Are you passionate about solving complex problems, creating personalized customer experiences, and driving business growth with cutting-edge machine learning models? Join our innovative and dynamic team as a Machine Learning Engineer, where your skills will shape transformative analytics solutions.

???? What You'll Be Doing

???? Analytics Model Development

• Craft advanced machine learning algorithms to fuel personalized customer experiences.
• Uncover actionable business insights using techniques like forecasting, prediction, segmentation, and recommendation systems.
• Solve diverse business challenges like dynamic pricing, language analysis, and optimization models.

???? Data Engineering & Preparation

• Enhance data pipelines by integrating third-party data to enrich analytics capabilities.
• Clean, impute, and standardize raw data for analysis using tools like Pandas and NumPy.

???? Model Implementation & Production Deployment

• Deploy robust, scalable machine learning models using PySpark and Databricks.
• Build infrastructure for large-scale data analytics and experimentation.
• Utilize Jupyter Notebooks for data exploration and rapid model development.

????????? What We're Looking For

Educational Background:

• Undergraduate or Graduate degree in Computer Science, Mathematics, or related fields (PhD preferred but not required).

Experience:

• 5+ years of experience in data analytics with expertise in core statistical algorithms like classification and regression analysis.
• Proven track record of applying machine learning models to solve business challenges.

Technical Proficiency:

• Deep expertise with Python machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in Spark, particularly PySpark, for large-scale data processing.
• Hands-on experience with Databricks, Pandas, NumPy, and Jupyter Notebooks.

???? Why Join Us?

???? Innovate: Work on impactful, real-world machine learning projects that power next-generation customer experiences.
???? Grow: Thrive in an environment that fosters learning and technical excellence.
???? Collaborate: Partner with a cross-functional team of passionate product and engineering experts.
???? Benefits: Competitive compensation, comprehensive health benefits, and a culture that values balance and creativity.