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, 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.