Building your in-house Machine Learning team
ENBISYS coaches your team to get the most from your Data
Building your in-house Machine Learning team
ENBISYS coaches your team to get the most from your Data
Building your in-house Machine Learning team
ENBISYS coaches your team to get the most from your Data
Let's start a new project together
You agree to our Privacy Policy and Terms of Service
Why does a business need its own machine learning team?
End-to-end technologies, including artificial intelligence, offer new strategies that can improve a company's vital processes and increase its economic performance.
Machine learning helps find correlations by analyzing hidden patterns and learning from data. As a result, you can get critical information on processes, products, services and financial indicators that was not previously available.
Having a skilled team capable of transforming data into actionable insights through the predictions of automatically trained systems will give you a competitive advantage with no need to disclose data to third parties.
Having a skilled team capable of transforming data into actionable insights through the predictions of automatically trained systems will give you a competitive advantage with no need to disclose data to third parties.
Having your own Machine Learning solution may help:
Increase efficiency by identifying trends and obtaining insights about the company's business processes.
Benefit from modern technologies depending on the specifics of your products and services.
Automate daily tasks such as marketing, manufacturing processes, and customer service.
We will help you make the most of machine learning technologies, evaluate their benefits and choose the best approach to building an in-house machine learning team. Let's get started!
Let's start a new project together
Possible machine learning LAB construction scenario
High costs
No commercial projects
Takes too long
Safe
Grow the team
from own data engineers
from own data engineers
No control over ML Team's work due to lack of competencies internally
Risk of failing the project
High costs
Fast established team
Hire experienced Data Scientists
+ Commercial project
+ Commercial project
Difficult to implement acquired theory to real life projects
No clear strategy for ML projects
Theory base for technology stacks
Methodology
Learn through courses available
Difficult to assess the candidate
Almost impossible to source such experts
No risk for the project
Fast established team
Hire CDO/CDS
Dedicate/Hire junior Data Scientists
+ Commercial Project
+ ENBISYS ML Consultants team
+ Commercial Project
+ ENBISYS ML Consultants team
Speeds up Option 1 dramatically
ENBISYS Team
We have created an all-purpose team capable of developing projects of any scale using machine learning technologies. It brings together specialists of various profiles: data engineers, front-end and back-end developers, UI / UX designers, quality assurance specialists and a chief data engineer (CDO).
ENBISYS also invests in machine learning hardware: GPUs and cloud services have already become a common part of business expenses. We understand that a ML team is only as effective as its high-tech equipment.
ENBISYS also invests in machine learning hardware: GPUs and cloud services have already become a common part of business expenses. We understand that a ML team is only as effective as its high-tech equipment.
ENBISYS Team
We have created an all-purpose team capable of developing projects of any scale using machine learning technologies. It brings together specialists of various profiles: data engineers, front-end and back-end developers, UI / UX designers, quality assurance specialists and a chief data engineer (CDO).
ENBISYS also invests in machine learning hardware: GPUs and cloud services have already become a common part of business expenses. We understand that a ML team is only as effective as its high-tech equipment.
ENBISYS also invests in machine learning hardware: GPUs and cloud services have already become a common part of business expenses. We understand that a ML team is only as effective as its high-tech equipment.
ENBISYS Team
We have created an all-purpose team capable of developing projects of any scale using machine learning technologies. It brings together specialists of various profiles: data engineers, front-end and back-end developers, UI / UX designers, quality assurance specialists and a chief data engineer (CDO).
ENBISYS also invests in machine learning hardware: GPUs and cloud services have already become a common part of business expenses. We understand that a ML team is only as effective as its high-tech equipment.
ENBISYS also invests in machine learning hardware: GPUs and cloud services have already become a common part of business expenses. We understand that a ML team is only as effective as its high-tech equipment.
When building your own machine learning team for commercial projects, it's important to manage your business expectations.
Building your own machine learning team requires experience in computing and mathematics, as well as up-to-date subject matter expertise.
ENBISYS team knows how to set hypotheses in machine learning quickly and competently, and in the process of their validation, they know how to properly interact with subject matter experts.
We will train your specialists to do the same!
ENBISYS team knows how to set hypotheses in machine learning quickly and competently, and in the process of their validation, they know how to properly interact with subject matter experts.
We will train your specialists to do the same!
We know how to use machine learning for a specific business task and create the most appropriate strategy for your business!
ENBISYS CTO
Max Usov
Let's start a new project together
ENBISYS Machine Learning Skills
Deep Learning
(PyTorch, TensorFlow, ONNX)
(PyTorch, TensorFlow, ONNX)
Stochastic algorithms
Custom speech recognition and synthesis
(Whisper, HiFi-GAN, WaveNet)
(Whisper, HiFi-GAN, WaveNet)
BKT algorithms modifications
(Bayesian Knowledge Tracing)
(Bayesian Knowledge Tracing)
Time Series
(ARIMA, Temporal Fusion Transformer, DeepAR)
(ARIMA, Temporal Fusion Transformer, DeepAR)
Spatial networks and Spatial analysis
NLP
(BERT, RoBERTa, T5, GPT3)
(BERT, RoBERTa, T5, GPT3)
Production systems integration / API development
ENBISYS Machine Learning Skills
Deep Learning
(PyTorch, TensorFlow, ONNX)
(PyTorch, TensorFlow, ONNX)
Stochastic algorithms
Custom speech recognition and synthesis
(Whisper, HiFi-GAN, WaveNet)
(Whisper, HiFi-GAN, WaveNet)
BKT algorithms modifications
(Bayesian Knowledge Tracing)
(Bayesian Knowledge Tracing)
Time Series
(ARIMA, Temporal Fusion Transformer, DeepAR)
(ARIMA, Temporal Fusion Transformer, DeepAR)
Spatial networks and Spatial analysis
NLP
(BERT, RoBERTa, T5, GPT3)
(BERT, RoBERTa, T5, GPT3)
Production systems integration / API development
ENBISYS Machine Learning Skills
Deep Learning
(PyTorch, TensorFlow, ONNX)
(PyTorch, TensorFlow, ONNX)
Stochastic algorithms
Custom speech recognition and synthesis
(Whisper, HiFi-GAN, WaveNet)
(Whisper, HiFi-GAN, WaveNet)
BKT algorithms modifications
(Bayesian Knowledge Tracing)
(Bayesian Knowledge Tracing)
Time Series
(ARIMA, Temporal Fusion Transformer, DeepAR)
(ARIMA, Temporal Fusion Transformer, DeepAR)
Spatial networks and Spatial analysis
NLP
(BERT, RoBERTa, T5, GPT3)
(BERT, RoBERTa, T5, GPT3)
Production systems integration / API development
At ENBISYS we've established and grown our ML Department back in 2016, building a team of top-rank Data Engineers. We used the acquired capabilities to develop a number of own ML projects as well as projects for our clients, involving neural networks architecture and ML algorithms development in Healthcare, Education, Retail, Oil & Gas.
Building your in-house ML lab
What we suggest
Get the most pertinent expertise from ENBISYS, and projects requiring integrated Machine Learning solutions will become your revenue drivers very soon!
To build your in-house Machine Learning team, we will dedicate 2 Data Scientists and/or CDS to explore your objectives and craft a customized strategy. We will work closely with your team to transfer the right methodologies and technical skills and support you with your first commercial ML projects.
Let's start a new Machine Learning project together!
you agree to our Privacy Policy and Terms of Service
Let's start a new Machine Learning project together!
you agree to our Privacy Policy and Terms of Service
Let's start a new Machine Learning project together!
you agree to our Privacy Policy and Terms of Service
SERVICES
VERTICALS
COMPANY
Tomsk, Russia, 634055,
Akademichesky prospekt, 8/8, of.502
info@enbisys.com
Akademichesky prospekt, 8/8, of.502
info@enbisys.com
© 2006-2023 Enbisys
Eve Krasnova
CBDO
e.krasnova@enbisys.com
CASES
AI RESEARCH