Remote AI Engineer with AWS Experience (Remote - India)

Description:

• The position is for an AI Engineer with AWS Experience, working remotely from India.
• The role involves developing and deploying generative AI solutions that transform enterprise operations.
• Responsibilities include designing, integrating, and optimizing intelligent systems using advanced AWS tools and Large Language Models (LLMs).
• The engineer will collaborate with cross-functional teams to build scalable AI-powered applications, ensuring performance, accuracy, and innovation.
• Key accountabilities include designing and deploying AI and machine learning models using AWS services, building scalable generative AI solutions, integrating AI models with enterprise data, developing NLP-based chatbots, and implementing monitoring and performance optimization of AI models.
• The engineer will stay current with advancements in AI/ML and AWS services and document AI systems from design to deployment.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field is required.
• Candidates must have 4+ years of experience in Data Science and Machine Learning with proven project delivery.
• Proficiency in programming languages such as Python, R, Java, or equivalent is necessary.
• Hands-on experience with Large Language Models and NLP-based applications is required.
• Strong expertise with AWS services including Bedrock, SageMaker, Lambda, EC2, S3, Glue, and Athena is essential.
• Demonstrated success in building chatbots or conversational AI solutions is needed.
• Excellent analytical, problem-solving, and communication skills are required.
• Candidates must be able to thrive in a collaborative, fast-paced team environment.
• An AWS Certified Machine Learning Specialty is a strong advantage.

Benefits:

• The position offers a competitive salary package aligned with skills and experience.
• Comprehensive healthcare and wellness benefits are provided.
• It is a remote-first role with flexibility in working arrangements.
• Employees enjoy a 5-day working week with paid time off.
• There are opportunities for continuous professional growth and certifications.
• The company promotes an inclusive, innovative, and supportive work culture.