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MLOps Senior Engineer – Vector/LLDS Database & AI Platform Focus(Only W2 Candidate)

MLOps Senior Engineer – Vector/LLDS Database & AI Platform Focus(Only W2 Candidate)

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Duration: W2 (Contract )Candidate Only

Job Description::

Experience – 10 +

Core Technical Skills

- Vector Databases: Hands-on experience with Elasticsearch or similar; understanding of similarity search, indexing strategies, and embedding management.

- Linux Systems: Strong command-line skills; shell scripting; system-level monitoring and debugging.

- Python Programming: Proficient in automation scripting; experience in building AI models, data pipelines, and OpenAI integrations.

- Big Data Technologies: Familiarity with Hadoop-based platforms like MapR and Hortonworks.

AI Platform & Production Support

- Experience supporting predictive AI workloads in production.

- Troubleshooting across data ingestion, model inference, and deployment layers.

- Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes).

- On-call support for GenAI and predictive pipelines (1 week every 6–8 weeks).

- Understanding of enterprise disaster recovery (DR) solutions including backup and restore.

Observability & Monitoring

- Ability to define and implement observability strategies for AI systems.

- Experience with tools such as Splunk, Grafana, ELK stack, OpenTelemetry.

- Proactive monitoring of model failures, latency, and system health.

Bonus Qualifications

- Multi-cloud Experience: Exposure to GCP and Azure environments.

- Data Science Lifecycle: Involvement in full-cycle projects including problem definition, data exploration, modeling, evaluation, training, scoring, and operationalization.

- MLOps Principles: Understanding of model lifecycle management and collaboration with data scientists to deploy solutions

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  IT Services and IT Consulting

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