Artificial Intelligence Engineer

Artificial Intelligence Engineer
Horizon Agency, Estonia

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Jul 8, 2021
Last Date
Aug 8, 2021
Location(s)

Job Description

We are Horizon Agency, a purpose-driven software IT company, based in Estonia. We help global businesses and proven brands to achieve their business objectives by developing impactful digital innovation solutions driven by the latest technologies. Our services include Web and Mobile Application Development, Blockchain, and UX/UX Design. Our team’s mission is to produce high-value outcomes combining technical experience, business insight, and custom software solutions using all the latest trends and technologies.

Currently, we are in search of a skilled Artificial Intelligence Engineer to join our team.

Performance objective:

The first objective: We inspire our ecosystem products and services to work more effectively and efficiently, and create greater choice in the domain of work, for the benefit of all concerned. The Artificial Intelligence Engineer (AI) will develop solutions using Artificial Intelligence (AI) and Computer vision amp; NLP. The Artificial Intelligence Engineer will work with the development team and business owners to translate business analytic needs into cognitive computing technologies to achieve required goals.


Typical tasks include:

  • Develop amp; conceptualize sophisticated amp; innovative AI solutions that integrate diverse information assets available at the Client to achieve incremental revenue or mitigating the financial risks.
  • Lead the discovery process for the AI amp; analytics opportunities with the institutional stakeholders to identify the business requirements and the expected outcome.
  • Make strategic recommendations on data collection, integration, and retention requirements incorporating business requirements and knowledge of best practices.
  • Define standard metrics and KPIs for measuring the success of all AI amp; analytics engagements are undertaken and establish processes to measure them.
  • Design and develop data models as per specs. Document solutions in the company's tools: logical model, data model, workflow diagrams, technical set-up specifications, etc.
  • Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Design experiments, and test business hypotheses.
  • Identify what data is available and relevant for analytics opportunities, leveraging new data collection processes, Unstructured data sources such as social media, etc.
  • Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
  • Recommend amp; Implement ongoing improvements to methods and algorithms that lead to findings, including new information amp; patterns in the data.
  • Establish a conducive ecosystem for AI amp; analytics using tools, processes, vendors, etc.

Requirements

Must-to-have.s:

  • Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research, or other related fields.
  • Minimum 5+ years of experience in managing a large AI amp; analytics in a financial services organization
  • Master’s in Business Administration from top B Schools.
  • Excellent understanding of machine learning and Artificial Intelligence (AI) techniques
  • Cloud-native solutions amp; AI Services (Google Cloud, Amazon, Azure)
  • AI languages: Python, R Studio, Java/c++.
  • AI libraries: TensorFlow, Keras, PyTorch.
  • AI knowledge: ML, NLP, Neuron networks, Deep learning technologies (Neural networks, LSTM, GAN, RNN, etc.)
  • Experience in image/signal processing, statistics, data mining, and predictive modelling.
  • SQL, NoSQL, graph database, and other big data querying languages
  • Data formats from/exposing data to various data sources and services (API, XML, JSON, etc.)
  • Data Visualization (Power BI/Tableau, D3.js, Ms Excel)
  • Big data technologies
  • Experience in drafting solution architecture frameworks that rely on APIs and microservices
  • Expertise in distributed computing environments / big data platforms (Cloudera, Hadoop, Apache Spark, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

Nice-to-have.s:

  • Background in basic machine learning techniques including supervised, unsupervised, reinforcement, and deep learning.
  • Experience in major machine learning frameworks: Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML.
  • Strong architect skills that transform business needs into AI products. Must have significant experience in building a multigenerational scalable platform and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, De

Job Specification

Job Rewards and Benefits

Horizon Agency

Information Technology and Services - Tallinn, Estonia
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