BMA Group Global
Global Talent Acquisition Manager @ BMA Group | EADA Business School MBA & Wharton School Certified HR Management Analytics | Specialized in…
About the Role
We’re hiring an experienced
Data Scientist – AI
to lead the design and deployment of AI and machine learning models for large-scale network intelligence and optimization. This is an opportunity to shape advanced AI systems and mentor emerging talent.
What You’ll Do
Define and structure machine learning problems across complex datasets.
Develop and implement scalable
ML algorithms and AI solutions .
Lead deployment and monitoring of production-ready models.
Leverage
Agentic AI
and advanced ML techniques to improve performance.
Collaborate with cross-functional teams on cloud integration and deployment.
What You Bring
Bachelor’s or Master’s in Computer Science, Engineering, or quantitative field.
4–7 years of experience in
data science and applied machine learning .
Expertise in
deep learning, causal inference, and time-series modeling .
Strong Python skills (PySpark, Scikit-learn) and software best practices.
Excellent communication and data storytelling ability.
Why You’ll Love It
Lead innovative AI projects in a collaborative setting.
Growth-oriented and inclusive culture.
Full support for professional development and learning.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
We’re hiring an experienced
Data Scientist – AI
to lead the design and deployment of AI and machine learning models for large-scale network intelligence and optimization. This is an opportunity to shape advanced AI systems and mentor emerging talent.
What You’ll Do
Define and structure machine learning problems across complex datasets.
Develop and implement scalable
ML algorithms and AI solutions .
Lead deployment and monitoring of production-ready models.
Leverage
Agentic AI
and advanced ML techniques to improve performance.
Collaborate with cross-functional teams on cloud integration and deployment.
What You Bring
Bachelor’s or Master’s in Computer Science, Engineering, or quantitative field.
4–7 years of experience in
data science and applied machine learning .
Expertise in
deep learning, causal inference, and time-series modeling .
Strong Python skills (PySpark, Scikit-learn) and software best practices.
Excellent communication and data storytelling ability.
Why You’ll Love It
Lead innovative AI projects in a collaborative setting.
Growth-oriented and inclusive culture.
Full support for professional development and learning.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr