Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their ...
Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their ...
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Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their ...
Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their ...
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Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-12438# **As passionate about our people ...
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Evening Machine Learning Engineer Biotech information
What is the difference between Evening Machine Learning Engineer Biotech vs Evening Data Scientist Biotech?
| Aspect | Evening Machine Learning Engineer Biotech | Evening Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools |
| Work Environment | Developing ML models, coding, deploying algorithms in biotech settings | Analyzing datasets, creating reports, interpreting data in biotech companies |
| Employer & Industry Usage | Biotech firms, research labs, pharmaceutical companies | Biotech firms, research institutions, healthcare organizations |
While both roles involve working with data in biotech, the Evening Machine Learning Engineer Biotech focuses on developing and deploying machine learning models, whereas the Evening Data Scientist Biotech emphasizes data analysis and interpretation. Both roles require strong technical skills and are integral to biotech innovation, but they differ in daily tasks and technical focus.
What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Texas?
The most popular types of Machine Learning Engineer Biotech jobs in Texas are:
What cities in Texas are hiring for Evening Machine Learning Engineer Biotech jobs?
Cities in Texas with the most Evening Machine Learning Engineer Biotech job openings:
Job description
Machine Learning Engineer (Austin, TX)
Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business.
They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join their team in their fastest growing stages.
Location: Austin, TX
Salary: 140K-190K
Bonus: annual and performance based
401K Match: n/a
Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success.
Position Summary
As a Machine Learning Engineer on the Striveworks Technical Engagements team, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be a key representative and solutions provider to sites and customers where Striveworks' proprietary data platform is deployed.
You will integrate and apply this platform, and rapidly prototype and deliver machine learning capabilities for customers. You'll tackle real world problems as they unfold, utilizing your technical and communication skills to provide reliable and scalable solutions.
At times, you will be tasked with on-site travel to customer locations. At other times, you will be based in Striveworks' Austin, TX headquarters.
Requirements
-Able and willing to travel domestically and internationally up to 10%
-B.S. Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience
-Excellence in Python
-Deep expertise in algorithms and data structures
-Exposure to DevOps tooling and best practices (Git, Docker, Kubernetes, CI/CD tools)
-Familiarity with relational and non-relational database design and architecture
-Familiarity with Javascript
Nice To Haves
-Experience with ETL/data pipelines
-Understanding of JavaScript frameworks (React, Vue, or Angular)
-Experience designing RESTful or GraphQL APIs
-Comfortable with Cloud Architecture
-Tensorflow/PyTorch experience
-Knowledge of messaging systems like Kafka, RabbitMQ, or similar
-GoLang/Flyte experience
About 1872 Consulting
Sourced by ZipRecruiter
1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2014