Sr. ML Ops Engineer - REMOTE WORK - 57851 - PRIMUS Global Services, Inc
Dallas, TX
About the Job
Sr. ML Ops Engineer - REMOTE WORK - 57851
Pay Range - $65 - $70/hr
We have an immediate long-term opportunity with one of our prime clients for a position Sr. ML Ops Engineer to work on Remote basis.
Must Haves:-
1. 7+ years in Data Science or MLOps building and deploying models (specifically Large Language Models (LLMs))
2. Azure and Databricks experience (AWS is ok but they have to be comfortable moving to Azure which can be challenging)
3. Ability to monitor models in production
4. Python development skills
Project Details (Size, Scale, Scope):
- Day to day responsibilities:
- Building their models from scratch (no frameworks or pipelines). Creating prototypes and push into test/production to see how they perform
- Team typically spends 2-3 weeks performing research, then create workbooks for production
- Azure shop (so need to have basic knowledge of suite and how things work in this environment)
- Team uses Databricks to build and scale their ML models
- They Monitor and scale APIs
- Deploy LLMs in Production
- Building Python containers
- Detecting Model Drift
- Use Datadog to monitor cloud platform
- Supporting requirements from multiple teams
- Working closely with Data Science Team to build models off what they present
- No frameworks or pipelines, they build from scratch
Nice to haves (or what gets the win):
1. Datadog
Client Job Description:
Qualifications
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Experience in data engineering, MLOps, or big data solutions deployment
- Experience with a relevant programming language, like Python, R, or Rust
- Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
- Track record of going above-and-beyond expectations to achieve outstanding results
- Demonstrated personal interest in continuous learning and development
- Practical knowledge of Linux, virtualization, containers and networking
- Business-minded technology thinker and problem solver
- Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
- Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
- Intermediate level Python programming skills
- Passion for technology evidenced by personal projects and initiatives
- The work ethic and confidence to shine alongside motivated colleagues
- Professional written and spoken English with excellent presentation skills
- Excellent interpersonal skills, curiosity, flexibility, and accountability
- A dynamic person who loves to jump in new projects and interact with people
- Appreciative of diversity, polite and effective in a multi-cultural, multi-national organization
- Thoughtfulness and self-motivation
- Result-oriented, with a personal drive to follow up and meet commitments
- Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings
- Wide range of open source applications and skills
Responsibilities
- The people who love this role are software engineers who enjoy customer conversations and solving customer problems during the presales cycle
- They are developers who like to solve customer problems through architecture, presentations and training
- They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code
- Work across the entire Linux stack, from kernel, networking, storage, to applications
- Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
- Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
- Collect customer business requirements and advise them on Ubuntu and relevant open source applications
- Grow a healthy, collaborative engineering culture in line with the company values
- Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
- Liaise with product teams to give them feedback on requirements to influence roadmap
- Work collaboratively with your sales team to reach our common targets
- Global travel up to 25% of time for internal and external events and 25% to customer meetings
- Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training
- Work directly with customers in a range of different businesses
- Distributed work environment with twice-yearly team sprints in person
**ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2**
For immediate consideration, please contact:
Nathan
PRIMUS Global Services
Direct 972-798-2669
Desk: (972) 753-6500 Ext. 206
Email: jobs@primusglobal.com
Source : PRIMUS Global Services, Inc
