Tech Lead SSE SE AI Language Technologies Google CloudLocationTL Onsite SSE SE OffshoreAbout the RoleTL SSE SE with deep expertise in Google Cloud AI technologies Natural Language Processing NLP and Machine Learning systems The ideal candidate will have hands on experience with Google CCAI Vertex AI Language Translation Text to Speech TSS Speech to Text STT OCR and Transformer based models LLMs TPUs GNMTKey ResponsibilitiesDesign develop and deploy AI powered conversational and translation systems using Google CCAI Vertex AI and related tools and integrating advanced language solutions into enterprise grade systemsBuild and optimize language processing pipelines utilizing Google Translation API GNMT and Transformer based architecturesIntegrate Speech to Text STT Text to Speech TSS and OCR capabilities to enable multimodal AI solutionsDevelop and fine tune LLMs and custom machine learning models using Vertex AI TPUs and open source frameworks eg Hugging Face Transformers PyTorch TensorFlowCollaborate with cross functional teams to implement AI driven automation chatbots and virtual agent solutions leveraging Google CCAIEnsure model performance scalability and compliance with data security and privacy standardsContinuously explore emerging AI ML trends and contribute to the roadmap for language and vision AI capabilitiesRequired QualificationsBachelors or Masters degree in Computer Science AI ML Data Science or related field3 to 6 years of experience in software engineering with a focus on AI ML and NLPStrong hands on experience with Google Cloud AI StackContact Center AI CCAIVertex AI training deployment pipelines endpointsGoogle Translation STT TTS APIsProficiency in Python JavaScript TypeScript or JavaPractical experience with Transformers Large Language Models LLMs and TPU accelerationFamiliarity with OCR frameworks eg Google Vision API Tesseract or similarStrong understanding of NLP pipelines sequence to sequence models and GNMT principlesExperience working with REST APIs microservices and cloud native architecturesPreferred QualificationsGoogle Cloud certifications such as Professional ML Engineer Cloud Architect or Data EngineerExperience with Dialogflow CX ES Google Speech AI or custom multilingual chatbot designKnowledge of data annotation translation memory and custom language model training.
TL SSE SE with deep expertise in Google Cloud AI technologies Natural Language Processing NLP and Machine Learning systems The ideal candidate will have hands on experience with Google CCAI Vertex AI Language Translation Text to Speech TSS Speech to Text STT OCR and Transformer based models LLMs TPUs GNMT
Key Responsibilities
Design develop and deploy AI powered conversational and translation systems using Google CCAI Vertex AI and related tools and integrating advanced language solutions into enterprise grade systems
Build and optimize language processing pipelines utilizing Google Translation API GNMT and Transformer based architectures
Integrate Speech to Text STT Text to Speech TSS and OCR capabilities to enable multimodal AI solutions
Develop and fine tune LLMs and custom machine learning models using Vertex AI TPUs and open source frameworks eg Hugging Face Transformers PyTorch TensorFlow
Collaborate with cross functional teams to implement AI driven automation chatbots and virtual agent solutions leveraging Google CCAI
Ensure model performance scalability and compliance with data security and privacy standards
Continuously explore emerging AI ML trends and contribute to the roadmap for language and vision AI capabilities
Bachelors or Masters degree in Computer Science AI ML Data Science or related field
3 to 6 years of experience in software engineering with a focus on AI ML and NLP
Strong hands on experience with Google Cloud AI Stack
Contact Center AI CCAI
Vertex AI training deployment pipelines endpoints
Google Translation STT TTS APIs
Proficiency in Python JavaScript TypeScript or Java
Practical experience with Transformers Large Language Models LLMs and TPU acceleration
Familiarity with OCR frameworks eg Google Vision API Tesseract or similar Strong understanding of NLP pipelines sequence to sequence models and GNMT principles
Experience working with REST APIs microservices and cloud native architectures Preferred Qualifications
Google Cloud certifications such as Professional ML Engineer Cloud Architect or Data Engineer
Experience with Dialogflow CX ES Google Speech AI or custom multilingual chatbot design
Knowledge of data annotation translation memory and custom language model training
