W2 candidates Only
Key Responsibilities
- Develop and implement machine learning models and algorithms
- Analyze large datasets to extract insights and improve model performance
- Design data pipelines for data collection cleaning and preprocessing
- Deploy ML models into production environments
- Collaborate with data scientists engineers and business teams
- Optimize models for scalability accuracy and efficiency
- Stay updated with latest AI/ML trends and technologies
- Conduct experiments and evaluate model performance using metrics
Required Skills
- Strong programming skills in Python / R / Java
- Experience with ML libraries like TensorFlow PyTorch Scikit-learn
- Knowledge of data structures algorithms and statistics
- Experience with data processing tools (Pandas NumPy SQL)
- Understanding of deep learning NLP or computer vision
- Familiarity with cloud platforms (AWS Azure GCP)
- Experience with APIs and model deployment
Preferred Qualifications
- Bachelors/Masters degree in Computer Science Data Science or related field
- Experience with big data tools like Hadoop or Spark
- Knowledge of MLOps and CI/CD pipelines
- Prior experience in real-world AI/ML projects
W2 candidates Only Key Responsibilities Develop and implement machine learning models and algorithms Analyze large datasets to extract insights and improve model performance Design data pipelines for data collection cleaning and preprocessing Deploy ML models into production environments Collaborat...
W2 candidates Only
Key Responsibilities
- Develop and implement machine learning models and algorithms
- Analyze large datasets to extract insights and improve model performance
- Design data pipelines for data collection cleaning and preprocessing
- Deploy ML models into production environments
- Collaborate with data scientists engineers and business teams
- Optimize models for scalability accuracy and efficiency
- Stay updated with latest AI/ML trends and technologies
- Conduct experiments and evaluate model performance using metrics
Required Skills
- Strong programming skills in Python / R / Java
- Experience with ML libraries like TensorFlow PyTorch Scikit-learn
- Knowledge of data structures algorithms and statistics
- Experience with data processing tools (Pandas NumPy SQL)
- Understanding of deep learning NLP or computer vision
- Familiarity with cloud platforms (AWS Azure GCP)
- Experience with APIs and model deployment
Preferred Qualifications
- Bachelors/Masters degree in Computer Science Data Science or related field
- Experience with big data tools like Hadoop or Spark
- Knowledge of MLOps and CI/CD pipelines
- Prior experience in real-world AI/ML projects
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