Greetings from Maneva!
Job Description
Job Title - AI Machine Learning Engineer
Experience - 7 - 15 Years
Location - PAN India
Notice - Immediate to 30 days
Requirement:-
- Design build and deploy machine learning and AI models aligned to client business use cases.
- Develop endtoend AI pipelines including data pre-processing feature engineering model training evaluation and deployment.
- Implement NLP computer vision predictive analytics or Generative AI solutions based on project needs.
- Integrate AI models into enterprise applications using APIs and microservices.
- Optimize models for performance scalability latency and cost efficiency.
- Collaborate with product owners architects data engineers and DevOps teams.
- Implement MLOps practices including CI/CD model versioning monitoring and retraining.
- Ensure compliance with data privacy security and Responsible AI standards.
- Contribute to reusable AI accelerators frameworks and best practices.
Mandatory Technical Skills
- Programming: Python (strong) working knowledge of Java is an advantage.
- ML Frameworks: TensorFlow PyTorch Scikitlearn.
- Data Handling: Pandas NumPy SQL.
- Modeling: Supervised & unsupervised learning deep learning fundamentals.
- Deployment: REST APIs Flask/FastAPI Docker.
- Cloud Exposure: AWS / Azure / GCP (model hosting & pipelines).
- Version Control: Git CI/CD tools.
If you are excited to grab this opportunity please apply directly or share your CV atand
Greetings from Maneva! Job Description Job Title - AI Machine Learning Engineer Experience - 7 - 15 Years Location - PAN India Notice - Immediate to 30 days Requirement:- Design build and deploy machine learning and AI models aligned to client business use cases. Develop endtoend AI pipelines i...
Greetings from Maneva!
Job Description
Job Title - AI Machine Learning Engineer
Experience - 7 - 15 Years
Location - PAN India
Notice - Immediate to 30 days
Requirement:-
- Design build and deploy machine learning and AI models aligned to client business use cases.
- Develop endtoend AI pipelines including data pre-processing feature engineering model training evaluation and deployment.
- Implement NLP computer vision predictive analytics or Generative AI solutions based on project needs.
- Integrate AI models into enterprise applications using APIs and microservices.
- Optimize models for performance scalability latency and cost efficiency.
- Collaborate with product owners architects data engineers and DevOps teams.
- Implement MLOps practices including CI/CD model versioning monitoring and retraining.
- Ensure compliance with data privacy security and Responsible AI standards.
- Contribute to reusable AI accelerators frameworks and best practices.
Mandatory Technical Skills
- Programming: Python (strong) working knowledge of Java is an advantage.
- ML Frameworks: TensorFlow PyTorch Scikitlearn.
- Data Handling: Pandas NumPy SQL.
- Modeling: Supervised & unsupervised learning deep learning fundamentals.
- Deployment: REST APIs Flask/FastAPI Docker.
- Cloud Exposure: AWS / Azure / GCP (model hosting & pipelines).
- Version Control: Git CI/CD tools.
If you are excited to grab this opportunity please apply directly or share your CV atand
View more
View less