Position Overview We are seeking a highly skilled AI ML engineer with machine learning and Python experience
Knowledge on end to end architecture of Data Science and machine learning project
Experience in productionizing machine learning models and guide development team for implementing machine learning use cases
The ideal candidate will have a strong background in AI ML service deployed cloud infrastructure and a comprehensive understanding of data engineering and MLOps practices
Key Responsibilities:
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Key Responsibilities
Data collection profiling EDA data preparation
AI Model development tuning validation
Visualization tools e
g
PowerBI tableau
Present findings to business users project management teams
Propose ML based solution approaches and estimates for new use cases
Experience in ML algorithms NLP GenAI based solutions
Supervised Unsupervised Reinforcement learning
Collaborate with data scientists and engineers to support ML model training evaluation and deployment
Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP
Apply advanced MLOps practices to streamline model deployment monitoring and lifecycle management
Required Skills
Proficiency in Python for data processing automation tasks and model development
Strong understanding of ML model training evaluation and deployment
Proficiency in GenAI based solution development
Strong knowledge of Knowledge of AI services from cloud platforms Azure AWS GCP
Experience in python based web application for AI ML use cases
Technical Requirements:
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Preferred Skills
Experience in MLOps practices and tools
Proven track record of leading technical teams and projects
Strong problem solving skills and attention to detail
Qualifications
Bachelor s or Master s degree in Computer Science Engineering or a related field
Proven experience in technology or solution architecture with a focus on data engineering AI ML and GenAI based solutions
Strong leadership and communication skills
Additional Responsibilities:
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Ability to develop value creating strategies and models that enable clients to innovate drive growth and increase their business profitability
Good knowledge on software configuration management systems
Awareness of latest technologies and Industry trends
Logical thinking and problem solving skills along with an ability to collaborate
Understanding of the financial processes for various types of projects and the various pricing models available
Ability to assess the current processes identify improvement areas and suggest the technology solutions
One or two industry domain knowledge
Client Interfacing skills
Project and Team management
Preferred Skills:
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Technology->Machine Learning->Python,Technology->Machine Learning->AI/ML Solution Architecture and Design->traditional ai ml
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