AI/ML Specialist Solutions Architect

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

Job summary

An established industry player is seeking a talented MLOps Engineer to design innovative AI solutions that drive business success. In this exciting role, you will leverage cutting-edge technology to develop customer-centric applications while collaborating with engineering and product teams. Your expertise in cloud technologies and machine learning will be crucial as you tackle technical challenges and manage large-scale AI deployments. This forward-thinking company offers a competitive salary, generous benefits, and opportunities for career advancement in a rapidly growing environment. If you're passionate about AI and eager to make an impact, this is the perfect opportunity for you.

Benefits

100% company-paid medical, dental, and vision coverage

20 weeks paid parental leave

Remote work reimbursement

Equity options

Quarterly bonuses

Career advancement opportunities

Qualifications

• 3+ years of experience in cloud technologies and MLOps engineering.
• Strong understanding of ML ecosystems and distributed training.

Responsibilities

• Design AI solutions that maximize business value and align with goals.
• Build long-term relationships with clients and ensure satisfaction.

Skills

MLOps engineering

machine learning engineering

communication skills

distributed training pipelines

client relationship management

Tools

PyTorch

JAX

Terraform

Ansible

Kubernetes

Slurm

Spark

Kafka

Hadoop

Job description

Employer Industry: AI Cloud Services

Why consider this job opportunity:

1. Competitive salary ranging from $125k to $175k base, plus quarterly bonuses and equity options
2. Health insurance with 100% company-paid medical, dental, and vision coverage for employees and families
3. 20 weeks paid parental leave for primary caregivers and 12 weeks for secondary caregivers
4. Remote work reimbursement of up to $85/month for mobile and internet expenses
5. Opportunity for career advancement and growth within a rapidly expanding company
6. Work with cutting-edge technology and contribute to innovative AI solutions

What to Expect (Job Responsibilities):

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

What is Required (Qualifications):

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

How to Stand Out (Preferred Qualifications):

1. Hands-on knowledge of frameworks like PyTorch or JAX
2. Familiarity with programming languages such as Python, Go, Java, or C++
3. Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible
4. Knowledge of orchestration tools such as Kubernetes (K8s) or Slurm
5. Understanding of big data frameworks like Spark, Kafka, or Hadoop

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