Gen AI Engineer GCP

Role Overview: As a Gen AI Engineer at HCLTech, you will be responsible for leveraging your expertise in Machine Learning and Deep Learning technologies to develop models and deploy them on the Google Cloud Platform. Your role will involve working with Python, TensorFlow, PyTorch, and GCP AI/ML services to transform data science prototypes into scalable products. Additionally, you will apply your knowledge of supervised and unsupervised learning in various industry verticals to solve complex problems. Key Responsibilities: - Minimum 5 years of experience in Machine Learning and predictive analytics - Hands-on experience in developing models using technologies like Keras, TensorFlow, PyTorch, and GCP AI/ML services - Proficiency in Python and Spark, with experience in libraries such as TensorFlow, Spark ML, scikit-learn, pandas, and NumPy - Software engineering in Python, including building libraries and deploying Python codes in production - Experience in model deployment and monitoring on public clouds like AWS, Azure, or GCP (GCP experience is preferred) - Previous exposure to CI/CD principles in the Machine Learning domain (ML Ops) - Familiarity with containers and orchestration (Kubernetes) - Strong understanding of Statistics, Machine logs processing, text mining, and text analytics Qualification Required: - Strong experience in developing AI/ML models on Google Cloud Platform - Core skills in TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Scikit-learn, Python, R, Keras, Statistical Analysis, Computer Vision, and PySpark Role Overview: As a Gen AI Engineer at HCLTech, you will be responsible for leveraging your expertise in Machine Learning and Deep Learning technologies to develop models and deploy them on the Google Cloud Platform. Your role will involve working with Python, TensorFlow, PyTorch, and GCP AI/ML services to transform data science prototypes into scalable products. Additionally, you will apply your knowledge of supervised and unsupervised learning in various industry verticals to solve complex problems. Key Responsibilities: - Minimum 5 years of experience in Machine Learning and predictive analytics - Hands-on experience in developing models using technologies like Keras, TensorFlow, PyTorch, and GCP AI/ML services - Proficiency in Python and Spark, with experience in libraries such as TensorFlow, Spark ML, scikit-learn, pandas, and NumPy - Software engineering in Python, including building libraries and deploying Python codes in production - Experience in model deployment and monitoring on public clouds like AWS, Azure, or GCP (GCP experience is preferred) - Previous exposure to CI/CD principles in the Machine Learning domain (ML Ops) - Familiarity with containers and orchestration (Kubernetes) - Strong understanding of Statistics, Machine logs processing, text mining, and text analytics Qualification Required: - Strong experience in developing AI/ML models on Google Cloud Platform - Core skills in TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Scikit-learn, Python, R, Keras, Statistical Analysis, Computer Vision, and PySpark