32 Nlp Jobs

You are being sought after to join the Innovations Team as a Python AI/ML Developer with a strong focus on prompt engineering and LLM integrations. Your primary responsibility will be to design, develop, and deploy scalable AI/ML solutions and prototypes. Additionally, you will collaborate with cross-functional teams, evaluate emerging open-source models, and stay updated on the latest advancements in AI/ML. Key Responsibilities: - Design, develop, and deploy scalable AI/ML solutions and prototypes. - Build data pipelines, clean datasets, and engineer features for training models. - Apply deep learning, NLP, and classical ML techniques. - Integrate AI models into backend services using Pytho...

As a software engineer specializing in machine learning, natural language processing, and data science, you will play a critical role in designing and coding innovative solutions. You should have a Bachelors or Master's degree in Computer Science or a related field, along with at least 5 years of professional experience in this domain. Key Responsibilities: - Demonstrate a strong understanding and hands-on experience in artificial intelligence, and any of machine learning, deep learning, natural language processing, reinforcement learning, etc. - Apply data science principles effectively, with experience in NLP, LLMs, deep learning, and handling diverse datasets for model training. - Utilize...

Role Overview: You will be leading and mentoring a multi-skilled product team in the Global Data Insights and Analytics (GDI&A) department at Ford Motor Company. Your primary responsibility will be to guide the team through the entire lifecycle of complex analytical and AI/ML data science products, ensuring proactive, evidence-based decision-making. Key Responsibilities: - Provide expert technical guidance and mentorship to data scientists & software engineers in the product team - Lead, mentor, and develop a high-performing team of data scientists, software engineers, and ML engineers - Contribute to the development and implementation of the team's innovation strategy - Lead the problem for...

As an AI ML Solutions Architect with around 10-15 years of experience and at least 5-8 years of relevant data science, analytics, and AI/ML, your role involves developing strategies and solutions to solve problems creatively using state-of-the-art machine learning, deep learning, and GEN AI techniques. You will lead a team of data scientists to ensure timely delivery of high-quality project outcomes. Your responsibilities include identifying and addressing client needs in various domains, analyzing large and complex datasets, processing and cleansing data, and conducting exploratory data analysis (EDA) using advanced methods. Key Responsibilities: - Select features, build, and optimize class...

As a candidate for the role, your main responsibilities will include: - Designing, developing, deploying, and scaling advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities. - Applying techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments. - Implementing end-to-end ML pipelines including data preprocessing, model training, versioning, testing, and deployment using tools like MLflow, Docker, Kubernetes, and CI/CD practices. - Leveraging cu...

As a Senior Data Scientist at GenAI specializing in Machine Learning and NLP, your role involves providing data science and quantitative analytical support for regulatory reporting, medical safety analysis, and safety surveillance. You will be responsible for building and scaling AI/ML and Generative AI capabilities to support case management, safety profiling, and management metrics. Additionally, you will independently manage small to medium-sized data science projects. Key Responsibilities: - Strong hands-on experience in Machine Learning, Deep Learning, NLP, Text Mining, Time Series, and Image Processing - Hands-on experience with Generative AI and LLMs such as GPT, BERT, LLaMA, Claude, ...

Role Overview: As an Associate Director - GenAI Architect at EY, you will be responsible for leading and designing advanced AI architectures to drive strategic business outcomes. Your role will involve a deep understanding of data management, application development, AI technologies, cloud solutions, and user interface design. Working closely with cross-functional teams, you will deliver robust and scalable solutions aligned with business objectives. Key Responsibilities: - Architectural Design: Develop and oversee data architectures and application frameworks supporting AI initiatives. Ensure seamless integration of data and applications with existing systems for efficient solutions. - AI S...

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. **Role Overview:** The AI team at EY GDS caters to clients globally through EYs partner firms. As a Risk Analytics Lead, you will manage multiple Data Science engagements, interact with clients and EY stakeholders, and bring innovative ideas, methodologies, and techniques to the team. You should excel in developing high-performing individuals a...

As a Senior Data Scientist GenAI, you will be responsible for leading the design, development, and deployment of advanced AI and Generative AI solutions. Your role will involve deep hands-on expertise across the entire AI lifecycle, from data engineering and model development to production deployment and team leadership. Key Responsibilities: - Lead end-to-end GenAI solution development from data preprocessing to production deployment - Design and implement LLM, VLM, RAG, and Agentic AI systems - Build and optimize ML/DL models using modern and core techniques - Apply NLP, Transformers, and prompt engineering for enterprise use cases - Deploy scalable AI solutions using FastAPI/Flask with cl...

As an AI Systems Developer at our company, your role involves developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will be working on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your responsibilities include implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines. Additionally, you will be building AI solutions across various domains like NLP, computer vision, deep learning, and other AI applications. It is crucial to utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. Working with to...

As a Senior Salesforce Solution Architect at NTT DATA, you will play a crucial role in designing and implementing Agentforce solutions tailored to the unique needs of the sector. You will work closely with stakeholders to understand business requirements, design scalable and efficient Salesforce architectures, and lead the implementation of complex Agentforce projects. **Job Duties and Responsibilities:** - Coordinate with business stakeholders to identify business requirements and translate them into scalable Salesforce solutions - Collaborate with colleagues and customers to create prototypes and proofs of concept as a means of eliciting and defining requirements - Understand and articulat...

As an AI Developer at S&P Global, you will be responsible for designing, developing, and deploying production-ready AI applications for global financial markets. You will collaborate with experienced technologists to build intelligent platforms using cutting-edge Generative AI and NLP technologies, while accelerating your career in a fast-paced, innovation-driven environment. Key Responsibilities: - Design, develop, and deploy production-ready AI applications using LLMs, RAG architectures, and modern ML frameworks for internal and external clients. - Partner with product managers, QA engineers, and data platform teams to deliver scalable, high-quality AI solutions that directly impact busine...

As an AI Lead Developer, you will play a crucial role in spearheading AI projects for international clients, leading a team of developers, collaborating with stakeholders, and driving innovative AI initiatives that deliver real business value. Key Responsibilities: - Lead end-to-end development of AI projects, from conceptualization to deployment, ensuring alignment with project goals and industry best practices. - Collaborate with international clients to understand their business needs and develop effective AI solutions. - Architect scalable and robust AI models and systems, providing technical leadership and mentorship to the development team. - Maintain high code quality standards, docum...

As a GenAI Developer, your role involves designing and developing GenAI applications using Python. You will be responsible for implementing front-end solutions utilizing Angular or React frameworks and applying NLP techniques to enhance application functionalities. Your tasks will also include optimizing machine learning models for performance and scalability, establishing MLOps practices, and creating APIs for seamless functionality between applications. Key Responsibilities: - Design and develop GenAI applications using Python. - Implement front-end solutions with Angular or React frameworks. - Apply NLP techniques to enhance application functionalities. - Optimize machine learning models ...

As a Data Science Senior Analyst in this role, you will be required to apply your in-depth disciplinary knowledge to contribute to the development of new techniques and processes. Your responsibilities will include: - Conducting strategic data analysis to identify insights, implications, and make strategic recommendations - Developing data displays that clearly communicate complex analysis - Mining and analyzing data from various banking platforms to drive optimization and improve data quality - Building machine learning models (Random Forest, LightGBM, etc.) across multiple use cases - Performing exploratory data analysis to support hypotheses and applying different feature engineering and ...

As a Machine Learning Developer at Atos in Chennai, you will be responsible for designing, developing, and deploying machine learning models. Your role will involve collaborating with cross-functional teams, performing data preprocessing, and ensuring the scalability and reliability of machine learning systems. Additionally, you will stay updated on the latest advancements in machine learning and provide training and support on machine learning technologies. Key Responsibilities: - Design and develop machine learning models and algorithms. - Implement and optimize machine learning pipelines and workflows. - Collaborate with cross-functional teams to integrate machine learning solutions. - Pe...

Role Overview: You will be joining the Strategy and Enterprise Analytics Team, which provides insights and decision support tools to various business partners in sustainability and electric vehicles at Ford. Your main focus will be to deliver value through critical thinking, AI/ML, big data analytics, and optimization techniques on Google Cloud Platform (GCP). Your role will involve leveraging advanced analytics and domain knowledge to develop analytics models, decision-support tools, and services aimed at increasing profit, supporting strategic initiatives for electrification, and designing solutions for holistic decision-making at the enterprise level. Key Responsibilities: - Lead a team o...

Roles and Responsibilities Design, develop, test, and deploy scalable and efficient software applications using Python. Collaborate with cross-functional teams to identify requirements and deliver high-quality solutions. Develop expertise in machine learning algorithms and implement them using popular libraries such as scikit-learn or TensorFlow.

As a Data Scientist at our company, you will lead data-driven initiatives, build advanced models, and provide actionable insights to support strategic decision-making. Your expertise in Machine Learning, Deep Learning, NLP, and Python will be crucial in guiding junior team members and managing end-to-end data science projects. Key Responsibilities: - Formulate, propose, and manage data-driven projects aligned with business objectives. - Collect, clean, and prepare data from multiple sources for analysis and modeling. - Build, evaluate, and optimize machine learning, deep learning, and NLP models. - Ensure model robustness through cross-validation and scalability checks. - Produce clear non-t...

Role Overview: You will be part of Crunchyroll's growing AI/ML team, contributing to the development and deployment of ML solutions to support millions of anime fans worldwide. As a key member, you will lead and mentor a team of data scientists, define AI/ML initiatives, establish best practices, collaborate with various teams, and ensure responsible AI/ML development. Key Responsibilities: - Lead and mentor a team of data scientists focused on developing and deploying ML solutions such as GNNs, LLM-based applications, and fraud detection models. - Define and drive the roadmap for AI/ML initiatives across Crunchyrolls product and platform ecosystem. - Guide the development of robust ML pipel...

As a Senior Data Scientist at this company, your role will involve providing data science and quantitative analytical support for regulatory reporting, medical safety analysis, and safety surveillance. You will be responsible for building and scaling AI / ML and Generative AI capabilities to support case management, safety profiling, and management metrics. Additionally, you will independently manage small to medium-sized data science projects. Key Responsibilities: - Strong hands-on experience in Machine Learning, Deep Learning, NLP, Text Mining, Time Series, and Image Processing - Utilize Generative AI and LLMs (GPT, BERT, LLaMA, Claude, Mistral) for various tasks - Apply Agentic AI and LL...

As a candidate with a strong passion for Generative AI and Natural Language Processing (NLP), you have the opportunity to join a team that is working on cutting-edge AI solutions using state-of-the-art technologies such as transformers, text generation, and sentiment analysis. Your role will involve building and fine-tuning Generative AI models, specifically focusing on NLP tasks. This is a fantastic opportunity for you to grow alongside a team of experts, tackle real-world challenges, and contribute to advancing the field of AI. Key Responsibilities: - Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER...

Role Overview: You will be working as a Data Scientist for Quick Heal, focusing on applying Generative AI, NLP, and machine learning to enhance detection, intelligence, and automation capabilities across multiple cybersecurity products. This role involves a combination of applied research, experimentation, and hands-on engineering to bring ideas from prototype to production in an enterprise product environment. You will collaborate closely with product, engineering, and security research teams to solve security problems involving large-scale, noisy, and adversarial data. Key Responsibilities: - Design and implement GenAI and NLP solutions for various cybersecurity products and use cases - Bu...

As an Associate Lead Data Scientist, you will have the exciting opportunity to work with a dynamic team of researchers, data scientists, and developers. Your primary focus will be on developing and optimizing cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Here is a breakdown of your responsibilities: Key Responsibilities: - Develop, optimize, and lead ML, NLP, Deep Learning, and Generative AI model/projects. - Research and implement state-of-the-art algorithms for supervised and unsupervised learning. - Handle large-scale datasets in distributed environments. - Apply the best ML approaches based on an understandin...