Consultant

As a Machine Learning Engineer at Grant Thornton INDUS, your role involves utilizing your hands-on experience in Machine Learning Model and deep learning development using Python. You will be responsible for Data Quality Analysis, Data preparation, Exploratory Data Analysis, and visualization of data. Your tasks will include defining validation strategies, preprocessing or feature engineering on datasets, and defining data augmentation pipelines. Additionally, you will be working on text processing using Machine Learning and NLP for processing documents. Key Responsibilities: - Hands-on experience in Machine Learning Model and deep learning development using Python - Data Quality Analysis and Data preparation - Exploratory Data Analysis and visualization of data - Defining validation strategies - Defining preprocessing or feature engineering on datasets - Defining data augmentation pipelines - Text processing using Machine Learning and NLP for processing documents - Training models and tuning their hyperparameters - Analyzing the errors of the model and designing strategies to overcome them - Utilizing Python packages like Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, Matplotlib - Working on Azure open AI studio or openai using Python or LLAMA or Langchain - Working on Azure function and Python flask/api development/streamlit - Working on prompt engineering, conversational AI - Working on LLM models like word2Vec, Glove, spacy, BERT embedding models - Strong problem-solving, strategic, and analytical capabilities - Excellent time-management and organization skills - Knowledge in Programming languages like Python, Reactjs, SQL, big data - Excellent verbal and written communication between business and technical architects and developers Qualifications Required: - 2 - 4 years of relevant experience - Bachelors Degree in Computer Science, Computer Engineering, Masters in Computer Application, MIS, or related field - End to End development experience in deployment of the Machine Learning model using Python and Azure ML studio - Exposure in developing client-based or web-based software solutions - Certification in Machine Learning and Artificial Intelligence - Good to have experience in power platform or power pages or Azure OpenAI studio Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Established in 2012, Grant Thornton INDUS employs professionals across various disciplines including Tax, Audit, Advisory, and other operational functions. The company is focused on making business more personal and building trust into every result. Grant Thornton INDUS values collaboration, quality, strong relationships, and operational efficiencies. The culture at Grant Thornton INDUS is characterized by empowered people, bold leadership, and distinctive client service. Professionals at Grant Thornton INDUS actively engage with communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has offices in Bengaluru and Kolkata.,