Job Summary
We are looking for a skilled AI Engineer to design build and deploy scalable AI and machine learning solutions. The ideal candidate will have strong hands-on experience in developing production-ready AI models and working closely with engineering and business teams to deliver impactful AI-driven solutions.
Requirements
Must-Have Skills & Experience
Core AI & Machine Learning Skills
Strong experience as an AI Engineer working on real-world use cases
Solid understanding of machine learning deep learning and AI algorithms
Hands-on experience with Python and AI/ML libraries such as TensorFlow PyTorch Scikit-learn
Experience building training validating and deploying ML models
Data & Engineering Skills
Strong knowledge of data preprocessing feature engineering and model evaluation
Experience working with structured and unstructured data
Familiarity with databases (SQL / NoSQL) and data pipelines
Model Deployment & MLOps
Experience deploying AI/ML models into production environments
Understanding of MLOps practices model monitoring and versioning
Exposure to Docker Kubernetes or cloud platforms (AWS Azure or GCP) is a plus
Software Engineering
Strong coding and debugging skills
Understanding of APIs microservices and system integration
Ability to write clean maintainable and scalable code
Key Responsibilities
Design develop and deploy AI/ML models for business use cases
Collaborate with data scientists software engineers and stakeholders
Optimize models for performance scalability and reliability
Build end-to-end AI pipelines from data ingestion to inference
Ensure AI solutions follow best practices for security performance and maintainability
Monitor model performance and retrain models as required
Document solutions and contribute to technical knowledge sharing
Required Skills:
Must-Have Skills & Experience Core AI & Machine Learning Skills Strong experience as an AI Engineer working on real-world use cases Solid understanding of machine learning deep learning and AI algorithms Hands-on experience with Python and AI/ML libraries such as TensorFlow PyTorch Scikit-learn Experience building training validating and deploying ML models Data & Engineering Skills Strong knowledge of data preprocessing feature engineering and model evaluation Experience working with structured and unstructured data Familiarity with databases (SQL / NoSQL) and data pipelines Model Deployment & MLOps Experience deploying AI/ML models into production environments Understanding of MLOps practices model monitoring and versioning Exposure to Docker Kubernetes or cloud platforms (AWS Azure or GCP) is a plus Software Engineering Strong coding and debugging skills Understanding of APIs microservices and system integration Ability to write clean maintainable and scalable code Key Responsibilities Design develop and deploy AI/ML models for business use cases Collaborate with data scientists software engineers and stakeholders Optimize models for performance scalability and reliability Build end-to-end AI pipelines from data ingestion to inference Ensure AI solutions follow best practices for security performance and maintainability Monitor model performance and retrain models as required Document solutions and contribute to technical knowledge sharing
Job SummaryWe are looking for a skilled AI Engineer to design build and deploy scalable AI and machine learning solutions. The ideal candidate will have strong hands-on experience in developing production-ready AI models and working closely with engineering and business teams to deliver impactful AI...
Job Summary
We are looking for a skilled AI Engineer to design build and deploy scalable AI and machine learning solutions. The ideal candidate will have strong hands-on experience in developing production-ready AI models and working closely with engineering and business teams to deliver impactful AI-driven solutions.
Requirements
Must-Have Skills & Experience
Core AI & Machine Learning Skills
Strong experience as an AI Engineer working on real-world use cases
Solid understanding of machine learning deep learning and AI algorithms
Hands-on experience with Python and AI/ML libraries such as TensorFlow PyTorch Scikit-learn
Experience building training validating and deploying ML models
Data & Engineering Skills
Strong knowledge of data preprocessing feature engineering and model evaluation
Experience working with structured and unstructured data
Familiarity with databases (SQL / NoSQL) and data pipelines
Model Deployment & MLOps
Experience deploying AI/ML models into production environments
Understanding of MLOps practices model monitoring and versioning
Exposure to Docker Kubernetes or cloud platforms (AWS Azure or GCP) is a plus
Software Engineering
Strong coding and debugging skills
Understanding of APIs microservices and system integration
Ability to write clean maintainable and scalable code
Key Responsibilities
Design develop and deploy AI/ML models for business use cases
Collaborate with data scientists software engineers and stakeholders
Optimize models for performance scalability and reliability
Build end-to-end AI pipelines from data ingestion to inference
Ensure AI solutions follow best practices for security performance and maintainability
Monitor model performance and retrain models as required
Document solutions and contribute to technical knowledge sharing
Required Skills:
Must-Have Skills & Experience Core AI & Machine Learning Skills Strong experience as an AI Engineer working on real-world use cases Solid understanding of machine learning deep learning and AI algorithms Hands-on experience with Python and AI/ML libraries such as TensorFlow PyTorch Scikit-learn Experience building training validating and deploying ML models Data & Engineering Skills Strong knowledge of data preprocessing feature engineering and model evaluation Experience working with structured and unstructured data Familiarity with databases (SQL / NoSQL) and data pipelines Model Deployment & MLOps Experience deploying AI/ML models into production environments Understanding of MLOps practices model monitoring and versioning Exposure to Docker Kubernetes or cloud platforms (AWS Azure or GCP) is a plus Software Engineering Strong coding and debugging skills Understanding of APIs microservices and system integration Ability to write clean maintainable and scalable code Key Responsibilities Design develop and deploy AI/ML models for business use cases Collaborate with data scientists software engineers and stakeholders Optimize models for performance scalability and reliability Build end-to-end AI pipelines from data ingestion to inference Ensure AI solutions follow best practices for security performance and maintainability Monitor model performance and retrain models as required Document solutions and contribute to technical knowledge sharing
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