AI/ML Analyst at Jean Martin

Job description

USA Job Description: We are hiring an AI/ML Analyst to support machine learning model development and data experimentation. Responsibilities: Analyze large datasets to build predictive models and generate actionable insights. Develop machine learning algorithms and statistical models for business applications. Clean, preprocess, and transform data for modeling purposes. Collaborate with data scientists and engineers to deploy ML solutions. Monitor model performance and refine algorithms for accuracy and efficiency. Conduct exploratory data analysis (EDA) and create detailed reports. Research and experiment with new AI/ML tools, frameworks, and methodologies. Skills: Strong knowledge of Python, NumPy, Pandas, Scikit-learn. Experience with ML techniques (classification, regression, clustering). Understanding of AI concepts, model evaluation, and visualization. Familiarity with cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI). Data analysis and statistical knowledge. Educational Qualification: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, AI/ML or related field. Master’s degree in AI/ML, Data Science, or Applied Statistics is preferred. Certifications: Google ML, IBM AI Engineering, TensorFlow, AWS Machine Learning. Read More

Requirements

Must-haves

We are hiring an AI/ML Analyst to support machine learning model development and data experimentation.
Analyze large datasets to build predictive models and generate actionable insights.
Develop machine learning algorithms and statistical models for business applications.
Clean, preprocess, and transform data for modeling purposes.
Collaborate with data scientists and engineers to deploy ML solutions.
Monitor model performance and refine algorithms for accuracy and efficiency.
Conduct exploratory data analysis (EDA) and create detailed reports.
Research and experiment with new AI/ML tools, frameworks, and methodologies.
Strong knowledge of Python, NumPy, Pandas, Scikit-learn.
Experience with ML techniques (classification, regression, clustering).
Understanding of AI concepts, model evaluation, and visualization.
Familiarity with cloud AI services (AWS Sagemaker, Azure ML, GCP Vertex AI).
Data analysis and statistical knowledge.
Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, AI/ML or related field.
Certifications: Google ML, IBM AI Engineering, TensorFlow, AWS Machine Learning.

Nice-to-haves

Master’s degree in AI/ML, Data Science, or Applied Statistics is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythonawsazuregcp

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