Position: Senior Analyst Machine Learning Python
Location: Torrance CA ***Day 1 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.
- 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:
- Bachelors or masters 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.
Position: Senior Analyst Machine Learning Python Location: Torrance CA ***Day 1 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. This role requires strong ...
Position: Senior Analyst Machine Learning Python
Location: Torrance CA ***Day 1 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.
- 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:
- Bachelors or masters 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.
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