Machine Learning Engineer

Senior AI/ML Engineer

About the Role

We are seeking an exceptional Senior AI/ML engineer/Data Scientist to join our Innovation

Team and drive cutting-edge machine learning initiatives across the organization. This role

combines strategic thinking with hands-on technical expertise, requiring deep knowledge in

classical machine learning, deep learning, and generative AI technologies. You'll lead

high-impact projects, mentor junior team members, and shape our AI strategy while working

with state-of-the-art technologies.

Key Responsibilities

● Demonstrate ability to work on data science projects involving predictive modelling, NLP,

statistical analysis, vector space modelling, machine learning and agentic AI workflows ●

Leverage rich datasets of user data to perform research, develop models and create data

products with Development & Product teams

● Develop novel and scalable data systems in cooperation with system architects that

leverage datasets using machine learning techniques to enhance the user experience ●

Design, develop, and deploy end-to-end machine learning solutions using classical ML

algorithms, deep learning frameworks, and generative AI models

● Build and optimize large-scale ML pipelines for training, inference, and model serving in

production environments

● Implement and fine-tune foundation models, including LLMs, vision models, and

multimodal AI systems

● Lead experimentation with cutting-edge generative AI techniques including prompt

engineering, RAG systems, AI agents, and agentic workflows for complex task

automation

● Collaborate with product managers and engineering teams to identify high-value AI

opportunities and translate business requirements into technical solutions

Required Qualifications

Technical Expertise

● Knowledge and experience using statistical and machine learning algorithms including

regression, instance-based learning, decision trees, Bayesian statistics, clustering,

neural networks, deep learning, ensemble methods

● Expert knowledge in Python with strong proficiency in SQL and ML frameworks

(scikit-learn, TensorFlow, PyTorch)

● Should have done one or more projects involving fine-tuning with LLMs

● Experience in feature selection, building and optimising classifiers

● Experience working with backend technologies such as Flask/Gunicorn etc. ●

Extensive experience with deep learning architectures (CNNs, RNNs, Transformers,

GANs) and modern optimization techniques.

● Hands-on experience with generative AI technologies including LLMs (GPT, BERT, T5),

prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agentic AI

workflows

● Experience designing and implementing AI agent architectures, multi-agent systems,

and autonomous decision-making frameworks

● Proficiency with cloud platforms (AWS, GCP, Azure) and ML operations tools (MLflow,

Kubeflow, Docker, Kubernetes)

● Strong knowledge of data preprocessing, feature engineering, and model evaluation

techniques

● Proven track record of deploying ML models in production environments with

demonstrated business impact

● Experience with A/B testing, causal inference, and experimental design methodologies