• Job ID:

  3039

• Job Title:

  Azure Devops with Data Engineer

• Location:

  Remote

• Duration:

  6 Months + Extension  

• Hourly Rate:

  Depending on Experience (DOE)

• Work Authorization:

  US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

• Client:

  To Be Discussed Later

• Employment Type:

  W-2, 1099, C2C

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Role: Azure Devops with Data Engineer
Bill Rate: $73/hour C2C
Location: Remote
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Teams
Direct Client Requirement

Job Description:
Azure cloud – Devops, CICD, Artifactory and experience in migrating application to cloud
Data Science – Experience in Model ops, understanding of AIML model monitoring metrics and model development
Data engineering – Airflow, ELK, Dockers and Kubernetes
Strong hands on in Python and SQL
· Data Science and data engineering Experience with good understanding of Data Science, Azure DevOps, Azure data factory, Model Ops, Python, SQL, Dashboarding, Model Ops, Airflow, CI/CD, Kubernetes, Kibana and model governance
· Demonstrates a strong capacity to understand client needs and collaborate effectively with both internal teams and external stakeholders to achieve successful project outcomes. This involves actively listening to client feedback, translating business requirements into actionable technical tasks, and fostering open communication channels throughout the project lifecycle. By engaging in regular status updates and collaborative planning sessions, ensures alignment of project objectives, timely delivery of milestones, and overall client satisfaction.
· Ability to quickly learn and adapt to emerging tools and technologies, as well as support the team in understanding and ramping up on new platforms or frameworks through effective knowledge sharing and training sessions.
· Data Engineering Ability to manage, preprocess, and pipeline large datasets efficiently.
· Machine Learning: Strong understanding of ML algorithms, model monitoring, and evaluation techniques.
· Understanding of AI, ML and GenAI application post production monitoring metrics
· Performance monitoring of AI/ML Models, understanding of metrics for model monitoring and maintenance.
· DevOps: Strong experience with CI/CD pipelines, containerization (e.g., Docker), orchestration (e.g., Kubernetes), and automation tools.
· Azure DevOps experience
· Cloud Computing: Experience with cloud platforms such as Azure, Cloud for scalable deployment and management.
· Experience in onboarding applications in Azure cloud
· Software Development: Proficiency in Python programming languages; version control (e.g., Git).
· Hands on with SQL and experience in PostgresSQL DB
· Monitoring & Maintenance: Skills in deploying monitoring solutions, troubleshooting, and maintaining model performance in production.
· Utilise Airflow for data orchestration, develop DAGs, and effectively troubleshoot any issues
· Security & Compliance: Knowledge of data privacy, security best practices, and regulatory requirements.
· Collaboration & Communication: Ability to work with cross-functional teams and clearly document processes and findings.

NOTE: Thank you for visiting our jobs page. Please submit your application using the Apply Now link. Our recruitment team is currently reviewing all applications thoroughly. We will be in touch with candidates who are shortlisted for the next stage of the interview process.

Valiant Technologies LLC
166 Geary St
San Francisco, CA 94108
Phone: (415) 935-9966
srinivasa.kandi@valianttec.com

Tags: Srinivasa Reddy Kandi, #SrinivasaReddyKandi, @SrinivasaReddyKandi, Srinivasa Kandi, #SrinivasaKandi, @SrinivasaKandi, Kandi Srinivasa Reddy, #KandiSrinivasaReddy, @KandiSrinivasaReddy

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