Artificial Intelligence Engineer

Job Title: Artificial Intelligence Engineer Company: TIGI HR Job Category: Machine Learning Roles & Responsibilities: This role is ideal for engineers passionate about developing scalable, production\-ready AI/ML solutions and transforming complex data into intelligent business applications. Key Responsibilities * Design, develop, and optimize enterprise\-grade AI/ML models and intelligent search solutions. * Build and enhance semantic search, vector search, and information retrieval systems. * Develop ML algorithms for search ranking, query relevance, personalization, and recommendation systems. * Implement NLP and Generative AI solutions using LLMs, embeddings, and transformer\-based architectures. * Design and implement RAG pipelines, including document processing, chunking, indexing, retrieval, and response generation. * Develop and maintain taxonomy, ontology, metadata models, and knowledge retrieval frameworks. * Collaborate with business stakeholders across Banking, Loans, Insurance, and Investments to deliver AI\-powered solutions. * Perform data analysis, feature engineering, model evaluation, and performance optimization. * Build scalable, production\-grade ML applications and integrate them with enterprise systems. * Work closely with engineering, product, and design teams to deliver end\-to\-end AI solutions. * Participate in AI/ML proof\-of\-concept initiatives and evaluate emerging technologies. * Implement engineering best practices, including Git, CI/CD, automated testing, model monitoring, and deployment. * Stay updated with advancements in Generative AI, LLMs, NLP, and Machine Learning. Candidates should have the ability to develop, deploy, and optimize AI solutions in real\-world production environments rather than having experience limited to academic projects or theoretical implementations. Work Location: Pune City, Maharashtra, India Availability: Full time

Experience: 3\+ Years Education: B.Tech / M.Tech from Tier\-1 Institutes (IITs, NITs, BITS) CTC Structure: 75% Fixed \+ 25% Variable We are looking for a talented AI / Machine Learning Engineer with strong hands\-on experience in Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval\-Augmented Generation (RAG). Mandatory Skills \& Qualifications 1\. Experience * Minimum 3\+ years of hands\-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI. * Strong proficiency in Python and SQL. * Hands\-on experience in data analysis, feature engineering, model development, and production\-grade ML applications. * Experience with frameworks such as PyTorch, TensorFlow, Keras, Scikit\-learn, or equivalent. * Hands\-on experience in NLP, text classification, embeddings, semantic search, document understanding, or recommendation systems. * Practical experience working with foundation models such as GPT, Llama, Mistral, Claude, Gemini, Phi, or equivalent. * Experience with Git, CI/CD pipelines, production environments, and scalable AI/ML applications. 8\. Educational Qualification 10\. Compensation Structure * CTC breakup: 75% Fixed \+ 25% Variable, as per company policy. * MLOps / LLMOps: MLflow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or similar frameworks. * Vector Databases: Pinecone, Weaviate, Milvus, Chroma, FAISS, Qdrant, or equivalent. * Big Data Technologies: Apache Spark, PySpark, distributed ML pipelines, and large\-scale data processing. * Cloud \& Deployment: Docker, Kubernetes, AWS, Microsoft Azure, GCP, and cloud\-native AI deployments. * AI Architecture: Experience designing scalable ML architectures and real\-time AI/ML systems. * Industry Background: Experience in AI\-first startups, FinTech, Banking, Lending, Fraud Analytics, Risk Analytics, SaaS, or product\-based technology companies. We are looking for an engineering professional who combines strong fundamentals in Machine Learning and Deep Learning with practical experience in Generative AI, LLMs, and RAG\-based applications. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering, NLP Salary: Not disclosed