Data Scientist I (NLP) (Min 2 Yrs Exp)

 (2+ years exp)
₹10L – ₹20L • 0.0% – 0.5%
Published: 5 days ago
Avatar for Insync.ai

Insync.ai

AI Powered, Multi-modal CX Automation Platform for the enterprise

Job Location

Job Type

Full Time

Visa Sponsorship

Not Available

Remote Work Policy

In office - WFH flexibility

Relocation

Allowed

Skills

Python
Machine Learning
JSON
TensorFlow
NLP
PyTorch
Open AI GPT
GPT-3
Transformers (BERT, GPT)
Prompt Engineering
Llama2
LLMs, Langchain, Llama-Index, Huggingface

Hiring contact

Manish Jain

The Role

Job Description

As a Data Science Engineer at InsyncAI, you will need strong technical skills in data modeling, machine learning, data engineering, software development, as well as the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. You should also be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems.

You should join us if you...

are really passionate about conversational AI & want to solve some of the most complex problems in Natural Language Processing space deeply care about highly scalable, stable, automated, highly performant deployments are ready to take on the challenge of building & scaling a truly amazing AI platform to impact the lives of millions of customers & hundreds of brands are keen on becoming the part of growth story a startup and grow with it- are ready to work on a challenging but fun environment where learning new things is the way of work every day can think of solutions beyond boundaries and drive outcomes with full ownership deeply believe in customer obsession, can learn & innovate fast

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models.
  • Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation.
  • Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, PyTorch, and Keras.
  • Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques.
  • Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems.
  • Experience with JSON APIs and building RESTful web services.
  • Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment.
  • Exceptional writing and verbal communication skills, adept at presenting complex technical concepts to diverse audiences.

Responsibilities:

  • Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems.
  • Harness data science tools and techniques to develop PoCs, evolving solutions through adept prompt engineering and fine-tuning of models like GPT.
  • Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI.
  • Design and implement scalable data architectures to support the demands of data-driven and AI-powered solutions.
  • Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications.
  • Collaborate with cross-functional teams to comprehend their data and analytics needs, crafting tailored solutions.
  • Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques.
  • Engage in brainstorming sessions, reviews, and discussions with team members to deliver robust data science and AI solutions, focusing on the nuanced application of LLMs.
  • Stay abreast of the latest trends and developments in data engineering, data science, Generative AI, and related technologies.

About

Insync started developing powerful customer experience automation solutions in 2017 for enterprise customers. Today, Insync is the champion of great sales and support service everywhere for everyone by unlocking the power of conversational AI and powering millions of conversations, enabling top enterprise customers with hundreds of millions of their users, by providing powerful human-like virtual assistants over chat, email, messaging, social channels and phone. Our products are built with love to be loved. The company was conceived in San Jose California, built and grown here and in Bangalore. Learn more at https://insyncai.com .

More about Insync.ai

Founders

Ashish Parnami
Founder • 3 years
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