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Generative AI Engineer
1 week ago
Total years of experience: 5+ Years
Location: Noida
Relevant experience for engagement: 3+ Years
Experience: 5+ years in cloud and AI architecture design, 3+ years in software development.
Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization.
AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques.
Big Data: Experience with Hadoop and Spark.
Ethics: Knowledge of AI ethics and governance.
Methodologies: Agile and Scrum project management.
Desired Skills & Experience:
API Development and Integration
Data Storage Solutions (SQL, NoSQL)
AI Model Optimization and Scaling; Model Evaluation and Validation
Monitoring and Logging (Prometheus, ELK Stack)
GenAI Model Utilization and MLOps
Proficiency in Data Engineering for AI, including preprocessing, feature engineering, and pipeline creation
Expertise in AI Model Fine-Tuning, Evaluation, and Bias Mitigation
Knowledge of Serverless Computing, Distributed Systems, Deep Learning Frameworks (TensorFlow, PyTorch), and Emerging Technology Trends
Verifiable Certification:
At least one recognized cloud professional certification (AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert)
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