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

A masters degree or PhD in Computer Science, Data Science, Engineering, or a related field
Experience: 5-8 Years
Strong programming skills in Python and Java
Good understanding of machine learning fundamentals
Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
Familiar with frontend development and frameworks like React
Basic knowledge of LLMs and transformer-based architectures is a plus .

Preferred Qualifications

Excellent problem-solving skills and an eagerness to learn in a fast-paced environment
Strong attention to detail and ability to communicate technical concepts clearly

Senior Software Engineer (AI/ML)

Senior Software Development Engineer (AI/ML)