Innovative AI/ML Solutions Architect

6 days ago

meerut, India beBeeArtificial Full time

**Job Opportunity:** AI/ML Engineer with AWS ExpertiseMindful of the ever-evolving landscape of Artificial Intelligence (AI) and Machine Learning (ML), we are seeking a highly skilled AWS AI/ML Engineer to spearhead the development and maintenance of innovative AI and ML services on Amazon Web Services (AWS).Key Responsibilities:Design, develop, and deploy high-quality Python + FastAPI services that seamlessly integrate ML and Large Language Model (LLM) capabilities.Utilize AWS Bedrock and Amazon SageMaker for end-to-end ML model development, deployment, monitoring, and optimization.Implement and support complex ML flows/pipelines under senior architect guidance, ensuring seamless integration and scalability.Collaborate with data teams to prepare high-quality datasets for model training, validation, and evaluation, driving business outcomes through informed decision-making.Contribute to automated testing, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and observability for ML-powered services, ensuring reliability, efficiency, and maintainability.Produce comprehensive documentation for services, endpoints, and ML pipelines, facilitating knowledge sharing and collaboration.**Requirements and Qualifications: Minimum 2 years of experience as a software engineer or ML engineer in developing and deploying scalable AI and ML solutions.Strong foundation in Python programming, with expertise in frameworks like FastAPI, Flask, or similar.Demonstrated hands-on experience with AWS services, including Amazon Bedrock and Amazon SageMaker, with a deep understanding of their strengths and limitations.Basic understanding of LLM principles, including prompts, responses, error modes, and common limitations, with a focus on optimizing performance and usability.Solid grasp of ML fundamentals, including train/validation/test splits, basic models, and evaluation metrics, with a commitment to delivering high-impact results. Familiarity with ML workflows/pipelines and MLOps concepts, with a passion for staying up-to-date with industry trends and innovations.Ability to thrive in a remote, asynchronous engineering environment, with excellent communication skills and a collaborative mindset.**Benefits and Opportunities: Opportunity to work with cutting-edge technologies and drive innovation in the field of AI and ML.Collaborative and dynamic work environment, with opportunities for growth and professional development.Chance to make a meaningful impact on business outcomes through the effective application of AI and ML techniques.

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