Senior Engineer - AI/ML

Roles and Responsibilities-

• Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
• Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
• Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs.
• Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization.
• Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production.
• Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.
• Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

‍

Qualifications Required

• Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus.‍
• Experience: 4 - 8 Years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models.

‍

Skills and Experience Required

• Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation
• Machine Learning: Algorithms, Deep Learning, Neural Networks
• Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow
• MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)‍
• Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

Why you'll love working with us:

• BRING YOUR PASSION AND FUN. Corporate culture woven from highly diverse perspectives and insights.  
• BALANCE WORK AND PERSONAL TIME LIKE A BOSS. Resources and flexibility to more easily integrate your work and your life.  
• BECOME A CERTIFIED SMARTY PANTS. Ongoing training and development opportunities for even the most insatiable learner.  
• START-UP SPIRIT (Good ten plus years, yet we maintain it) 
• FLEXIBLE WORKING HOURS