42 Nlp Frameworks Jobs

As a Senior Python Developer with expertise in Natural Language Processing (NLP) and AI environments, your role will involve overseeing the development, implementation, and optimization of NLP modules, contributing to AI-driven projects, and collaborating with cross-functional teams. Your responsibilities will include: - Leading the design, development, and optimization of NLP algorithms and AI-driven applications. - Managing and mentoring a team of Python developers, providing technical direction & project oversight. - Developing scalable, high-performance systems for processing large-scale datasets and enabling complex machine learning and AI solutions. - Integrating NLP systems into real-...

Role Overview: As an Artificial Intelligence Engineer at our company, you will be responsible for designing, implementing, and integrating AI models into SaaS platforms. Your main focus will be on enabling automation, decision support, and customer engagement by collaborating with cross-functional teams to build scalable, cloud-native systems. It is essential to ensure responsible and ethical AI practices in all your endeavors. Key Responsibilities: - Lead and contribute to AI R&D initiatives aimed at transforming enterprise SaaS through intelligent, adaptive systems. - Design and deploy NLP chatbots, recommendation systems, and predictive analytics engines to enhance user experience. - Deve...

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will w...

About the Role Join our team contributing to open-source Python projects used by leading AI and data companies. What You'll Do Frame unique ML problems for enhancing ML capabilities of LLMs. Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. Run rapid experimentation cycles, evaluate model performance, and iterate continuously. Conduct advanced feature engineering and data preprocessing. Implement adversarial testing, model robustness checks, and bias evaluations. Fine-tune, evaluate, and deploy transformer-based models where necessary. Maintain clear documentation of datasets, experiments, and model decisions. Stay u...

Senior Machine Learning Engineer - LLM Evaluation / Task Creations [$21/hr] As an independent member of the referral program of a leading organization ( Mercor ) , we are posting to seek highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate co...

About the Company BespokeLabs is a venture-backed startup founded by seasoned IIT and Ivy League alumni. We specialize in building cutting-edge, AI-driven systems and next-gen digital products. Our mission is to harness advanced machine learning to solve real-world problems with speed, precision, and scale. About the Role We require candidates with 2-5+ years of applied ML experience or strong Kaggle competition history. Ideal applicants are proficient in Python and have experience designing realistic ML problems, evaluating dataset quality, and building reproducible ML pipelines. Familiarity with benchmarking, scoring methodologies, and ML evaluation best practices is strongly preferred. Re...

Overview Cotiviti is seeking a Data Scientist to lead the development of advanced classification and predictive systems for healthcare risk adjustment and ICD-10 code classification. This role will focus on building intelligent NLP systems that analyze clinical charts and encounters to accurately identify and classify ICD-10 codes through sophisticated pattern recognition, machine learning, and natural language processing techniques. Responsibilities Lead development of NLP-based classification systems for ICD-10 code identification from clinical charts and encounters Design and implement deep learning models using PyTorch and transformer architectures for medical text analysis Build and opt...

Job Description Are you passionate about building innovative products that transform risk management in banking Join our Credit Risk Innovation team where you'll combine product development, agile delivery, and techno-functional expertise to create next-generation solutions for credit risk analytics and portfolio management. As an Associate in the Credit Risk, you are at the centre of keeping JPMorgan Chase strong and resilient. You will help the firm grow its business in a responsible way by anticipating new and emerging risks. Using your data, analytics and AI expertise, you will modernise the approach of the team to solve real-world challenges that impact our company, customers and commun...

As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop API...

As an AI Engineer specializing in large language models (LLMs) and machine learning, your role will involve integrating LLMs, developing agentic workflows, and optimizing ML models to enhance cybersecurity investigation, prioritization, and response. You will work on building intelligent systems within a cloud security platform to improve alert prioritization, classification, and contextualization, ultimately enabling faster decision-making processes. Key Responsibilities: - Build, fine-tune, and integrate large language models (LLMs) into existing systems. - Develop agentic workflows for investigation, classification, and automated response in cybersecurity. - Apply techniques like retrieva...

About the Company: Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world's largest global brands do business Join us! About the Role An ...

As an AI Engineer at OneRx.ai, you will play a crucial role in the development of the Evidence Intelligence Platform for Doctors. You will be responsible for building AI infrastructure that aids doctors in making informed decisions quickly and efficiently. Your key responsibilities will include: - AI Model Development: - Build and optimize LLM-based systems for clinical question answering and evidence summarization. - Fine-tune retrieval-augmented systems for diagnosis reasoning. - Knowledge Engineering: - Design ontology and pipelines to integrate structured and unstructured data from medical sources. - Clinical Data Integration: - Translate diagnostic workflows and treatment pathways into ...

Job Description Role Overview As a Data Research Engineer at Forbes Advisor, you will be part of the Data Extraction Team responsible for designing, implementing, and overseeing advanced web scraping frameworks. Your primary role will involve developing methods to leverage the potential of Language Model (LLM) and Artificial Intelligence (AI) within the team. You will play a crucial role in creating and refining tools to efficiently gather precise and meaningful data from various digital platforms. Additionally, you will be responsible for constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes to ensure data availability for analysis and utilization. Key...

As a Senior AI Engineer at Teradata, you will be responsible for developing intelligent, scalable, and cloud-native AI systems. Your focus will be on building advanced agent-based architectures and runtime components that drive next-generation AI and LLM-driven solutions. **Role Overview:** You will be tasked with: - Building and optimizing AI and LLM-based agents, including runtime components for orchestration, data retrieval, and execution across distributed environments. - Leveraging Retrieval-Augmented Generation (RAG) techniques, vector stores, and NLP pipelines to enable intelligent automation and conversational capabilities. - Working with MCP servers, Python, and containerized deploy...

As a Senior Staff AI Engineer at Teradata, you will play a crucial role in developing intelligent, scalable, and cloud-native AI systems. Your responsibilities will include: - Building and optimizing AI and LLM-based agents, along with runtime components for orchestration, data retrieval, and execution across distributed environments. - Leveraging Retrieval-Augmented Generation (RAG) techniques, vector stores, and NLP pipelines to enable intelligent automation and conversational capabilities. - Working with MCP servers, Python, and containerized deployments (Docker, Kubernetes) to deliver resilient, observable, and scalable cloud-native services. - Employing AI-assisted development tools (e....

Curious about the role? What your typical day would look like? As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlo...

As an Associate in the Credit Risk Innovation team at our company, you will play a crucial role in developing next-generation solutions for credit risk analytics and portfolio management. Your responsibilities will involve leading the lifecycle of credit risk analytics products, architecting and developing platforms using Python/PySpark and modern front-end frameworks, integrating advanced risk models into banking products, and leveraging AI/ML and automation to enhance credit risk processes. Key Responsibilities: - Lead the end-to-end lifecycle of credit risk analytics products, from ideation to launch and iteration. - Architect and develop platforms using Python/PySpark, cloud technologies...

As a Senior Staff Software Engineer at Teradata, your role will involve leading the design and development of intelligent, scalable, and cloud-native AI systems. You will be responsible for architecting and implementing high-performance, scalable features using Python and modern software engineering practices. Additionally, you will design and develop LLM-powered agents and runtime orchestration systems for distributed environments. Building intelligent automation and conversational capabilities using state-of-the-art GenAI Agentic AI products will also be part of your responsibilities. You will develop and maintain MCP server integrations, ensuring robust and efficient runtime execution. Le...

As an Associate in the Credit Risk Innovation team, you play a crucial role in keeping JPMorgan Chase strong and resilient by contributing to the development of next-generation solutions for credit risk analytics and portfolio management. Your responsibilities include: - Leading the end-to-end lifecycle of credit risk analytics products, from ideation to launch and iteration. - Architecting and developing platforms using Python/PySpark, cloud technologies (AWS, Azure), and modern front-end frameworks (React, Angular). - Integrating advanced risk models and analytics into banking products and portfolios to ensure data-driven, scalable, and regulatory-compliant solutions. - Collaborating with ...

About the Role We are looking for a GenAI/ML Engineer to join our AI & Machine Learning team and drive the development of autonomous AI agents. You will work at the forefront of Generative AI, Reinforcement Learning (RL), and Large Language Models (LLMs) to design, build, and deploy intelligent, self-improving AI agents capable of reasoning, planning, and interacting dynamically. Key Responsibilities ? Develop & optimize AI agents using cutting-edge techniques in LLMs, Reinforcement Learning (RL), and Deep Learning. ? Architect and implement multi-agent systems capable of collaboration, decision-making, and task execution. ? Design, train, and fine-tune large-scale generative models (e.g., G...

Contract & Remote Opportunity Lead AI/ML/NLP Engineer Were looking for an anchor resource with 7+ years of experience in AI/ML/NLP, capable of leading teams and engaging directly with clients. Key Responsibilities: Lead AI/ML/NLP project delivery for global clients Manage production-grade AI systems and resolve live issues Collaborate with cross-functional teams (Data, DevOps, and Product) Provide technical guidance and mentorship to junior engineers Participate in client discussions and solution architecture Required Experience: 7+ years of hands-on experience in AI/ML/NLP development and deployment Strong expertise in Python, TensorFlow/ PyTorch , and NLP frameworks (Transformers, LangChai...

Contract & Remote Opportunity Lead AI/ML/NLP Engineer Were looking for an anchor resource with 7+ years of experience in AI/ML/NLP, capable of leading teams and engaging directly with clients. Key Responsibilities: Lead AI/ML/NLP project delivery for global clients Manage production-grade AI systems and resolve live issues Collaborate with cross-functional teams (Data, DevOps, and Product) Provide technical guidance and mentorship to junior engineers Participate in client discussions and solution architecture Required Experience: 7+ years of hands-on experience in AI/ML/NLP development and deployment Strong expertise in Python, TensorFlow/ PyTorch , and NLP frameworks (Transformers, LangChai...

Contract & Remote Opportunity Lead AI/ML/NLP Engineer Were looking for an anchor resource with 7+ years of experience in AI/ML/NLP, capable of leading teams and engaging directly with clients. Key Responsibilities: Lead AI/ML/NLP project delivery for global clients Manage production-grade AI systems and resolve live issues Collaborate with cross-functional teams (Data, DevOps, and Product) Provide technical guidance and mentorship to junior engineers Participate in client discussions and solution architecture Required Experience: 7+ years of hands-on experience in AI/ML/NLP development and deployment Strong expertise in Python, TensorFlow/ PyTorch , and NLP frameworks (Transformers, LangChai...

Contract & Remote Opportunity Lead AI/ML/NLP Engineer Were looking for an anchor resource with 7+ years of experience in AI/ML/NLP, capable of leading teams and engaging directly with clients. Key Responsibilities: Lead AI/ML/NLP project delivery for global clients Manage production-grade AI systems and resolve live issues Collaborate with cross-functional teams (Data, DevOps, and Product) Provide technical guidance and mentorship to junior engineers Participate in client discussions and solution architecture Required Experience: 7+ years of hands-on experience in AI/ML/NLP development and deployment Strong expertise in Python, TensorFlow/ PyTorch , and NLP frameworks (Transformers, LangChai...

Contract & Remote Opportunity - Lead AI/ML/NLP Engineer Were looking for an anchor resource with 7+ years of experience in AI/ML/NLP, capable of leading teams and engaging directly with clients. Key Responsibilities: Lead AI/ML/NLP project delivery for global clients Manage production-grade AI systems and resolve live issues Collaborate with cross-functional teams (Data, DevOps, and Product) Provide technical guidance and mentorship to junior engineers Participate in client discussions and solution architecture Required Experience: 7+ years of hands-on experience in AI/ML/NLP development and deployment Strong expertise in Python, TensorFlow/ PyTorch , and NLP frameworks (Transformers, LangCh...