
AI Engineer
2 weeks ago
Job Duties :
8+ years of experience in #AI/ML and #DataScientist roles.
Extensive experience with #Azurecloudplatforms and #Databricks.
Extensive experience in #Python, #PySpark
Extensive experience in building Generative AI applications using LLMs like #OpenAI, #Gemini, etc
Extensive experience in Prompt Engineering
Experience with #ML Frameworks
Strong understanding of #statisticalmodeling, #NLP, and #deeplearning.
Excellent problem-solving and communication skills.
Good Experience in MLOps and model lifecycle management.
Version control (#Git) and CI/CD pipelines
Analyze business problems and determine where AI/ML can deliver value.
Design and implement #MLalgorithms, #deeplearningmodels, and data-driven solutions.
Build end-to-end AI systems, from data acquisition and preprocessing to model deployment.
Work with large, structured and unstructured datasets.
Develop efficient data pipelines to prepare datasets for training and inference.
Collaborate with Data Engineers to ensure high-quality data availability.
Model Training, Evaluation & Deployment
Select appropriate #algorithms, #architectures, and #frameworks (e.g., #TensorFlow, #PyTorch,#Scikit-learn).
Train, validate, and optimize models for accuracy, performance, and scalability.
Deploy AI models in production environments using MLOps best practices.
Monitor production models for drift, bias, and accuracy.
Continuously improve solutions through retraining and performance tuning.
Partner with cross-functional teams (Product, Engineering, Data Science, UX) to integrate AI capabilities into applications.
Mentor junior engineers and data scientists in AI/ML practices.
Advocate for responsible and ethical AI development.
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