What are the responsibilities and job description for the Senior ML Ops Engineer position at Photon?
Job Title: Senior ML Ops Engineer
Location: Dallas TX (Onsite)
Job Description:
Must Have - Tech Skills:
- Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months).
- Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle:
- Evaluation Techniques.
- Machine Learning Algorithms.
- Statistical Modeling.
- End to end deployment.
- Metric generation.
- Model monitoring and deployment.
- Prompt Engineering
- Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc.
- Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective.
- Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in:
- Java
- library/dependency management
- Package and distribution management
- Algorithms
- Python
- Tensorflow / PyTorch
- Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
- Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
Must Have - Soft Skills:
- Good Team worker & good collaborations skills.
- Ability to abstract out details, define problem & have clear technical communication.
- Ability to lead inter-team communication.
- Ability to write crisp and effective documentation.
- Ensures that deadlines are met.
Good To Have - Tech Skills:
- Google Cloud Platform ML Tech stack.
- Experienced with Infrastructure as Code (IaC).
- Experience with big data technologies such as Apache Spark or Hadoop.
- Stay informed about the ethical implications of machine learning eg: selection bias.
- Model Training
- Data Analytics - figure out anomalies , skew , discrepancies
- Hands on with developing on device ML System.
Good To Have - Soft Skills:
- Mentoring and Leadership.
- Project Management.
Salary : $80,000 - $100,000