eTeam
Role name: Sr. Engineer, AI
Work Location: Atlanta, US (onsite)
Contract
Role and responsibilities: • 7+ years of experience in AI/ML and Data Scientist roles. • Extensive experience with Azure cloud platforms and Databricks. • Extensive experience in Python, PySpark • Extensive experience in building Generative AI applications using LLMs like Open AI, Gemini, etc • Extensive experience in Prompt Engineering • Experience with ML Frameworks • Strong understanding of statistical modeling, NLP, and deep learning. • 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 ML algorithms, deep learning models, 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. • Stay updated with advancements in AI/ML, large language models, and related technologies. • Experiment with new algorithms, frameworks, and techniques to enhance capabilities.
Role and responsibilities: • 7+ years of experience in AI/ML and Data Scientist roles. • Extensive experience with Azure cloud platforms and Databricks. • Extensive experience in Python, PySpark • Extensive experience in building Generative AI applications using LLMs like Open AI, Gemini, etc • Extensive experience in Prompt Engineering • Experience with ML Frameworks • Strong understanding of statistical modeling, NLP, and deep learning. • 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 ML algorithms, deep learning models, 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. • Stay updated with advancements in AI/ML, large language models, and related technologies. • Experiment with new algorithms, frameworks, and techniques to enhance capabilities.