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Machine Learning Engineer

Spectrix Analytical Services, LLC Remote 🌍 Remote

Remote

Today

$48 - $58/hr Contract Artificial Intelligence Aws Ml Cloud Machine Learning

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Job Description

This contract remote role focuses on building and operating the compute platform, MLOps, and agentic tooling that supports protein therapeutic design. The work connects Kubernetes-based orchestration and monorepo workflows to data and model infrastructure feeding downstream analytics in Snowflake.

Key Responsibilities

Develop and maintain production Python services, pipelines, and CLI tooling.
Build and maintain Helm charts, container images, and deployment infrastructure as part of the daily workflow.
Deploy and operate workloads on Kubernetes across multiple AWS regions and accounts.
Instrument pipelines and models so performance, cost, and benchmark results are measurable.
Partner with scientists and engineering leads to determine what to build, and support adoption through documentation and hands-on guidance.

Required Qualifications

Bachelor’s degree with 7–10 years of relevant experience, or a Master’s degree with 5 or more years of relevant experience.
Strong Python development skills, including experience building production-grade tooling or pipelines.
Working knowledge of Kubernetes, Helm, and container-based deployments.
Experience developing, deploying, or optimizing machine learning pipelines in a production environment.
Familiarity with infrastructure-as-code and CI/CD practices.
Experience with AWS, including multi-region or multi-account deployments.
Experience with data warehousing and ELT patterns, with Snowflake preferred.
Experience operating on a small team (approximately 3–10 engineers) where engineers own systems end to end, set priorities within a goal, and ship without a dedicated QA, SRE, or release function.
Routine use of agentic coding harnesses such as Claude Code, OpenCode, Codex, or equivalent, including understanding where they help and where they do not.
Willingness to learn computational biology and protein science domains.
Effective communication skills for independent remote work and collaboration with both engineers and scientists.

Relevant Technologies

Python
Kubernetes
Helm
Containerized deployments
AWS
S3
Snowflake
CI/CD
Infrastructure-as-code
Claude Code, OpenCode, Codex

Scope of Work

Extend the Kubernetes orchestration platform and the workflows that run on it, including migrating existing application backends onto it.
Make the platform region-agnostic so compute can be scheduled in new AWS regions and accounts using configuration rather than code changes.
Build the registration, versioning, and serving path for models so outputs are available to scientific applications and downstream reporting.
Integrate model output with the data layer instead of leaving results as per-project artifacts.
Build automated benchmarking and retraining for computational tools, LLM models, and agent skills used in de novo design, including GPU-backed benchmarking of larger models, test-set and dataset tracking, and persistent benchmark history.
Incorporate agentic AI into existing scientific applications by defining tools and skills, creating evaluation harnesses, and implementing safe plumbing for agent calls to internal services.
Build reliable S3-to-Snowflake data pulls and automated registration of de novo design results, with monitoring and backfill behavior that does not require manual intervention.
Reduce runtime and cost of existing production pipelines through profiling, GPU utilization, batching, scheduling, and container image improvements.

Contract Details

Location: Remote
Job type: Contract
Pay: USD 48–58 per hour
Minimum experience: 5 years
Education: Master’s degree

Benefits

Automatic life insurance, plus short-term and long-term disability insurance.
Optional health, dental, and vision insurance for full-time employees.
College loan assistance.
Employer matched retirement savings plan.

Company Overview

Spectrix Analytical Services, LLC is a dedicated provider of on-site analytical chemistry services, delivering reliable and high-quality results since 1999. The team of experienced scientists supports research and development efforts across various industries by generating precise analytical data and maintaining sophisticated instrumentation directly at client laboratories.

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