Our Client Currently looking for Senior Software Engineer III – AI/ML

Job Position :

– 5+ years of experience in software development, with a strong focus on full-stack and cloud technologies.

– Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.

– Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.

– Strong programming skills in at least two of the following : Python, Java, Go.

– Proficiency in deploying solutions on Azure Cloud.

– Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus).

– Proven ability to design and manage Azure Functions and Azure Container Apps.

– Strong understanding of cloud-native architecture, scalability, and performance optimization.

– Design and implement AI-driven solutions that align with business objectives.

– Expertise in AI/ML frameworks like TensorFlow and PyTorch, Agentic frameworks like LlamaIndex, LangChain

– Develop AI models, systems and infrastructure, including GenAI tools (e.g. GPT, GANs) NLP tools (SpaCy, NLTK, Hugging Face), ML and DL tools.

– Proficiency and hands-on experience in programming languages such as Python, R, Java, or C++.

– Collaborating with data scientists, engineers, and business stakeholders.

– Guide technology selection, ensuring solutions align with business goals and compliance standards.

– Developing scalable AI architectures and ensuring seamless integration with existing systems.

– Overseeing AI model deployment, optimization, and performance monitoring.

– Ensuring compliance with ethical AI guidelines and data privacy regulations.

– Experience with cloud platforms (AWS, Azure, or Google Cloud).

– Strong knowledge of DevOps, MLOps, and CI/CD pipelines.

– Understanding of big data technologies and analytics is preferable

– RDBMS (Oracle., SQL server or DB2)

– NoSQL (Mongo/docDb)

– Health care domain knowledge is preferable

– Excellent problem-solving skills and ability to think critically.

– Solid understanding of software development methodologies such as Agile and Scrum.

Job Responsibility :

– Strategic Planning : Developing AI strategies that integrate with enterprise goals and identifying opportunities for AI adoption.

– Solution Architecture : Design scalable AI frameworks, ensuring seamless integration with enterprise systems.

– Architecture & Development : Overseeing the development of scalable, high-performing applications requires a strategic approach, regardless of the tech stack.

– Code Quality & Reviews : Conduct code reviews and enforce best practices for clean, maintainable code.

– Collaboration : Working closely with data scientists, engineers, and business stakeholders to ensure AI solutions meet organizational needs.

– Model Deployment & Optimization : Overseeing AI model implementation, monitoring performance, and refining algorithms for efficiency.

– Security & Compliance : Ensuring AI solutions adhere to ethical guidelines, data privacy regulations, and cybersecurity best practices.

– Integration & Deployment : Ensure seamless integration of front-end and back-end components.

– Continuous Improvement : Establishing feedback loops to enhance AI models and maintain system reliability.

– Mentorship : Guide junior developers, providing technical support and career development.

– Innovation & Research.

Qualification :

– Bachelor’s/master’s degree in computer science or equivalent.

Experience :

Technical Experience :

– Machine Learning & AI : Expertise in AI models, neural networks, and ML frameworks like TensorFlow and PyTorch.

– Programming Languages : Proficiency in Python, R, Java, or C++ for AI development

– Front-End Development : Knowledge in HTML, CSS, JavaScript, React, Angular is value added.

– Microservices Architecture : Ability to design and implement scalable microservices.

– Data Engineering : Experience with ETL processes, data lakes, and big data technologies would be added advantage.

– Database Management : Knowledge of SQL, NoSQL, PostgreSQL, MongoDB.

– Cloud Computing : Familiarity with AWS, Azure, or Google Cloud for scalable AI solution.

– DevOps & MLOps : Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment.

– Security & Compliance : Understanding of ethical AI, data privacy regulations, and cybersecurity best practice

Leadership & Management Experience :

– Code Reviews & Best Practices : Enforcing coding standards and best practices.

– Agile & Scrum Methodologies

– Security & Performance Optimization.

– Unit Test frameworks.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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