Software Engineer - Ai/ml Operations Job in Addepar
Software Engineer - Ai/ml Operations
Addepar
4 weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
Job Summary
Qualification : 2+ years of relevant work experience and 4+ years of overall experience that shows proficiency in platform development, particularly in enabling Machine Learning and AI outcomes
The Role
This is an exciting opportunity to join Addepar's innovative data team and build an AI/ML Ops platform from the ground up. You'll be responsible for:
- Building and scaling a platform: Accelerate AI adoption across teams.
- Data & Infrastructure: Advise on data governance and infrastructure for AI/ML.
- Streamlining processes: Develop efficient data architecture and workflows.
- Data Governance: Implement strategies to ensure data quality and value.
Who You Are
- Experience: 2+ years in platform development with a focus on AI/ML.
- Cloud Skills: Proficient in AWS, GCP, or Azure for ML workloads.
- CI/CD Expertise: Experienced in building, automating, and optimizing ML pipelines.
- Containerization: Familiar with Docker and Kubernetes for model deployment.
- Monitoring & Observability: Skilled in tools like FiddlerAI, Datadog, and Grafana.
- Infrastructure as Code: Knowledge of Terraform, Ansible, or CloudFormation.
- ML Lifecycle Management: Familiar with Kubeflow, MLflow, or TFX.
- Collaboration & Problem-Solving: A team player who takes ownership and delivers.
Bonus Points
- Experience with large language models (LLMs) and their observability.
- Handling large datasets and high-velocity data streams.
- Proficiency in ML frameworks like TensorFlow or PyTorch.
- Financial domain knowledge.
- PySpark or Databricks experience.
Benefits:
- Collaborative and supportive work environment.
- Opportunity to work on impactful projects.
- Addepar's commitment to diversity and inclusion.
Qualification : 2+ years of relevant work experience and 4+ years of overall experience that shows proficiency in platform development, particularly in enabling Machine Learning and AI outcomes
Experience Required :
Minimum 4 Years
Vacancy :
2 - 4 Hires
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