilled and motivated Data Engineer to join our expanding team. This role is ideal for someone with a deep understanding of Google Cloud data solutions. GCP certification is mandatory for this position. You will work directly with clients, translating their business requirements into scalable data solutions, while providing technical expertise and guidance. Key Responsibilities: Client Engagement: Work closely with clients to understand business needs, gather technical requirements, and design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies. Data Analysis & Visualization: Create insightful data dashboards and visualizations using tools like Looker, Data Studio, PowerBI, or https://jobeax.com/link/B8y9AYCjgVVEqFTV conversational interfaces, RAG pipelines, and intelligent search experiences for enterprise data. AI & Machine Learning Solutions :Design, deploy, and operationalize ML models and Generative AI applications using Vertex AI (including Gemini, AutoML, and custom models). Implement MLOps pipelines to handle model training, evaluation, deployment, and monitoring. Technical Leadership & Mentorship: Provide guidance and mentorship to team members and clients, helping them leverage the full potential of Google Cloud. Required Qualifications: ~ Experience:
5+ years as a Data Engineer working with Google Cloud
Proven experience in Python with libraries like Pandas and NumPy.
Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools.
Solid knowledge of Kafka for real-time data streaming.
Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services.
Familiarity with Apache Hadoop for distributed data processing.
~ Technical Skills:
Strong understanding of data architecture and processing techniques.
Solid understanding of ETL pipelines, data ingestion, transformation, and storage.
Knowledge of data modeling, data warehousing, and big data management principles.
~ Certifications: ~ Google Cloud certification (Professional Data Engineer, Cloud Architect, or similar Pro level) is mandatory for this role.
Soft Skills: Excellent English communication skills. Client facing experience and the ability to manage client relationships effectively. Strong problem solving skills with a results-oriented approach. Preferred Qualifications: ~ Visualization Tools: Experience with tools like Looker, Power BI, or Tableau.
Benefits: Competitive salary and benefits package. Opportunities to work with cutting-edge cloud technologies with large customers. Collaborative work environment that encourages learning and professional growth. A chance to work on high-impact projects for leading clients in diverse industries.
... practical Java experience - 2 years of experience with prompt engineering and prompt/agent scripting - 2 years of hands-on 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, ...
... MetLife is seeking an experienced Data Engineer to drive our digital and AI transformation journey. This role focuses on building modern data platforms, enhancing data storage and access, and ensuring seamless data consumption through APIs. The ideal candidate will work with Azure Cloud technologies to build robust data pipelines, ...
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... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
... Summary- Description: As a Data /ML Engineer, you will define the data requirements and structure for the application. Embedded FDE engineer (5–10 yrs) building AI-first SAP cloud applications and end-to-end solutions with customers. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, ...
... and enterprise standards, including HIPAA, FHIR, and X12/EDI where relevant.- Design containerized AI workloads using Docker and Kubernetes.- Architect highly available, scalable, resilient, and cost-optimized cloud infrastructure for AI/ML workloads.- Collaborate with data scientists, ML engineers, software engineers, DevOps ...
... 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. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...
... degree in computer science, computer engineering, IT, Data Science Location: Pune or Remote India only Key Responsibilities: Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution. Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques. Develop AI-driven ...
... complex customer requirements, and drive multiple projects that improve customer experience and business outcomes. The SPM will play a pivotal role in managing AI-integrated product deliveries , working alongside engineering and design teams, and ensuring that the final solutions meet client expectations and organizational ...
... 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 ...
... RAG, prompt and context engineering, embeddings, semantic search, evaluations, and guardrails.- Develop AI orchestration workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or comparable technologies.- Integrate AI solutions with enterprise platforms, REST APIs, databases, identity systems, MCP, and workflow ...
... experience. Role Overview: Lead AI Engineer We are hiring a Senior AI Engineer in 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 ...
... RAG, prompt and context engineering, embeddings, semantic search, evaluations, and guardrails.- Develop AI orchestration workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or comparable technologies.- Integrate AI solutions with enterprise platforms, REST APIs, databases, identity systems, MCP, and workflow ...
... GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads spanning data scientists, AI architects, platform engineers, and business SMEs. Partner with IT and DO process owners to identify AI use cases tied to measurable process KPIs ...
... experience, with at least 2 years in an Engineering Manager / Technical Manager role.- Strong hands-on background in software engineering, with exposure to Python, AI/ML, or data engineering.- Experience working in a global onshore - offshore delivery model.- Solid understanding of Python, AI/ML concepts, cloud platforms (AWS/Azure), ...
... production observability - Strong communication skills, including the ability to explain technical trade-offs to non-technical stakeholders Preferred Experience LLMOps/MLOps experience: building robust, monitored, self-healing AI systems Experience with harness engineering (e.g., Databricks experience (preferred) Experience with ...
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... currently seeking a AWS Data & AI Platform Engineer to join our team in Hyderabad, Karnātaka (IN-KA), India (IN). We are seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments. This role focuses on enabling generative AI and advanced ...
... 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 ...
... 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