Key Responsibilities:

• Develop & Deploy machine learning models for predictive analytics and automation.
• Big Data Processing – Work with large-scale datasets to uncover trends and insights.
• Feature Engineering – Design and optimize features to improve model accuracy.
• AI & NLP Integration – Implement cutting-edge AI techniques for real-world applications.
• Collaborate with Cross-Functional Teams – Work with engineers, product managers, and business analysts.
• Experimentation & A/B Testing – Conduct experiments to measure the impact of data-driven solutions.
• Optimize Data Pipelines – Enhance ETL workflows for efficient data processing.
• Visualization & Reporting – Present complex findings in an easy-to-understand manner.

Must-Have Skills:

• Programming Expertise – Proficiency in Python, R, or Scala.
• Machine Learning & AI – Strong knowledge of supervised/unsupervised learning, deep learning, and reinforcement learning.
• Big Data Technologies – Experience with Spark, Hadoop, or similar frameworks.
• Data Engineering – Hands-on experience with SQL, NoSQL, and data warehousing.
• Cloud Platforms – Familiarity with AWS, GCP, or Azure for scalable data solutions.
• Statistical & Mathematical Skills – Proficiency in probability, statistics, and optimization techniques.
• Visualization Tools – Experience with Tableau, Power BI, or Matplotlib.

Nice-to-Have Skills:

• Experience with Natural Language Processing (NLP) and Computer Vision.
• Knowledge of MLOps frameworks for model deployment.
• Hands-on experience with AutoML & model interpretability techniques.

Share your resume at hr@msezy.com