Senior AI Engineer - Machine Learning Models

<p><b>Required Skills & Qualifications :</b><br/><br/>- Bachelor's or master's degree in computer science, Engineering, Data Science, Mathematics, Statistics or related fields.

<br/><br/>- At least 3 years of professional experience in AI/Machine Learning engineering.

<br/><br/>- Strong programming skills in Python and Java.

<br/><br/>- Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG) based chatbots or similar generative AI applications.

<br/><br/>- Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.

<br/><br/>- Solid understanding of AI methodologies, including natural language processing (NLP),vector databases, embedding models, and large language model integrations.<br/><br/>- Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.<br/><br/><b>Preferred Qualifications : </b><br/><br/>- AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).

<br/><br/>- Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar.

<br/><br/>- Experience in Agile development methodologies.

<br/><br/>- Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.<br/><br/>- Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenge</p> (ref:hirist.tech)