Senior ML Ops Engineer - Dallas, TX
At a glance
Senior ML Platform & Ops role at Fa Ertb Saasfaprod1. United States · $51,000–$178,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Design and build scalable machine-learning systems, taking ownership of lifecycle stages from evaluation and modeling through deployment
- Generate model metrics and monitor deployed systems, using prompt engineering where the work calls for it
- Improve model efficiency through techniques such as quantization, pruning or speculative decoding
- Find and resolve system-level bottlenecks that affect machine-learning workloads
- Use Java, Python and TensorFlow or PyTorch to implement machine-learning systems and manage Java packages and dependencies
What you bring
- You have recent hands-on experience designing and implementing scalable ML systems, including work in the past year
- You have practical experience across parts of the ML and MLOps lifecycle, including algorithms, statistical modeling, deployment and monitoring
- You have recently used Java, Python and TensorFlow or PyTorch on projects, with Java library and package management experience
- You understand DevOps practices and tools such as CI/CD pipelines and Terraform, plus containers such as Docker or Kubernetes
Who this fits
This senior role suits an engineer who can take technical ownership, communicate clearly across teams and deliver documentation on deadline. It is offered to independent contractors; full-time employees can access the listed benefits. The stated annual compensation range is USD 51,000 to USD 178,000.
From the employer
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
Must Have - Tech Skills: 1. Hands on with designing end to end scalable ML system (should have worked on recent projects within last 12 months).
2. Hands on with implementation of scalable ML system. Proven ownership across entire or partial ML and MLOps lifecycle:
a. Evaluation Techniques.
b. Machine Learning Algorithms.
c. Statistical Modeling.
d. End to end deployment.
e. Metric generation.
f. Model monitoring and deployment.
g. Prompt Engineering,
3. Hand on with ML Model optimization - quantization, pruning, or speculative decoding etc.
4. Hand on with ML Model system optimizations ie ability to quickly identify bottlenecks and resolve them from System perspective.
5. Programming & Frameworks: Hands on and have worked on recent projects (within last 12months) in:
a. Java
i. library/dependency management
ii. Package and distribution management
iii. Algorithms
b. Python
c. Tensorflow / PyTorch
6. Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).
7. Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
Must Have - Soft Skills: 1. Good Team worker & good collaborations skills.
2. Ability to abstract out details, define problem & have clear technical communication.
3. Ability to lead inter team communication.
4. Ability to write crisp and effective documentation.
5. Ensures that deadlines are met.
Good To Have - Tech Skills: 1. GCP ML Tech stack.
2. Experienced with Infrastructure as Code (IaC).
3. Experience with big data technologies such as Apache Spark or Hadoop.
4. Stay informed about the ethical implications of machine learning eg: selection bias.
5. Model Training 6. Data Analytics - figure out anomalies , skew , discrepancies
7. Hands on with developing on device ML System.
Good To Have - Soft Skills:
1. Mentoring and Leadership.
2. Project Management.
Compensation, Benefits and Duration
Minimum Compensation: USD 51,000
Maximum Compensation: USD 178,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post