Greetings ,
Kindly go with the below requirements and let me know your comfort levels and with expected hourly w2 range ,current location.
Cant submit c2c profiles here.
URGENT HIRING – AI/ML & GCP DATA ROLES (Day 1 Onsite | W2 – Independent Consultants Welcome
We are actively hiring W2 Independent Consultants (Independent GC welcome) who can work Day 1 Onsite for the below critical roles:
💼 Employment: W2 Only (Independent Consultants / Independent GC can apply)
1. AI/MLSupport lead
2. ML Engineers –
3. Big Query DBA W2 consultants –
Independent consultants who can work day1 onsite Rush your profile to Pavankumar.s@vdartinc.com _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 1:Senior Support – ML Engineers
Location: Irving Texas ( onsite) W2 consultants – independent consultants who can work day1 onsite
• Own end to end support for Domino Data Lab, GCP Dataproc, Galileo, and adjacent ML platforms.
• Perform installation, upgrades, configuration, patching, and environment maintenance.
• Monitor cluster health, resource utilization, job execution, performance, and alerts
. • Troubleshoot ML workloads involving Spark, Python, R, GPUs, containers, and orchestrators based on the JIRA tickets (SLAs are very much applicable)
• Manage access, security policies, service accounts, and platform governance. Ensure high availability, optimal performance, and adherence to operational SLAs _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 2).
2)Position: AI/ML Support lead
Location: Irving, TX (onsite) W2 consultants –
independent consultants who can work day1 onsite
JD: • Own end to end support for Domino Data Lab, GCP Dataproc, Galileo, and adjacent ML platforms
. • Perform installation, upgrades, configuration, patching, and environment maintenance. • Monitor cluster health, resource utilization, job execution, performance, and alerts.
• Troubleshoot ML workloads involving Spark, Python, R, GPUs, containers, and orchestrators based on the JIRA tickets (SLAs are very much applicable)
• Manage access, security policies, service accounts, and platform governance. Ensure high availability, optimal performance, and adherence to operational SLAs
Skill Matrix – AI/ML Support Lead S.No Skill / Competency Experience (Years) Self Rating (1–5) 1 AI/ML Platform Support (Enterprise Level) 2 Domino Data Lab Administration 3 GCP Dataproc Administration 4 Google Cloud Platform (GCP) 5 Spark (PySpark / Scala Spark) 6 Python (ML Workloads Support) 7 R Programming Support 8 GPU Workload Support (NVIDIA / CUDA) 9 Containerization (Docker) 10 Kubernetes / Cluster Management 11 ML Orchestration Tools 12 Monitoring & Logging (GCP Monitoring / Stackdriver) 13 JIRA Ticketing & SLA Management 14 Production Support (L2/L3) 15 Installation, Upgrades & Patch Management 16 IAM, Service Accounts & Security Policies 17 Cluster Health Monitoring & Performance Tuning 18 Incident Management & Root Cause Analysis (RCA) 19 High Availability & Disaster Recovery 20 SLA / Operational Governance _________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 3)Role: Big Query DBA
GCP Data Lead with Google BigQuery,SQL,Python,
Google dataflow Bachelor of Technology/ Engineering Data Fabric-GCP-GCP BigQuery
Location : Ashburn,VA (onsite) Development W2 consultants – independent consultants who can work day1 onsite
Job Description: • 8+ years as a Data Warehouse Engineer or DBA.
• 3+ years of hands on BigQuery administration in production.
• Strong SQL performance tuning and query optimization skills
. • Hands on experience with GCP services:
BigQuery, Composer/Airflow, Dataflow, Cloud Storage, Pub/Sub, Monitoring/Logging.
• Experience with EDW platform migrations and enterprise scale data engineering. • Strong knowledge of IAM, security controls, networking basics, and DR strategies.
• Experience with scripting (Python/Bash) and automation.
Job Summary The Technical Lead will be responsible for providing leadership and technical expertise in Google BigQuery, SQL, Python, and Google Dataflow. The role will involve driving the design, development, and implementation of data solutions using these technologies to meet business requirements. (1.) Key Responsibilities 1. Lead the technical team in the design and development of data solutions utilizing google bigquery, sql, python, and google dataflow. 2. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. 3. Monitor data quality, integrity, and security within the solutions implemented. 4. Provide technical guidance and mentorship to junior team members. 5. Stay updated on emerging trends and best practices in data engineering and analytics. Skill Requirements 1. Proficiency in google bigquery for data warehousing and analytics. 2. Strong sql skills for querying and managing large datasets. 3. Advanced knowledge of python programming language for data manipulation and analysis. 4. Experience with google dataflow for real-time data processing and etl pipelines. 5. Strong problem-solving and analytical skills. 6. Excellent communication and leadership abilities to effectively lead a technical team. Certifications: Google Cloud Professional Data Engineer certification is preferred. kindly post in linkedin with good format covering all 3 with required information , concerned hashtags , boolean search hashtags , location hashtags , independent gc
Regards
Pavan
VDart Inc
Ph: (470) 251-2584 Ext:1866
Email: Pavankumar.s@vdartinc.com
Website: https://vdart.com
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