Senior Generative AI Engineer

Company Description

Business Core Solutions (BCS) partners with organizations of all sizes, from fast-growing innovators to global enterprises, providing transformative technology and services. With a mission centered on driving change through people, BCS integrates social responsibility into its operations, including fostering opportunities for underrepresented individuals and supporting underserved communities. The company offers cutting-edge products such as Symphony for operational automation, Anugal for identity governance, and DQView for data quality assurance. BCS also provides services in SAP consulting, cloud migration, compliance, Salesforce solutions, and OpenText expertise. At BCS, purpose, innovation, and inclusivity pave the path to orchestrating the future of enterprise.

Role Description

This full-time, on-site role located in Tamil Nadu, India, is for a Senior Generative AI Engineer. Responsibilities include developing and deploying state-of-the-art generative AI models and applications, conducting research, and identifying solutions to complex machine learning challenges. The engineer will collaborate with cross-functional teams to design innovative AI-driven solutions, optimize models for scalability and performance, and ensure responsible AI practices are upheld. The role also entails staying updated on trends in AI technologies to drive innovation within the company.

Qualifications

• Strong expertise in Generative AI algorithms, machine learning models, and deep learning techniques
• Proficiency with programming languages and tools such as Python, TensorFlow, PyTorch, or similar frameworks
• Experience in designing, training, and deploying advanced AI models at scale
• Ability to conduct AI research, solve complex computational problems, and ensure algorithmic fairness
• Strong analytical and problem-solving skills alongside effective communication and collaboration abilities
• Knowledge of AI ethics, data privacy, and regulatory compliance practices is a plus
• Master’s or Ph.D. in Computer Science, Data Science, or a related field; relevant experience is also considered