AIML Engineer

Job description

***Dear Job Seekers,*** ***Greetings from TATA Consultancy Services!!!*** ***Hope you and your family are safe and well.*** **We are conducting face to face Interview for AIML** **If interested Kindly revert with your updated CV for further process with TCS.** **Walk-In Drive Date: 25th** **Jul 2026 (Saturday), Hyderabad.** **Registration Time: 9.00 AM 1.00 PM** **Venue- Tata Consultancy Services Ltd, Synergy Park Non-Sez,RSW-Z01- Non Sez (2nd floor), RAPTI - CMC Campus, Premises 2-1/36, Survey Number 26, Gachibowli, Hyderabad - 500032.** **Role** AIML Engineer/ Artificial Intelligence Engineer/ Machine Learning Engineer **Experience Required** 3--10 Years **Location** Hyderabad Key Responsibilities * Design, develop, and implement scalable data and AI architectures to support Machine Learning and Generative AI solutions. * Fine-tune, optimize, evaluate, and benchmark Large Language Models (LLMs) and other machine learning models. * Apply prompt engineering techniques to improve model performance across various business use cases. * Collaborate with cross-functional teams including research, development, and business stakeholders to build AI-driven solutions. * Lead the design and implementation of data pipelines, dataset creation processes, feature engineering, model deployment, and monitoring activities. * Mentor junior engineers and guide teams in adopting best practices across Data Science, Machine Learning, NLP, Deep Learning, and Generative AI initiatives. Required Technical Competencies Must-Have Skills * Strong programming expertise in **Python**. * Hands-on experience with Machine Learning and Data Science libraries, including: * Scikit-learn * NumPy * Pandas * TensorFlow * Matplotlib * Caffe * Experience working with Deep Learning frameworks such as: * PyTorch * Keras * spaCy * Strong understanding of Deep Learning architectures, including: * CNNs (Convolutional Neural Networks) * LSTMs (Long Short-Term Memory Networks) * Transformers * Self-Attention Models * Proven experience in **Computer Vision and Image Processing** projects. * Expertise in Generative AI technologies and concepts, including: * Large Language Models (LLMs) * GPT Models * Natural Language Processing (NLP) * Prompt Engineering * LangChain * Experience developing AI applications using frameworks such as **Flask** and **FastAPI**. * Strong knowledge of machine learning model development, optimization, and deployment. * Excellent communication, stakeholder management, interpersonal, and collaboration skills. Good-to-Have Skills * Experience working with **Vector Databases** and **Knowledge Graphs/Graph-Based Document Representation**. * Exposure to **MLOps** practices, CI/CD pipelines, and model lifecycle management. * Hands-on experience with cloud-based ML services such as: * AWS SageMaker * Azure Machine Learning * Google Cloud AI Services * Exposure to containerization and orchestration technologies such as: * Docker * Kubernetes Ideal Candidate Profile The ideal candidate will have strong expertise in Machine Learning, Deep Learning, Computer Vision, NLP, and Generative AI technologies. They should be capable of architecting and delivering end-to-end AI solutions, fine-tuning LLMs, implementing scalable cloud-based ML systems, and leading technical teams to successfully execute enterprise AI initiatives. Strong problem-solving, communication, and leadership skills are essential for this role.