Sr. Machine Learning Engineer

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

Required Qualifications:

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)

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.