12 Exult Jobs

Role :Senior AI/ML Engineer. Experience :4+ yrs. Work Mode :Remote. Joining Timeframe :Immediate to 15 days. Role :Senior AI/ML Engineer. Key Responsibilities. Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals.

Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases.

Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications. Leverage AWS Bedrock and other AWS services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions.

Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions.

Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control.

Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments.

Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency.

Implement responsible AI practices, incorporating guardrails and moderation mechanisms.

Collaborate with cross-functional teams to translate AI insights into impactful solutions.

Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Qualifications. 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python.

Expertise in AWS services, particularly AWS Bedrock and Lambda functions.

Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs.

Deep understanding of LangChain components and advanced NLP techniques.

Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub.

Familiarity with best practices in system design, including security, performance optimization, and scalability.

Proven ability to write high-quality production code and work in collaborative environments.

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