1693 Nlp Jobs

• Proficiency with Python (Pandas, NumPy), SQL & Java • Experience with LLMs, Lang Chain, & Generative AI technologies • Familiarity with ML frameworks (TensorFlow, PyTorch) & data engineering tools (Spark, Kafka) • Build ML, NLP & recommender models Required Candidate profile • Understanding of key data engineering concepts like data lakes, columnar formats, ETL tools, & BI tools • ML, NLP, Recommender system, personalization, Segmentation, microservice architecture & API

As an AI Engineer at EY, you will have the opportunity to design, develop, and implement artificial intelligence solutions integrated with the Guidewire Insurance Suite platform. Your role will involve leveraging AI technologies to enhance insurance operations, automate processes, and deliver innovative solutions for underwriting, claims, and policy management. **Key Responsibilities** - Develop and implement AI models and machine learning algorithms that integrate with Guidewire InsuranceSuite components (PolicyCenter, ClaimCenter, BillingCenter) - Collaborate with business stakeholders to understand requirements and translate them into AI-powered solutions - Design and develop intelligent automation workflows using Guidewire's integration capabilities - Create predictive models for risk assessment, fraud detection, and claims processing - Implement natural language processing solutions for document analysis and customer communications - Develop and maintain data pipelines for model training and deployment - Ensure AI solutions comply with insurance industry regulations and standards - Participate in code reviews and contribute to technical documentation - Stay current with emerging AI technologies and insurance industry trends **Required Qualifications** - BE/MCA/BTech required - 3+ years of experience in AI/ML development with production-level implementation - Experience with Guidewire InsuranceSuite or similar insurance software platforms - Proficiency in programming languages such as Java, Python, and/or Gosu - Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) - Experience with NLP, computer vision, or other AI specializations - Familiarity with cloud-based AI services (AWS, Azure, GCP) - Understanding of data structures, algorithms, and software design patterns - Knowledge of insurance business processes (underwriting, claims, policy administration) **Preferred Qualifications** - Guidewire certification or demonstrated project experience - Insurance industry experience or domain knowledge - Experience with insurance data modelling and analytics - Knowledge of insurance regulatory requirements related to AI implementation - Experience with CI/CD pipelines and DevOps practices - Contributions to open-source AI projects **Additional Company Details** EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams in over 150 countries, EY utilizes data and technology to provide assurance and help clients grow, transform, and operate across various sectors including assurance, consulting, law, strategy, tax, and transactions. EY teams are committed to asking better questions to find new answers for the complex issues facing the world today.,

As a Generative AI Developer, your role will involve designing, building, and deploying solutions powered by Large Language Models (LLMs), multimodal AI, and prompt engineering. You will collaborate closely with product and engineering teams to integrate GenAI capabilities into real-world applications such as chatbots, copilots, content generation, and intelligent automation. Key Responsibilities: - AI/ML Development: - Fine-tune and optimize LLMs (GPT, LLaMA, Claude, etc.) for specific business use cases. - Build and deploy GenAI-powered applications like chatbots, copilots, summarization, Q&A systems, and generative content. - Experiment with multimodal AI involving text, image, audio, and video. - Prompt Engineering & Orchestration: - Design effective prompts and workflows to maximize model performance. - Work with frameworks like LangChain, LlamaIndex, and Haystack for retrieval-augmented generation (RAG). - Backend & Integration: - Develop APIs and services to integrate GenAI models into existing platforms. - Connect AI with structured and unstructured data sources. - Cloud & Deployment: - Deploy models on AWS, Azure, or GCP (SageMaker, Vertex AI, Azure OpenAI). - Implement scalable and cost-efficient inference pipelines. - MLOps & Performance: - Monitor AI models in production including latency, accuracy, and hallucination rates. - Implement continuous training, evaluation, and improvement workflows. Required Skills & Qualifications: - Strong programming skills in Python (Node.js/Java is a plus). - Hands-on experience with GenAI/LLMs (OpenAI, Anthropic, Hugging Face, Cohere, Stability AI). - Familiarity with LangChain, LlamaIndex, and RAG pipelines. - Knowledge of NLP, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS). - Experience with cloud platforms (AWS, Azure, GCP) and deployment of ML models. - Understanding of prompt design, fine-tuning, and model evaluation. - Solid grasp of APIs, microservices, and REST/GraphQL integrations. Preferred: - Experience with multimodal models (text-to-image, speech-to-text, etc.). - Exposure to containerization and orchestration (Docker, Kubernetes). - Knowledge of data privacy, security, and compliance in AI systems. - Prior work in AI-driven SaaS products. In this role, you will have the opportunity to contribute to cutting-edge projects in the field of Generative AI. If you have experience deploying applications or AI models on cloud platforms, familiarity with AI/ML frameworks, and working with CDN platforms for scaling applications, we encourage you to apply for this full-time position.,

As an App Automation Eng New Associate at Accenture, you will be part of the Technology for Operations team, acting as a trusted advisor and partner to Accenture Operations. Your role involves providing innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. You will work closely with the sales, offering, and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team focuses on providing automation in Application Hosting Operations, Infrastructure Management, and Intelligent Automation using Robotic Process Automation Tools such as Blue Prism and Automation Anywhere. Your responsibilities will include writing code using scripting languages like C, VB.NET, Python, etc., designing architecture of automation solutions and RPA tools, creating process flows, and generating technical documentation for end-to-end automation. Key Responsibilities: - Automate Business Processes using Robotic Process Automation Tools - Implement Cognitive RPA techniques like OCR, NLP, ML/AI, and API Integrations for automation - Write code using scripting languages such as C, VB.NET, Python for automation purposes - Design architecture of automation solutions and RPA tools - Create process flows and technical documentation for end-to-end automation - Work closely with sales, offering, and delivery teams to identify and build innovative solutions Qualifications Required: - Any Graduation - BE Please note that this role may require you to work in rotational shifts.,

As a highly skilled Data / AI / ML / Gen AI Scientist with 4-6 years of experience, your role is crucial in developing and implementing cutting-edge AI products and solutions to unlock the full potential of AI and ML. Your strong background in Python, experience with cloud platforms, and solid understanding of various AI concepts will be invaluable in this position. Key Responsibilities: - Develop and implement innovative AI and ML models to solve complex business problems. - Design and build scalable AI solutions using Python and relevant frameworks/libraries (Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, Huggingface). - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct research and development to stay updated with the latest advancements in AI and ML. - Engage with clients to understand their needs and provide tailored AI solutions. - Lead and mentor junior team members, fostering a collaborative and innovative work environment. - Ensure continuous learning and development to keep up with the fast-paced AI industry. - Rapidly prototype and iterate on AI models and solutions to meet business needs. Key Skills And Qualifications: - Proficiency in Python. - Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development. - Strong understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts. - Comfortable working in a fast-paced environment with rapid prototyping. - Experience with client engagement and leading teams is a plus. - Proven track record in building products/solutions using cutting-edge AI models and tools. Please note: The company values continuous learning and development, client engagement, and innovation in the field of AI, making it an exciting place to work and grow your skills.,

As an award-winning, equal opportunity, and culturally diverse organization, BMC fosters a work environment where giving back to the community is a driving force for continuous improvement. Balancing your priorities is encouraged as we believe that your best work stems from a harmonious work-life integration. Your achievements will be celebrated and acknowledged by our supportive peers who will also inspire and drive you towards success. Key Responsibilities: - Hands-on experience with Prompt Engineering, RAG, LLM Evaluation, and LLM Fine-tuning - Solid understanding of NLP concepts and familiarity with NLP libraries - Writing Python backend APIs using Fast API, Flask, or other frameworks - Knowledge of fine-tuning LLMs including Llama, BERT, and GPT based models - Demonstrating a self-starter attitude and intellectual curiosity - Excellent communication skills to effectively convey predictive analytics to non-technical audience - Proficiency in machine learning frameworks, data exploration techniques, and tools - Familiarity with observability tools, cloud platforms (e.g., OCP, AWS, Azure, GCP), statistical analysis, hypothesis testing, and data visualization techniques - Experience with Agile methodology and use of Atlassian products Jira and Confluence Qualifications Required: - Bachelors degree in computer science, Engineering, or a related field with 8 years of Data Science or a related field experience - Familiarity with machine learning frameworks and libraries - Nice to have: Worked on multiple Gen AI projects, forecasting, predictive modeling, any Azure or AWS Cloud certification, experience with big data technologies (e.g., Hadoop, Spark), and familiarity with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform - Mainframe knowledge is a plus BMC's commitment to its employees is centered around building a culture that values individuality. With a global team of over 6000 brilliant minds, BMC encourages you to be your authentic self and contribute with your unique skills and experiences. If you find alignment with BMC's vision and values but are unsure about meeting all the qualifications, we still encourage you to apply. Diversity in backgrounds and experiences is highly valued at BMC to foster innovation and collaboration. Please note that the salary mentioned is just one aspect of BMC's comprehensive employee compensation package, which may include additional benefits based on your location. BMC ensures fair and transparent compensation practices for all its employees. If you have had a break in your career, BMC welcomes candidates who are looking to re-enter the workforce. To explore opportunities and apply, visit the Returnship Program page at https://bmcrecruit.avature.net/returnship.,

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilities. Additionally, you will champion model performance, interpretability, and reproducibility across varied domains. Your contribution to reusable AI/ML tooling, pipelines, and best practices will play a significant role in improving development velocity. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers - Own the full ML lifecycle - Architect and implement models for various AI use-cases - Collaborate cross-functionally with product, engineering, and MLOps teams - Leverage LLMs and Retrieval-Augmented Generation - Champion model performance, interpretability, and reproducibility - Contribute to reusable AI/ML tooling and best practices **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field - 5+ years of hands-on experience developing and deploying ML models at scale - 2+ years of experience managing or mentoring data scientists or ML engineers - Proficiency in Python and familiarity with languages like Java - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering - Experience with model deployment tools and cloud ML platforms - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders At CDK, inclusion and diversity are fundamental values that inspire meaningful connections to people, customers, and communities. The company fosters an open, curious environment that encourages different views, allowing everyone to be their best selves and make a positive impact.,

As a Full Stack Developer AI/ML at our company located in Jodhpur, you will have the exciting opportunity to work on cutting-edge AI-powered applications, develop and deploy ML models, and integrate them into full-stack web solutions. Here's what you can expect in this role: Key Responsibilities: - Design, develop, and deploy AI/ML models for real-world applications. - Work with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks. - Develop RESTful APIs to integrate AI models with web applications. - Implement and maintain backend services using Node.js, FastAPI, or Flask. - Build and enhance frontend UIs using React.js, Vue.js, or Angular. - Manage databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. - Optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Work on data preprocessing, feature engineering, and model evaluation. - Deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). - Collaborate with cross-functional teams for AI integration into business applications. Required Skills & Qualifications: - 0-1 year of experience in AI/ML and full-stack development. - Strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy. - Experience with backend development (Node.js, FastAPI, Flask, or Django). - Knowledge of frontend frameworks (React.js, Vue.js, or Angular). - Familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase). - Understanding of machine learning workflows, model training, and deployment. - Experience with cloud services (AWS SageMaker, Google AI, Azure ML). - Knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models. - Basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning. - Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, D3.js). - Strong problem-solving and analytical skills. - Good communication and teamwork skills. Preferred Qualifications: - Experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face). - Knowledge of MLOps, model monitoring, and retraining pipelines. - Understanding of Reinforcement Learning (RL) and Generative AI. - Familiarity with Edge AI and IoT integrations. - Previous internship or project experience in AI/ML applications. In this role, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As part of the R&D Disruptive product team at Contentstack, you will play a crucial role in ideating and developing the MVP product, as well as creating new products. Your responsibilities will include: - Working with emerging technologies and experimenting with new ones to develop prototypes. - Collaborating with various product and engineering teams to integrate emerging tech into existing products. - Engaging in full-stack development, from code commits to production, to ensure the best user experience. - Designing, developing, and testing features throughout the development lifecycle. - Writing high-quality, scalable, testable, and reliable code. - Collaborating with cross-functional teams to understand the domain and deliver appropriate solutions. - Maintaining an open mindset for learning and adapting to new roles. - Continuous improvement through active learning and feedback mechanisms. Qualifications required for this role include: - Prior experience in Generative AI (LLM) and integrating with LLM APIs. - Proficiency in working with LLM Agents and creating Agentic AI solutions. - Experience in developing RAG pipelines and Prompt Engineering. - Ability to quickly learn new skills and apply them to solve complex problems. - Strong object-oriented design and development skills. - Knowledge of Software Development Life Cycle and proficiency in HTML, CSS, JavaScript, Node.js. - Excellent communication skills. - Exposure to databases such as MongoDB, Redis, and/or relational databases is preferred. - Familiarity with the tech stack including GenAI, Machine Learning, LLM, RAG, and NLP. - Experience level required is 2 to 6 years. About Contentstack: (Contentstack is a company focused on providing innovative solutions in the content management space. For any additional details about the company, please refer to their official website.),

Role Overview: Agoda, an online travel booking platform, is seeking ambitious and agile data scientists to join their Data Science and Machine Learning (AI/ML) team in Bangkok. As part of the team, you will work on challenging machine learning and big data projects, processing an impressive volume of events daily. The team focuses on dynamic pricing, customer intent prediction, search result ranking, content classification, personalization, algorithm-supported promotions, and more. You will have access to a large ML infrastructure and the opportunity to innovate the user experience. Key Responsibilities: - Design, code, experiment, and implement models and algorithms to enhance customer experience, business outcomes, and infrastructure readiness - Analyze a vast amount of customer data and user-generated events to derive actionable insights for improvements and innovation - Collaborate with developers and various stakeholders to deliver high-quality daily results - Research and explore new ideas that can drive positive change and make a difference Qualifications Required: - 4+ years of hands-on data science experience - Strong understanding of AI/ML/DL, Statistics, and proficiency in coding with open source libraries and frameworks - Proficiency in SQL, Python, PySpark, and/or Scala - Ability to work independently, lead, and collaborate effectively in a team - Excellent communication and interpersonal skills for a multicultural work environment Additional Company Details: Agoda, headquartered in Bangkok and part of Booking Holdings, fosters a diverse and collaborative work environment with employees from over 95 nationalities. The Data department at Agoda plays a critical role in enabling data usage through innovative approaches and powerful resources. The team is dedicated to empowering decision-making for various stakeholders and enhancing the customer search experience while combating fraudulent activities. Equal Opportunity Employer: Agoda welcomes both local and international applications for the data scientist role, offering full visa sponsorship and relocation assistance for eligible candidates. Your application will be kept on file for future opportunities, and you can request the removal of your details at any time as per the privacy policy. (Note: The disclaimer section has been omitted as per the instructions provided),

As an AI/ML Specialist in this full-time role based in Gurugram and Bangalore, your main responsibility will be to develop and implement machine learning models, conduct data analysis, and collaborate with cross-functional teams to integrate AI solutions into various projects. Your daily tasks will include designing algorithms, experimenting with AI techniques, preparing data sets, and deploying models to production environments. Additionally, you will be required to research new AI technologies and optimize existing machine learning systems. Your key responsibilities will include: - Designing, developing, and deploying machine learning models and AI algorithms - from data ingestion and feature engineering to model validation and tuning. - Collaborating with data scientists, software engineers, and product teams to integrate ML solutions into production systems. - Preprocessing datasets and executing data analysis pipelines to ensure clean, high-quality inputs. - Monitoring, evaluating, and optimizing model performance and scalability in production. - Staying updated on AI/ML trends such as Generative AI, NLP, and latest frameworks - and applying relevant innovations. - Documenting code, designs, and model evaluation results clearly and comprehensively. Qualifications required for this role include a strong background in AI and Large Language Models (LLMs), as well as experience in designing, developing, and implementing web applications using Django. The ideal candidate will have the ability to deliver high-quality software solutions, develop scalable web applications, integrate AI functionalities, and optimize performance to deliver innovative solutions. (ref:hirist.tech),

As a professional experienced in NLP/LLM/GenAI, you will be working at the Artificial Intelligence Advancement Center alongside leading technical experts from around the world. Your role will involve designing NLP/LLM/GenAI applications/products by following robust coding practices. You will explore state-of-the-art models and techniques for automotive industry use cases and conduct ML experiments to train/infer models while ensuring they adhere to memory and latency restrictions. Additionally, you will deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools and showcase these applications through web frameworks like Dash, Plotly, Streamlit, etc. You will also be responsible for converging multibots into super apps using LLMs with multimodalities and developing agentic workflows. Key Responsibilities: - Design NLP/LLM/GenAI applications/products by following robust coding practices - Explore state-of-the-art models/techniques for automotive industry use cases - Conduct ML experiments to train/infer models and build models adhering to memory & latency restrictions - Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools - Showcase NLP/LLM/GenAI applications through web frameworks like Dash, Plotly, Streamlit, etc. - Converge multibots into super apps using LLMs with multimodalities - Develop agentic workflows using Autogen, Agentbuilder, langgraph - Build modular AI/ML products that can be consumed at scale Qualifications: - Bachelors or masters degree in computer science, Engineering, Maths, or Science - Completion of modern NLP/LLM courses/open competitions is welcomed In addition to the technical requirements mentioned above, the company also values strong communication skills and teamwork abilities through various platforms like Git, Slack, email, and calls with team members across geographies. If interested, you are required to share an updated CV with compensation details, notice period, current location, and experience in the following skills: - NLP/LLM/GenAI applications/products - State-of-the-art models/techniques - Experience in LLM models like PaLM, GPT4, Mistral (open-source models) - ML/DL Skills - NLP Skills - GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI,

Role Overview: As a hands-on technical leader at Berryworks, you will be responsible for designing and developing world-class web and mobile applications. You will lead a globally distributed engineering team, mentor team members, and contribute significantly to product development. Your strong customer-focused mindset will drive you to own product features from ideation to deployment, while also leading design discussions on application architecture and integrations. Additionally, you will have the opportunity to explore and create ML and NLP algorithms, influence product design, and practice time management and prioritization skills in a dynamic environment. Key Responsibilities: - Leverage 8+ years of hands-on experience to design and develop enterprise-ready web and mobile applications - Own product features from ideation to deployment in a client production environment - Lead design discussions on application architecture, UI components, back-end, and third-party integration - Mentor a globally distributed engineering team to commit to excellence - Explore and create ML and NLP algorithms - Learn new technologies with agility to build prototypes - Influence product design and features - Practice time management and prioritization skills in a dynamic environment Qualifications: - Experience in leading engineering teams - Proficiency in front-end languages such as HTML, CSS, and JavaScript - Significant experience in Angular - Fluency in Python, Ruby, NodeJS, or Go (Python used at Berryworks) - Expertise in DynamoDB or other NoSQL Databases - Experience with AWS platform for development - Knowledge of NLP-based conversational-AI solutions implementation - Working experience in data & analytics field, including Machine Learning/Deep Learning, AI, and big data - Comfort with Agile development methodology - Ability to run technical checks and audits for compliance - Prior app development experience on Slack or Microsoft Teams is a plus - Excellent verbal and written communication skills for collaboration across teams (Note: Additional details about Berryworks being a fast-growing SaaS company with a focus on a fast-paced environment and hands-on leadership are omitted as they are not directly related to the job description.),

Role Overview: As an AI Engineer, your main responsibility will be to design, develop, and deploy AI and ML models for real-world applications. You will optimize algorithms for performance and scalability, integrate AI solutions into existing systems, and work on NLP, Computer Vision, and Predictive Analytics projects. It is essential to stay updated with the latest AI frameworks, tools, and research trends. Key Responsibilities: - Design, develop, and deploy AI and ML models for real-world applications. - Optimize algorithms for performance and scalability. - Integrate AI solutions into existing systems and workflows. - Work on NLP, Computer Vision, and Predictive Analytics projects. - Stay updated with the latest AI frameworks, tools, and research trends. Qualifications Required: - Proficiency in Python, TensorFlow, PyTorch, or Keras. - Strong understanding of machine learning, deep learning, and data science concepts. - Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus. - Excellent problem-solving and analytical skills. Additional Details: The company offers benefits such as flexible schedule, paid sick time, paid time off, Provident Fund, and work from home option. (Note: The above job description is for an AI Engineer position with 4+ years of experience or freshers with exceptional skills.),

Immediate Joiner Remote position 7+ Year of experience Essential Skills: Experience working with scalable, high-performance systems. Experience in designing system architecture for distributed applications Experience in API integration, Application development. Strong skills in designing database schema; both SQL and NoSQL databases . Contribution in maintaining high quality production software written in Python or Node.js Experience with leveraging serverless technologies like AWS Lambda, Google Dataflow, Google Pub/Sub and AWS Glue where required. Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Experience with monitoring and event analytics using ELK Design, build, manage and operate the continuous delivery framework and tools, and acting as a subject matter expert on CI/CD for developer teams. Front-end - Angular / ReactJS / jQuery Application Security Familiarity in Unix/Linux development environments & tools including scripting & process management. Strong problem-solving ability. The ability or potential to multitask, prioritize. Experience in Test Driven Development & Agile methodologies. Good communication skill. Experience of using tools like git, Jira, confluence is a plus. A team player who can collaborate with all stakeholders with strong interpersonal skills. Self-starter with a drive to technically mentor your cohort of developers Good to Have Exposure to maintaining and monitoring microservices with ML models (in Tensorflow Serving)

Role Overview: As a GenAI Specialist at Birlasoft, you will be completely hands-on with building applications using GenAI models and frameworks. You will serve as the primary technical expert for GenAI technologies, focusing on enhancing the GenAI footprint across clients by developing, implementing, and optimizing advanced AI models and solutions. Your role will involve defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. Additionally, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership and mentorship to teams, and troubleshoot and resolve complex platform integration and functionality issues. Your proactive approach will involve creating blueprints, PoCs, and pilots by independently building quick prototypes and demonstrating them to key decision-makers. Key Responsibilities: - Serve as the primary technical expert for GenAI technologies - Drive innovation and ensure successful integration of AI technologies into IT services for clients - Define best practices, standards, and templates for AI solutions - Conduct workshops, demos, and client presentations on GenAI use cases - Collaborate with cross-functional teams to identify, evaluate, and implement use cases across different customers - Evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities - Provide technical leadership, mentorship, and guidance to teams - Troubleshoot and resolve complex platform integration and functionality issues Qualifications Required: - 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/Gen AI technologies (OpenAI, Anthropic, Hugging Face, etc.) - Expertise in NLP, NLU, and NLG technologies - Solid understanding of API integrations, backend systems, and data flows - Programming skills in Python, Node.js, Java, or similar languages for API programming - Familiarity with LLMs (Large Language Models), prompt engineering, fine-tuning, and embeddings - Strong problem-solving skills and solution architecture capabilities - Excellent client-facing communication skills with the ability to translate business needs into technical solutions - Experience working with cloud platforms such as AWS, Azure, and GCP - Ability to manage multiple projects and priorities in a fast-paced environment.,

As a Lead Data Scientist in the Healthcare domain, you will be responsible for driving AI/ML initiatives, building predictive models, and delivering insights that transform healthcare solutions. Your role will involve leading end-to-end data science projects in healthcare, developing advanced ML, Deep Learning, and NLP models, working with structured and unstructured healthcare data while ensuring data privacy and compliance, and collaborating with cross-functional teams to define data-driven strategies and use cases. Furthermore, you will mentor and guide a team of data scientists and analysts and stay updated with AI/ML advancements in healthcare to recommend innovative approaches. **Key Responsibilities:** - Lead end-to-end data science projects in the healthcare space, from business understanding to deployment. - Develop, train, and optimize advanced Machine Learning, Deep Learning, and NLP models for healthcare datasets (EHR, medical claims, imaging, clinical notes, etc.). - Work with structured and unstructured healthcare data, ensuring data privacy, compliance (HIPAA, HL7, FHIR, GDPR), and ethical AI practices. - Partner with product, engineering, and business teams to define data-driven strategies and use cases. - Mentor and guide a team of data scientists and analysts, ensuring delivery of high-quality solutions. - Stay up-to-date with AI/ML advancements in healthcare and life sciences to recommend innovative approaches. **Qualifications Required:** - 6-10 years of experience in Data Science / AI/ML, with at least 3+ years in Healthcare domain projects. - Strong expertise in Python / R, SQL, TensorFlow / PyTorch, Scikit-learn, NLP frameworks. - Hands-on experience with healthcare datasets (EHR/EMR, HL7/FHIR standards, clinical text, medical imaging, claims, genomics). - Proven ability to design and deploy ML models at scale (on AWS / Azure / GCP). - Solid understanding of statistical modeling, predictive analytics, deep learning, and NLP. - Knowledge of data privacy and compliance regulations (HIPAA, GDPR, etc.). - Experience leading a data science team and collaborating with cross-functional teams. If you have exposure to Generative AI / LLM applications in healthcare, experience in biostatistics, medical research, or healthcare product development, and familiarity with MLOps practices and tools (Kubeflow, MLflow, Docker), it would be a plus. Would you like to join a fast-growing, innovation-driven organization working on next-gen healthcare AI solutions with real-world impact You will have the opportunity to collaborate with industry leaders, clinicians, and global teams while enjoying attractive compensation and growth prospects. Apply now with your updated resume to be part of this exciting journey.,

Role Overview: Agoda is seeking ambitious and agile data scientists to join the Data Science and Machine Learning (AI/ML) team based in Bangkok. As part of this team, you will have the opportunity to work on challenging machine learning and big data platforms, processing a massive amount of events daily and making predictions to enhance customer experience and business outcomes. Key Responsibilities: - Design, code, experiment, and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness - Mine and analyze a significant amount of data to discover actionable insights for driving improvements and innovation - Collaborate with developers and various business owners to deliver daily results with the highest quality - Research and explore new ideas that can make a difference Qualifications Required: - 4+ years of hands-on data science experience - Excellent understanding of AI/ML/DL and Statistics, proficiency in coding using related open source libraries and frameworks - Proficiency in SQL, Python, PySpark, and/or Scala - Ability to work independently, lead, and collaborate effectively in a team - Strong communication and interpersonal skills for working in a multicultural environment Additional Company Details: Agoda, an online travel booking platform, is part of Booking Holdings and has over 7,100 employees from 95+ nationalities in 27 markets. The company fosters a diverse and collaborative work environment, focusing on innovation and experimentation to enhance customer travel experiences. Equal Opportunity Employer: Agoda welcomes both local and international applicants for the data scientist role and offers full visa sponsorship and relocation assistance for eligible candidates. Your application will be kept on file for future vacancies, and you have the option to request removal of your details from the file. Note: The job description provided is based on the information available and may be subject to change.,

As a Generative AI Architect at NiCE, you will be responsible for providing technical leadership and architectural direction for the development and integration of Generative AI solutions within the organization's product portfolio and platform. Your role will involve collaborating closely with engineering, data science, product, and business stakeholders to ensure effective design, scalability, security, and operationalization of GenAI-powered features and systems. **Key Responsibilities:** - Set the end-to-end technical direction for Generative AI initiatives, including platform, technology stack, tools, and infrastructure. - Architect, design, and oversee the implementation of GenAI models and pipelines for production use cases. - Collaborate with cross-functional teams to define requirements, deliver functional and design specifications, and ensure alignment with business objectives. - Ensure that Generative AI solutions are scalable, secure, reliable, and maintainable, adhering to enterprise standards and best practices. - Lead architectural and design reviews for GenAI features and help establish coding and model development standards. - Evaluate, select, and integrate third-party GenAI platforms, frameworks, APIs, and cloud services as appropriate. - Drive continuous innovation by staying up-to-date with advances in GenAI, ML, and AI infrastructure. - Foster a culture of engineering excellence, mentoring team members on AI/ML, MLOps, and responsible AI practices. - Ensure robust model monitoring, performance evaluation, and feedback loops for deployed GenAI systems. - Collaborate with security and compliance teams to ensure adherence to data governance, privacy, and AI ethics requirements. - Contribute to strategic planning for AI initiatives and the company's long-term technology roadmap. - Mentor teams on the importance of each MCP pillar and drive adoption of best practices throughout the AI development lifecycle. **Qualifications:** - 15+ years of software development or technical leadership experience, with at least 5 years focused on AI/ML solutions and a minimum of 2 years architecting Generative AI systems. - Expertise in designing and deploying production-grade Generative AI solutions, including LLMs, summary generation, prompt engineering, and RAG-based architectures. - Experience with leading AI/ML frameworks and MLOps tools. - Strong understanding of cloud platforms and AI services. - Deep knowledge of machine learning concepts, data engineering, and model operationalization at scale. - Familiarity with responsible AI practices, including data privacy, fairness, explainability, and compliance. - Proficient in programming languages such as Python, Java, or similar; experience with containerization and orchestration. - Experience driving Continuous Integration and Delivery for AI/ML solutions. - Excellent problem-solving, decision-making, and communication skills. - Proven ability to mentor engineers and data scientists, foster teamwork, and drive consensus. - Experience working in Agile development environments. - Strong quality orientation, attention to detail, and ability to translate ideas into robust solutions. - Familiarity with security technologies and best practices for AI-enabled platforms. - Experience with AI/ML testing, monitoring, and continuous model evaluation in production. - Exposure to natural language processing (NLP) and computer vision applications. - Familiarity with MCP framework. - Passion for delivering innovative, high-quality GenAI products and platforms. - Ability to work independently and collaboratively across multi-disciplinary teams. - Demonstrated leadership in adopting new technologies and driving organizational change. - Strong customer orientation and ability to communicate complex technical concepts to non-technical stakeholders. - Commitment to ethical AI and continuous learning. NiCE offers a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Join the NiCE team and be part of a fast-growing, highly respected organization where innovation and growth are at the forefront. Enjoy NiCE-FLEX hybrid model, combining office and remote work for maximum flexibility.,

Role Overview: As a Junior ML Engineer, you will be exposed to real-world machine learning systems from day one. You will support model development, testing, and deployment, and also take ownership of core data tasks like ingestion, vectorization, and indexing that form the backbone of the AI search engine. This role is perfect for someone who wants to grow fast, work with state-of-the-art AI tools, and help shape the future of legal research. Key Responsibilities: - Assist in Building and Deploying AI Models - Support senior ML engineers in developing search relevance models using LLMs and RAG. - Help test and evaluate embedding quality, ranking performance, and retrieval accuracy. - Contribute to deploying models into production on Azure. - Learn and Grow in a Production AI Environment - Gain exposure to real-world ML workflows used in legal and enterprise search. - Receive mentorship on best practices in model design, deployment, and optimization. - Participate in code reviews, architecture discussions, and technical deep dives. - Build APIs and Contribute to Integration Work - Help create and maintain REST APIs that expose AI-powered search to frontend apps. - Work alongside full-stack engineers to ensure seamless integration of models. - Manage Data Pipelines for Legal Search - Ingest, preprocess, and structure legal documents for AI consumption. - Chunk and generate embeddings from legal texts using pre-trained models. - Continuously update Azure AI Search indexes by ingesting fresh legal data on a regular basis. Qualification Required: - 2-3 years of experience or strong academic projects in ML/NLP/data science. - Strong programming skills in Python and experience with PyTorch or TensorFlow. - Familiarity with LLMs, vector search including Azure AI Search and RAG workflows. - Exposure to FastAPI, Flask, or Azure ML services. - Experience with data processing libraries (Pandas, NumPy, spaCy, NLTK). Additional Details: This is an on-site position for Lucknow, India. Nice to Have: - Experience working with legal, academic, or enterprise document data. - Interest in AI-powered document search or legal/enterprise NLP applications. - Strong desire to learn and collaborate with senior ML engineers. Notice Period: 1 Month or less,

As a Senior Gen AI Engineer, your role involves collecting and preparing data for training and evaluating multimodal foundation models. This includes cleaning and processing text data or creating synthetic data. You will be developing and optimizing large-scale language models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Tasks will also include working on language modeling, text generation, understanding, and contextual comprehension. It is essential to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Additionally, you will be responsible for building and deploying AI applications on cloud platforms such as Azure, GCP, or AWS. Integration of AI models with the company's data to enhance and augment existing applications is also part of your responsibilities. Key Responsibilities: - Handle data preprocessing, augmentation, and generation of synthetic data. - Design and develop backend services using Python to support OpenAI-powered solutions (or any other LLM solution). - Develop and maintain AI pipelines. - Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. - Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions. - Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. - Ensure the robustness, efficiency, and scalability of AI systems. - Stay updated with the latest advancements in AI and machine learning technologies. Qualifications Required: - Strong foundation in machine learning, deep learning, and computer science. - Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). - Experience with natural language processing (NLP) and computer vision is a plus. - Ability to work independently and as part of a team. - Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. - Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. - Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. - Experience in developing and deploying AI models in production environments. - Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions. - Should be able to bring new ideas and innovative solutions to clients.,

**Role Overview:** As an AI Model Developer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models, with a focus on NLP, Generative AI, and other AI technologies. You will stay updated with the latest advancements in machine learning and artificial intelligence, conducting research to identify new techniques and approaches to enhance AI solutions. Analyzing large and complex datasets to extract meaningful insights using statistical analysis and machine learning techniques will be a key part of your role. **Key Responsibilities:** - Collaborate with cross-functional teams, including software engineers and data scientists, to effectively integrate machine learning models into applications and systems. - Optimize machine learning algorithms for performance, scalability, and efficiency, identifying and resolving bottlenecks for smooth execution. - Evaluate the performance of machine learning models using appropriate metrics, ensuring accuracy and reliability through rigorous testing and validation. - Document the development process, algorithms, and models, preparing clear and concise technical documentation for reference and knowledge sharing. - Conduct cost/benefit analysis, business case development, prioritize requirements, and create conceptual prototypes and mock-ups. - Master strategic business process modeling, traceability, and quality management techniques. - Demonstrate strong verbal and written communication and presentation skills, effectively communicating analytical outcomes to both business and technical teams. **Qualifications Required:** - Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). - Familiarity with Finance & Accounting principles and/or project accounting. - Experience in developing and implementing machine learning models, particularly in NLP and Generative AI. - Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. - Strong understanding of deep learning architectures, algorithms, and frameworks. - Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks. - Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). - Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines. - Master's Degree in Statistics, Business Administration, or related disciplines is a plus. - Certifications in Data Analytics & Data Science are a plus. - Must have 1+ years of experience working on ML algorithms and related products. - Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL). - Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus. - Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules). **Additional Company Details (if applicable):** CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as CDM Smith) reserves the right to require background checks including criminal, employment, education, licensure, etc., as well as credit and motor vehicle checks for certain positions. Background checks are conducted post-offer in the United States. The timing of background checks for positions outside the US will vary. Criminal history will not automatically disqualify a candidate.,

As a Technical Content team member at Itvedant, your role will involve researching, writing, and editing technical content across various platforms such as websites, blogs, and user manuals. You will also be responsible for creating clear marketing copy to promote our products and services. Collaboration with technical teams to simplify complex concepts, ensuring accuracy and consistency in all technical content, and optimizing content for search engines using SEO best practices will be key areas of focus. Additionally, you will review and edit existing technical content, assist in developing content strategies, and implement them effectively. Key Responsibilities: - Research, write, and edit technical content for websites, blogs, and user manuals. - Create clear marketing copy to promote products/services. - Collaborate with technical teams to simplify complex concepts. - Ensure accuracy, consistency, and alignment with brand messaging in technical content. - Optimize technical content for search engines using SEO best practices. - Review and edit existing technical content for accuracy and clarity. - Assist in developing and implementing content strategies. Qualifications Required: - Currently pursuing or recently completed a Bachelor's degree in Technical Writing, Computer Science, Engineering, or related field. - Strong written and verbal communication skills. - Excellent attention to detail and ability to adhere to brand guidelines. - Familiarity with SEO best practices. - Ability to work independently and as part of a team. - Strong organizational and time management skills. - Proficiency in Microsoft Office Suite and Google Suite. About Itvedant: Itvedant is a company dedicated to bridging the gap between education and the skills required for the job market. With a strong passion for teaching, we strive to empower our students for a successful future. Joining our team means becoming a part of a dynamic and passionate group from the software industry, committed to guiding students towards a bright career path. Skills Required: - Data Analyst (Advance Excel, Tableau, Power BI) - Python (Django) - Java (Spring Boot) - Data Science (Machine learning, Deep learning, NLP, Computer Vision),

As a Software Engineer at Visa's VAS Innovation team, you will play a crucial role in developing cutting-edge solutions to enhance the capabilities of Value-Added Services (VAS) platform. Your responsibilities will include: - Engaging in the design, development, and implementation of innovative software solutions, such as generative AI and modern integration patterns. - Collaborating with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. - Engaging in continuous learning and development to enhance your skills and knowledge. - Developing client-focused solutions with a mindset to deliver exceptional value and innovation. - Contributing to the design and development of APIs that enhance the integration of VAS applications, platforms, and solutions. - Participating in the advancement of the technology modernization roadmap by adopting best-in-class technology solutions. - Continuously assessing and improving technology stacks, development processes, and methodologies to enhance productivity and quality. - Adhering to industry best practices in software development and emphasizing quality, security, performance, scalability, and resilience. - Implementing best engineering practices and automating software development, testing, and deployment processes to focus on continuous improvement. - Supporting incident management, change, and problem management processes to ensure high availability and reliability of services. Qualifications: Basic Qualifications: - 3 or more years of relevant work experience with a bachelor's degree or 2 years with an Advanced Degree (Masters/PhD in Engineering/Computer Science). - Self-driven and willing to work across technologies/languages. - Expert-level skills in Java and Python with skills in C++ and C# being a bonus. - In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. - Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Ability to work with large datasets and perform exploratory data analysis. - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Expertise in handling multi-threading, concurrency, and error-handling. - Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects. - Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment. Preferred Qualifications: - Understanding of enterprise security, certificate management, etc. - Hands-on experience with Jenkins and container deployment architecture. - Experience using OAuth2.0, SSO, and authentication methods/protocols. - Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.,

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, evaluation, and deployment. Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques. Own the model lifecycle from experimentation to production-grade deployment. Partner with engineering/product teams to translate business needs into scalable AI solutions. Required Skills 7+ years in data science, with 3+ years focused on NLP and LLMs. Proven expertise in fine-tuning large-scale models on enterprise or open datasets. Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies. Experience optimizing inference pipelines for production environments. Strong coding background in Python, PyTorch, and scalable ML architectures. Deep understanding of model alignment, evaluation strategies, and generative QA tasks. Leadership Skills Ability to lead cross-functional teams across data science, MLOps, and software engineering. Experience mentoring junior team members and reviewing model design/code. Strong communication skills to influence technical and non-technical stakeholders.