Data Scientist

Impetus Technologies

Impetus Technologies is a leading digital engineering company specializing in data, cloud, and AI-driven solutions. Headquartered in Los Gatos, California , with global offices in India, Australia, and Canada , Impetus partners with Fortune 100 clients across banking, airlines, pharmaceuticals, and other industries.

Innovative establishments like Gathr, ClearTrail, Intellicus and Kyvos have emerged from the Impetus family. Impetus and its affiliate companies employ over 3700 engineers across continents. The group counts some of the largest companies in the world as its customers, including the biggest banks, airlines, and pharmaceutical companies across the globe.

The company is headquartered in Los Gatos, California.

Impetus was named Databricks Migration Partner of the Year, 2024 and is also recognized among the best employers in the industry by a variety of national and international organizations, including Great Place to Work, AVTAR and HRD Congress.

To know more about us, visit : https : / / www.impetus.com / about /

Experience- 8 to 10 years

Locations- Noida / Indore / Bangalore / Pune / Gurgaon

Job Description

• Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
• Implementing and fine-tuning the AI-generated text prompts using LLMs (eg : -GPT4)
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Use case derivation and solution creation from structured / unstructured data
• Storytelling, Business Communication, and Documentation
• Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data Engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image / Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure, and Databricks
• Optional - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

Acquire skills required for building Machine learning models and deploy them for production.

Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills

Develop Cloud based applications including LLM / GenAI and deploy them into production.