AI Engineering Lead
11 hours ago
Job Title: AI Engineering Lead
We are seeking an experienced AI Engineering Lead to join our team at Grid Dynamics. This is a unique opportunity to leverage your skills and expertise in designing and deploying end-to-end ML pipelines, building infrastructure for classic DS models and/or LLM/SLMs, and orchestrating CI/CD for ML.
About the Role:
The AI Engineering Lead will be responsible for leading the design and deployment of scalable, resilient ML architectures, collaborating with cross-functional teams (data science, engineering, DevOps), and ensuring the secure implementation of MLOps practices.
Key Responsibilities:
- Design and deploy end-to-end ML pipelines using Azure ML pipeline components, Azure Databricks, and Azure DevOps.
- Buid infrastructure for classic DS models and/or LLM/SLMs, including experience with orchestration (e.g., Kubeflow, Airflow, Azure Data Factory) and containerized ML solutions (e.g., Docker/Kubernetes).
- Implement model and data versioning (e.g., MLflow, DVC) and MLSecOps practices.
- Collaborate with cross-functional teams to ensure smooth implementation and delivery of ML projects.
- Monitor and optimize the performance of production models using tools like Prometheus, Grafana, and ELK stack.
Requirements:
- 7-14 years of experience in AI engineering, with a strong focus on ML pipeline design and deployment.
- Proven expertise in Azure services, including Azure ML, Databricks, and DevOps.
- Experience with orchestration tools (Kubeflow, Airflow, Azure Data Factory) and containerization (Docker/Kubernetes).
- Familiarity with model and data versioning (MLflow, DVC) and MLSecOps practices.
- Cross-functional collaboration experience, including working with data science, engineering, and DevOps teams.
Deliverables:
- A comprehensive list of areas for improvement in existing PepsiCo project.
- Recommendations for MLOps practice, MLSecOps, sample templates, and pipelines.
- Infrastructure recommendations for classic DS models and LLM solutions, primarily focused on fine-tuning SLM by domain.
- Data strategy recommendations, including JIT access to data for training with security guardrails.
Salary:
Expected salary range is $180,000 - $250,000 per annum, depending on location (Hyderabad/Bangalore/Chennai).
About Us:
Grid Dynamics is a leading technology consulting firm providing platform and product engineering, advanced analytics services, and fusing technical vision with business acumen to drive positive outcomes for enterprise companies undergoing business transformation.
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