PitchMeAI
Enterprise Bot

Data Scientist

Enterprise Bot · Bengaluru, Karnataka, India

  • On site
  • Full-time
  • $120,000 / year
  • Bengaluru, Karnataka, India

Job highlights

  • Develop deep learning and LLM models for enterprise problems.
  • Deploy and scale AI solutions into production environments.
  • Utilize Python for ML application development and deployment.
  • Work with unstructured and structured data for analytics.
  • Contribute to a leading AI automation software provider.

About the role

Data Scientist at Enterprise Bot

Enterprise Bot is a leading provider of GenAI, Conversational AI, and automation software, headquartered in Zurich, Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency, reduce costs, and deliver exceptional customer experiences across industries such as banking, insurance, and logistics. Our mission is to become the world’s #1 AI-driven automation software provider within the next five years. We work with leading companies such as the SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer interactions and automate business processes using our cutting-edge Conversational AI technology. Our global team includes more than 70 highly skilled professionals from diverse backgrounds. We foster an open, progressive company culture with state-of-the-art technology and flat hierarchies. At Enterprise Bot, you’ll experience a unique blend of passion, purpose, challenge, and fun.

Tasks

We are looking for a full-time Data Scientist for our Bangalore office. As an integral part of the team, you will work within multi-disciplinary teams and with external collaborators to identify opportunities for leveraging data, developing proof-of-value prototypes and implementing data science and AI solutions that solve R&D enterprise level problems.

Role & Responsibilities:

  • Design and development of deep learning & LLM based models on unstructured and Structured Data.
  • Focus on delivering algorithms at scale, not just designing them.
  • Build and deploy deep learning techniques in production.
  • Design and develop software modules for data ingest, data transform, and analytics.
  • Deliver customized solutions in a timely manner.
  • Monitor and maintain high quality and accuracy of models during deployment.

Requirements:

  • 2-3 years of experience in machine learning, deep learning, LLM-based models, NLP, and data science.
  • Strong skills in Python.
  • Hands-on experience in developing & running ML applications in production.
  • Familiarity with training and serving large language models in production.
  • Hands-on experience in building and implementing advanced statistical analysis, machine learning, and data mining.
  • Strong understanding of Computer Science fundamentals.

Benefits:

  • Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions.
  • Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
  • Collaborate with diverse, global teams passionate about excellence.
  • Competitive salary and scope for further advancement.
  • An environment promoting open feedback and flat hierarchy.

If you’re passionate about technology, love solving complex problems, and are eager to be part of a dynamic, innovative team, your journey starts here. Join us in harnessing cutting-edge AI solutions to drive data-driven insights and make a lasting impact.

Key skills/competency

  • Data Science
  • Machine Learning
  • Deep Learning
  • LLM
  • NLP
  • Python
  • Production Deployment
  • Algorithm Design
  • Statistical Analysis
  • Computer Science

Skills & topics

  • Data Scientist
  • Machine Learning
  • Deep Learning
  • LLM
  • NLP
  • Python
  • AI
  • Data Science
  • Conversational AI
  • Automation

How to get hired

  • Tailor your resume: Highlight machine learning, deep learning, LLM, NLP, and Python skills. Quantify achievements in deploying models.
  • Showcase production experience: Emphasize hands-on experience developing and running ML applications in production environments.
  • Demonstrate problem-solving: Prepare to discuss how you’ve solved complex data science challenges and delivered solutions at scale.
  • Understand fundamentals: Be ready to discuss core computer science principles and advanced statistical analysis.
  • Research Enterprise Bot: Understand their GenAI, Conversational AI, and automation software and their mission.

Technical preparation

Master Python for data science and ML libraries.,Practice building and deploying deep learning models.,Study LLM architectures and NLP techniques.,Review data ingestion and transformation processes.

Behavioral questions

Describe a complex data problem you solved.,How do you ensure model accuracy in production?,Share an experience of working in diverse teams.,How do you handle delivering solutions under pressure?

Frequently asked questions

What are the primary responsibilities of a Data Scientist at Enterprise Bot?
As a Data Scientist at Enterprise Bot, your primary responsibilities will include designing and developing deep learning and LLM-based models for both structured and unstructured data, deploying these models into production at scale, and developing software modules for data processing and analytics.
What experience is required for the Data Scientist role at Enterprise Bot?
The role requires 2-3 years of experience in machine learning, deep learning, LLM-based models, NLP, and data science. Strong Python skills and hands-on experience with production ML applications and large language models are essential.
What kind of projects will a Data Scientist work on at Enterprise Bot?
You will work on R&D enterprise-level problems, identifying opportunities to leverage data, developing proof-of-value prototypes, and implementing data science and AI solutions. This involves working with leading companies in banking, insurance, and logistics.
What is Enterprise Bot's company culture like?
Enterprise Bot fosters an open, progressive culture with state-of-the-art technology and flat hierarchies. The team values a blend of passion, purpose, challenge, and fun, with a focus on collaboration, creativity, and client service.
What are the benefits of working as a Data Scientist at Enterprise Bot?
Benefits include being part of a rapidly growing AI company, shaping impactful solutions for leading global enterprises, working in a diverse and collaborative team, competitive salary, and opportunities for advancement in an environment that promotes open feedback.
What technical skills are most important for this Data Scientist position?
Key technical skills include Python, machine learning, deep learning, LLM, NLP, statistical analysis, data mining, and a strong understanding of computer science fundamentals, particularly in the context of developing and deploying models at scale.