Senior AI/ML Engineer
Job Summary
Job Description
We are seeking a Senior AI/ML Engineer to develop and optimize machine learning models. Responsibilities include implementing AI algorithms like deep learning and NLP, designing data pipelines, and collaborating with teams to integrate AI solutions. The role involves researching emerging AI technologies, ensuring model scalability and reliability, and troubleshooting existing systems. The ideal candidate will have experience with Python, TensorFlow, PyTorch, data preprocessing, cloud platforms (AWS, Azure, GCP), and containerization (Docker, Kubernetes). Strong problem-solving skills are essential to develop AI-driven solutions for complex challenges.
Must have:
- Develop and optimize ML models
- Implement AI algorithms (deep learning, NLP)
- Design data pipelines
- Collaborate with cross-functional teams
- Research emerging AI technologies
- Ensure AI model scalability and reliability
- Troubleshoot AI/ML systems
- Proficiency in Python, TensorFlow, PyTorch
- Strong data preprocessing and feature engineering
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with containerization (Docker, Kubernetes)
- Strong problem-solving abilities
Good to have:
- Hypothesis Testing
- T-Test, Z-Test
- Regression (Linear, Logistic)
- Python/PySpark
- SAS/SPSS
- Statistical analysis
- Probabilistic Graph Models
- Evidently AI
- Forecasting (Exponential Smoothing, ARIMA, ARIMAX)
- Tools (KubeFlow, BentoML)
- Classification (Decision Trees, SVM)
- ML Frameworks (Sci-Kit Learn, CNTK, Keras, MXNet)
- Distance metrics (Hamming, Euclidean, Manhattan)
- R/R Studio
17 skills required
Job Details
Senior AI/ML Engineer
Primary Skills
Job requirements
Primary Skills
- 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
Job requirements
- 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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