Senior Analyst Machine Learning, Python

AppLab Systems, Inc; Torrance (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Applab Systems, Inc in Torrance, CA is seeking a Senior Analyst Machine Learning with strong Python, TensorFlow, and data analytics skills to design and optimize ML models.

The role emphasizes building end-to-end ML solutions, collaborating with engineering and product teams, and delivering actionable insights while maintaining code quality and reproducibility.

Qualifications

• 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.

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.

Skills

Python

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Power BI

Tableau

AWS

Azure

GCP

NLP

Spark

Hadoop

Education

CS/Data Science/Statistics

Tools

Power BI

Tableau

AWS

Azure

GCP

Job description

Position- Senior Analyst Machine Learning, Python

Location- Torrance, CA Onsite

Job Description

The Senior Machine Learning Analyst will play a critical role in designing, developing, and optimizing machine learning models to deliver actionable insights.

Job Summary

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.

Regards

Vishamber Gupta

Applab Systems, Inc

[e-mail]

4365 Route 1 South, Suite 105, Princeton NJ, 08540

Phone:[phone] Ext. 547