Machine Learning Engineer Cover Letter

I am excited to be applying for the position of machine learning engineer. Please accept this letter and the attached resume as my interest in this position.

In the previous role, I was responsible for accurate time estimates for your scope of work, turn it into code, and deliver on schedule.

Please consider my experience and qualifications for this position:

• Familiarity with multiple hardware backends
• Familiarity with performance profiling, benchmarking, optimization and scaling of DL architectures on HPC systems
• Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques
• Experience working with large, real world data — big, messy, incomplete, full of errors
• Experience with Apache Hadoop, Spark, Solr/Lucene, Cassandra and related technologies
• Intuition about algorithm and system performance and throughput
• Deep learning, computer vision, topic modeling, graph algorithms are pluses
• Knowledge of fundamental natural language processing techniques

I submit this application to express my sincere interest in the machine learning engineer position.

Previously, I was responsible for trainings on basic and advanced statistical learning approaches to statistics and non-statistics colleagues within BI.

Please consider my experience and qualifications for this position:

• Build tools to help the derivatives business optimize
• Contribute to design and buildout the data architecture
• Work with tech teams to build desktop and web applications
• Analyze risk
• Implement models in C++ and Python libraries
• Experience with Python and libraries
• Understanding of TF-IDF and tools like Apache Solr
• Insist on automating everything (testing, Continuous Integration, Continuous Delivery)

I am excited to be applying for the position of machine learning engineer. Please accept this letter and the attached resume as my interest in this position.

Previously, I was responsible for best practices on R, Spark, Hive,SQL, Python,Tableau and other others.

Please consider my experience and qualifications for this position:

• Experience programming in Python, C++, Java or Scala
• Experience translating analysis results into business recommendations
• MS in mathematics, physics, or statistics, PhD is preferred
• Proficient in statistics, linear algebra and data visualization techniques
• Working knowledge of Pandas ( Docker/Kubernetes)
• Experience with Python libraries such as Numpy, Scipy (for data manipulation), NLTK
• Kaggle rank (if any)
• Github profile (if any)

In response to your job posting for machine learning engineer, I am including this letter and my resume for your review.

Previously, I was responsible for general information (which does not identify individuals) and statistics to help Jet develop its websites and services.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Experience with standard implementations of Machine Learning algorithms through libraries/packages/APIs
• Experience with implementing ML pipelines in production
• Experience with large data sets and distributed processing
• Strong understanding of ML algorithms, supervised unsupervised
• Experience with outlier detection, classification and trend prediction
• Experience with time series data
• Experience with ML libraries and tools in Scala, Python or Java
• Experience with data visualization libraries in Python or JavaScript

I am excited to be applying for the position of machine learning engineer. Please accept this letter and the attached resume as my interest in this position.

In my previous role, I was responsible for thoughtful, productive, and humble code review feedback that is seen by teammates as a significant improvement.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Familiarity with DL, ML frameworks
• Design, Prototyping, and Systems thinking
• Strong working knowledge of machine learning models, data mining techniques and inference algorithms such as decision trees, association rules, clustering, classification, regression, topic models, stochastic sampling, collaborative filtering
• Experience with the SMACK stack and Big Data pipelines
• BSc in computer science (or in a highly related area) or equivalent experience
• Solid background in algorithms, data structures, and object-oriented programming
• Implementation experience in machine learning algorithms and applications
• Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet