Job Title: AI Engineer
We are seeking a skilled Ai Engineer to join our team. In this role, you will be responsible for developing and deploying generative AI models using various AWS services.
Responsibilities:
* Develop fine-tune and deploy Generative AI models using Bedrock SageMaker Lambda.
* Work with Large Language Models (LLMs) embeddings transformers and diffusion models for applications in NLP image generation and AI automation.
* Optimize prompt engineering fine-tuning and Reinforcement Learning from Human Feedback (RLHF) techniques.
* Build scalable MLOps pipelines for training and deploying GenAI models using SageMaker ECS and Kubernetes.
* Process and manage large-scale datasets for AI training using AWS Glue Athena and Redshift.
* Implement vector databases Pinecone Weaviate FAISS Amazon OpenSearch for efficient retrieval-augmented generation (RAG) applications.
* Design and optimize ETL pipelines for AI/ML data workflows.
* Collaborate with software engineers DevOps and product teams to integrate AI models into applications and APIs.
* Ensure security compliance and data privacy in AI/ML workflows.
* Monitor AI model performance and retraining needs using AWS CloudWatch MLFlow and other observability tools.
Requirements:
* Strong background in Data Science Machine Learning and Generative AI.
* Proficiency in Python SQL and ML frameworks TensorFlow PyTorch Hugging Face Transformers.
* Experience with AWS AI/ML services such as SageMaker Bedrock Lambda and Comprehend.
* Hands-on experience with LLMs embeddings transformers and diffusion models.
* Familiarity with Retrieval-Augmented Generation (RAG) vector databases and knowledge graphs.
* Experience in MLOps containerization Docker Kubernetes ECS and CI/CD for ML pipelines.
* Solid understanding of cloud optimization distributed computing and model scaling.
* Strong data engineering skills for processing large datasets in AWS Glue Athena or Spark.
* Knowledge of NLP image generation models or multimodal AI solutions.
What You'll Love About Working Here
* Join a multicultural and inclusive team environment.
* Enjoy a supportive atmosphere promoting work-life balance.
* Engage in exciting national and international projects.
* Your career growth is central to our mission.
* Training and certifications programs.
* Health and life insurance.
* Referral program with bonuses for talent recommendations.
* Great office locations.