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Junior Ai Machine Learning Python Jobs in Texas (NOW HIRING)

1872 Consulting

Machine Learning Engineer

Austin, TX · On-site

... help of AI/Machine Learning. The product they offer allows their clients to monitor, manage ... Python -Deep expertise in algorithms and data structures -Exposure to DevOps tooling and best ...

NTT DATA North America

Python Gen AI Developer

Irving, TX · On-site

$46.75 - $64.25/hr

... a Python Gen AI Developer to design, implement, and optimize generative AI models. The role ... machine learning applications aligned with project requirements and business goals.

Compunnel

Machine Learning Engineer

Plano, TX · On-site

The ideal candidate will possess hands-on experience with Azure Databricks, Python-based model ... Experience supporting enterprise-scale analytics, data science, and AI initiatives. * Experience ...

Tata Consultancy Service Limited

AI Developer

Mckinney, TX · On-site

$100K - $130K/yr

Must Have Technical/Functional Skills • Strong knowledge and deep experience of Python and ... Machine Learning & Advanced Analytics • Build, train, tune, and deploy machine learning models ...

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ... Strong Python engineering background * Experience working with AI/LLM technologies and frameworks ...

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Junior Ai Machine Learning Python information

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Texas? For Junior Ai Machine Learning Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Texas look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Texas are:
What cities in Texas are hiring for Junior Ai Machine Learning Python jobs? Cities in Texas with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Machine Learning Engineer

Machine Learning Engineer

1872 Consulting

Austin, TX • On-site

Other

Retirement

Posted 16 days ago

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

1872 Consulting logo

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

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