Senior Generative AI Engineer

Description

Why Ness 

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world. 

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. 

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation. 

Requirements and responsibilities 

What you’ll do: 

• Collaborate with cross-functional teams to design, develop, and implement cutting-edge Generative AI solutions.
  
• Research and experiment with the latest advancements in Generative AI, ensuring our solutions remain on the leading edge of technology.
  
• Optimize and fine-tune models for performance, scalability, and efficiency.
  
• Work on end-to-end development, from ideation to deployment, ensuring a seamless integration of Generative AI into various software ecosystems.
  
• Stay abreast of industry trends, emerging technologies, and best practices, contributing to a culture of continuous learning and improvement.

What you’ll bring: 

• Advanced degree in Computer Science, Machine Learning, or a related field;
  
• 6+ years of experience as an AI/ML engineer/data scientist;
  
• Proven experience in developing and implementing Generative AI solutions;
  
• Solid understanding of deep learning concepts, neural networks, and reinforcement learning;
  
• Solid understanding of Large Language Models, Transformers architecture, self-attention, mixture of experts, and embedding models;
  
• Proven experience with advanced Retrieval Augmented Generation and GenAI Agents;
  
• Experience with LangChain / LangSmith / LangGraph, LlamaIndex and HuggingFace;
  
• Experience with model fine-tuning;
  
• Hands-on data pre-processing experience;
  
• Strong Python expertise;
  
• Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar
  Experience with AWS development and deployment (ECS, Lambda, S3);
  
• Strong expertise with AWS Bedrock and SageMaker;
  
• Strong expertise with LLMOps;
• Expertise with Docker and Kubernetes;
  
• Strong problem-solving skills and a passion for tackling complex challenges.

Not checking every single requirement? 

If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. 

Let’s meet and you may just be the right candidate for one of our roles. 

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.