Job
Description
Role Overview: As a lead resource in the GenAI team, you are expected to have 7-9 years of experience. Your expertise will be crucial in working with various operating systems such as MS Windows and Linux. Additionally, you should be proficient in languages like Python and SQL. Your role will involve deep learning using tools like TensorFlow and Keras, as well as machine learning with Pandas, NumPy, and Scikit Learn. Familiarity with DL models such as LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN, as well as ML models like Regression, Classification, Unsupervised, and Forecasting, will be essential. Experience in visualization tools like Power BI and Tableau, and working with cloud platforms such as Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, and Bedrock will be beneficial. Your expertise in Generative AI technologies like Open AI, Gemini, Gemma, Gpt Model, Lang chain, Hugging Face, RAG, and MCP will also be valuable in this role. Key Responsibilities: - Lead the GenAI team and provide technical guidance - Work with various operating systems including MS Windows and Linux - Utilize languages such as Python and SQL for data analysis - Implement deep learning techniques using TensorFlow and Keras - Apply machine learning algorithms with Pandas, NumPy, and Scikit Learn - Develop and deploy DL models like LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN - Build and evaluate ML models for Regression, Classification, Unsupervised, and Forecasting - Create visualizations using tools like Power BI and Tableau - Collaborate with cloud platforms such as Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, and Bedrock - Explore Generative AI technologies like Open AI, Gemini, Gemma, Gpt Model, Lang chain, Hugging Face, RAG, and MCP Qualifications Required: - 7-9 years of relevant experience in the field - Proficiency in MS Windows, Linux, Python, and SQL - Familiarity with deep learning frameworks like TensorFlow and Keras - Experience with machine learning tools such as Pandas, NumPy, and Scikit Learn - Knowledge of DL models like LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN - Ability to work with ML models for Regression, Classification, Unsupervised, and Forecasting - Expertise in visualization tools like Power BI and Tableau - Experience in cloud platforms like Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, and Bedrock - Understanding of Generative AI technologies including Open AI, Gemini, Gemma, Gpt Model, Lang chain, Hugging Face, RAG, and MCP Role Overview: As a lead resource in the GenAI team, you are expected to have 7-9 years of experience. Your expertise will be crucial in working with various operating systems such as MS Windows and Linux. Additionally, you should be proficient in languages like Python and SQL. Your role will involve deep learning using tools like TensorFlow and Keras, as well as machine learning with Pandas, NumPy, and Scikit Learn. Familiarity with DL models such as LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN, as well as ML models like Regression, Classification, Unsupervised, and Forecasting, will be essential. Experience in visualization tools like Power BI and Tableau, and working with cloud platforms such as Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, and Bedrock will be beneficial. Your expertise in Generative AI technologies like Open AI, Gemini, Gemma, Gpt Model, Lang chain, Hugging Face, RAG, and MCP will also be valuable in this role. Key Responsibilities: - Lead the GenAI team and provide technical guidance - Work with various operating systems including MS Windows and Linux - Utilize languages such as Python and SQL for data analysis - Implement deep learning techniques using TensorFlow and Keras - Apply machine learning algorithms with Pandas, NumPy, and Scikit Learn - Develop and deploy DL models like LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN - Build and evaluate ML models for Regression, Classification, Unsupervised, and Forecasting - Create visualizations using tools like Power BI and Tableau - Collaborate with cloud platforms such as Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, and Bedrock - Explore Generative AI technologies like Open AI, Gemini, Gemma, Gpt Model, Lang chain, Hugging Face, RAG, and MCP Qualifications Required: - 7-9 years of relevant experience in the field - Proficiency in MS Windows, Linux, Python, and SQL - Familiarity with deep learning frameworks like TensorFlow and Keras - Experience with machine learning tools such as Pandas, NumPy, and Scikit Learn - Knowledge of DL models like LLM, RNN, LSTM, Transformers, CNN, Yolo, and ANN - Ability to work with ML models for Regression, Classification, Unsupervised, and Forecasting - Expertise in visualization tools like Power BI and Tableau - Experience in cloud platforms like Azure, ML Studio, Azure Cognitive services, Data Robot, AWS, and Bedrock - Understanding of Generative AI technologies including Open AI, G
