16 Sentence Transformers Jobs

As an AI Engineer at our company, you will be responsible for designing, developing, and deploying advanced AI/ML solutions for our job search and resume intelligence platform. Your role will involve working on resume parsing, skill inference, job-function classification, personalized recommendations, and career guidance features, integrating with large-scale Spring Boot microservices and web/mobile applications. Key Responsibilities: - Develop AI-powered resume parsing systems for structured data extraction from PDFs, DOCX, and images. - Implement skills and job-function inference models using LLMs, transformers, or domain-specific embeddings. - Build AI-driven recommendation engines for jo...

Job Description: ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM GenAI & Agentic Tools: Lang Chain, Llama Index, Haystack, Crew AI, Autogen LLMs & APIs: Hugging Face, OpenAI, Azure OpenAI, Cohere, Anthropic Claude, Gemini Embeddings & Vectors: Sentence Transformers, FAISS, Pinecone, Azure Cosmos DB (Vector Search) Infrastructure Tools: Docker, Kubernetes, MLflow, Fast API/Flask, Git Azure Machine Learning, Azure Functions, AKS, Blob Storage, Cosmos DB CI/CD for ML Experience integrating LLMs into enterprise workflows via APIs or agent frameworks. Prior experience in data engineering is an add-on. Roles and Responsibilities: Work with the team to build and create an AI pra...

Job Description: We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services. As part of our ML/AI team, you'll own the full lifecycle of model development from data preparation and fine-tuning to inference optimization and deployment in production environments. Responsibilities: Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases Build scalabl...

Role Overview: As a Generative AI Engineer at our company, you will be a key member of our dynamic team, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on various tasks ranging from large language model (LLM) training and fine-tuning to developing sophisticated Natural Language Processing (NLP) solutions. If you are passionate about pushing the boundaries of artificial intelligence, we are excited to welcome you to our team. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques - Train, fine-tune, and evaluate large language models for specific use...

Role Overview: You will be joining GlobalLogic as a Generative AI Engineer, where you will play a crucial role in designing, building, and deploying cutting-edge generative models and applications. Your responsibilities will include working on large language model (LLM) training, fine-tuning, and developing sophisticated NLP solutions. If you are passionate about artificial intelligence and pushing its boundaries, this role is for you. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accurac...

We are hiring an experienced Senior ML Engineer / Applied ML Lead who can: Build ML systems from scratch Own the ML architecture end-to-end Handle NLP, embeddings, and ranking models Work with geospatial data Deploy production-grade ML Guide and mentor junior ML engineers This is a founding-level role with full ownership of ML at Zillwork. Technical: 48 years experience in Machine Learning Strong Python (NumPy, Pandas, Scikit-learn) Deep learning frameworks: PyTorch or TensorFlow NLP: transformer-based models (HuggingFace, BERT family, XLM-R, Sentence Transformers) Embeddings + semantic similarity Vector search: FAISS / Pinecone / Qdrant Ranking algorithms (learning-to-rank, similarity scori...

As a Senior ML Engineer / Applied ML Lead at Zillwork, you will be responsible for the following: - Building ML systems from scratch - Owning the ML architecture end-to-end - Handling NLP, embeddings, and ranking models - Working with geospatial data - Deploying production-grade ML - Guiding and mentoring junior ML engineers In this founding-level role, you will have full ownership of ML at Zillwork. Technical Qualifications: - 4-8 years experience in Machine Learning - Strong Python skills including NumPy, Pandas, and Scikit-learn - Proficiency in deep learning frameworks such as PyTorch or TensorFlow - Experience with NLP using transformer-based models like HuggingFace, BERT family, XLM-R,...

Role Overview: As a GenAI Engineer at Grid Dynamics, you will be responsible for developing advanced solutions using GenAI/LLM Ecosystem technologies and integrating data for enterprise applications. You will work with a highly motivated team on bleeding-edge projects and contribute to the success of enterprise companies undergoing business transformation. Key Responsibilities: - Utilize advanced Python programming skills including OOP and async concepts - Implement REST API frameworks such as Flask and FastAPI - Demonstrate strong experience with Microsoft Azure services like App Services, Azure Functions, Blob Storage, and Cosmos DB - Familiarity with GenAI/LLM Ecosystem components like La...

Job Description: We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services. As part of our ML/AI team, you'll own the full lifecycle of model development from data preparation and fine-tuning to inference optimization and deployment in production environments. Responsibilities: Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases Build scalabl...

**Job Description:** **Role Overview:** As a Generative AI Engineer at GlobalLogic, you will play a crucial role in the forefront of AI development. Your responsibilities will include designing, building, and deploying cutting-edge generative models and applications. If you are passionate about pushing the boundaries of artificial intelligence, this role is for you. **Key Responsibilities:** - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy. - Develop and integrate Retrieval-Augmented Generation (RAG) sys...

Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Must have: Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Must have: Hands-on experience with GCP services for ML & data science Must have: Experience with Vector Search and Hybrid Search techniques Must have: Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Must have: U...

About ShyftLabs ShyftLabs is a fast-growing data product company founded in early 2020, working primarily with Fortune 500 clients. We design and deliver cutting-edge digital and data-driven solutions that help businesses accelerate growth, improve decision-making, and create measurable value through innovation. Position Overview We are seeking an experienced Data Scientist who can drive performance improvements and cost efficiencies in our products through a deep understanding of machine learning (ML) and infrastructure systems. In this role, you'll provide data-driven insights and scientific solutions that directly influence our product strategy and business outcomes. Key Responsibilities ...

Who are we Founded in 2014 by Khadim Batti and Vara Kumar, Whatfix is a leading global B2B SaaS provider and the largest pure-play enterprise digital adoption platform (DAP). Whatfix empowers companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to the deployment of software. Driving user productivity, ensuring process compliance, and improving user experience of internal and customer-facing applications. Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category, positioning itself as a comprehensive suite for GenAI-powered digital adoption, analyt...

We are looking for a highly skilled Full-Stack AI Engineer who can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise in RAG (Retrieval-Augmented Generation) systems, vector databases , and end-to-end ML pipelines . You will be working on scalable, production-grade AI solutions leveraging state-of-the-art frameworks and cloud-native technologies. Key Responsibilities Design and implement RAG-based AI applications with optimized semantic search. Build and manage vector database solutions (Pinecone, Weaviate, Qdrant, FAISS). Develop and maintain production-ready ML systems ensuring performance and scalability. Apply prompt engineering te...

About the Role We are looking for a passionate and experienced Software Engineer (E5 / E6 level) to join our Enterprise Search team, which is at the core of redefining how users discover and interact with information across Whatfix's digital adoption platform. This is a unique opportunity to solve deep information retrieval and search relevance challenges using scalable infrastructure, cutting-edge NLP, and Generative AI. As an engineer at this level, you'll be expected to operate with strong ownership, lead cross-team technical initiatives, and influence design choices that directly impact user experience and business outcomes. What You'll Do As a senior engineer, you will: Build a 0-to-1 E...

Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Must have: Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Must have: Hands-on experience with GCP services for ML & data science Must have: Experience with Vector Search and Hybrid Search techniques Must have: Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Must have: U...