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Job Description
Key Responsibilities
AI & Machine Learning Development
- Design, build, and deploy AI/ML models for classification, prediction, NLP, computer vision, and generative AI use cases.
- Fine-tune, optimize, and implement Large Language Models (LLMs) such as GPT, Llama, Falcon, or domain-specific models.
- Develop AI agents, Retrieval-Augmented Generation (RAG) systems, and automation workflows.
- Design, build, and optimize scalable ETL workflows using Informatica, SnapLogic, and AWS Glue.
- Develop and maintain robust data pipelines for ingestion, transformation, and loading into data warehouses.
- Manage and monitor data warehouse clusters and AWS EMR to ensure high availability, performance, and security.
- Write and optimize complex SQL queries for data extraction, transformation, and reporting.
- Implement data quality checks, validation frameworks, and data governance best practices.
- Work closely with data architects, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
- Automate workflows and operational processes using Python for improved efficiency.
- Troubleshoot and resolve data-related issues in production environments.
- Ensure compliance with organizational data security standards and industry best practices
Required Skills & Expertise
AI/ML & Advanced Analytics
- Experience with cloud AI services on Azure, AWS, or GCP.
- Familiarity with MLOps tools such as MLflow, Kubeflow, Docker, CI/CD pipelines.
- Understanding of RAG systems, embeddings, prompt engineering, and LLM evaluation.
- Exposure to GPU computing, distributed training, or ONNX optimization.
- Experience with computer vision, reinforcement learning, or multimodal AI models.
- Strong SQL expertise (query optimization, stored procedures, performance tuning).
- Hands-on experience with Informatica for ETL development.
- Proficiency with SnapLogic for integration and data flow automation.
- Experience with AWS Glue (serverless ETL) and AWS EMR for large-scale data processing.
- Experience with data warehouse platforms such as Snowflake, Redshift, BigQuery, or similar.
- Strong programming skills in Python for scripting, automation, and data processing.
- Understanding of data modeling, data governance, and data quality frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and modern data services.
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- Excellent problem-solving abilities and analytical thinking.
- Strong communication skills with the ability to work in a global, cross-functional environment.
- Bachelors degree in Computer Science, Information Technology, or equivalent discipline.
Skills
Advanced AnalyticsPythonData GovernanceData ModelingEtlData ExtractionData ProcessingMachine LearningSnowflakeAi/mlPrompt EngineeringLarge Language ModelsAnalyticsAiMlSqlData ScientistData EngineerIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
For more than 20 years, QuEST is a trusted global engineering services and solutions partner to many of the world's most recognized Fortune 500 companies in Aero Engines, Aerospace & Defense, Automotive, Medical Devices, Oil & Gas, Power, Industrial, Rail, Semiconductor, Consumer Electronics and Software & Internet. With global presence in 13 countries, 65 locations and 12000+ employees, QuEST is at the forefront of the convergence of Mechanical, Electronics, Software and Digital Services to engineer solutions for a safer, cleaner world. QuEST’s deep domain knowledge and digital expertise accelerate product development and innovation cycles, create alternate revenue streams, enhance consumer experience and make manufacturing processes and operations more efficient.
Important dates & deadlines?
Application Deadline
24 Apr 26, 03:59 PM IST
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