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Contract Machine Learning Startup Jobs in Texas (NOW HIRING)

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...

Varsity Tutors

Machine Learning Tutor

Allen, TX · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Austin, TX · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Texas

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Texas? The most popular types of Machine Learning Startup jobs in Texas are:
What are popular job titles related to Contract Machine Learning Startup jobs in Texas? For Contract Machine Learning Startup jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Texas look for? The top searched job categories for Contract Machine Learning Startup jobs in Texas are:
What cities in Texas are hiring for Contract Machine Learning Startup jobs? Cities in Texas with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you
Machine Learning Engineer

Machine Learning Engineer

Adidev Technologies Inc

Austin, TX • On-site

Full-time

Re-posted 15 hours ago

Job description

Role: Jr-Mid Machine Learning Engineer
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements:
• Degree in Computer Science, Engineering, Statistics, or a related technical field.
• Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
• Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
• Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
• Strong foundational understanding of algorithmic complexity and data structure optimization.
• Excellent problem-solving, collaboration, and communication abilities.
• Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
• Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
• Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
• Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Apply