AI Engineer

About the Role Prospect Infosystem LLP is looking for a skilled AI Engineer with 4 years of experience to join our engineering team in Hyderabad. You will be responsible for designing, building, and deploying machine learning and AI-driven solutions that solve real business problems for our clients. This role requires strong hands-on experience across the ML lifecycle — from data preparation and model development to deployment and monitoring in production.

Key Responsibilities: Design, develop, and deploy machine learning and AI models to solve business and client problems Work with large language models (LLMs) and explore use cases involving generative AI, NLP, and prompt engineering Build and maintain data pipelines for training, validation, and inference workflows Collaborate with product, engineering, and client teams to translate business requirements into AI/ML solutions Fine-tune and optimize pre-trained models for specific use cases and domains Develop and integrate APIs to expose AI/ML models to applications Perform exploratory data analysis (EDA), feature engineering, and model evaluation Deploy models into production using MLOps best practices (CI/CD for ML, model versioning, monitoring) Monitor model performance in production and retrain/improve models as needed Stay current with the latest AI/ML research, tools, and frameworks, and evaluate their applicability Document model architecture, experiments, and findings clearly for technical and non-technical stakeholders Ensure responsible AI practices including bias detection, data privacy, and model explainability Required Skills & Qualifications: 4 years of hands-on experience in AI/ML engineering, data science, or related roles Strong programming skills in Python; familiarity with R is a plus Solid experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Keras Practical experience working with LLMs (OpenAI, Anthropic, open-source models like Llama, Mistral) and prompt engineering Experience with NLP techniques and libraries (spaCy, NLTK, Hugging Face Transformers) Working knowledge of vector databases (Pinecone, Weaviate, FAISS, Chroma) and RAG (Retrieval-Augmented Generation) pipelines Experience with data processing tools: Pandas, NumPy, SQL Familiarity with cloud AI/ML services: AWS SageMaker, Azure ML, or Google Vertex AI Understanding of MLOps practices: model deployment, versioning, monitoring (MLflow, Kubeflow, or similar) Experience building and consuming REST APIs for model integration Knowledge of containerization (Docker) and basic orchestration (Kubernetes) for model deployment Strong understanding of statistics, probability, and core machine learning algorithms Experience with version control (Git) and collaborative development workflows Good analytical, problem-solving, and communication skills Preferred Qualifications: Experience with generative AI applications (chatbots, copilots, content generation, agentic workflows) Exposure to fine-tuning and training custom models (LoRA, QLoRA, transfer learning) Familiarity with MLOps platforms and CI/CD pipelines for ML systems Experience working in client-facing or services-based delivery environments Relevant certifications (AWS Certified Machine Learning, Azure AI Engineer, TensorFlow Developer, etc.) Prior experience in a product-based or AI-focused startup environment Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience) What We Offer: Competitive salary aligned with experience and market standards Exposure to cutting-edge AI/ML and Generative AI projects Comprehensive health insurance and wellness benefits Flexible working hours and hybrid work options Learning & development support for certifications, courses, and conferences Collaborative, growth-oriented work culture with opportunities to work across diverse client domains