Associate Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Join Data Technologies Decoder team as a Machine Learning Engineer

When was the last time you bragged about where you work? At CARFAX, we do it every day. Why? Because we’re proud to work for a company with a strong mission and trusted brand. We’re proud to work with people who care about what they do and work hard every day to deliver their best. And just announced, the return of the 4-day work week from May 30th through Labour Day! We’ve created the type of company culture where the term, “work- hard play- hard” isn’t just a catchy saying, it’s part of the #CARFAXdifference!

As a Machine Learning Engineer, you will work collaboratively on a team of engineers and data scientists to design, build and scale our ambitious machine learning and natural language processing solutions. Leveraging the latest techniques and tools, this unique opportunity will aim to unlock the hidden potential in billions of records and enrich the quality of data provided by our automotive reporting products delivered daily to consumers across the globe.

As a Machine Learning Engineer, you will:

• Participate in the design and development of our deep learning, ML and NLP solutions
• Create innovative techniques of processing natural language, extracting the value-add data, and integrating this into our existing systems
• Understand NLP concepts like: Named Entity Recognition (NER), Sentiment Analysis, Data Tokenization, Lexical Semantics, Relationship Extraction, etc.
• Understand ML fundamentals: loss functions, classification and regression models, feature engineering, hyperparameter optimization, and model validation
• Contribute knowledge and assistance to teams engaged in machine learning activities
• Leverage existing ML libraries and services when they exist (i.e. don't reinvent the wheel)
• Develop machine learning algorithms to help drive our natural language processing solutions
• Constantly learn from and educate others to improve yourself and CARFAX

 As a Machine Learning Engineer, you will be expected to have:

• Master's or Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Information Theory, (or related field of study)
• 2+ years of related industry experience applying machine learning
• Demonstrated professional experience in at least one area of machine learning (deep learning, NLP, computer vision, etc.)
• Experience building algorithms and solutions based on machine learning or deep learning.
• Understanding of common software engineering skills and practices (version control, build pipelines, etc.).
• Good communication skills; team player.

You will also need established experience in and/or knowledge of:

• Machine learning frameworks: TensorFlow, Torch, Caffe, or Theano.
• Natural Language Processing libraries: NLTK, spaCY or scikit-learn
• Proficient with Python, Java or .NET.
• Cloud computing environments and ML/NLP related cloud services from Azure, AWS or GCP
• Data visualization techniques
• Oracle, MySQL, PostgreSQL or MongoDB
• Hadoop/AWS EMR, Apache Spark
• Git version control