Azure AI Solution Architect
Pune City, India
Fulcrum Digital
About
Us:
Role: As an Azure AI
Implementor and Solutions Architect, you will be responsible for designing,
developing, and deploying AI solutions on the Azure platform to meet the
diverse needs of our organization and clients.
· Collaborating with cross-functional teams to understand business
requirements and translate them into effective AI solutions.
· Designing end-to-end AI architectures, including data pipelines,
model training, deployment, and monitoring, using Azure AI services.
· Developing and implementing machine learning models and
algorithms for various applications, such as image recognition, natural
language processing, predictive analytics, and more.
· Writing efficient and scalable code to pre-process data, build
and train models, and deploy them into production environments.
· Integrating AI solutions with existing systems and applications,
ensuring seamless functionality and performance.
· Ensuring the security, reliability, and scalability of AI
solutions on the Azure platform.
· Providing technical expertise and guidance to team members,
fostering a collaborative learning environment.
· Staying up-to-date with the latest advancements in Azure AI
services and industry best practices, and applying them to enhance solution
offerings.
Benefits
· Bachelor's or
master’s degree in computer science, Engineering, or a related field.
· Proven experience
(7-8+ years) designing, developing, and deploying AI solutions in the Azure
environment.
· Strong proficiency in
programming languages such as Python, and familiarity with relevant libraries
and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
· Hands-on experience
with Azure AI services, including Azure Machine Learning, Azure Databricks,
Azure Cognitive Services, and Azure DevOps.
· Solid understanding
of machine learning techniques, algorithms, and best practices for model
training and evaluation.
· Experience with data
pre-processing, feature engineering, and working with structured and
unstructured data.
· Ability to optimize
and fine-tune models for performance, scalability, and resource efficiency.
· Excellent
problem-solving skills and the ability to troubleshoot complex technical
issues.
· Strong communication
and collaboration skills, with the ability to work effectively in a
cross-functional team environment.
· Experience in
deploying AI models as APIs or microservices is a plus.
· Relevant
certifications in Azure AI and machine learning are highly desirable.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure Computer Science Databricks Data pipelines DevOps Engineering Feature engineering Machine Learning Microservices ML models Model training NLP Pipelines Python PyTorch Scikit-learn Security TensorFlow Unstructured data
Perks/benefits: Career development
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