ELITEX is a Lviv IT company with a narrow focus on JavaScript stack. Since 2015, we have been helping our customers build software products and strengthen their engineering teams. We provide the best work environment. You will enjoy a stylish 470 sq.m office in the Lviv city centre with a panoramic view of the Opera House.
19 квітня 2024

AI Architect Consultant

за кордоном, віддалено

About Elitex:

ELITEX is a Software Development company, founded in 2015, with the core expertise & focus on JavaScript, DevOps and Staff Augmentation services.

Our company has devoted teams of professionals with strong technical expertise and mentoring background, providing a full cycle of software development.

At ELITEX every employee’s voice matters, processes are smooth and deprived of useless bureaucracy, working conditions are great. Apply for a job and check it for yourself!

About Project:

Our client is a Consulting company focused on helping companies understand Data, AI, and ML space and implement solutions and strategies based on these technologies in the best possible way while also applying AI ethics and Infosec Regulations and Principles. They bring rich experience in various industries and technology capabilities including Healthcare and Life Sciences, Financial Services, Retail, CPG, Media, and others.
In this role, you will become part of the core team, which plays a critical part in client-facing activities, but is also responsible for delivering solutions to clients. You will participate in pre-sales activities as a matter and domain expert who understands client needs in-depth and can propose solutions, prototype them, and ensure high-quality delivery of the solutions.


  • Work with business leaders to identify problems that can be resolved using artificial intelligence and machine learning technologies.
  • Use domain expertise to propose and prototype architecture for solutions.
  • Act as domain consultant on projects to ensure high-quality execution and deliverables.
  • Propose and participate in the selection of the optimal team for a project.
  • Ensure AI ethics and other SecOps principles are properly implemented on projects.
  • Contribute to the improvement assessment and delivery process.
  • Contribute to developing domain capabilities, content, and competitiveness.


  • Deep Industry and/or AI Domain Expertise (80-90% of experience):
    • Industry Focus: We are seeking a candidate with 80-90% of their experience in a specific industry. For example, if you have expertise in Finance, you should have experience in areas like risk modeling, fraud detection, RPA, regulatory automation, virtual assistance for banks, stochastic analysis, etc.
    • AI Domain Focus: We also require 80-90% of your project experience to be in a specific AI domain. For example, if you are a Recommendation Systems expert, you should have experience building traditional recommendation systems, complementary recommendation systems, real-time data recommendation systems, etc.
  • 6+ years of experience in AI roles or other relevant fields (AI, ML, Data Science).
  • Bachelor’s Degree in Mathematics, Statistics, or Computer Sciences.
  • Master’s Degree or Professional Certificate in Machine Learning or other relevant field (PhD in Artificial Intelligence highly preferable).
  • Deep understanding of data structures, data modeling, and software architecture.
  • Deep knowledge of math, algorithms, and applied statistics (probability, distributions, statistical testing, regression, etc.).
  • High proficiency in pattern recognition and predictive modeling.
  • High proficiency in one or more statistical programming languages (Python, R, Scala, etc.).
  • Extensive experience with machine learning toolkits (Keras, Pytorch, MLFlow, SciKit, etc.).
  • Working knowledge of cloud-based computing environments and cloud data and ML services (AWS, GCP, Azure, etc.).
  • Experience collaborating with cross-functional teams across many different stakeholders and senior leaders.
  • Experience working on complex and large-scale projects.
  • Strong business acumen and ability to influence key stakeholders to make data-driven decisions.
  • Fluent English.
  • Deep analytical skills and the ability to distill complex information into clear messages.
  • Previous experience leading projects and teams.