Raas Infotek
Machine Learning Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Specialist in Torrance, CA, offering a contract position. Candidates must have 5+ years of experience, strong skills in Python and TensorFlow, and a relevant degree. Visa sponsorship is available for USC/Green Card holders only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Torrance, CA
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🧠 - Skills detailed
#Documentation #Predictive Modeling #Scala #Data Science #Data Analysis #Big Data #Deep Learning #Data Framework #Cloud #Datasets #Agile #ML (Machine Learning) #NLP (Natural Language Processing) #AWS (Amazon Web Services) #Computer Science #NumPy #Statistics #Model Validation #Monitoring #PyTorch #TensorFlow #Microsoft Power BI #Azure #Visualization #Python #Hadoop #SQL (Structured Query Language) #Pandas #Tableau #GCP (Google Cloud Platform) #Spark (Apache Spark) #Deployment #AI (Artificial Intelligence) #BI (Business Intelligence)
Role description
Position: Machine Learning Engineer
Location: Torrance, CA- onsite from day 1
Contract
Visa: USC/Green Card/ GC-EAD/ TN visa- only W2, No corp to Corp
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:
· 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.
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
Position: Machine Learning Engineer
Location: Torrance, CA- onsite from day 1
Contract
Visa: USC/Green Card/ GC-EAD/ TN visa- only W2, No corp to Corp
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:
· 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.
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
