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Contract Machine Learning Startup Jobs in Georgia

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression ... as well as contract-specific affordability and organizational requirements. The projected ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and ... We are looking for candidates with strong Python-based data science and machine learning experience ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression ... as well as contract-specific affordability and organizational requirements. The projected ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression ... as well as contract-specific affordability and organizational requirements. The projected ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Experience applying data science and machine learning techniques including logistic regression ... as well as contract-specific affordability and organizational requirements. The projected ...

Cloud Data Vision LLC

AI Architect

Atlanta, GA · On-site

Contract Eligibility: Local candidates only Job Summary We are looking for an experienced AI ... The ideal candidate will have strong experience in Generative AI, Machine Learning, LLMs, cloud ...

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Contract Machine Learning Startup information

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 key skills and qualifications needed to thrive in a contract machine learning startup role?

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 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 popular job titles related to Contract Machine Learning Startup jobs in Georgia?

For Contract Machine Learning Startup jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Startup jobs in Georgia look for?

The top searched job categories for Contract Machine Learning Startup jobs in Georgia are:

What cities in Georgia are hiring for Contract Machine Learning Startup jobs?

Cities in Georgia with the most Contract Machine Learning Startup job openings:

Contract Machine Learning Startup jobs near you

Data scientist with Python and AI/ML consultant.

Alpharetta, GA • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

Contractor

Re-posted 12 days ago

Job description

Title: Data Scientist with Python and AI/ML consultant.
Location: Alpharetta, GA (100% onsite)
Inperson interview required
Position type; W2 contract

We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.

Key Responsibilities

  • Develop and deploy machine learning models using Python.

  • Perform data exploration, feature engineering, and model evaluation.

  • Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.

  • Work with large datasets using SQL, Pandas, NumPy, Spark.

  • Implement deep learning models using TensorFlow / PyTorch.

  • Develop NLP pipelines using spaCy, NLTK, HuggingFace.

  • Collaborate with product and engineering teams to operationalize models (MLOps).

  • Monitor model performance and retrain as required.

  • Create dashboards and presentations for stakeholders.

  • Support experimentation and A/B testing frameworks.

Required Skills

  • Strong proficiency in Python for data science and ML.

  • Experience with Scikit-learn, TensorFlow, PyTorch.

  • Strong knowledge of statistics, probability, and linear algebra.

  • Experience with SQL and big data tools (Spark, Hadoop).

  • Hands-on experience with NLP, computer vision, or recommendation systems.

  • Knowledge of MLOps, CI/CD for ML models.

  • Experience deploying models in cloud environments (AWS/Azure/GCP).