Senior AI/ML Engineer

About this role

Role Summary Designs, develops, deploys, and optimises Artificial Intelligence (AI) and Machine Learning (ML) solutions within the Software Engineering Centre of Excellence (CoE). Works closely with software engineering squads, data teams, architects, DevOps, and business stakeholders to build scalable AI-enabled products, intelligent automation capabilities, predictive models, and advanced analytics solutions that support business and customer outcomes. Responsibilities

Design, develop, train, test, and deploy machine learning and AI models for enterprise and customer-facing solutions

Collaborate with software engineering squads, data engineers, architects, and product owners to integrate AI capabilities into digital products and platforms

Build scalable AI/ML pipelines and support operationalisation of models within production environments

Develop and optimise models for predictive analytics, automation, recommendation engines, NLP, GenAI, and intelligent decisioning solutions

Work with large structured and unstructured datasets to support AI solution development

Support AI platform engineering, model governance, monitoring, and continuous improvement practices

Implement MLOps and DevOps best practices for model deployment, testing, monitoring, and lifecycle management

Evaluate and recommend AI frameworks, tools, accelerators, and emerging technologies

Support development of reusable AI engineering assets, accelerators, and standards within the CoE

Collaborate with security, governance, and compliance teams to ensure responsible AI practices and data governance compliance

Support technical solution design, estimation, and implementation planning for AI-enabled initiatives

Provide technical leadership and mentorship to engineering teams on AI/ML engineering practices

Contribute to continuous improvement, innovation initiatives, and AI capability development within the Software Engineering CoE

Qualification & Experience

Bachelor's degree (BA/BS) in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering, or related field preferred

At least 8–10 years of experience in software engineering, AI, machine learning, or data engineering environments

At least 5 years of hands-on experience developing and deploying AI/ML solutions in enterprise environments

Experience with machine learning frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, MLflow, LangChain, or similar technologies

Experience with cloud AI platforms and services such as AWS, Azure, or Google Cloud

Experience with MLOps, CI/CD pipelines, containerisation, and cloud-native engineering practices

Strong understanding of software engineering principles, APIs, microservices, and scalable system design

Experience working within Agile software delivery teams

Preferred Skills

AI and machine learning model development

Generative AI and Large Language Model (LLM) integration

Natural Language Processing (NLP)

Predictive analytics and data modelling

MLOps and AI operationalisation

Python, SQL, and modern programming frameworks

Cloud engineering and distributed systems

API and microservices integration

Analytical and problem-solving capability

Strong stakeholder engagement and communication skills

Ability to simplify technical concepts for business stakeholders

Process improvement and innovation mindset

Ability to work independently and across multiple agile squads

Good communication (written and oral) and interpersonal skills

Good organisational, multi-tasking, and time-management skills

Originally posted on Himalayas