Lead Data Engineer for AI and Cloud Solutions
2 weeks ago
We are a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals.
We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth.
Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies.
A Competitive Salary: $140,000 - $200,000 per yearWe offer a competitive salary based on your experience and qualifications.
About the RoleThe ideal candidate will have hands-on experience working with LLMs (Large Language Models) or LangChain and OpenAI in particular.
You should be skilled in implementing and fine-tuning AI-generated text prompts using LLMs, such as GPT4.
- Familiarity with AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
- Ability to understand business requirements.
- Usecase derivation and solution creation from structured/unstructured data
- Story telling, 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, Natural Language Processing (NLP).
- ML services from Clouds such as AWS, GCP, Azure and Databricks
- Optional – Big Data -Basic knowledge on Spark, Hive
You will 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.
You will develop Cloud-based applications including LLM/GenAI and deploy them into production.
QualificationsBachelor's or Master's degree in CSE/IT or related field is required.
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