Snr Data Science Gen Ai Proactive

Data Science Gen Ai

Experience : 7-12 Years

general GenAI experience, the key skill we are looking for building Knowledge Graph solution .

• Experience in building Knowledge Graph using Graph Database such as AWS Neptune, Neo4j, Nebula etc.
• Familiarity with Graph formats RDF,  Property Graph and Graph query using SPARQL, openCypher etc. 
• Prior Experience working with Large Language model (LLM) and frameworks.
• Must have good cloud knowledge AWS preferred. 
• Programming Knowledge : Python, Java, TypeScript etc.
• Data Engineering: SQL, Spark.

Job Description:

Develop and fine tune NLP/NLU models, including transformer-based models (BERT, GPT etc.,) for a range of language understanding tasks (language generation, sentiment analysis, entity recognition etc.)

Additionally design and implement generative AI models by leveraging LLMs for text generation and understanding.

Preprocess and curate text data, including text cleaning, tokenization and data augmentation to prepare it for training NLP/NLU models Innovate and implement cutting edge algorithms to improve the performance, accuracy and efficiency of the NLP/NLU models Assess model performance using relevant NLP metrics and optimize models for real world applications.

Stay updated with latest developments in Generative AI specifically on NLP/NLU research and apply new techniques to enhance our solutions Strong expertise in NLP/NLU with focus on deep learning models and open source LLMs such as Llama 2, Falcon etc.

Proficiency in programming languages such as Python and experience with NLP libraries/frameworks like spaCy, NLTK, Hugging Face Transformers and Generative AI and LLM frameworks Familiarity with cloud computing platforms for model training and deployment Experience with tools like Langchain, Embedchain and Vector Database (Pinecone, FAISS, Milvus, ChromaDB, Vespa etc.) to enhance data processing and model development workflow as well as rich understanding of vector stores and search algorithms Exceptional problem solving skills and the ability to work on complex language understanding and Generative AI projects Experience designing control and sandboxing systems for AI research Hands on experience with Pytorch, TensorFlow Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Have experience supporting fast-paced startup engineering teams Experience maintaining and/or contributing to bug bounty and responsible disclosure programs A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.

Preferred Qualifications:

Research publications or contributions in the fields of NLP, NLU and Generative AI Experience with Conversational AI, Chatbots (Kore.ai, Botpress, Nuance etc.,)

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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