AIML Engineer Digital & AInew

Job Description

Introduction

We are seeking a passionate and results-driven AI/ML Engineer to design, develop, and deploy machine learning and Generative AI solutions that power next-generation products and services. In this role, you will collaborate with product, engineering, and data teams to build scalable AI systems, intelligent applications, and cloud-native solutions leveraging Machine Learning, Deep Learning, Generative AI, MLOps, and modern software engineering practices to drive innovation and business impact.

What You'll Do

• You'll design, develop, train, optimize, and deploy machine learning and deep learning models, including predictive analytics, recommendation systems, classification models, NLP solutions, and model performance evaluation.
• You'll prepare and engineer structured and unstructured data, build scalable data pipelines, and collaborate with data engineering teams to ensure data quality, availability, and efficient training and inference workflows.
• You'll build and enhance Generative AI applications using LLMs, RAG architectures, prompt engineering, intelligent assistants, chatbots, and enterprise productivity solutions.
• You'll develop scalable backend services, APIs, and reusable AI components while integrating AI solutions with enterprise applications, external tools, and third-party platforms using software engineering best practices.
• You'll deploy, monitor, and maintain AI/ML solutions in cloud environments, implement CI/CD and MLOps practices, manage the model lifecycle, and partner with cross-functional stakeholders to design scalable, business-driven AI solutions.

What We Offer

• Competitive Compensation: Annual package including base salary, allowances, and performance incentives.
• Health & Insurance Coverage: Medical insurance, group term life insurance, and accident coverage.
• Allowances & Support: Transportation allowance, internet allowance, and shift allowance.
• Paid Time Off: Generous leave policy supporting work–life balance.
• Career Growth: Exposure to cutting‑edge AI/ML technologies and opportunities to work across Generative AI, MLOps, and cloud‑native solutions.

Qualifications

About You

• You hold a bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field, with 3-6 years of experience in AI/ML engineering, data science, or similar roles.
• You have strong hands-on experience with Python, SQL, machine learning and deep learning frameworks (Scikit-learn, TensorFlow, PyTorch), statistical analysis, feature engineering, and model training, evaluation, and deployment.
• You possess expertise in Generative AI technologies, including OpenAI/Azure OpenAI, LangChain or LangGraph, RAG architectures, prompt engineering, LLM evaluation, and data processing tools such as Pandas, NumPy, and ETL frameworks.
• You have experience with databases (PostgreSQL, MySQL, NoSQL), cloud platforms (Azure, AWS, or GCP), and modern DevOps practices using Git, Docker, CI/CD pipelines, and preferably Kubernetes, MLOps tools, and microservices architectures.
• You demonstrate strong problem-solving, communication, and collaboration skills, with knowledge of Agentic AI, vector databases, Responsible AI, observability tools, and a passion for AI innovation, continuous learning, ownership, and customer-focused delivery.

Additional Information

OUR COMMITMENT TO YOU AND THE ENVIRONMENT

Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment.  

There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. 

Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 6,500+ employees - from 94 nationalities, across 24 countries - to each achieve their potential.  Through IQ-EQ Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. 

We’re committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success lead to our sustainability and success. We’re emotionally invested in our clients right from the beginning.