AIML Developer

Job Title: AI/ML Developer

Location: Ahmedabad
Department: Technical

Job Summary

We are seeking a passionate and skilled AI/ML Developer with 3 years of relevant experience in artificial intelligence and machine learning. The ideal candidate will have hands-on expertise in building intelligent systems handling large datasets and deploying scalable AI solutions. You will play a key role in designing developing and optimizing machine learning models to solve real-world business problems.

Key Responsibilities

• Design develop and deploy machine learning models aligned with business objectives.
• Build and fine-tune Generative AI models (LLMs diffusion models VAEs) using tools such as Hugging Face LangChain and OpenAI.
• Collect clean and preprocess data to ensure high-quality model inputs.
• Train evaluate and optimize models for improved accuracy and efficiency.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Perform data analysis visualization and feature engineering.
• Design and implement Multi-Agent Systems (MAS) for intelligent automation and decision-making.
• Develop and manage agentic workflows using tools like Agno CrewAI or LangGraph.
• Ensure scalability reliability and performance of deployed models.
• Monitor model performance and implement updates or retraining as needed.
• Stay updated with the latest advancements in AI/ML and experiment with emerging technologies.

Requirements

• Strong programming skills in Python.
• Hands-on experience with ML libraries such as TensorFlow PyTorch Scikit-learn and Keras.
• Experience with vector databases (Pinecone Weaviate Chroma) and Retrieval-Augmented Generation (RAG) systems.
• Solid understanding of ML concepts: classification regression clustering and deep learning.
• Knowledge of knowledge graphs semantic search or symbolic reasoning.
• Proficiency in data manipulation and analysis using Pandas and NumPy.
• Experience in deploying models via REST APIs using Flask or FastAPI.
• Familiarity with cloud platforms such as AWS Google Cloud or Azure.
• Working knowledge of Git for version control.
• Experience in NLP computer vision or predictive analytics.
• Exposure to MLOps tools like MLflow Kubeflow or Airflow.
• Basic understanding of big data technologies like Apache Spark or Hadoop.
• Knowledge of data pipelines and ETL processes.

What We Offer

• Opportunity to work on real-world impactful projects.
• Exposure to client interactions and end-to-end solution development.
• A collaborative learning-focused work environment.
• 5-day work week with flexible timings.

Required Skills:

PythonTensorflowPyTorchKerasMachine LearningDeep LearningGenerative AI (LLMs)Diffusion ModelsVAEsHugging FaceLangChainOpen Model TrainingModel OptimizationModel DeploymentRAG SystemFlaskFastAPIRest APIs