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Solution Architect (AI/ML Infrastructure Lead)

We are looking for an experienced Solution Architect to lead development of the infrastructure required to support development of our client’s Big Data and AI solutions.

Responsibilities:

  • Lead technical design sessions; Architect, Document and Develop technical solutions aligned with client business objectives; identify gaps between the client’s current and desired end-states
  • Strategize, Design, Architect and implement scalable Big Data & Cloud solutions
  • Build Next Generation Data Platforms on Data Lakes to enhance core DW/BI capabilities
  • Implement Solutions across multiple Cloud distributions: AWS, S3, EC2, Redshift, RDS, NoSQL, EMR and/or Google Cloud, BigQuery or Azure, HDInsights
  • Thoroughly assess client needs and lead effective strategic and technical engagements
  • Devise solution patterns using leading cloud, open-source and vendor technologies
  • Support responses to RFI/RFP’s and other customer inquiries during the sales process
  • Work closely with product teams to improve and support their development and release processes. This will include developing and maintaining in-house tools and scripts to support the product development team’s needs
  • Scoping and defining strategies for robust data collection at scale, contributing to data labeling and annotation efforts and effectiveness in accelerating high-quality data science deliverables
  • Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions

Job qualifications:

  • 3+ years experience successfully delivering Big Data data infrastructure solutions
  • In-depth experience building solutions using public cloud services (AWS, Azure, GCP, etc)
  • Ability to communicate complex technical concepts clearly to clients
  • The ability to develop effective presentations and proposals
  • Experience using data mining techniques and working with data-intensive applications
  • Advanced knowledge of AI/ML models and algorithms and experience operationalizing Analytics for business consumption
  • Knowledgeable and experienced in Application CICD implementations using (for example) GitHub, Jenkins and Nexus
  • DevOps and Agile Methodologies
  • Experience in NoSQL/SQL database design, development, data modeling and building semantic layers
  • In-depth knowledge of Object-Oriented Programming
  • Hands-on development using BI tools like, Looker, Tableau or PowerBI
  • Certified Cloud Architect in AWS, Azure or GCP
  • Fluent English

Join our team of world-class data scientists and data engineers, and challenge yourself with some of the most pressing data science and engineering tasks of modern times!

If you fit the description above, we’d love to hear from you! Email us at hrm@indatalabs.com.