Job
Description
Design, develop, and implement AI and Generative AI solutions to address business problems and achieve objectives.Gather, clean, and prepare large datasets to ensure readiness for AI model training.Train, fine-tune, evaluate, and optimise AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive more intelligent workflows and improved productivity.Develop reusable tools, libraries, and components that standardise and accelerate the development of AI solutions across the organisation.Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments.Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs.Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components.Participate in software design reviews, code reviews and project planning.Write and review documentation and technical blog posts.Contribute to the department's attainment of organisational objectives and high customer satisfaction. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 8 to 12 years of strong software development work experience with :Excellent C++ OR GO Lang programming skills.Hands-on with MySQL or any other relational Data BaseExperience with Linux / Cent OS / RHELExperience with Python programming skills. 6+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Solid understanding of ML/AI conceptsEDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions.Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain, Langraph,CrewAI, Experience in LLM application development based on the Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.Proficient in microservices development using Python (Django/Flask or similar technologies).Experience in Agile development methodologiesFamiliarity with platforms like Kubernetes and experience building on top of the native platformsExperience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).Experience designing, building, and maintaining data processing systems working in containerised environments (Docker, OpenShift, k8s)Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Exposure to MLOPs frameworks and LLMOPsUnderstanding of security and ethical best practices for data and model developmentExposure to the use of open-source software.Exposure and understanding of Cloud systems like AWS, Azure & GCP.Exposure to TerraformEnterprise networking background.
