Presales Solutions Engineer - Delhi job opportunity at Cloudera.

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DateMore Than 30 Days Ago bot
Cloudera Presales Solutions Engineer - Delhi
Experience: 10-years
Pattern: Remote
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degreeHigh School (S.S.C.E)
loacation India-Bangalore-Remote, India
loacation India-Bangalor..........India

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description:   At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. As a Presales Solution Engineer, you will partner and collaborate with the sales team to design, present, and prove Cloudera’s hybrid data platform and AI/ML solutions to end customers. This role requires deep technical expertise, hands-on development skills, and the ability to translate complex concepts into clear, compelling business value for enterprise customers. As a Pre Sales Solutions Engineer you will be responsible for: Customer Engagement & Technical Pre-Sales Lead discovery sessions with enterprise customers to understand business objectives and technical requirements. Deliver impactful presentations, whiteboard sessions, and product demonstrations that clearly convey architectural concepts and value propositions. Drive proof-of-concept (POC) projects, including setup, data integration, and performance validation. Solution Design & Architecture Architect end-to-end data pipelines and AI/ML workflows using Cloudera Data Platform (CDP) across on-prem, hybrid, and public cloud deployments. Design scalable solutions covering data ingestion, streaming, data lakes/warehouses, and machine-learning lifecycle management. Recommend cluster sizing, performance tuning, and security/governance best practices. AI & ML Engineering Build and deploy ML models using Python, Scala, or Java with frameworks such as PyTorch, TensorFlow, or Spark MLlib. Develop reproducible pipelines for model training, testing, and deployment (MLflow, Kubeflow, or equivalent). Collaborate with customer data science teams to accelerate the adoption of Cloudera Artificial Intelligence (CAI) and Agentic workflows ecosystems. Technical Evangelism & Enablement Create reusable demo assets, sample code, and reference architectures highlighting AI/ML capabilities. Demonstrate Cloudera best practices and/or AI/ML integration patterns. Represent Cloudera at industry conferences, webinars, and community events. Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community. We’re excited about you if you have: 10+ years in data engineering, AI/ML engineering, or solution architecture, with at least 1 year in a customer-facing pre-sales or consulting capacity. Experience with GenAI or LLM-based solutions Strong coding ability in Python, prompt engineering, SQL, RDBMS, and at least one additional language (Java/Scala preferred). Deep knowledge of distributed data systems (Hadoop, Spark, Kafka, Iceberg) and major cloud platforms (AWS, Azure, GCP). Hands-on experience building, training, and deploying machine learning models in production. Exceptional presentation and storytelling skills; able to explain complex ideas with clarity to both executives and technical audiences. Ability to deliver crisp presentations and documentation with well-structured arguments. You May Also Have: Experience with containerization and orchestration (Docker, Kubernetes). Familiarity with MLOps practices, CI/CD pipelines, and model monitoring. Understanding of data security, governance, and compliance frameworks (GDPR, HIPAA, etc.). Ability to connect customer goals with Cloudera’s platform vision. What you can expect from us: Generous PTO Policy  Support work life balance with Unplugged Days Flexible WFH Policy  Mental & Physical Wellness programs  Phone and Internet Reimbursement program  Access to Continued Career Development  Comprehensive Benefits and Competitive Packages  Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-SV1

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