Senior Software Development Engineer (AI / ML)

Position summary :

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Responsibilities

• Design and Develop AI-Powered Solutions  : Architect and implement scalable AI / ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
• End-to-End Model Development  : Lead the entire lifecycle of AI models from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
• Fine-Tuning Customization  : Leverage techniques like  LoRA (Low-Rank Adaptation) and Q-LoRA  to efficiently fine-tune large models for specific business applications.
• Reasoning Model Implementation  : Work with advanced  reasoning models such as DeepSeek-R1  , exploring their applications in enterprise AI workflows.
• Data Engineering Dataset Creation  : Design and curate high-quality datasets optimized for  fine-tuning AI models  , ensuring robust training and validation processes.
• Performance Optimization Efficiency  : Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
• MLOps CI / CD Pipelines  : Implement best practices for  MLOps  , ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
• Cloud Edge AI Deployment  : Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore  edge AI deployment  where applicable.
• API Development Microservices  : Develop  RESTful APIs and microservices  to integrate AI models seamlessly into enterprise applications.
• Security, Compliance Ethical AI  : Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
• Collaboration Stakeholder Engagement  : Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
• Mentorship Technical Leadership  : Guide and mentor junior engineers, fostering best practices in  AI / ML development, model fine-tuning, and software engineering  .
• Research Innovation  : Stay updated with emerging AI trends, conduct experiments with  cutting-edge architectures and fine-tuning techniques  , and drive innovation within the team.

Basic Qualifications

Preferred Qualifications

Skills Required

Pytorch, Tensorflow, MLops