Ai Ml Engineer

Job Description AI/ML Engineer

Position: AI/ML Engineer

Experience: 2+ years

Role Overview

We are looking for a AI/ML Engineer with experience in Python, Machine Learning, Generative AI, LLM applications, and Conversational AI. The candidate will be part of a team responsible for designing, developing, and deploying AI-driven solutions

Key Responsibilities

• Design and develop AI/ML solutions using Python.
• Build and integrate Generative AI and LLM-based applications using models such as OpenAI, Claude, Gemini, or similar.
• Develop RAG (Retrieval-Augmented Generation) and NLP-based solutions.
• Build and integrate chatbots and voicebots using platforms such as Kore.ai, Dialogflow, or similar technologies.
• Develop REST APIs and backend services using FastAPI/Flask.
• Work with NLP techniques including embeddings, semantic search, text classification, and similarity-based retrieval.
• Develop and integrate AI solutions with databases, third-party APIs, and enterprise applications.
• Perform data preprocessing, EDA, model development, evaluation, and optimization.
• Deploy and maintain AI/ML applications on Google Cloud Platform (GCP) or other cloud platforms.
• Implement CI/CD and MLOps practices for reliable model and application deployment.
• Contribute to technical design, documentation, testing, and troubleshooting.

Required Skills

• Strong proficiency in Python.
• Hands-on experience with Machine Learning and Generative AI.
• Experience working with LLMs and APIs such as OpenAI, Claude, Gemini, etc.
• Knowledge of RAG, embeddings, NLP, and semantic search.
• Experience with FastAPI/Flask and REST API development.
• Strong knowledge of SQL/MySQL and data handling using Pandas/NumPy.
• Experience with ML libraries such as PyTorch, Scikit-learn, Transformers, or similar.
• Experience with Chatbot/Voicebot development is preferred.
• Knowledge of GCP or other cloud platforms.
• Understanding of MLOps, CI/CD, deployment, and monitoring.
• Good problem-solving and communication skills.

Good to Have

• Experience with Google Dialogflow.
• Experience with OpenAI GPT models and other LLM providers.
• Experience building production-grade AI agents or conversational AI solutions.

Key Technologies

Python | AI/ML | Generative AI | LLM | RAG | NLP | OpenAI | Claude | Gemini | FastAPI | PyTorch |

Transformers | Scikit-learn | Pandas | NumPy | SQL/MySQL | GCP | CI/CD | MLOps | Conversational AI |

Chatbots | Voicebots