Machine Learning / Artificial Intelligence Engineer (Financial Domain)

Job description

Alacer Systems and Technologies is looking for an artificial intelligence and machine learning engineer, who will be able to develop and support Alacer’s products. The main scope of the products will include everything from back-end to client-side code, using optimal and efficient technologies, frameworks, and patterns. Your primary responsibilities will be – design and develop, maintain and enhance applications leveraging AI & ML capabilities. Therefore, it’s essential that – as an AI/ML engineer — you are skilled at problem solving, solution design, logical thinking and high-quality coding.

Description

  • The candidate must be fluent in artificial intelligence and machine learning techniques
  • The candidate must understand the following algorithms and when each is applicable: Linear Regression, Logistic Regression, Classification and Regression Trees, Naïve-Bayes, Clustering and K-Nearest Neighbours
  • The candidate should be familiar with statistics, neural networks, heuristics, Markov models, Natural Language Processing (NLP)
  • The candidate should know the R and Python languages
  • The candidate should familiar with Jupyter Notebooks
  • The candidate should have experience with Azure cloud
  • Experience in analytics driven financial applications will be plus
  • Familiarities with ML Frameworks (Keras, Tensorflow or PyTorch)
  • Build, Deploy and maintain predictive models
  • Experience with ML Libraries (NumPy, Scikit-learn, Pandas, NLTK, SpaCy)
  • Experience with data visualization tools and libraries in Python
  • The candidate should be familiar with DevOps practices such as source control, builds, testing, deployments, release management, and monitoring
  • An understanding of modern approaches to software development such as microservices and event-driven architectures
  • Experience developing applications with the Azure cloud platform using Visual Studio and/or Visual Studio Code
  • Experience with SDLC tools such as Team Foundation Server (TFS), Git, Azure DevOps, and Jira

Requirements:

  • Bachelor’s degree in Computer Science or related field with 5+ years of software development experience OR MS/PhD in CS or equivalent with 2+ yrs. of experience
  • Experience with all phases of development, including design, implementation, and operation of production systems
  • Experience in developing high-performance, highly-available and scalable distributed systems
  • Should be very well versed with Python programming language
  • In-depth knowledge and fluency in a high-level programming language C/C++ and C#
  • Experience with relational and NoSQL databases
  • Solid understanding of Object-Oriented design and concepts
  • Strong analytical and problem solving skills
  • Experience with Machine Learning
  • Experience developing software in a Unix/Linux environment

Job Type: Full-time

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