880 Nlp Jobs - Page 20

You will be responsible for designing machine learning systems and implementing machine learning algorithms and tools. Your role will involve managing research and development processes to align with the AI strategy, developing machine learning applications based on project requirements and business goals, and conducting tests and statistical analysis to optimize machine learning systems. Additionally, you will select datasets, extend existing machine learning libraries, and train systems as needed. Working closely with engineering and leadership teams, you will contribute to functional design, prototyping, testing, and training of AI/ML solutions. Providing guidance on technology, strategy, and policy issues related to AI/ML will be part of your responsibilities. Collaboration with development teams to define application requirements, writing scalable Python code, testing and debugging applications, developing back-end components, and integrating user-facing elements will also be key aspects of your role. Reprogramming databases for improved functionality, developing tools to monitor online traffic, and creating production-quality machine learning pipelines with a focus on performance, scalability, reliability, and maintainability are important tasks. You will also be involved in building components and libraries to enhance existing solutions and facilitate the delivery of new ones. To succeed in this role, you should have at least 3 years of experience applying AI practically, with expertise in deep learning, NLP, and TensorFlow. Proficiency in writing robust code in Python, Java, and/or R, along with experience in REST API development, NoSQL database design, and RDBMS design and optimizations, is required. Strong knowledge of algorithms, object-oriented and functional design principles, data structures, data modeling, software architecture, math, probability, statistics, and machine learning frameworks is essential. Familiarity with machine learning libraries like scikit-learn, excellent communication skills, and strong analytical abilities are also necessary. A Bachelor's degree in a relevant technology field and experience working with cloud environments are preferred qualifications for this position.,

Job ID: 21570 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 27 Mar 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Groups Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Banks Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 5-12 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers,

As a Data Scientist at Amdocs in Pune, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. Your role will involve hands-on experience in handling GenAI use cases and developing Databricks jobs for data ingestion for learnings. You will create partnerships with project stakeholders to provide technical assistance for important decisions and work on the development and implementation of Gen AI use-cases in live production as per business/user requirements. Your technical skills should include mandatory expertise in deep learning engineering (mostly on MLOps), strong NLP/LLM experience, and processing text using LLM. You should be proficient in Pyspark/Databricks & Python programming, building backend applications using Python and deep learning frameworks, and deploying models while building APIs (FAST API, FLASK API). Experience with working with GPUs, vector databases like Milvus, Azure cognitive search, and quadrant, as well as transformers and hugging face models like llama, Mixtral AI, and embedding models is essential. It would be good to have knowledge and experience in Kubernetes, Docker, cloud experience working with VMs and Azure storage, and sound data engineering experience. In this role, you will be challenged to design and develop new software applications, providing you with opportunities for personal growth in a growing organization. Your job will involve minimal travel and will be located in Pune. Join Amdocs and help build the future to make it amazing by unlocking innovative potential for next-generation communication and media experiences for end users and enterprise customers.,

As a Software Developer specializing in Automation, you will play a crucial role in designing, building, configuring, and implementing new or enhanced software products and solutions. Working closely with the Solution Delivery and Business-IT Engagement teams, you will ensure that the developed products meet various requirements such as business, functional, and technical aspects. To excel in this role, you should have experience with Robotic Process Automation (RPA) tools like UiPath, Blue Prism, or Automation Anywhere. Additionally, familiarity with Microsoft Azure, Power Apps, and Power Automate would be beneficial. The evolution of RPA solutions into Intelligent Automation involves integrating cognitive services such as chatbots, natural language processing (NLP), and optical character recognition (OCR) to create advanced automated solutions. Your responsibilities will include solution design, technical component building and configuration, coding, quality assurance, and collaboration with the testing team. You will also be involved in preparing technical documentation, supporting knowledge transfer, release management activities, and contributing to project planning and management. Ideal candidates for this role should possess strong problem-solving skills, effective communication abilities, and a proactive and results-oriented approach. Additionally, a willingness to continuously learn and improve your skills, along with relevant certifications in RPA, Microsoft Cognitive Services, or Process Mining, would be advantageous. If you are motivated to enhance your automation expertise and contribute to creating innovative solutions, this position offers opportunities for ongoing training and professional development. Join us at Johnson Controls, where we are dedicated to shaping a safer, more comfortable, and sustainable future through innovative solutions and collaborative teamwork. Embrace the challenge of tomorrow with a career that focuses on making a meaningful impact on the world.,

Qualcomm India Private Limited is seeking a passionate research engineer to join the Advanced Tech R&D team. In this role, you will focus on applying machine learning to generative audio, video, and natural language use cases. Your responsibilities will include developing innovative machine learning algorithms for audio and speech generative models, filing corresponding papers and patent disclosures, achieving state-of-the-art performance in various audio/NLP applications, and combining features from multi-modalities such as video, audio, sensors, and location. Additionally, you will collaborate with a team of machine learning experts to develop technology solutions for mobile phones, headsets, IoT devices, and cloud outlets. You will work on porting newly designed solutions to real live prototypes, showcasing them at tradeshows and customer events, and supporting commercialization activities in upcoming products. The ideal candidate will have experience in R&D of audio and speech generative networks, audio/speech synthesis, speech restoration, and text-to-speech models. You should be familiar with recent trends in machine learning and traditional statistical modeling/feature extraction techniques. Preferred qualifications include proficiency in designing, implementing, and training deep learning algorithms in high-level languages/frameworks such as PyTorch and TensorFlow. You should be willing to engage in hands-on R&D in modeling audio/speech/text data and excel at working in cross-disciplinary, geographically dispersed teams. Education requirements for this role include a preferred Master's or Doctorate degree in Computer Engineering, Computer Science, or Electrical Engineering, along with 2+ years of R&D experience in Computer Vision, image processing, NLP, or multimodal applications in academic or industry settings. Alternatively, applicants with a Bachelor's degree and 3+ years of Systems Engineering or related work experience, a Master's degree and 2+ years of experience, or a Ph.D. and 1+ year of experience will also be considered. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm for support. It is important to note that Qualcomm expects its employees to adhere to all applicable policies and procedures, including those related to the protection of company confidential information. Staffing and recruiting agencies are advised that Qualcomm's Careers Site is intended for individuals directly seeking job opportunities at Qualcomm, and unsolicited submissions will not be accepted. For more information about this role, please reach out to Qualcomm Careers.,

As the Engineering Manager/Lead at ThinkHumble, you will play a pivotal role in revolutionizing learning through AI-powered personalized experiences. ThinkHumble is committed to challenging traditional learning methods, fostering innovation, and encouraging lifelong exploration to democratize knowledge for learners from all backgrounds. Your primary responsibility will involve hands-on development, focusing on architecting, designing, and developing scalable and secure applications. You will write clean, efficient, and well-documented code for both backend and front-end development. Additionally, you will work on microservices architecture, ensure seamless integration of APIs, optimize database performance, deploy, monitor, and manage services, troubleshoot production issues, and implement performance enhancements. Moreover, as a leader, you will mentor and guide software engineers to enhance their technical and problem-solving skills. You will conduct code reviews, enforce best practices, and ensure the delivery of high-quality software. Collaborating with Product and Design teams to align engineering efforts with business objectives and driving Agile methodologies and CI/CD best practices will be essential aspects of your role. To be successful in this role, you should be an Engineer at heart, driven by quality, and have a strong background in full stack software development and leadership roles, ideally in the startup or AI/ML domain. Proficiency in Java, Spring Boot, Microservices, MySQL, AWS, Docker, Kubernetes, and Jenkins is required. Front-end experience with React, Angular, or Flutter, along with knowledge of HTML/CSS and JavaScript, is preferred. A solid grasp of cutting-edge AI, particularly NLP or computer vision, is highly desirable. In return, ThinkHumble offers a competitive salary, the autonomy to shape the company's future, the opportunity to work on cutting-edge technologies, and a collaborative work environment where your ideas are valued. This role provides you with the chance to make a real impact on the learning landscape and build your legacy within a mission-driven organization with significant growth potential. Join us at ThinkHumble in Kharadi, Pune, and be part of a dynamic team that is dedicated to transforming the world of learning through innovative AI solutions.,

Job Description Leena AI is looking for a highly skilled Engineering Lead / Technical Lead with strong expertise in Moveworks to join our team. As an Engineering Lead, you will be responsible for leading the technical development and implementation of AI-driven automation solutions, ensuring high-performance and scalable applications. You will work closely with cross-functional teams to design, develop, and deploy solutions that enhance enterprise workflows. Key Responsibilities Technical Leadership: Lead and mentor a team of engineers, ensuring best practices in development, architecture, and deployment. Moveworks Expertise: Leverage Moveworks platform capabilities to build and optimize AI-powered automation solutions. Solution Architecture: Design scalable and efficient technical solutions to improve enterprise workflows. Development & Integration: Build and integrate AI-driven solutions with enterprise platforms, ensuring seamless user experience. Collaboration: Work with product managers, designers, and other stakeholders to define technical requirements and project roadmaps. Code Quality & Performance: Maintain high code quality, conduct code reviews, and optimize application performance. Innovation & Continuous Improvement: Stay up-to-date with the latest industry trends, emerging technologies, and AI advancements to drive innovation. Requirements Experience: 7+ years in software engineering, with at least 2 years in a technical leadership role. Moveworks Experience: Mandatory experience with Moveworks, including building and deploying AI-powered automation solutions. Technical Skills: Strong proficiency in programming languages such as Python, Java, or JavaScript. AI & ML: Understanding of AI, NLP, and ML concepts, preferably with experience in enterprise automation. Cloud & DevOps: Experience with cloud platforms (AWS, Azure, GCP) and DevOps best practices. Collaboration & Communication: Excellent communication skills with the ability to work in cross-functional teams. Problem-Solving: Strong analytical and problem-solving skills with a solution-oriented mindset. Preferred Qualifications Experience working in a fast-paced startup environment. Familiarity with additional automation tools and frameworks. Experience with enterprise IT service management platforms (e.g., ServiceNow, Workday, Jira, etc.). Why Join Leena AI Opportunity to work on cutting-edge AI-driven solutions. Collaborative and innovative work culture. Competitive salary and benefits package. Career growth and professional development opportunities. If you have a passion for AI-driven automation and want to be part of a dynamic team, we would love to hear from you! Skills: software solution architecture,javascript,moveworks,ai,ml,aws,problem-solving,nlp,python,communication,azure,java,devops,gcp,cloud,

Job Overview We are seeking an experienced and innovative AI Product Manager to lead the strategy, development, and execution of AI-powered products. This role requires a deep understanding of AI technologies, market trends, and user needs to drive the success of our AI-driven solutions. You will collaborate closely with data scientists, engineers, designers, and stakeholders to ensure the seamless integration of AI into our products. Key Responsibilities Define and execute the AI product roadmap based on market research, customer feedback, and business goals. Work with cross-functional teams to conceptualize, design, develop, and launch AI-driven solutions. Translate complex AI capabilities into user-friendly features and business opportunities. Collaborate with data scientists and machine learning engineers to build scalable and efficient AI models. Define key performance metrics and ensure continuous optimization of AI models and products. Conduct market research and competitor analysis to identify opportunities and gaps in AI product offerings. Ensure ethical AI practices and compliance with industry standards and regulations. Communicate AI-driven product vision, progress, and results to stakeholders, executives, and customers. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Business, or a related field. 4+ years of experience in product management, preferably in AI/ML-driven products. Strong understanding of AI, machine learning, deep learning, NLP, and related technologies. Experience working with data science and engineering teams to build AI-powered applications. Ability to analyze large datasets and derive insights for decision-making. Excellent problem-solving, communication, and leadership skills. Familiarity with agile methodologies, product lifecycle, and go-to-market strategies. Knowledge of AI ethics, fairness, and compliance best practices. Preferred Qualifications Experience with cloud platforms (AWS, Google Cloud, Azure) and AI/ML tools. Background in software development or data science. Experience in A/B testing, data analytics, and user behavior analysis.,

Our Mission Join Avoma and work on some of the most challenging NLP problems in our mission to make every meeting more productive. Our intelligent meeting assistant helps professionals get insights and automate common tasks required for any business meeting. We leverage the latest NLP techniques to summarize meeting notes and extract key topics and action items, so our users can spend more time getting things done. The Opportunity We are looking for a Deep Learning / NLP Engineer to improve and build our algorithms to extract key insights and topics from conversations. For our insights engine, youll need to apply SOTA NLP techniques to take on challenges like identifying different topics of interest and summarizing meeting transcripts to succinct notes. At Avoma You Will Improve Avomas Insights Engine Create new models to be used in the production Work with state-of-the-art LLMs to solve complex tasks Develop and improve Deep Learning models in Tensorflow Work with our engineering team to ship models to our customers Stay up to date on the latest state-of-the-art papers in NLP Work with large datasets of over a million documents Requirements Atleast 4+ Years of experience with Machine Learning & NLP in a production environment Experience developing and debugging in Python Experience working with GPT, Claude, Gemini, or other similar LLMs. Experience writing and shipping scalable, high-performant and clean code Experience training Deep Neural Networks Experience with Tensorflow, PyTorch, or similar frameworks Excellent in both spoken and written communication skills Curious, self-motivated, and loves challenging problems Benefits A transparent salary structure: INR 26,50,000 - INR 36,00,000 (Depending on the experience) Stock Option Plan Fast-paced, collaborative work environment Paid Time Off (Vacation, Sick and Public Holidays),

As a Data Science Manager in the S&C GN team at Accenture, you will join a dynamic and innovative group specializing in the Contact Center domain. Our team is committed to revolutionizing customer interactions through data-driven intelligence. We focus on optimizing contact center operations by harnessing the power of machine learning, natural language processing (NLP), and advanced analytics. Your role will involve leveraging Generative AI and Machine Learning to enhance customer experiences and streamline contact center operations. You will be responsible for developing and fine-tuning Generative AI models to automate responses, improve self-service capabilities, and enhance customer interactions. Building and deploying ML models for intent classification, sentiment analysis, and predictive analytics will also be part of your duties. Customer segmentation and behavioral analysis will play a crucial role in identifying patterns, personalizing recommendations, and driving targeted engagement strategies. You will work on optimizing conversational AI workflows to enhance intent recognition, response generation, and real-time decision-making. Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies will be integral to your responsibilities. Collaboration with cross-functional teams, including engineering, product, and marketing, will be essential to integrate AI-driven solutions into existing platforms. As a manager, you will lead stakeholder engagement, client communication, and business development efforts. You will translate complex AI/ML insights into actionable business strategies and present them to senior leadership and clients. Driving data-driven solutions, understanding client pain points, and identifying new opportunities for innovation and expansion will be key aspects of your role. Your strong interpersonal and negotiation skills will be instrumental in fostering successful partnerships and driving long-term business impact. If you are passionate about applying data science to address real-world customer experience challenges, this role offers an exciting opportunity to work on cutting-edge AI and data science techniques with a focus on driving impactful outcomes in the contact center space.,

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Job Description : Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Note: Please do not apply if you are not interested for Contract based work. Job Title: Data Scientist Contract Position About the Role: We are looking for a skilled and passionate Data Scientist who brings hands-on expertise in Python programming, Azure ecosystem, and Generative AI (GenAI) to help us design, build, and scale intelligent, AI-powered solutions. The ideal candidate will have deep experience with NLP, Computer Vision (CV), LLMs, FastAPI, vector databases, and modern machine learning pipelines. Key Responsibilities: Design and implement AI/ML models for solving real-world business problems using Python and Azure ML. Develop and deploy RAG-based solutions integrating embedding techniques, chunking, and retrieval strategies. Work on OpenAI/GenAI-based models and fine-tune for specific enterprise use cases. Build and consume REST APIs using FastAPI or Django. Leverage Azure Form Recognizer for intelligent document processing. Implement CI/CD pipelines for model deployment and automation. Work with NoSQL and Vector Databases to store and retrieve high-dimensional data. Collaborate with cross-functional teams to build scalable and robust ML pipelines. Apply Deep Learning and NLP/CV techniques to enhance product features. Primary Skills Required: Strong expertise in Python programming Experience with Azure Services (e.g., Azure ML, Azure Functions, Form Recognizer) Hands-on with FastAPI, Django framework Good understanding of CI/CD pipelines Proficiency in GenAI and OpenAI models Expertise in NLP, Computer Vision, Machine Learning, and Deep Learning Familiarity with NoSQL Databases (e.g., MongoDB, Cosmos DB) Experience with Vector Databases (e.g., FAISS, Pinecone, Qdrant) Knowledge of embedding & chunking techniques Experience in building RAG (Retrieval-Augmented Generation) based solutions Strong grasp of retrieval methods and information retrieval

About the Role We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems. Responsibilities Generative AI Pipeline Development Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads. Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs. Build CI/CD pipelines with integrated prompt regression testing and version control. Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows. Monitor system performance using tools like Langfuse or Prometheus. Data and Document Ingestion Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data. Apply preprocessing pipelines for text, images, and code. Ensure data integrity, format consistency, and security across sources. AI Service Integration Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.). Build internal APIs for smooth backend-AI communication. Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets. Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy. Retrieval-Augmented Generation (RAG) Pipelines Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API). Design custom retrieval strategies for multi-modal or multi-source documents. Apply post-retrieval ranking using DPO or feedback-based techniques. Improve contextual relevance through re-ranking, chunk merging, and scoring logic. LLM Integration and Optimization Manage prompt engineering, model interaction, and tuning workflows. Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design. Optimize generation using temperature tuning, token limits, and speculative decoding. Integrate observability and cost-monitoring into LLM workflows. Backend Services Ownership Design and maintain scalable backend services supporting GenAI applications. Implement monitoring, logging, and performance tracing. Build RBAC (Role-Based Access Control) and multi-tenant personalization. Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production. Required Skills and Qualifications Education Bachelors or Masters in Computer Science, Artificial Intelligence, Machine Learning, or related field. Experience 5+ years of experience in AI/ML engineering with end-to-end pipeline development. Hands-on experience building and deploying LLM/RAG systems in production. Strong experience with public cloud platforms (AWS, Azure, or GCP). Technical Skills Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch. Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph. Experience with RESTful API development and version control using Git. Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval. Familiarity with Docker, Kubernetes, and scalable microservice design. Experience with observability tools like Prometheus, Grafana, or Langfuse. Generative AI Specific Skills Knowledge of LLMs, VAEs, Diffusion Models, GANs. Experience building structured + unstructured RAG pipelines. Prompt engineering with safety controls, schema enforcement, and hallucination mitigation. Experience with prompt testing, caching strategies, output filtering, and fallback logic. Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods. Soft Skills Strong analytical, problem-solving, and debugging skills. Excellent collaboration with cross-functional teams: product, QA, and DevOps. Ability to work in fast-paced, agile environments and deliver production-grade solutions. Clear communication and strong documentation practices. Preferred Qualifications Experience with OCR, document parsing, and layout-aware chunking. Hands-on with MLOps and LLMOps tools for Generative AI. Contributions to open-source GenAI or AI infrastructure projects. Knowledge of GenAI governance, ethical deployment, and usage controls. Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI. Shift Time: 2:30 PM to 11:30 PM IST Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Job Summary: We are seeking a Linguist with relevant experience in LLM/GenAI-based solutions who has worked professionally with English and at least one foreign language (e.g., French, Spanish, German, Polish, etc.). You will evaluate and debug AI-generated translations, identify language-specific issues, and develop prompts and linguistic strategies to improve AI performance in child-focused experiences. Key Responsibilities: Analyse AI-translated content between English and various foreign languages to identify syntactic, semantic, grammatical, or contextual errors. Diagnose the root causes of translation failures (e.g., word order differences, idiomatic mismatches, subject-verb agreement, ambiguity). Break down complex linguistic challenges and provide actionable insights to improve AI model performance. Optimise prompts, inputs, and data pipelines for better multilingual outcomes. Work closely with language experts (native or fluent speakers) to validate findings and implement fixes. Contribute to the development of language guidelines, test sets, and evaluation frameworks. Document translation performance issues and propose prompt-level or model-level fixes. Participate in or lead projects aimed at improving multilingual LLM behaviour, especially for content targeting young users. Required Qualifications and Experience: Ph.D. or Masters degree in Linguistics. Strong command of English linguistics, including grammar, syntax, semantics, and discourse analysis. Proven experience working with or analysing English + at least one foreign language (e.g., French, Spanish, Polish, etc.) in translation, NLP, or linguistic research contexts. Hands-on experience in AI/LLM evaluation, GenAI tools, or prompt engineering.

Roles & Responsibilities : Responsible for developing new features and models as part of our core product through applied research. Understand, apply and extend state-of-the-art NLP research to better serve our customers. Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. Think creatively to identify new opportunities and contribute to high-quality publications orpatents. Desired Qualifications and Experience : At Least 1 year of professional experience. Bachelors in Computer Science or related fields from the top colleges. Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval. Experience applying ML to solve complex business problems from scratch. Experience with Python and a deep learning framework like Pytorch/Tensorflow. Awareness of the state of the art research in the NLP community. Excellent verbal and written communication and presentation skills.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Notice Period : Immediate - 15 Days About the Role :We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities :- Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation.- Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency.- NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems.- Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models.- Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models.- Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets.- Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications :Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing.Technical Skills : - Proficiency in Python programming language.- Deep understanding of machine learning algorithms and techniques.- Expertise in NLP, including language models and text processing.- Familiarity with ML frameworks like PyTorch or TensorFlow.- Experience with cloud platforms (GCP, AWS) and containerization (Docker).- Knowledge of relational databases (Postgres, MySQL).Soft Skills : - Strong problem-solving and analytical skills.- Excellent communication and collaboration abilities.- Ability to work independently and as part of a team. Benefits :- Competitive salary and benefits package.- Opportunities for professional growth and development.- Collaborative and supportive work environment.

Roles & Responsibilities : - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. Desired Qualifications and Experience : - At Least 1 year of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Extensive knowledge and practical experience in one or more of the following areas : machine learning, deep learning, NLP, recommendation systems, information retrieval. - Experience applying ML to solve complex business problems from scratch. - Experience with Python and a deep learning framework like Pytorch/Tensorflow. - Awareness of the state of the art research in the NLP community. - Excellent verbal and written communication and presentation skills.

Job Title : AI Engineer Azure AI. Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Greetings, We are hiring for Senior Data Scientist in Bengaluru. As a Senior Data Scientist, you will focus on developing and implementing advanced data science and machine learning models to support our clients business needs. This role emphasizes hands-on technical work and collaboration with other data scientists and engineers, while working independently toward defined goals . You will play a key role in creating data solutions while contributing to our collective knowledge and innovation efforts. Key Responsibilities Data Science & Model Development: Data Preparation & Feature Engineering: Model Evaluation and Tuning: NLP & Advanced Frameworks: Collaboration & Communication: API Development & Integration: Continuous Learning & Improvement: Required Candidate Profile Qualification : Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, Statistics etc.). Experience : 3+ years of experience in data science and machine learning. Programming & Tools : Proficient in Python, Git, and coding IDEs like VS Code or PyCharm. Machine Learning & Deep Learning : Strong knowledge of traditional machine learning algorithms, deep learning, and advanced hyper-parameter tuning. NLP : Proficiency with NLP techniques and experience with NLP projects on production. LLM Finetuning and Quantization Experience with Edge Deployment MLOps & Deployment : Experience with MLOps basics, containerization tools (Docker, Kubernetes), and cloud platforms (AWS, Azure, Google Cloud). To Discuss further on the role kindly reach out to our expert HR's *Ayushi 8602279217 Warm Regards, Prajit Grover HR TEAM KVC CONSULTANTS LTD.

Capgemini is hiring for Kore. AI Senior Developer across Pan India locations Experience range- 6 to 13 years Primary Skills: Kore.ai Chatbot NLP & Machine Learning Java, Python OR JavaScript Secondary Skills: Prior experience in leading chatbot development projects is a plus. Excellent problem-solving skills. Ability to work independently As a Kore.ai Developer, you will be responsible for designing, developing, implementing, and maintaining chatbots and virtual assistants using the Kore.ai platform. Design, develop, and deploy chatbots and virtual assistants using the Kore.ai platform. Collaborate with stakeholders to gather requirements and define project objectives. Customize and configure Kore.ai bots to meet specific business needs and integration requirements. Integrate chatbots with various third-party applications and systems using APIs. Implement natural language processing (NLP) and machine learning algorithms to enhance bot capabilities and for conversational AI. Proficiency in programming languages such as Java, Python, or JavaScript. Extensive knowledge of the Kore.ai platform and its features, including bot development, customization, and integration capabilities. Test and debug chatbots to ensure optimal performance and user experience. Monitor and maintain deployed chatbots, troubleshoot issues, and perform necessary updates and enhancements. Stay updated on industry trends and best practices in conversational AI and apply them to improve existing solutions.

Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with AWS, Azure for deploying AI solutions.- NLP techniques and tools.design and implement scalable AI applications.