Bangalore, Karnataka, India
Information Technology
Full-Time
NoBrokerHood
Overview
Key Responsibilities
- Develop Conversational AI Models : Build and refine NLP and LLM models to enhance ConvoZen.AI's ability to derive insights from customer conversations using modern frameworks.
- Fine-Tuning LLMs : Engage in fine-tuning large language models (LLMs) to improve their performance on specific tasks, leveraging techniques like transfer learning and domain adaptation.
- Deploy and Monitor Models : Implement and maintain NLP models in production environments, ensuring they perform reliably and efficiently. Utilize deployment tools and best practices to streamline this process.
- Collaborate with Data Science & ML Team : Work closely with the team to tackle large-scale data problems and ensure solutions are production-ready.
- End-to-End AI System Development : Engage in the full development cycle of AI systems, from ETL processes to production deployment, with a focus on conversational AI.
- Consumer and Enterprise Applications : Develop applications for speech and language models that serve both consumer and enterprise needs, leveraging ConvoZen.AI.
- Model Maintenance and Enhancement : Participate in the validation, monitoring, and maintenance of existing ML models and heuristic algorithms in production.
- ML Lifecycle Management : Oversee the ML lifecycle from experimentation and analysis to modeling and productionizing relevant workloads.
- Project Planning and Execution : Plan, develop, and execute team projects focused on both research and development, with an emphasis on conversational AI.
- Infrastructure Development : Enhance our ML infrastructure, ensuring robust support for training and inference stages.
- Automation and Smart Solutions : Partner with multiple teams to develop automation engines and smart solutions, enhancing efficiency and effectiveness in sales and operations.
- Engineering background with strong mathematical and programming skills in C++ and Python.
- Minimum of 2 years of relevant experience in data science or machine learning.
- Proven track record in Analytics, Machine Learning, and Computer Sciences.
- Experience in building and deploying large-scale ML models, particularly in NLP, ASR & Computer Vision.
- Deep understanding and passion for NLP, LLMs, and conversational AI technologies.
- Proficiency in Python, databases, and Linux environments.
- Expertise in modern ML frameworks and tools like PyTorch, vLLM, TensorFlow, and Scikit-Learn.
- Strong analytical and quantitative skills, with the ability to communicate results effectively across teams.
- Ability to thrive in a fast-paced, deadline-driven environment.
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