Senior AI/ML Engineer
Job Summary
Job Description
The Senior AI/ML Engineer will be responsible for developing and optimizing machine learning models, implementing AI algorithms such as deep learning and natural language processing, and designing data pipelines for model training and deployment. This role involves collaborating with cross-functional teams to integrate AI solutions into products, researching emerging AI technologies, and ensuring the scalability and efficiency of AI models in production. Responsibilities also include troubleshooting and improving existing AI/ML systems. The ideal candidate will have proficiency in Python, TensorFlow, PyTorch, strong data handling skills, and experience with cloud platforms and containerization.
Must have:
- Develop and optimize machine learning models
- Implement AI algorithms (deep learning, neural networks, NLP)
- Design and maintain data pipelines
- Collaborate with cross-functional teams
- Conduct research on emerging AI technologies
- Ensure scalability, reliability, and efficiency of AI models
- Troubleshoot and improve existing AI/ML systems
- Proficiency in Python
- Experience with TensorFlow, PyTorch
- Strong data preprocessing and feature engineering skills
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with containerization (Docker, Kubernetes)
Good to have:
- Hypothesis Testing
- T-Test, Z-Test
- Regression (Linear, Logistic)
- Python/PySpark
- SAS/SPSS
- Statistical analysis and computing
- Probabilistic Graph Models
- Great Expectation
- Evidently AI
- Forecasting (Exponential Smoothing, ARIMA, ARIMAX)
- Tools (KubeFlow, BentoML)
- Classification (Decision Trees, SVM)
- ML Frameworks (Sci-Kit Learn, CNTK, Keras, MXNet)
- Distance (Hamming Distance, Euclidean Distance, Manhattan Distance)
- R/ R Studio
17 skills required
Job Details
Senior AI/ML Engineer
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
- Key Responsibilities - Develop and optimize machine learning models for various applications. - Implement AI algorithms, including deep learning, neural networks, and natural language processing (NLP). - Design and maintain data pipelines for model training and deployment. - Collaborate with cross-functional teams to integrate AI solutions into products. - Conduct research on emerging AI technologies and best practices. - Ensure scalability, reliability, and efficiency of AI models in production environments. - Troubleshoot and improve existing AI/ML systems. Required Skills & Qualifications - Experience: 3-8 years in AI/ML development. - Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. - Data Handling: Strong knowledge of data preprocessing, feature engineering, and model evaluation. - Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). - Problem-Solving: Ability to analyze complex problems and develop AI-driven solutions.
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