Machine Learning Analyst

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, Tensor Flow, and advanced data analysis techniques, with a focus on solving complex business problems and enabling data-driven decision-making.

• Model Development & Optimization Build, train, and deploy machine learning models using Python, Tensor Flow, 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.

• 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.

• Strong proficiency in Python (Num Py, Pandas, Scikit-learn, Tensor Flow, 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.

• 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.