861 Nlp Jobs - Page 14

As a Senior Applied Researcher at Genloop, you will lead cutting-edge work in small language model (SLM) training, LLM customization, and domain adaptation. We believe that domain intelligence is crucial to bring GenAI into enterprise production, especially in cases where a 1-year employee outperforms a 1st-day hire significantly. Your responsibilities will include designing and conducting experiments, customizing LLMs for specific enterprise domains, evaluating model performance, collaborating with engineering and product teams, contributing to research documentation and open-source releases, and staying updated on LLM architectures and pretraining objectives. Additionally, you will mentor junior researchers and provide guidance to the broader team based on insights from the frontier. To qualify for this role, you should have at least 5 years of experience in ML research or applied deep learning, with a focus on NLP, foundation models, or multi-modal systems. A deep understanding of transformers, language modeling, and sequence generation is required, along with hands-on experience in pretraining, SFT, RLHF, and efficient fine-tuning methods. Strong publications or open-source contributions would be advantageous. Graduation from a Tier 1 institution or demonstrating exceptional skills are preferred. Genloop is a research-first AI company that specializes in building customized, continuously learning AI systems. Our team comprises researchers and engineers from prestigious institutions and tech companies, working on models with real-world, production-grade impact. In terms of compensation and benefits, we offer a competitive salary, meaningful startup equity, and industry-leading benefits. The exact compensation will be based on your experience, expertise, and location. Genloop is an Equal Opportunity Employer that values diversity and is dedicated to creating an inclusive and respectful workplace for all.,

As an AI/ML/NLP Developer with at least 3 years of experience, you will be responsible for designing, developing, and optimizing machine learning models tailored specifically for Natural Language Processing (NLP) and Optical Character Recognition (OCR) applications. Your role will involve building and maintaining a diverse range of classification and regression models using libraries like Scikit-learn and other relevant machine learning frameworks. You will also be utilizing deep learning architectures, such as Convolutional Neural Networks (CNN), Region-based Convolutional Neural Networks (R-CNN), and Long Short-Term Memory networks (LSTM), to create advanced AI models. Moreover, you will work extensively with NLP libraries like SpaCy, NLTK, and Transformers, focusing on tasks like language modeling, text processing, and information extraction. Your proficiency in Python programming is crucial, along with deep practical experience in core Python libraries for data science including NumPy, Scikit-learn, and Pandas. A solid foundational understanding of Machine Learning principles and techniques, encompassing supervised and unsupervised learning methodologies, as well as regression, is essential for this role. Preferred qualifications include experience with major cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure for deploying machine learning models and applications. Exposure to MLOps practices and automated model deployment will be an added advantage. Join smartData, a global leader in software business consulting and technology integrations, dedicated to simplifying and securing business operations for start-ups and small to medium enterprises. With over 20 years of experience and 8000+ projects, smartData offers domain and technology consulting, in-house products, and unique productized services that act as business integrators, accelerating time to market for customers. Operating from the US, Australia, and India, smartData ensures continuous business growth for its clients through round-the-clock connectivity and next-door assistance. Specializing in healthcare, B2B, B2C, B2B2C platforms, online delivery services, video platform services, and IT services, smartData leverages expertise in Microsoft, LAMP stack, MEAN/MERN stack, and a mobility-first approach to meet customer needs efficiently. By integrating AI & ML technologies with mobility stacks, such as native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, Phone Gap), smartData delivers ongoing solutions tailored to customer requirements.,

As an AI Developer, you will be responsible for designing and developing AI/ML models to enhance natural language understanding, intelligent automation, and real-time decision-making through the implementation of NLP, LLMs, and RAG techniques. Your primary focus will involve collaborating with cross-functional teams to seamlessly integrate AI models into various platforms, ensuring scalability, accuracy, and efficiency. In this role, you will actively support training and development programs across India, which may require traveling to client locations, academic institutions, and partner sites as necessary. Additionally, you will be tasked with continuously testing, refining, and documenting AI systems utilizing tools such as Python, TensorFlow, Hugging Face, and cloud services. Furthermore, you will engage in knowledge sharing initiatives, conduct technical workshops, and deliver on-site demos to showcase AI solutions and drive their adoption within the organization. This role is a full-time position with a day shift schedule and requires a Bachelor's degree as the preferred educational qualification. To be successful in this position, you should have a total of 1 year of experience, with specific expertise as an AI Developer for at least 1 year. The work location for this role is in person. In addition to a competitive salary, the benefits package includes cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund contributions.,

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. This role demands a solid understanding and hands-on skills in GenAI application deployment, encompassing development and engineering skills. You will need to possess expertise in data ingestion, selecting the appropriate LLMs, implementing simple and advanced RAG, guardrails, prompt engineering for optimization, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on-premise. It is essential for candidates to demonstrate knowledge of agentic AI frameworks due to the rapid evolution of this space. Strong background in ML with engineering skills is highly preferred for the LLMOps role. You should have 3 - 5 years of experience working on ML projects, involving business requirement gathering, model development, training, deployment at scale, and monitoring model performance for production use cases. Proficiency in Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) is crucial. Experience with proprietary and open-source large language models, LLM fine-tuning, creating distilled models from hosted LLMs, and building data pipelines for model training is required. You should also have experience in model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability. Prior experience in GenAI application deployment on cloud and on-premises at scale for production, creating CI/CD pipelines, working with Kubernetes, and deploying AI services on at least one cloud platform such as AWS, GCP, or Azure is necessary. Proficiency in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen, and light-weight UI development using streamlit or chainlit (optional) is beneficial. Desired experience with open-source tools for ML development, deployment, observability, and integration is an added advantage. A background in DevOps and MLOps will be a plus. You should be familiar with collaborative code versioning tools like GitHub/GitLab and possess excellent communication and presentation skills. A degree in Computer Science, related technical field, or equivalent is required. If you are someone who thrives in a dynamic environment and enjoys collaborating with enthusiastic individuals, this opportunity is perfect for you.,

At EG, we are dedicated to developing industry-specific software solutions for our customers, allowing them to focus on their profession while we handle the technology aspect. Our team, consisting of industry peers and backed by the stability and innovation of EG, is committed to tackling significant challenges such as resource efficiency and sustainability. With a global workforce of over 3000 employees, including a team of 850+ based in Mangaluru, India, we prioritize a people-first culture that encourages innovation, collaboration, and continuous learning. Join our COE Team, working at the forefront of AI innovation, where we shape AI-powered digital transformation across various business domains. As a Senior Data Scientist with at least 7 years of experience, you will have the opportunity to be part of a core team designing and delivering end-to-end AI solutions that directly impact products across multiple industries. You will have the autonomy to bring your innovations to life while collaborating with exceptional minds in the field. Responsibilities: - Design scalable AI architectures including Traditional AI, GenAI, and Agentic AI - Build AI use cases deployed across hybrid environments such as on-premises infrastructure, Azure, and AWS cloud ecosystems - Enable business units to adopt and maintain AI solutions - Conduct feasibility studies and define technology roadmaps for AI initiatives - Support integration of AI accelerators into existing business applications Your role will involve engaging with product/business teams to translate requirements into AI/ML solutions, leading feasibility analysis, designing solution architectures, and developing, training, and evaluating AI/ML models for various business use cases. You will collaborate with cross-functional teams to deploy end-to-end data pipelines and AI solutions using cloud platforms like Azure and AWS. Additionally, you will evangelize AI best practices, drive adoption of emerging AI technologies, and provide mentorship and training to upskill Business Unit teams and junior data scientists. Required Skills: - Bachelor's in Computer Science and Engineering or related field; advanced degree preferred - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, and related technologies - Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Keras), NLP, and applied AI - Full-stack engineering exposure with backend in Python and experience in building scalable applications using Azure and AWS - Understanding of OOP/OOD, data structures, design patterns, and Agile/DevSecOps methodologies - Experience with visualization tools like Power BI, Streamlit, etc., and excellent interpersonal and communication skills Join us at EG for a professional, innovative environment where you can work on real-world problems and large-scale AI solutions alongside talented colleagues. We offer flexibility, ownership of ideas, extensive opportunities for personal and professional growth, and a strong focus on employee well-being, inclusion, and benefits.,

As an AI & Data Science Engineer Fresher at Twite AI Technologies, you will have the opportunity to work in the vibrant city of Chennai, either in a hybrid or on-site capacity. Twite AI Technologies is a rapidly expanding AI-powered solutions provider that collaborates with leading multinational corporations in India and globally. Our focus lies in developing cutting-edge AI bots and automation tools, leveraging Natural Language Processing, Machine Learning, and Deep Learning technologies. In this role, you will be an integral part of our team, contributing to the creation, training, and deployment of intelligent bots tailored for various industries. Your responsibilities will include assisting in the development of AI-powered chatbots and automation tools, working on data preprocessing, model training, and performance optimization, collaborating with senior AI engineers on scalable ML/NLP solutions, implementing AI algorithms for bot logic, and testing and debugging bots for real-world applications. To qualify for this position, you should hold a degree in B.E./B.Tech./M.E./M.Tech./M.Sc in CSE, IT, AI, Data Science, or related fields, with a preference for 2024 or 2025 pass-outs. Proficiency in Python, ML algorithms, and basic NLP concepts is essential, and any academic or project experience in AI/ML would be advantageous. Strong analytical thinking skills and a keen interest in learning about cutting-edge AI tools are highly valued. Desirable skills include knowledge of tools such as TensorFlow, PyTorch, OpenAI, Hugging Face, familiarity with chatbot frameworks or LLMs like Rasa, Langchain, OpenAI GPT, and basic understanding of REST APIs, version control (Git), and cloud platforms. At Twite AI Technologies, we offer you exposure to real-world AI projects and product development, mentorship from industry experts, an innovative and fast-paced work environment, and the chance to contribute to impactful AI products. This is a full-time position with benefits including health insurance and Provident Fund, based in Chennai, with an expected start date of 21/07/2025. Join us at Twite AI Technologies and be part of our dynamic team driving the future of AI innovation!,

We are seeking a Computational Linguist with exceptional analytical capabilities, a solid foundation in linguistics, and extensive expertise in language technology to contribute to the enhancement and development of language products. As a Computational Linguist, your primary responsibility will involve collaborating closely with engineers, researchers, and language experts. Key Requirements: - Educational background in natural language processing, computational linguistics (CL), linguistics, or related disciplines at the Bachelors/Masters/PhD level. - Minimum of 2 years of hands-on experience in the industry. - Profound comprehension of English grammar and style. - Demonstrated passion for problem-solving and a relentless drive to explore innovative solutions. - Prior experience in Natural Language Processing (NLP) and Computational Linguistics (CL). - Familiarity with Deep Learning (DL) and Machine Learning (ML). - Proficiency in programming languages such as Java, C, C++, or Python. - Desirable to have authored publications in reputable NLP or AI conferences. If you are enthusiastic about this opportunity, please send us an email at hr@crimsoni.ai.,

You will be responsible for leveraging GenAI models and frameworks to build applications and optimize AI solutions for clients. As the primary technical expert in GenAI technologies, you will focus on enhancing the GenAI footprint by developing and implementing advanced AI models. Your role will involve defining best practices, conducting workshops and demos, collaborating with cross-functional teams, and integrating emerging GenAI technologies for improving conversational AI capabilities. Additionally, you will provide technical leadership, mentorship, and guidance to teams, troubleshoot platform integration issues, and independently build prototypes to demonstrate to key decision-makers. To excel in this position, you should have at least 10 years of IT experience, with 3-4 years specifically in AI/Gen AI technologies such as OpenAI, Anthropic, or Hugging Face. Proficiency in NLP, NLU, NLQ, NLG technologies, and core Python expertise for building enterprise-scale applications are essential. You must have delivered production-grade projects on agentic AI frameworks, hands-on experience with frameworks like Autogen, Langraph, or Crew.AI, and expertise in NLQ to SQL-based GenAI applications using Python tools. Experience with cloud platforms like Microsoft Azure, AWS, or GCP, API integrations, and programming skills in Python, Node.js, or Java are also required. Moreover, you should possess strong problem-solving skills, solution architecture capabilities, and client-facing communication abilities to translate business requirements into technical solutions effectively. The ability to manage multiple projects in a fast-paced environment and experience working with cloud platforms will be beneficial. Additionally, expertise in building technical proposals, fast PoVs, and blueprints on new GenAI models and tools are desired for this role.,

As a Data Scientist specializing in AI/ML & GenAI, you will be responsible for utilizing your expertise in machine learning, deep learning, NLP, and generative AI (LLMs) to develop, deploy, and maintain end-to-end AI solutions. Your role will involve collaborating closely with both business and technical teams to drive data-informed decisions and optimize business outcomes. Your key responsibilities will include extracting, processing, and validating both structured and unstructured data, as well as building and deploying ML/DL models, including LLMs and GenAI applications. You will be expected to develop scalable and reproducible model training and deployment pipelines, translate business problems into analytical solutions, and design data visualizations and dashboards for clear insight delivery. Collaboration with engineering, product, and design teams, as well as the implementation of agile practices for timely delivery of data products, will also be crucial aspects of your role. Additionally, you will be responsible for ensuring model performance, scalability, and adaptability. To excel in this role, you should have experience with ML/DL frameworks such as scikit-learn, TensorFlow, PyTorch, and Hugging Face. Proficiency in GenAI, specifically LLMs and generative AI frameworks, as well as expertise in NLP tasks like text classification, summarization, and language modeling, will be essential. Familiarity with tools like Git, Docker, APIs, and cloud platforms (AWS/GCP/Azure) is also required. Furthermore, soft skills such as analytical thinking, business intuition, storytelling, and cross-team communication will be beneficial in this position. If you are a candidate with a notice period of a maximum of 1 month or available for immediate joining, we encourage you to apply for this full-time position. Please note that the work location is in person.,

66degrees is a leading consulting and professional services company that specializes in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With unmatched engineering capabilities and vast industry experience, we assist the world's leading brands in transforming their business challenges into opportunities and shaping the future of work. At 66degrees, we believe in embracing challenges and achieving success together. These values not only guide us in achieving our company goals but also extend to our people. We are committed to making a significant impact on our employees by fostering a culture that encourages innovation and supports professional and personal growth. We are currently looking for a highly skilled and collaborative Conversational Engineer (Remote Contract 4 months with potential for extension). As a Conversational Engineer, you will be responsible for conducting in-depth technical analysis and effective communication with others. Our ideal candidate excels in focusing on user experience and constructing complex virtual agents for our clients. This is a full-time remote contract role requiring 45 hours per week, and we are looking for a candidate who can join as soon as possible. **Key Requirements:** - Experience with Playbooks & GenAI. **Responsibilities:** - Lead discovery workshops to capture business requirements, success criteria, and constraints in order to understand and prioritize virtual agent requirements. - Develop conversational agents that are engaging, user-friendly, and efficient. - Present conversational agents in Dialogflow CX to customers and address QA issues, feedback, and troubleshooting. - Utilize all components of Dialogflow CX to creatively solve problems, including generators, data stores, and generative fallback. - Collaborate closely with product, development, and engineering teams to validate design solutions and participate in iterative product enhancement cycles. - Generate new concepts, wireframes, mockups, and prototypes based on internal requirements and creative briefs. - Establish visual and interactive standards documentation and ensure that designs align with the technical specifications of the product or application. - Stay informed about industry trends and incorporate this knowledge into your work regularly. **Qualifications:** - 2+ years of experience in building virtual agent solutions, preferably in Dialogflow CX. - Experience in bringing a virtual agent to market or working on a deployed virtual agent, either externally for customers or internally for company associates. - Profound understanding of NLP, NLU, and the complexities of creating and maintaining robust models, intents, and entities. - Strong grasp of the significance of data in the virtual agent continuous improvement lifecycle. - Proficiency in programming languages such as Java or Python to transfer data between source systems for use in virtual agent flows. - Previous experience with user dashboards or analytical applications is advantageous (e.g., Looker, Tableau, Power BI). - Excellent communication and interpersonal skills. - Up-to-date knowledge of web and mobile trends, technology, interface design, and usability standards. - Demonstrated conceptual skills and the ability to create rapid wireframes, mockups, and prototypes effectively.,

As a Software Engineer - Python Lead in our Noida team, you will play a key role in designing, developing, and maintaining web applications using Python and Django framework. Your expertise in REST API integration and GraphQL services will be crucial for efficient data exchange. Collaborating with the data science team, you will work on Machine Learning concepts, NLP, and Large Language Models (LLMs), utilizing libraries like Pandas, NumPy, and Scikit-learn. You will also be responsible for managing databases using PostgreSQL and ensuring smooth asynchronous communication with message-brokering systems like RabbitMQ. Troubleshooting, debugging, and optimizing code for performance improvements will be part of your daily tasks. We are seeking a candidate with a Bachelor's degree in Computer Science, Engineering, or a related field, along with 2 to 4 years of professional experience in Python software development. Your proven experience with Django, REST API integration, and GraphQL, coupled with exposure to Machine Learning, NLP, and AI-related technologies, will be highly valuable. Strong problem-solving skills, excellent communication abilities, attention to detail, and a collaborative team spirit are qualities we are looking for in our ideal candidate. If you are passionate about working with cutting-edge technologies and contributing to innovative projects, while ensuring high performance and scalability in your code, we encourage you to apply. An attractive salary package with health insurance, paid sick time, and Provident Fund benefits awaits the successful candidate. Join us in the morning shift at our Noida location and be part of our dynamic team driving technological advancements. Kindly share your resume with us at pooja@jmsadvisory.in to explore this exciting opportunity further.,

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Work Mode: Hybrid(3days WFO & 2 days WFH) Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management. Also need 1 month or less CTC candidates .

Position -- Permanent Role Senior AI Developer Experience 6+ Years Location Chennai/Bangalore Work Mode – WFO/Hybrid Shift Timing – Afternoon (2pm – 10pm) About the Role We are seeking a highly skilled and experienced AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with hands-on experience in designing and deploying AI solutions across various domains. You will work closely with data scientists, software engineers, and product teams to build intelligent systems that solve real-world problems. Key Responsibilities: Design, develop, and deploy AI/ML models for various business applications. Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions. Optimize and scale machine learning models for performance and accuracy. Integrate AI models into production systems using APIs and cloud platforms. Conduct research and stay updated with the latest advancements in AI and ML. Mentor junior developers and contribute to code reviews and best practices. Document processes, models, and workflows for internal and external stakeholders. Required Skills 6+ years of experience in AI/ML development. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Strong understanding of deep learning architectures (CNNs, RNNs, Transformers). Experience with NLP, computer vision, or recommendation systems. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills Experience with large language models (LLMs) and generative AI. Knowledge of data engineering and pipeline development. Publications or contributions to open-source AI projects. Pay range and compensation package Competitive salary based on experience and qualifications. Equal Opportunity Statement We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law. Qualification Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

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

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.

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.

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.

Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist AI/ML with GEN AI in Bangalore, Karnataka on 19th July [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope you are doing well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data ScientistAI/ML with GEN AI OR a GEN AI Specialist We are hosting an open walk -in drive in Bangalore, Karnataka, on 19th July [Saturday], 2025 , and we believe your skills in GenAI Specialist/Data Scientist – AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th July [Saturday] 2025 Experience: 5 to 20 years Time: 9.30 AM to 4 PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/Pune/Mumbai/Dehradun/Chennai/Coimbatore) Key Skills and Experience: As a GenAI Specialist—AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, LangChain, LlamaIndex, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist AI/ML with GEN AI in Bangalore, Karnataka on 19th July [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope you are doing well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data ScientistAI/ML with GEN AI OR a GEN AI Specialist We are hosting an open walk -in drive in Bangalore, Karnataka, on 19th July [Saturday], 2025 , and we believe your skills in GenAI Specialist/Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th July [Saturday] 2025 Experience: 5 to 20 years Time: 9.30 AM to 4 PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/Pune/Mumbai/Dehradun/Chennai/Coimbatore) Key Skills and Experience: As a GenAI Specialist—AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, LangChain, LlamaIndex, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Inviting applications for the role of Data Scientists with Computer vision experience! We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments. Key Responsibilities: Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance). Model Development: Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.). Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies. Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments. Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success. Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing. Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems. Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders. Required Qualifications: Masters or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field. 812+ years of industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision. Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc. Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc. Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure). Strong communication, leadership, and team collaboration skills. Preferred Qualifications: Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred. Experience deploying CV models within real-time environments. Contributions to open-source CV projects or published research. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Lead the development of CI/CD pipelines and standardize deployment frameworks. Strong Python programming skills. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training

Description - External Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Required Skills: Strong experience in AI/ML architecture and solution design. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with LLMs and generative AI (OpenAI, Azure OpenAI, LangChain, Hugging Face). Strong programming background in Python (FastAPI, Flask), and familiarity with Java/Node.js. Experience in cloud platforms (AWS/GCP/Azure) and ML toolkits (SageMaker, Azure ML, Vertex AI). Good understanding of microservices, REST APIs, GraphQL, and event-driven architecture. Knowledge of vector databases like Pinecone, FAISS, Chroma, or Weaviate. Proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools.

Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower level architects and business analysts Qualifications 8+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction Experience on text to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Perform statistical analysis of results and refine models Extend ML libraries and frameworks to apply in NLP tasks Experience on ORM, SQL Alchemy, Alembic is a must Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have Knowledge of NER, Knowledge graphs is good to have Education Qualification Master's Degree Masters Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director and be responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. Leveraging natural language processing (NLP), large language models (LLMs), and cloud-based AI tools, you will create chatbots to enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling, fine-tune GPT-based models, and integrate them with business applications. Additionally, you will optimize chatbot performance, deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, and integrate chatbots with databases, APIs, and enterprise applications such as Dynamics 365, Microsoft Teams, or custom apps. Ensuring chatbot security, compliance, and scalability in Azure cloud environments and monitoring chatbot analytics using Azure Monitor, Application Insights, and Power BI will also be part of your responsibilities. To be successful in this role, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP, proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,