8 Question Answering Jobs

You will be joining Star Software, an AI-powered automation company with a focus on revolutionizing document processing and workflows. The company specializes in processing complex documents and reports to facilitate precise data extraction. Star Software's technology stack is driven by AI, OCR, and RPA, ensuring accuracy, efficiency, and seamless integration into existing workflows. Your role will involve working with the following tech stacks and key skills & tools: - **Language Skills**: - Strong proficiency in Python - Familiarity with libraries such as Transformers, OpenAI SDK, and Hugging Face Datasets - **Machine Learning/Deep Learning**: - Proficiency in PyTorch and TensorFlow (optional) - Knowledge of fine-tuning methods like LoRA, PEFT, and QLoRA - Understanding of Transformers, Attention, and Tokenization - **NLP Techniques**: - Experience with Named Entity Recognition (NER) - Proficiency in Question Answering, Summarization, and Text Classification - **Model Handling**: - Familiarity with OpenAI models (GPT-4, GPT-3.5) and Hugging Face models (LLaMA, Mistral, Falcon, etc.) - Ability to work with custom-trained models - **Tools & Infrastructure**: - Experience with Weights & Biases, MLflow for experiment tracking - Proficiency in Docker, Kubernetes for containerization - Knowledge of Streamlit/Gradio for demos, FastAPI/Flask for APIs, and Git, CI/CD pipelines Preferred qualifications for this role include: - Graduation from Tier 1 colleges - Minimum of two years of experience in building quality applications - Strong working knowledge of Web technologies and APIs - Experience in SAAS product development would be a plus - Previous experience in IDP (Intelligent Document Processing) is desirable If you are passionate about leveraging AI to streamline document processing and are proficient in the mentioned tech stacks and skills, we encourage you to apply for this exciting opportunity at Star Software.,

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibilities will include supporting the full lifecycle of AI project delivery, fine-tuning Large Language Models (LLMs) for specific business needs, and developing scalable pipelines for AI model deployment. You will also have the opportunity to collaborate with internal teams and external stakeholders, particularly in the pharma space, to understand business requirements and contribute to the development of tailored AI-powered systems. Additionally, you will actively participate in a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers. To be successful in this role, you should have 7-9 years of experience in NLP, AI/ML, or data science, with a proven track record of delivering production-grade NLP & GenAI solutions. You should have deep expertise in LLMs, transformer architectures, and fine-tuning techniques, as well as strong knowledge of NLP pipelines, text preprocessing, embeddings, and named entity recognition. Experience with Agentic AI systems, LLM observability tools, and AI safety guardrails is also essential. Proficiency in Python and backend development, familiarity with MLOps and cloud platforms, and prior experience in regulated industries like life sciences or pharma are all advantageous. A problem-solving mindset, the ability to work independently, drive innovation, and mentor junior engineers are key qualities we are looking for in candidates. The compensation package for this role will be commensurate with your expertise and experience, and you will also have access to additional benefits such as health insurance, a virtual wellness platform, and knowledge communities.,

Join the leader in entertainment innovation and help design the future at Dolby, where science meets art and high tech goes beyond computer code. As a member of the Dolby team, you will witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks top talent. The company is large enough to provide all necessary resources yet small enough for you to make a significant difference and receive recognition for your contributions. Enjoy a collegial culture, stimulating projects, competitive compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work environment, schedule, and methods. Dolby's research division is seeking a researcher to join efforts in developing the next generation of AI-based multimodal technologies. The successful candidate will collaborate with Dolby's esteemed audio and vision experts to innovate multimedia analysis, processing, and rendering technologies for enhanced interactive and immersive experiences. As a part of an international team, you will explore new horizons in multimodal processing, analysis, and interactivity, responsible for conducting groundbreaking research, technology transfer, and patent application drafting. Dolby's research division is currently hiring a motivated researcher to advance multimedia technologies. An ideal candidate will possess expertise in HCI and deep learning, with the ability to stay updated with current literature, implement, and innovate. Knowledge or experience in human-computer interaction, generative models, self-supervised learning, audio, image, or text applications, as well as latent space techniques are beneficial for this role. Key Responsibilities: - Develop prototypes for multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to execute Dolby's technical strategy in AI and machine learning. - Utilize deep learning to innovate and improve applications. - Contribute to advancing the state-of-the-art and creating intellectual property. - Transfer technology to product groups and prepare patent applications. - Provide insights on recent deep learning advancements to influence research and business decisions. Requirements: - Ph.D. in computer science or related field, emphasizing deep learning with knowledge in audio, video, 3D, or text processing. - Strong publication record in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Creativity and ability to envision and develop innovative products. - Excellent communication skills.,

Join the leader in entertainment innovation and help design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the necessary resources and small enough for individuals to make a real difference and receive recognition for their work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support individuals in doing their best work, wherever, whenever, and however they prefer. Dolby's research division is currently seeking a researcher to contribute to the development of the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's renowned audio and vision experts to create new multimedia analysis, processing, and rendering technologies that will drive innovative interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The role involves conducting fundamental research, transferring technology to product groups, and preparing patent applications. The ideal candidate for this role should possess a strong background in Human-Computer Interaction (HCI) and deep learning, with both conceptual understanding and practical experience. Keeping up to date with the latest literature, implementing, and innovating are essential aspects of this position. Knowledge or experience in areas such as human-computer interaction techniques, generative models, self-supervised learning, audio, image, or text applications, and latent space exploration are beneficial. The candidate will prototype inspiring experiences combining different modalities to enhance immersion and interaction, focusing on empirical refinement of the user experience. Experience in developing real-time applications delivering multi-modal experiences and human-computer interfaces with generative AI involvement is preferred. Responsibilities: - Prototype and showcase multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to develop new solutions and improve existing applications. - Drive the state-of-the-art and contribute to intellectual property development. - Transfer technology to product groups and draft patent applications. - Provide insights to internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or related field, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record, with publications in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Ability to conceptualize new technologies and transform them into innovative products. - Creativity and strong communication skills.,

As an AIML - LLM Gen AI Engineer, your primary responsibility will be to design, develop, and implement solutions using transformer-based models for various Natural Language Processing (NLP) tasks. This includes tasks such as text generation, summarization, question answering, classification, and translation. You will be working extensively with transformer models like GPT, BERT, T5, RoBERTa, and similar architectures. Your deep understanding of model architectures, attention mechanisms, and self-attention layers will be crucial in effectively utilizing Large Language Models (LLMs) to generate human-like text. You will lead efforts in fine-tuning pre-trained LLMs and other transformer models on domain-specific datasets to optimize performance for specialized NLP tasks. In your role, you will apply your knowledge of attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. It will be essential to address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can impact LLM performance and output quality. You will craft clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Additionally, you will implement and experiment with zero-shot, few-shot, and many-shot learning techniques to maximize model performance without extensive retraining. Your iterative approach to prompt engineering strategies will involve refining outputs, rigorously testing model performance, and ensuring consistent and high-quality results. You will also be responsible for creating prompt templates for repetitive tasks that are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting will enable you to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Your contribution will span the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. **Required Skills & Qualifications:** - A minimum of 8 years of experience working with transformer-based models and NLP tasks, focusing on text generation, summarization, question answering, classification, and similar applications. - Proficiency in transformer models such as GPT, BERT, T5, RoBERTa, and foundational models. - Strong familiarity with model architectures, attention mechanisms, and self-attention layers for generating human-like text. - Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. - Knowledge of attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs affecting LLM performance. - Ability to craft clear, concise, and contextually relevant prompts for LLMs. - Experience in zero-shot, few-shot, and many-shot learning techniques. - Proficiency in Python and NLP libraries like Hugging Face Transformers, SpaCy, NLTK. - Solid experience in training, fine-tuning, and deploying ML models in an NLP context. - Strong problem-solving skills and analytical mindset. - Excellent communication and collaboration abilities for remote or hybrid work environments. - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field. This role requires a combination of technical expertise in AI/ML, NLP, and transformer models, along with strong problem-solving and communication skills to achieve effective results in the field.,

As a Decision Scientist - Senior at FedEx, you will work with cross-functional and cross-regional teams to analyze data, monitor and forecast trends, create strategies, provide requirements to data scientists and technology teams, and communicate with global stakeholders to ensure the best possible customer experience. Joining the Customer Experience Analytics team as a skilled and passionate GenAI Prompt Engineer, you will focus on designing inputs for AI tools that generate optimal outputs and enhance customer experience through data-driven insights and innovative product development. Your main responsibilities will include designing and developing prompts for various applications, collaborating with cross-functional teams to understand user needs, analyzing and iterating on prompts based on performance metrics and user feedback, conducting experiments to test new prompting techniques, staying updated on advancements in natural language processing (NLP) and AI, documenting and communicating work clearly, providing actionable insights to business and leadership, enhancing virtual assistant interactions with customers, improving turnaround time on report development, and contributing to FedEx's digital adoption strategy. To qualify for this role, you should have a Bachelor's degree in computer science, linguistics, writing, or a related field, proficiency in programming languages like Python and experience with relevant libraries and frameworks, at least 2 years of experience in prompt engineering or a related role in the AI and Chatbots domain, strong analytical skills, experience with large datasets and data visualization tools, excellent communication and collaboration skills, ability to thrive in a fast-paced environment, and a minimum of 4+ years of relevant experience. FedEx values diversity, equity, and inclusion in the workforce, and is committed to providing growth opportunities for all individuals. As an equal opportunity/affirmative action employer, FedEx ensures fair treatment and a supportive work environment. The company's People-Service-Profit philosophy underscores the importance of its employees, who deliver exceptional service to customers worldwide. FedEx's culture, built on values and behaviors, has been integral to its success and growth since its inception in the early 1970s. Through a focus on innovation, quality service, and employee well-being, FedEx continues to thrive in the global marketplace.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech goes beyond computer code. As a member of the Dolby team, you'll witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks the best talent. With ample resources and a conducive environment, Dolby offers challenging projects, a collegial culture, excellent compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work in terms of location, time, and method. Dolby's research division is seeking an AI researcher to contribute to the development of the next generation of AI-based multimodal technologies. As part of Dolby's research efforts, the candidate will collaborate with Dolby's renowned audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies aimed at driving interactive and immersive experiences. Working within an international team, the senior Generative AI Researcher will explore novel horizons in multimodal analysis, processing, and generation. The responsibilities include conducting fundamental research, technology transfer to product groups, drafting patent applications, and publishing papers. The ideal candidate for this role should possess a strong background in deep learning, encompassing both conceptual understanding and practical experience. Staying updated with the latest literature and implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning are key aspects of the position. Experience or knowledge in the following areas would be beneficial: - Generative modeling for audio and video applications. - Multimodal semantic understanding and reasoning. - Multimodal representations including audio and/or video. - Multimodal AI architectures focusing on generating audio and/or video. - AI-driven enhancement, processing, and generation for audio and/or video applications. - Exposure to various audio and video applications. Collaborating closely with Dolby's Machine Perception and Reasoning team, the candidate will join a group of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. The role involves creating and implementing multimodal AI technologies to develop new experiences and prototypes. The candidate will be responsible for prototyping immersive experiences that enhance immersion and interaction, thereby refining the user experience. Key Responsibilities: - Collaborate with domain experts to execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to innovate new solutions and improve existing applications. - Drive the state-of-the-art and develop intellectual property. - Mentor interns on research problems. - Publish papers in top-tier conferences and journals. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent advancements in deep learning to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. - Experience in AI applied to audio and/or video. - Technical expertise in generative modeling for audio or video. - Strong publication record in top-tier conferences. - Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch. - Ability to innovate new technologies and translate them into products. - Strong communication skills.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,