MD
AI/ML & Analytics Platform Engineer
Macpower Digital Assets Edge Private Limited
🇺🇸 United States
On-site
5 days ago
$110,000 – $150,000 / year
- AI/ML
- Regulatory Compliance
- IaC
- GitOps
- Python
- SQL
- PyTorch
- TensorFlow
- AWS
- Terraform
- OpenTofu
- Pulumi
- CI/CD
- Docker
- Podman
- Kubernetes
- GitHub
- GitLab CI/CD
- GitHub Actions
- Jenkins
- Jira
- Agile
- C++
- Java
- Rust
- Ray
- Dask
- Slurm
- Databricks
- Snowflake
- dbt
- ArgoCD
- GCP
- Azure
- ONNX
- TensorRT
- Triton
- CUDA
5 days ago
Key Responsibilities:
- Contribute to building AI/ML & Analytics platform, services, and tools across dev, test, and prod environments to accelerate model training, inference, and deployment.
- Build capabilities for batch and real-time workflows at scale with flexible deployment strategies for use cases like low-latency predictions and offline inference.
- Improve platform performance, reduce manual intervention, scale compute, and increase deployment efficiency.
- Collaborate with cloud teams to ensure operational effectiveness, reliability, security, and efficiency.
- Provide technical guidance on monitoring systems like registries and alerting, plus governance frameworks for regulatory compliance.
- Work with cross-functional teams on AI/ML system architecture, deployment pipelines, and solution scaling.
- Champion self-service patterns, IaC, and GitOps for platform development.
- Experience building scalable AI/ML & Analytics platforms for ML Researchers, Engineers, Data Scientists, and Analysts.
- Proficiency in Python, Spark, SQL, and ML frameworks like PyTorch or TensorFlow.
- Strong AWS knowledge, including AI/ML services like SageMaker.
- IaC tools such as Terraform, OpenTofu, CDK, or Pulumi, plus CI/CD pipelines.
- Containerization with Docker or Podman, and orchestration with Kubernetes or Rancher.
- VCS like GitHub or GitLab, CI/CD tools like GitHub Actions or Jenkins, and JIRA.
- Ops fundamentals including registries, observability, monitoring, performance analysis, and cost optimization.
- Hands-on problem-solving for technical and architectural challenges in scalable, secure platforms.
- Automation-first mindset with security consciousness and focus on developer experience.
- Strong communication to engage stakeholders effectively.
- Ability to work collaboratively in cross-functional, agile teams valuing individual development.
- Pharma/biotech domain experience.
- Strongly typed languages like C/C++, Java, Go, or Rust.
- Large-scale distributed systems like Ray, Dask, Spark, or HPC like Slurm.
- Data platforms like Databricks, Snowflake, or dbt with Delta, Iceberg, Hudi.
- Real-time streaming like Kafka or Spark Streaming.
- GitOps tools like ArgoCD or Crossplane.
- Multi-cloud (AWS, GCP, Azure).
- High-performance inference frameworks like ONNX Runtime, TensorRT, or Triton.
- Large-scale CPU/GPU infrastructure with CUDA knowledge.
AI/ML & Analytics Platform Engineer · Macpower Digital Assets Edge Private Limited