Gen AI (Data Science)

Job Description: Data Science - Generative AI Specialist

Role: Associate Specialist / Specialist

Software Requirements

• Expertise in Knowledge Graph solutions and technologies.
• Solid foundation in Natural Language Processing (NLP) and Natural Language Understanding (NLU) principles.

Overall Responsibilities

• Develop and fine-tune NLP/NLU models, including transformer-based models (e.g., BERT, GPT) for language understanding tasks such as generation, sentiment analysis, and entity recognition.
• Design and implement generative AI models by utilizing large language models (LLMs) for text generation and comprehension.
• Innovate and implement cutting-edge algorithms to enhance the performance and efficiency of NLP/NLU models.

Category-wise Technical Skills

Knowledge Graph Development:

• Experience building Knowledge Graphs using Graph Databases (e.g., AWS Neptune, Neo4j, Nebula).
• Familiarity with Graph formats (RDF, Property Graph) and query languages (SPARQL, openCypher).

NLP/NLU Expertise:

• Strong expertise in deep learning models for NLP/NLU, including LLM frameworks.
• Proficiency in NLP libraries and frameworks (spaCy, NLTK, Hugging Face Transformers).

Programming Skills:

• Programming knowledge in Python, Java, TypeScript.
• Experience in Data Engineering using SQL and Spark.

Cloud Technologies:

• Good knowledge of cloud computing platforms, with AWS preferred for model training and deployment.

Data Processing Tools:

• Familiarity with tools like Langchain, Embedchain, Vector Databases (e.g., Pinecone, FAISS, Milvus) to streamline data processing and model workflow.

Experience

• Total: 7-12 years of experience in data science and generative AI-related roles.
• Experience working with large language models (LLMs) and frameworks.

Day-to-Day Activity

• Preprocess and curate text data, including text cleaning, tokenization, and data augmentation for model training.
• Assess model performance using relevant NLP metrics and optimize models for real-world applications.
• Stay updated with the latest advancements in Generative AI and NLP/NLU research and apply new techniques to enhance solutions.

Qualification

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Soft Skills

• Exceptional problem-solving skills with the capacity to tackle complex language understanding and AI projects.
• Strong teamwork and collaboration skills, capable of supporting fast-paced startup environments.
• A well-known contributor to open-source initiatives and adept at thinking outside the box.

• Research publications or contributions in NLP, NLU, and Generative AI domains.
• Experience with Conversational AI and Chatbots (e.g., Kore.ai, Botpress, Nuance).

• Hands-on experience with MLOps and an understanding of the end-to-end CI/CD process.
• Experience in designing control and sandboxing systems for AI research.

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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