Posted:2 months ago|
Platform:
Hybrid
Full Time
Primary : Python, SQL, Gen AI, NLP, ML, and Deep Learning techniques Secondary: Data Analysis and Processing, Data Visualization Exploratory Data Analysis (EDA): Conduct thorough exploratory data analysis to uncover insights and trends from raw datasets. SQL: Proficiency in SQL to extract, manipulate, and analyze large datasets from relational databases. AI/ML Models: Strong experience in designing, building, and deploying AI or Gen AI based solutions. Cloud Technology : Must have a strong exposure in deploying AI/ Gen AI Models in Cloud Machine Learning: In-depth understanding and practical experience with machine learning algorithms and techniques. Deep Learning: Hands-on experience in deep learning models, particularly in NLP and computer vision. Natural Language Understanding (NLU): Expertise in applying NLU techniques to process and understand human language data. Python: Strong programming skills in Python, especially for data science tasks and NLP. Hugging Face Transformers: Experience with Hugging Face Transformers library for implementing state-of-the-art NLP models. BERT: Expertise in utilizing BERT for a variety of NLP tasks including text classification, named entity recognition, and question answering. NLP Algorithms: Knowledge of advanced NLP algorithms and techniques for text analysis and understanding. Model Fine-Tuning: Ability to fine-tune pre-trained models to improve their performance on domain-specific tasks. Text Analytics: Experience in text mining and extracting useful insights from large text datasets. Machine Learning Frameworks: Proficiency with machine learning frameworks like TensorFlow and PyTorch. Data Analysis and Processing: Strong skills in data analysis and preprocessing and feature engineering for model readiness. Data Visualization: Ability to present complex data and insights using visualization tools like Matplotlib, Seaborn, or similar. State-of-the-Art NLP Models: Integrate and apply cutting-edge NLP models and algorithms to extract valuable insights from large text datasets. Cross-functional Collaboration: Work closely with cross-functional teams to understand business needs and translate them into technical solutions using NLP techniques. Reporting and Presentation: Present findings and insights to stakeholders through clear, concise, and compelling reports and presentations. Qualifications Minimum 5+ years of experience in Data Science, particularly with Gen AI, NLP, ML, and Deep Learning techniques. Strong analytical and problem-solving skills. Ability to communicate complex technical concepts to non-technical stakeholders. Excellent teamwork and collaboration skills in a dynamic environment.
Virtusa
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
My Connections Virtusa
7.0 - 8.0 Lacs P.A.
10.0 - 15.0 Lacs P.A.
10.0 - 15.0 Lacs P.A.