Senior Data Scientist
Exp: 3-6 yrs.
Work Location: Hyderabad, India
No. of positions: 1
Foundation AI is seeking a Senior Data Scientist with a strong focus on Natural Language Processing (NLP) and Large Language Models (LLMs). In this role, you will lead the research, development, and optimization of advanced algorithms that enable computers to understand, interpret, and generate human language.
As a Senior Data Scientist, you'll play a pivotal role in researching, developing, and enhancing algorithms that empower computers to learn from text. Your primary focus will be on improving accuracy, reducing costs, and enhancing efficiency through the development of cutting-edge NLP capabilities. By harnessing the power of structured and unstructured data, you'll contribute to the advancement of AI-driven solutions aimed at revolutionizing our client services.
Utilize both structured and unstructured data (text, images, video, audio) to develop AI and ML models.
Conduct research on emerging AI and ML techniques, with a focus on NLP.
Hands-on experience with advanced models such as Transformers (BERT, RoBERTa), CNN, LSTM, XGBoost, GPT, YOLO, etc.
Experience in fine-tuning LLMs for tasks such as Information Extraction and Document Summarization
Optimize the model performance using techniques such as Quantization, Pruning, LoRA
Ensure data integrity through processing, cleansing, and verification.
Apply pattern recognition, knowledge graph, classification, and regression techniques to solve complex problems.
3-6 years of hands-on experience in data science, with a strong understanding of Machine Learning principles.
Proficiency in NLP and experience with BERT family models.
Familiarity with Deep Learning frameworks like TensorFlow and PyTorch.
Building and deploying LLMs in Production at scale
Excellent programming skills in Python, with additional experience in Java and Scala as a plus.
Strong SQL skills for data manipulation.
Experience building ML/DL models at scale and proficient in Git.
Knowledge of Docker/Kubernetes, Web Application Development, PySpark, and Big Data technologies is advantageous.
A proactive attitude and a passion for making a meaningful impact.
Minimum 2 years of experience in NLP, including text classification, information extraction, and named entity recognition.
Proficiency with BERT family models (BERT, RoBERTa, DistilBERT).
Experience with building LLMs (Open Source/Commercial), such as Mistral, LLaMA, T5, Falcon, Vicuna, MPT, openAI, Claude, BARD.
Optimally deploying Open Source LLMs in Production
Strong experience with TensorFlow and PyTorch.
Expertise in Python programming.
Working knowledge of PostgreSQL, Docker, Git, MLOps, and building pipelines in model monitoring.
Demonstrated experience deploying NLP models in production environments.
