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Scikit Learn Jobs (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

Scikit-learn * Pandas, NumPy * SQL * Data Analysis * NLP or Computer Vision (Preferred) * AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI * Git Preferred Qualifications * Bachelor''s or ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

Scikit-learn; TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python ...

Apolis

AIML (Gen AI) - Claud and Python

Austin, TX · On-site

... scikit-learn) and data tooling. • Strong communication skills to collaborate across cross-functional teams. • Available for contractor engagement; sourced via approved vendor channels.

ClifyX

Applied ML Engineer

Louisville, KY · On-site

ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills: Model development, feature engineering, model serving infrastructure ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost. * Implement models in production environments using MLOps best practices (e.g ...

Jobtailor

Senior Data Scientist

Rockville, MD · On-site

$150 - $190/hr

Work with diverse data types and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms * Contribute to the integration of AI, DevSecOps, data ...

New

Merican

AI Observability Engineer

Charlotte, NC · On-site

Develop machine learning models using PyTorch, Scikit-learn, and XGBoost. * Build analytics dashboards and provide AI-driven insights to stakeholders. * Deploy containerized applications using Docker ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Work extensively with Python libraries such as Pandas, NumPy, and Scikit-learn for data processing and analysis. * Implement and optimize NLP techniques using tools like NLTK, SpaCy, or Transformers.

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit-learn. * Experience deploying enterprise AI/ML solutions ,AWS, Azure, Google Cloud Platform (GCP)

Merican Inc

AI Observability Engineer

Charlotte, NC · On-site

Develop machine learning models using PyTorch, Scikit-learn, and XGBoost. * Build analytics dashboards and provide AI-driven insights to stakeholders. * Deploy containerized applications using Docker ...

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How much do scikit learn jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scikit learn in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities in a scikit learn job?

In a Scikit-learn-focused role, your day-to-day responsibilities often include developing and testing machine learning models, performing data preprocessing, feature engineering, and evaluating model performance using Scikit-learn's extensive toolkit. You may collaborate closely with data engineers, software developers, and business analysts to understand project requirements and integrate models into production systems. Regular tasks can also involve tuning hyperparameters, interpreting model outputs, and documenting your work for future reference or team knowledge sharing. This blend of technical and collaborative tasks helps ensure your models are both effective and aligned with business goals.

What is a scikit learn job?

A Scikit Learn job typically involves using the Scikit Learn library in Python for machine learning tasks such as data preprocessing, model training, and evaluation. Professionals in these roles often work as data scientists, machine learning engineers, or AI researchers to develop predictive models and enhance data-driven decision-making. Responsibilities may include implementing supervised and unsupervised learning algorithms, tuning hyperparameters, and integrating models into production systems. Strong proficiency in Python, statistical analysis, and experience with libraries like NumPy and pandas are often required.

What are the key skills and qualifications needed to thrive in a scikit learn position?

To excel in roles focused on Scikit-learn, you need a solid background in machine learning, programming in Python, and statistical analysis, often backed by a degree in computer science, data science, or a related field. Familiarity with Scikit-learn's API, version control systems like Git, and practical experience using Jupyter notebooks or similar development environments are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to stakeholders are vital soft skills. These abilities are crucial for developing effective machine learning solutions and collaborating efficiently within multidisciplinary data teams.

More about Scikit Learn jobs
What are the most commonly searched types of Scikit Learn jobs? The most popular types of Scikit Learn jobs are:
What states have the most Scikit Learn jobs? States with the most job openings for Scikit Learn jobs include:
What job categories do people searching Scikit Learn jobs look for? The top searched job categories for Scikit Learn jobs are:
Scikit Learn jobs near you
Infographic showing various Scikit Learn job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI/ML Engineer

Aivra Health LLC

California City, CA • On-site

Other

Posted 25 days ago

Job description

Job Description

We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven applications. The ideal candidate should have strong programming skills, experience with ML frameworks, and knowledge of cloud-based AI solutions.

Responsibilities
  • Build, train, and deploy machine learning models.
  • Develop AI-driven applications and predictive models.
  • Work with structured and unstructured datasets.
  • Perform data preprocessing and feature engineering.
  • Optimize model performance and scalability.
  • Deploy ML models using cloud platforms.
  • Collaborate with data scientists and software engineers.
  • Stay updated with the latest AI technologies.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow or PyTorch
  • Scikit-learn
  • Pandas, NumPy
  • SQL
  • Data Analysis
  • NLP or Computer Vision (Preferred)
  • AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI
  • Git
Preferred Qualifications
  • Bachelor''s or Master''s degree in Computer Science, AI, Data Science, or related field.
  • Experience with Generative AI or LLMs is a plus.
  • Knowledge of MLOps tools is preferred.
  • Strong analytical and problem-solving skills.
Keywords

AI Engineer, Machine Learning Engineer, Deep Learning, Python, TensorFlow, PyTorch, NLP, Computer Vision, Scikit-learn, Pandas, NumPy, AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI, Generative AI, LLM, MLOps

Skills (Comma Separated)

Python, Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, SQL, NLP, Computer Vision, AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI, Generative AI, LLM, MLOps, Git, Data Analysis

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