Junior Genai Engineer

Company Description Bosch Global Software Technologies Private Limited is a 100 owned subsidiary of Robert Bosch GmbH one of the world s leading global supplier of technology and services offering end-to-end Engineering IT and Business Solutions With over 28 200 associates it s the largest software development center of Bosch outside Germany indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US Europe and the Asia Pacific region Job Summary We are seeking a talented and motivated Junior GenAI Engineer with 3-4 years of professional experience to join our innovative and growing team In this role you will play a crucial part in designing developing and deploying advanced Generative AI models with a particular focus on Text Analytics Natural Language Processing NLP and Deep Learning techniques You will work on challenging problems that directly impact our products and services contributing to the next generation of intelligent systems Roles Responsibilities Model Development Implementation Design develop and implement Generative AI models e g LLMs GANs VAEs for text for various applications leveraging your expertise in Text Analytics NLP and Deep Learning Data Preprocessing Feature Engineering Clean preprocess and analyze large textual datasets to prepare them for model training Design and implement effective feature engineering strategies for NLP tasks Experimentation Optimization Conduct rigorous experimentation to evaluate model performance identify areas for improvement and optimize model architectures and hyperparameters Research Innovation Stay abreast of the latest research and advancements in Generative AI NLP and Deep Learning Propose and explore novel approaches to solve complex problems Deployment MLOps early exposure Assist in the deployment of AI models into production environments contributing to monitoring maintenance and performance tuning Opportunity to learn and grow into MLOps practices Collaboration Communication Work closely with senior engineers data scientists product managers and other stakeholders to understand requirements share insights and deliver impactful solutions Documentation Document code models and processes thoroughly to ensure maintainability and knowledge sharing Qualifications Educational qualification Bachelor s or Master s degree in Computer Science Artificial Intelligence Machine Learning Data Science or a related quantitative field Experience 3-4 years of professional experience in roles focused on Machine Learning Deep Learning Natural Language Processing or Text Analytics Mandatory requires Skills Strong Foundation in NLP Text Analytics - Solid understanding of core NLP concepts e g tokenization stemming lemmatization parsing named entity recognition sentiment analysis Experience with various NLP techniques and libraries e g NLTK SpaCy Transformers Proven ability to work with large unstructured text datasets Deep Learning Expertise Hands-on experience with deep learning frameworks such as TensorFlow PyTorch or JAX Proficiency in implementing various neural network architectures e g CNNs RNNs LSTMs Transformers Understanding of key deep learning concepts like backpropagation optimization algorithms and regularization Generative AI Interest Exposure Strong interest in and foundational understanding of Generative AI concepts e g LLMs diffusion models GANs VAEs attention mechanisms Experience working with pre-trained language models e g BERT GPT T5 for fine-tuning and adaptation Programming Proficiency Expert-level proficiency in Python including relevant libraries for data science and machine learning NumPy Pandas Scikit-learn Problem-Solving Skills Excellent analytical and problem-solving abilities with a keen eye for detail Communication Skills Strong verbal and written communication skills with the ability to explain complex technical concepts clearly to both technical and non-technical audiences Team Player Ability to work effectively in a collaborative team environment and contribute to a positive and innovative culture Good To Have Experience with cloud platforms AWS Azure GCP for deploying and managing AI ML workloads Familiarity with MLOps principles and tools e g MLflow Kubeflow Docker Kubernetes Experience with distributed computing frameworks e g Spark Dask Contributions to open-source projects in NLP or Generative AI Published research papers or participation in Kaggle competitions related to NLP Deep Learning Experience with prompt engineering and fine-tuning large language models for specific tasks