What does day-to-day look like:

• Develop and maintain DS/ML solutions, including data pipelines, model training, evaluation, and optimization.
• Collaborate with business stakeholders to gather and clarify requirements
• Translate business requirements into DS/ML code that accurately reflects business logic
• Write efficient, maintainable, and well-documented DS/ML solutions
• Participate in code reviews and follow established development standards
• Effectively analyze and select the best algorithms, optimize DS/ML solutions for performance improvement and accuracy
• Create and maintain technical documentation for developed solutions
• Support testing activities and resolve data-related issues

Required Qualifications:

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• 2+ years of hands-on DS/ML development experience
• Proficiency in at least some of the DS/ML areas and frameworks, including:
• Supervised learning (classification, regression, …)
• Unsupervised learning (clustering, anomaly detection, …)
• Time-series analysis
• Natural Language Processing (NLP)
• Computer Vision (CV)
• Statistical modeling
• Ability to understand and apply different models to real-world use cases
• Hands-on experience with DS and ML solutions in production environments
• Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics
• Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• Strong knowledge of data analysis pipelines and data visualization techniques
• Experience translating business requirements into DS/ML solutions

Preferred Qualifications:

• 
  Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
• Experience with cloud data platforms (Databricks, AWS, etc.)
• Knowledge of MLOps principles and tools for model deployment and monitoring
• Hands-on experience with PySpark and Databricks Platform
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench
  

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