Job Description
IT Jobs. Gramian Jobs
What does day-to-day look like?
- Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization
- Collaborate with business stakeholders to gather and clarify requirements
- Translate business requirements into ML code that accurately reflects business logic
- Write efficient, maintainable, and well-documented ML solutions
- Participate in code reviews and follow established development standards
- Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy
- Create and maintain technical documentation for developed solutions
- Support testing activities and resolve data-related issues
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field
- 4+ years of hands-on ML development experience
- Proficiency in at least some of the 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)
- Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench
How to Apply
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