Hiring:W2 Candidates Only
Visa:Open to any visa type with valid work authorization in the USA
Key Responsibilities
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Design and develop machine learning and AI models for real-world business problems.
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Collect clean and preprocess structured and unstructured data.
-
Build predictive models using supervised and unsupervised learning techniques.
-
Develop deep learning models for NLP computer vision or recommendation systems.
-
Deploy ML models into production environments using APIs or microservices.
-
Monitor model performance and retrain models as needed.
-
Work closely with data engineers to build scalable data pipelines.
-
Implement MLOps practices for model versioning and lifecycle management.
-
Optimize algorithms for performance scalability and accuracy.
-
Document model architecture experiments and deployment procedures.
Required Skills
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Strong proficiency in Python (NumPy Pandas Scikit-learn).
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Experience with machine learning frameworks (TensorFlow PyTorch Keras).
-
Knowledge of statistical modeling and probability.
-
Experience with SQL and database systems.
-
Understanding of model evaluation techniques (precision recall ROC F1).
-
Experience building REST APIs for model serving.
-
Familiarity with cloud platforms (AWS Azure or GCP).
-
Experience with data visualization tools (Matplotlib Seaborn Power BI).
Preferred Skills
-
Experience with NLP (Natural Language Processing) libraries (spaCy NLTK Transformers).
-
Knowledge of Large Language Models (LLMs).
-
Experience with containerization (Docker) and orchestration (Kubernetes).
-
Familiarity with MLOps tools (MLflow Kubeflow).
-
Experience with big data tools (Spark Hadoop).
-
Understanding of data governance and AI ethics.
Hiring:W2 Candidates OnlyVisa:Open to any visa type with valid work authorization in the USA Key Responsibilities Design and develop machine learning and AI models for real-world business problems. Collect clean and preprocess structured and unstructured data. Build predictive models using sup...
Hiring:W2 Candidates Only
Visa:Open to any visa type with valid work authorization in the USA
Key Responsibilities
-
Design and develop machine learning and AI models for real-world business problems.
-
Collect clean and preprocess structured and unstructured data.
-
Build predictive models using supervised and unsupervised learning techniques.
-
Develop deep learning models for NLP computer vision or recommendation systems.
-
Deploy ML models into production environments using APIs or microservices.
-
Monitor model performance and retrain models as needed.
-
Work closely with data engineers to build scalable data pipelines.
-
Implement MLOps practices for model versioning and lifecycle management.
-
Optimize algorithms for performance scalability and accuracy.
-
Document model architecture experiments and deployment procedures.
Required Skills
-
Strong proficiency in Python (NumPy Pandas Scikit-learn).
-
Experience with machine learning frameworks (TensorFlow PyTorch Keras).
-
Knowledge of statistical modeling and probability.
-
Experience with SQL and database systems.
-
Understanding of model evaluation techniques (precision recall ROC F1).
-
Experience building REST APIs for model serving.
-
Familiarity with cloud platforms (AWS Azure or GCP).
-
Experience with data visualization tools (Matplotlib Seaborn Power BI).
Preferred Skills
-
Experience with NLP (Natural Language Processing) libraries (spaCy NLTK Transformers).
-
Knowledge of Large Language Models (LLMs).
-
Experience with containerization (Docker) and orchestration (Kubernetes).
-
Familiarity with MLOps tools (MLflow Kubeflow).
-
Experience with big data tools (Spark Hadoop).
-
Understanding of data governance and AI ethics.
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