Senior Delivery Consultant- GenAI / ML, AWS

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. At ProServe we help AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data architects, data scientists, ML engineers working step-by-step with customers to build solutions that harness the power of generative AI. Key job responsibilities As an experienced technology professional, you will be responsible for : Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI / ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts BASIC QUALIFICATIONS 5 years of cloud based solution (AWS or equivalent), system, network and operating system experience Bachelor's degree in computer science, engineering, mathematics or equivalent Experience in software development with object oriented language Demonstrated experience in hosting and deploying GenAI / ML solutions in production (e.g., for training, fine tuning, and inferences) PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field Strong working knowledge of deep learning, machine learning and statistics Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts J-18808-Ljbffr J-18808-Ljbffr

Location: varedo, IT

Posted Date: 6/15/2025