Red Baton - Solution Architect - Artificial Intelligence/Machine Learning

10 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

We are looking for an experienced Solution Architect AI/ML & Data Engineering to lead the design and delivery of advanced data and AI/ML solutions for our clients.

Responsibilities

The ideal candidate will have a strong background in end-to-end data architecture, AI lifecycle management, cloud technologies, and emerging Generative AI Responsibilities :
  • Collaborate with clients to understand business requirements and design robust data solutions.
  • Lead the development of end-to-end data pipelines including ingestion, storage, processing, and visualization.
  • Architect scalable, secure, and compliant data systems following industry best practices.
  • Guide data engineers, analysts, and cross-functional teams to ensure timely delivery of solutions.
  • Participate in pre-sales efforts: solution design, proposal creation, and client presentations.
  • Act as a technical liaison between clients and internal teams throughout the project lifecycle.
  • Stay current with emerging technologies in AI/ML, data platforms, and cloud services.
  • Foster long-term client relationships and identify opportunities for business expansion.
  • Understand and architect across the full AI lifecyclefrom ingestion to inference and operations.
  • Provide hands-on guidance for containerization and deployment using Kubernetes.
  • Ensure proper implementation of data governance, modeling, and warehousing :
  • Bachelors or masters degree in computer science, Data Science, or related field.
  • 10+ years of experience as a Data Solution Architect or similar role.
  • Deep technical expertise in data architecture, engineering, and AI/ML systems.
  • Strong experience with Hadoop-based platforms, ideally Cloudera Data Platform or Data Fabric.
  • Proven pre-sales experience: technical presentations, solutioning, and RFP support.
  • Proficiency in cloud platforms (Azure preferred; also, AWS or GCP) and cloud-native data tools.
  • Exposure to Generative AI frameworks and LLMs like OpenAI and Hugging Face.
  • Experience in deploying and managing applications on Kubernetes (AKS, EKS, GKE).
  • Familiarity with data governance, data modeling, and large-scale data warehousing.
  • Excellent problem-solving, communication, and client-facing & Technology Architecture & Engineering:
  • Hadoop Ecosystem: Cloudera Data Platform, Data Fabric, HDFS, Hive, Spark, HBase, Oozie.
  • ETL & Integration: Apache NiFi, Talend, Informatica, Azure Data Factory, AWS Glue.
  • Warehousing: Azure Synapse, Redshift, BigQuery, Snowflake, Teradata, Vertica.
  • Streaming: Apache Kafka, Azure Event Hubs, AWS Platforms:
  • Azure (preferred), AWS, GCP.
  • Data Lakes: ADLS, AWS S3, Google Cloud Platforms:
  • Data Fabric, AI Essentials, Unified Analytics, MLDM, MLDE.

AI/ML & GenAI

  • Lifecycle Tools: MLflow, Kubeflow, Azure ML, SageMaker, Ray.
  • Inference: TensorFlow Serving, KServe, Seldon.
  • Generative AI: Hugging Face, LangChain, OpenAI API (GPT-4, etc.

DevOps & Deployment

  • Kubernetes: AKS, EKS, GKE, Open Source K8s, Helm.
  • CI/CD: Jenkins, GitHub Actions, GitLab CI, Azure DevOps.
(ref:hirist.tech)

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