Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Key Responsibilities
-
Design develop and deploymachine learning modelsand AI algorithms
-
Analyze large datasets to extract insights and build predictive systems
-
Build and optimizesupervised unsupervised and deep learning models
-
ImplementNLP Computer Vision or Recommendation Systems(as per project)
-
Train evaluate and fine-tune ML models for performance and scalability
-
Deploy models usingAPIs cloud platforms or MLOps pipelines
-
Collaborate with data scientists software engineers and product teams
-
Monitor model performance and retrain models when required
-
Document model architecture experiments and results
Required Skills
-
Strong knowledge ofMachine Learning & AI concepts
-
Programming experience inPython(preferred) orR
-
Hands-on experience withTensorFlow PyTorch Scikit-learn
-
Good understanding ofStatistics Probability Linear Algebra
-
Experience withData preprocessing feature engineering
-
Knowledge ofSQL / NoSQL databases
-
Familiarity withREST APIs
-
Experience withGit / version control
Preferred Skills
-
Experience withDeep Learning NLP or Computer Vision
-
Knowledge ofCloud platforms(AWS Azure GCP)
-
Experience withMLOps tools(MLflow Kubeflow Airflow)
-
Familiarity withDocker Kubernetes
-
Understanding ofBig Data tools(Spark Hadoop)
Education & Experience
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Key Responsibilities Design develop and deploymachine learning modelsand AI algorithms Analyze large datasets to extract insights and build predictive systems Build and optimizesupervised unsupervis...
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Key Responsibilities
-
Design develop and deploymachine learning modelsand AI algorithms
-
Analyze large datasets to extract insights and build predictive systems
-
Build and optimizesupervised unsupervised and deep learning models
-
ImplementNLP Computer Vision or Recommendation Systems(as per project)
-
Train evaluate and fine-tune ML models for performance and scalability
-
Deploy models usingAPIs cloud platforms or MLOps pipelines
-
Collaborate with data scientists software engineers and product teams
-
Monitor model performance and retrain models when required
-
Document model architecture experiments and results
Required Skills
-
Strong knowledge ofMachine Learning & AI concepts
-
Programming experience inPython(preferred) orR
-
Hands-on experience withTensorFlow PyTorch Scikit-learn
-
Good understanding ofStatistics Probability Linear Algebra
-
Experience withData preprocessing feature engineering
-
Knowledge ofSQL / NoSQL databases
-
Familiarity withREST APIs
-
Experience withGit / version control
Preferred Skills
-
Experience withDeep Learning NLP or Computer Vision
-
Knowledge ofCloud platforms(AWS Azure GCP)
-
Experience withMLOps tools(MLflow Kubeflow Airflow)
-
Familiarity withDocker Kubernetes
-
Understanding ofBig Data tools(Spark Hadoop)
Education & Experience
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