Lead Aiml Engineer

About the Company

We are a leading global technology and consulting organization delivering innovative digital transformation, cloud, data, and AI solutions to enterprises worldwide. With a strong presence across multiple geographies, we help organizations leverage cutting-edge technologies to solve complex business challenges, accelerate growth, and drive operational excellence. Our teams work on large-scale, enterprise-grade technology initiatives that create measurable business impact.

Role Overview

We are seeking an experienced Lead AI/ML Engineer to lead the design, development, deployment, and optimization of scalable Artificial Intelligence and Machine Learning solutions. This role requires a strong blend of hands-on technical expertise, solution architecture, and leadership capabilities to drive AI initiatives from concept to production.

The ideal candidate will have deep expertise in machine learning, MLOps, cloud-native AI platforms, and modern AI technologies including Generative AI and Large Language Models (LLMs). You will collaborate with cross-functional teams to deliver robust, scalable, and business-driven AI solutions while mentoring engineers and establishing best practices across the AI ecosystem.

Key Responsibilities

• Lead the end-to-end development lifecycle of AI and Machine Learning solutions, from problem definition to deployment and monitoring.


• Design, build, and deploy predictive models, recommendation engines, forecasting solutions, anomaly detection systems, classification models, and optimization algorithms.


• Translate business requirements into scalable AI and ML architectures and implementation roadmaps.


• Develop reusable frameworks and pipelines for data processing, feature engineering, model training, validation, testing, deployment, and monitoring.


• Build production-grade AI solutions that are scalable, reliable, secure, and maintainable.


• Collaborate with Data Engineers, Software Engineers, Product Managers, and business stakeholders to integrate AI capabilities into enterprise applications.


• Implement MLOps best practices including experiment tracking, model versioning, CI/CD pipelines, automated deployments, monitoring, drift detection, and retraining strategies.


• Drive AI governance, model explainability, responsible AI practices, testing standards, and documentation.


• Mentor AI/ML Engineers and Data Scientists while establishing development standards and reusable accelerators.


• Evaluate emerging AI technologies and recommend innovative solutions to enhance business outcomes.

Required Qualifications

• 8+ years of experience in Artificial Intelligence, Machine Learning, Data Science, or Advanced Analytics.


• Strong expertise in supervised and unsupervised learning, feature engineering, model evaluation, optimization, and performance tuning.


• Advanced proficiency in Python and AI/ML libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, XGBoost, and LightGBM.


• Experience building and deploying end-to-end ML pipelines in production environments.


• Hands-on experience with cloud-based AI platforms and MLOps tools.


• Strong understanding of APIs, SQL, data pipelines, feature stores, model registries, and monitoring frameworks.


• Experience with containerization and orchestration technologies such as Docker and Kubernetes.


• Strong knowledge of model governance, explainability, bias detection, drift monitoring, and AI quality standards.


• Excellent communication, stakeholder management, and technical leadership skills.

Preferred Qualifications

• Experience leading enterprise-scale AI and ML transformation initiatives.


• Expertise in Forecasting, Recommender Systems, NLP, Computer Vision, Optimization, or Anomaly Detection solutions.


• Strong experience with Large Language Models (LLMs), Generative AI, Embeddings, Retrieval-Augmented Generation (RAG), and AI-powered applications.


• Familiarity with Azure OpenAI, AI Studio, Vector Databases, AI Search platforms, and Responsible AI frameworks.


• Experience with distributed training, large-scale data processing, and enterprise AI platforms.


• Ability to influence AI strategy, architecture decisions, and technology roadmaps while remaining hands-on.

Must-Have Skills

• AI/ML Engineering


• Python


• Machine Learning


• MLOps


• Model Deployment & Monitoring


• Data Science


• Cloud AI Platforms

Good-to-Have Skills

• Large Language Models (LLMs)


• Generative AI


• RAG Architectures


• NLP


• Azure AI Services


• Kubernetes & Docker


• Distributed Machine Learning

Why Join Us?

• Work on cutting-edge AI and Machine Learning initiatives with global impact.


• Lead enterprise-scale AI transformation programs.


• Collaborate with highly skilled engineering, data, and product teams.


• Opportunity to shape AI strategy, architecture, and innovation across the organization.


• Accelerated career growth in a technology-driven and innovation-focused environment.