Machine Learning Analyst

TechDigital Group; Torrance (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology company is seeking a Senior Machine Learning Analyst to design, develop, and optimize machine learning models. This role demands strong expertise in Python and TensorFlow, with responsibilities including data analysis and collaboration with cross-functional teams to deliver actionable business insights. Applicants should possess at least 5 years of experience in machine learning or data science. Join an innovative team dedicated to leveraging data for impactful decision-making.

Qualifications

• Minimum 5+ years in machine learning, data science, or advanced analytics.
• Familiarity with NLP, deep learning, and big data frameworks is a plus.

Responsibilities

• Build, train, and deploy machine learning models using Python and TensorFlow.
• Analyze large datasets to identify trends and generate insights.
• Work closely with cross‑functional teams to translate requirements into ML solutions.
• Ensure adherence to coding standards and conduct model validation.

Skills

Python

TensorFlow

Data analysis techniques

SQL

Data visualization tools

Agile development

Education

Bachelor's or master's in computer science

Tools

NumPy

Pandas

Scikit-learn

Power BI

Tableau

AWS

Azure

GCP

Job description

Job Summary

• The Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.
• This role requires strong expertise in Python, TensorFlow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data‑driven decision‑making.

Key Responsibilities

• Model Development & Optimization Build, train, and deploy machine learning models using Python, TensorFlow, and other ML frameworks.
• Optimize models for accuracy, scalability, and performance.
• Data Analysis & Insights Analyze large structured and unstructured datasets to identify trends, patterns, and anomalies.
• Apply statistical and predictive modeling techniques to generate business insights.
• Collaboration & Stakeholder Management Work closely with cross‑functional teams (engineering, product, business) to translate requirements into ML solutions.
• Present findings and recommendations to stakeholders in clear, actionable formats.
• Quality & Standards Ensure adherence to coding standards, documentation, and reproducibility of ML pipelines. Conduct model validation, testing, and monitoring to maintain reliability.

Qualifications Education:

• Bachelor's or master's in computer science, Data Science, Statistics, or related field.
• Experience: Minimum 5+ years in machine learning, data science, or advanced analytics.

Technical Skills:

• Strong proficiency in Python (NumPy, Pandas, Scikit‑learn, TensorFlow, PyTorch).
• Experience with SQL, data visualization tools (Power BI, Tableau). Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.
• Familiarity with NLP, deep learning, and big data frameworks (Spark, Hadoop) is a plus.

Desired Competencies

• Strong problem‑solving and analytical skills.
• Ability to communicate complex technical concepts to non‑technical stakeholders.
• Experience in agile development and working with distributed teams.
• Passion for continuous learning and staying updated with ML/AI advancements.