Overview

Job Title: Senior AI/ML Developer

Responsibilities

• Develop, test, and optimize machine learning models across NLP, Computer Vision, and Predictive Analytics use cases.
• Assist in building and implementing transformer-based and traditional ML models.
• Support data preprocessing, feature engineering, and model evaluation tasks.
• Work on implementing APIs and integrating ML services into enterprise applications.
• Assist in implementing LLM-based solutions including prompt engineering, embeddings, and basic fine-tuning.
• Contribute to building Retrieval-Augmented Generation (RAG) pipelines.
• Support experimentation with open-source and commercial LLMs such as GPT, LLaMA, Falcon, etc.
• Participate in model deployment workflows using Docker and basic CI/CD practices.
• Assist in monitoring model performance and data drift.
• Support pipeline development for data ingestion and model retraining.
• Work with cloud environments (AWS, Azure, or GCP) for deploying and testing ML solutions.
• Support usage of cloud-native services such as S3, EC2, SageMaker, or equivalents.
• Collaborate on maintaining structured and unstructured datasets.
• Work with senior team members to translate business requirements into ML tasks.
• Communicate findings and insights through documentation and dashboards.
• Contribute to knowledge sharing and experimentation initiatives.

Qualifications

• Programming:Strong proficiency in Python.
• ML Frameworks:Experience with PyTorch / TensorFlow / scikit-learn.
• LLM Basics:Understanding of prompt engineering, embeddings, or RAG concepts.
• Data Handling:Experience with Pandas, NumPy, and basic SQL.
• Deployment Basics:Familiarity with Docker and APIs.
• Cloud:Exposure to AWS / Azure / GCP environments.
• Analytical Thinking:Ability to work on problem statements with structured guidance.
• Exposure to LangChain / LlamaIndex or similar orchestration frameworks.
• Understanding of vector databases (FAISS, Pinecone, etc.).
• Basic knowledge of MLOps tools like MLflow.
• Experience with REST APIs or web app integration.
• Someone eager to learn and grow in applied AI/ML.
• Hands-on contributors who enjoy solving real-world problems.
• Team players comfortable working in fast-paced environments.
• Candidates seeking purely research-oriented roles without application focus.
• Individuals not interested in hands-on development.
• Candidates looking for fully remote opportunities.