5.0 - 9.0 years

0 Lacs

karnataka

On-site

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Must have experience with Machine Learning Model Development. Expert Level Proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionalization. Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost, and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. We recognise the significance of flexible work arrangements to provide support in a hybrid mode, you will get an environment to maintain a healthy work-life balance. Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

Posted 4 days ago

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Generative AI Engineer EaseMyTrip.com

2.0 - 6.0 years

0 Lacs

haryana

On-site

We are seeking a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com and contribute to the development of intelligent travel experiences. As a part of this role, you will be responsible for integrating and optimizing Large Language Models (LLMs) to create conversational travel agents that can provide personalized recommendations and assistance to travelers across various platforms. Your work will involve a combination of backend system integration, AI model implementation, and natural language understanding to introduce smart automation into every travel interaction. Your key responsibilities will include: - Deploying and integrating LLMs such as GPT-4, Claude, and Mistral to process natural language queries and offer tailored travel suggestions. - Designing optimized prompts and implementing Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. - Developing robust conversational workflows capable of handling complex travel scenarios like booking modifications and cancellations. - Tuning models and workflows to achieve the right balance between performance, scalability, latency, and cost in diverse environments. - Building scalable backend services using FastAPI or Django, focusing on secure and efficient API architectures. - Designing and managing data using PostgreSQL or MongoDB, and implementing ORM solutions like SQLAlchemy for seamless data interaction. - Deploying solutions on cloud platforms such as AWS, GCP, or Azure using containerized and serverless tools like Lambda and Cloud Functions. - Fine-tuning open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluating outputs using metrics like BLEU, ROUGE, or similar. - Developing NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. - Collaborating closely with AI researchers, frontend developers, and product teams to deliver impactful features rapidly and iteratively. The ideal candidate should have: - Minimum 2 years of experience in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. - Proficiency in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. - Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs in the LLM ecosystem. - Strong understanding of relational and NoSQL databases, including schema design and performance optimization. - Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. - Comfort with cloud platforms (AWS/GCP/Azure) and proficiency in building serverless or containerized deployments. - Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. - Problem-solving skills to translate business challenges into AI-centric solutions with a user-centric approach. - Strong communication skills and a collaborative mindset to work effectively with multidisciplinary teams. - Passion for staying updated on AI advancements and leveraging emerging technologies to create innovative travel experiences.,

Posted 4 days ago

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