AI Modeller Offline

We are looking for an AI Modeller to help us design and develop robust AI and machine learning models that solve real-world problems and enhance our product capabilities.

AI Modeller responsibilities include building, training, and validating machine learning models, collaborating with cross-functional teams, and staying up to date with the latest advancements in AI/ML. If you have a strong background in data science, experience with deep learning frameworks, and a passion for innovation, we’d like to meet you.

Ultimately, you will contribute to the creation of intelligent systems that are scalable, efficient, and impactful.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models
• Work with large datasets to extract meaningful insights and train algorithms
• Collaborate with engineers and product teams to integrate AI solutions 
• Conduct research and experiment with new modeling approaches and technologies
• Optimize models for performance, accuracy, and scalability
• Document model architecture, data pipelines, and experimental results

Requirements:

• 2+ years of experience in machine learning, data science, or AI-related fields
• Strong knowledge of Python and ML libraries
• Solid understanding of data preprocessing, feature engineering, and model evaluation
• Experience with cloud platforms  for ML model training and deployment
• Familiarity with MLOps tools and practices is a plus (e.g., MLflow, Kubeflow, Docker, Kubernetes)
• Experience in NLP, computer vision, or time series analysis is a plus

• Hands-on experience with GenAI technologies such as:

  - Large Language Models (LLMs) like GPT, Claude, LLaMA, Mistral, etc.

  - Using APIs from OpenAI, Anthropic, Cohere, or Google Vertex AI

  - Working with Hugging Face Transformers, LangChain, LlamaIndex, or RAG (retrieval-augmented generation) frameworks

  - Fine-tuning or adapting foundation models using techniques like LoRA, prompt tuning, or instruction tuning

  - Implementing embedding models and vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and similarity tasks

• Strong analytical and problem-solving skills
• Good spoken/written English