ML Software Developer

You’ll be expected to utilize advanced technical skills and critical thinking abilities to focus on appropriate methods for evaluation for optimal results by using a range of technological stacks we use: Spark, Flink, HBase, Kafka, Redis, Elasticsearch, Akka Streams, and we code mainly in Java, Scala and Python. A strong team player with great communication skills while having the know-how to deliver high-levels of coding, design, testing, and execution.
 
The Task-at-Hand:
Design, code, and maintain Big Data workflows/pipelines      
Create a machine learning infrastructure from training to predict    
Develop A/B test features and tools    
Build, maintain and execute unit test cases with high code coverage    
Work in teams and collaborate with others    
Bring a strong opinion to the table and be proactively involved with product planning    
Be fully responsible for the product’s lifecycle – from design and development to deployment     
 
Optimal Skills for Success:
2+ years of experience as machine-learning engineer      
4+ years of hands-on experience in engineering Scala/Java/Python    
Deep understanding of Machine Learning algorithms and models    
Experience with BigData / NoSQL / Stream processing technologies (e.g Spark,Flink, Redis, Kafka)    
Proven experience with implementing production models (Infrastructure, data pipelines etc)    
Good knowledge of machine learning libraries and tools such: Pandas, Scikit-learn, NumPy, Notebooks    Bachelor’s degree in Computer Science or related    
Experience working on cloud solutions (AWS a big advantage) – a plus    
Experience working in Agile Scrum methodologies – a plus    
Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.)      
Excellent understanding of development methodologies, paradigms (OOP, FP)