About the Role We are seeking a highly motivated and experienced AI Solutions Engineer to design, develop, and deploy AI-driven solutions that address complex business challenges across multiple industries. The successful candidate will play a pivotal role in translating business requirements into scalable, intelligent, and production-ready AI solutions, ensuring alignment between technical implementation and strategic business objectives.
The role requires hands-on expertise in Artificial Intelligence (AI), Machine Learning (ML), and end-to-end solution development, with practical domain knowledge across Banking, Financial Services and Insurance (BFSI), Retail, Industrial, and Manufacturing sectors.
The ideal candidate will have the ability to identify high-impact AI use cases and deliver innovative solutions for challenges such as fraud detection, demand forecasting, predictive maintenance, intelligent automation, and process optimization.
Key Responsibilities - Engage with business stakeholders across BFSI, Retail, Industrial, and Manufacturing sectors to understand business processes, operational challenges, and opportunities for AI adoption.
- Translate business requirements into technical solution designs, AI/ML architectures, implementation strategies, and proposals.
- Design, develop, and deploy end-to-end AI solutions, encompassing data collection, preprocessing, model development, testing, deployment, and ongoing monitoring.
- Build proof of concepts (POCs), prototypes, and production-ready applications tailored to industry-specific requirements, including:
- BFSI: Credit scoring, fraud detection, customer segmentation, and risk modelling.
- Retail: Personalisation, demand forecasting, inventory optimisation, and customer analytics.
- Industrial and Manufacturing: Predictive maintenance, automated quality inspection, and process optimisation.
- Collaborate with data engineers, software developers, and cross‑functional teams to integrate AI capabilities into enterprise platforms and business applications.
- Evaluate model performance, troubleshoot issues, and continuously enhance the accuracy, scalability, reliability, and efficiency of deployed solutions.
- Ensure AI solutions align with business objectives, technical standards, data requirements, and operational expectations.
- Keep abreast of emerging AI/ML technologies, industry developments, and best practices to identify opportunities for innovation and continuous improvement.
Required Qualifications and Experience - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline.
- Minimum of 3 years of relevant experience in AI/ML solution development, including hands‑on experience delivering production‑grade implementations.
- Practical experience in at least two of the following industry domains: BFSI, Retail, Industrial, or Manufacturing.
- Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit‑learn.
- Experience working with structured and unstructured data, including time‑series, text, and image datasets.
- Proficiency in designing scalable AI architectures, data pipelines, and deployment solutions across cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform, as well as on‑premises environments.
- Strong analytical and problem‑solving skills, with the ability to translate complex business challenges into effective technical solutions.
- Excellent communication and stakeholder‑management skills, with the ability to explain technical concepts to both technical and non‑technical audiences.
Preferred Qualifications - Experience developing domain‑specific AI applications, such as OCR‑based invoice processing, customer churn prediction, or industrial robotics.
- Familiarity with containerisation and orchestration technologies, including Docker and Kubernetes.
- Knowledge of MLOps practices covering model deployment, versioning, monitoring, and lifecycle management.
- Exposure to big data technologies such as Apache Spark, Hive, or Kafka.
- Experience working in Agile/Scrum environments and collaborating with multidisciplinary teams.
- Demonstrated ability to manage AI initiatives from initial concept through development, deployment, and continuous improvement.
What We Offer - A competitive compensation and benefits package.
- Opportunities to work on innovative AI initiatives across diverse industry verticals.
- A collaborative and innovation‑driven work environment.
- Opportunities for professional development, continuous learning, and exposure to emerging technologies.
- The opportunity to contribute to impactful AI solutions that drive business transformation and operational excellence.
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