Machine Learning Specialist

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