Senior AI/ML Engineer - R01551251
Gurgaon, Haryana, India
Data and AI – Data and AI : Data Science /
Employee /
Hybrid
Senior AI/ML Engineer
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.
