
Data Scientist
1 day ago
We are seeking highly skilled and innovative
Data Scientists
with strong expertise in
Azure AI and ML
to join our team. The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions. You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation.
Key Responsibilities
- Design, develop, and deploy
ML and AI models
on the Azure ecosystem. - Work extensively with
unstructured data sets
(text, images, documents, etc.) to extract insights and build scalable solutions. - Apply advanced
Natural Language Processing (NLP)
and
Natural Language Generation (NLG)
techniques to solve business problems. - Leverage
Copilot Studio, AI Foundry, Genie AI in Databricks
, and other Azure-native services for generative AI use cases. - Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
- Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment.
Required Skills & Qualifications
- Proven hands-on experience in
Azure Machine Learning, Azure AI services, and Databricks
. - Strong background in
NLP, NLG, LLMs, and generative AI frameworks
. - Experience with
unstructured data pipelines
and feature engineering. - Proficiency in
Python, PySpark, and ML libraries
(TensorFlow, PyTorch, Hugging Face, etc.). - Practical experience with
Copilot Studio, AI Foundry, Genie AI in Databricks
is highly desirable. - Strong problem-solving, analytical, and innovation skills.
- Excellent communication and storytelling ability to present AI solutions to stakeholders.
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
Preferred Qualifications
- Experience in building and deploying
enterprise-grade AI solutions
in cloud-native environments. - Prior exposure to
GenAI-based copilots, conversational AI, or knowledge assistants
. - Familiarity with
MLOps frameworks
for productionizing AI models.
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