AI/ML Specialist Solutions Architect

Freddie Mac; Austin (TX); Remote; USD 125,000 - 175,000; Full time

Job summary

A leading AI Cloud Services company is seeking an experienced professional to design innovative AI solutions and manage client relationships. This role entails developing customer-centric strategies, providing technical expertise, and collaborating with cross-functional teams. The position offers competitive compensation, extensive benefits, and opportunities for career growth within a rapidly expanding field.

Benefits

100% company-paid health insurance

20 weeks paid parental leave

Remote work reimbursement

Career advancement opportunities

Qualifications

• 3+ years of experience with cloud technologies.
• Strong understanding of ML ecosystems.
• Ability to set up and optimize distributed training pipelines.

Responsibilities

• Design AI solutions that maximize business value.
• Build client relationships to foster trust.
• Deliver technical presentations and host webinars.

Skills

Cloud technologies

MLOps engineering

Machine learning engineering

Communication skills

Tools

PyTorch

JAX

Terraform

Ansible

Kubernetes

Slurm

Spark

Kafka

Hadoop

Job description

Employer Industry: AI Cloud Services

Why consider this job opportunity:
- Competitive salary ranging from $125k to $175k base, plus quarterly bonuses and equity options
- Health insurance with 100% company-paid medical, dental, and vision coverage for employees and families
- 20 weeks paid parental leave for primary caregivers and 12 weeks for secondary caregivers
- Remote work reimbursement of up to $85/month for mobile and internet expenses
- Opportunity for career advancement and growth within a rapidly expanding company
- Work with cutting-edge technology and contribute to innovative AI solutions

What to Expect (Job Responsibilities):
- Design customer-centric AI solutions that maximize business value and align with strategic goals
- Build and maintain long-term relationships with clients to foster trust and ensure satisfaction
- Deliver technical presentations, produce whitepapers, create manuals, and host webinars for diverse audiences
- Collaborate with engineering and product teams to prioritize and relay customer feedback effectively
- Resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs

What is Required (Qualifications):
- Minimum of 3 years of experience with cloud technologies in MLOps engineering, machine learning engineering, or similar roles
- Strong understanding of ML ecosystems, including models, use cases, and tooling
- Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments
- Expertise in deploying inference infrastructure for production workloads
- Excellent verbal and written communication skills

How to Stand Out (Preferred Qualifications):
- Hands-on knowledge of frameworks like PyTorch or JAX
- Familiarity with programming languages such as Python, Go, Java, or C++
- Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible
- Knowledge of orchestration tools such as Kubernetes (K8s) or Slurm
- Understanding of big data frameworks like Spark, Kafka, or Hadoop

#AI #CloudServices #MachineLearning #RemoteWork #CareerGrowth

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