Senior Data Scientist - Deep Learning/Machine Learning MResult
MResult
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: NLP, Data Engineering, data science, Ml, Logistic Regression, clustering, Classification, Decision Trees, Neural Networks, DL, LLMGenerative AI models, Boosting, Bagging models, LLMs, Python Programming, Pandas, Scikitlearn, PyTorch, Tensorflow, BERT, GPT, Langchain, AWS Environment, Ensemble Modelling, MLOps
About MResult
Job Description
As a candidate for the position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. It is essential to have a minimum of 3-5 years of experience in NLP-oriented data engineering or data science roles, focusing on ML, DL, and LLM/Generative AI models. Your expertise should include a strong background in NLP/NLG/NLU applications utilizing machine learning algorithms like Logistic Regression, Clustering, Boosting, Bagging models, and LLMs. Your role will involve understanding and constructing Gen AI, LLM models. This will encompass tasks such as data ingestion, preprocessing, search and retrieval, RAG, NLP/LLM model development, fine-tuning, prompt engineering, and ensuring alignment with technical and business requirements. Proficiency in Python programming and familiarity with libraries like Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT, and Langchain is vital. You are expected to engage with client stakeholders at various levels, offering consultative solutions across diverse domains. Strong analytical and problem-solving skills are necessary, enabling you to work both independently and collaboratively within a team-oriented environment. Your responsibilities will involve participating in project teams, collaborating with cross-functional teams, and contributing to all stages of AI-based product development. In this role, you will train, validate, and test machine learning models in an AWS environment, addressing complex NLP challenges using advanced algorithms and statistical methods. Designing and developing custom ML, Gen AI, NLP, LLM models will be a core aspect of your work. Collaboration with other team members in data science, MLOps, and technology teams is essential for the design, development, and implementation of ML model solutions. Being part of an agile team, you will identify and deliver solutions based on prioritized requirements. It is crucial to stay updated with the latest industry trends and technologies to ensure the continuous enhancement of your skills and knowledge.,