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AI Summary
Develop and deploy ML models and LLM-based solutions to predict product outcomes based on specific attributes. Transform an existing AI agent into a data-driven prediction engine and integrate LLM capabilities for improved reasoning.
ML / LLM Engineer (3+ Years)
Remote | 2:30 PM – 11:30 PM IST
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.
Role Overview
We are hiring an ML / LLM Engineer to build an intelligent system that predicts whether a product will be a winner or non-winner based on attributes like color, fabric, sleeve type, and other inputs. You will work on transforming an existing AI/agent system into a data-driven prediction engine.
Key Responsibilities
- Develop and deploy ML models and LLM-based solutions for product outcome prediction
- Build workflows where users input product details and receive predictive insights
- Enhance an existing AI agent into a decision-making/prediction system
- Work with product and assortment data for feature engineering and modeling
- Integrate LLM capabilities to improve reasoning and contextual understanding
- Continuously evaluate and improve model performance
Required Skills
- 3+ years of experience in Machine Learning / AI Engineering
- Strong knowledge of predictive modeling and classification techniques
- Hands-on experience with LLMs (OpenAI, Llama, etc.)
- Proficiency in Python and ML libraries (Scikit-learn, PyTorch, TensorFlow)
- Experience working with structured data, model evaluation, and pipelines
Good to Have
- Experience with GenAI, RAG pipelines, or prompt engineering
- Exposure to MLOps and model deployment
- Familiarity with cloud platforms (Azure / AWS)
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
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