12 Aiml Libraries Jobs

As a Backend Engineer at our forward-thinking tech company, you will have the exciting opportunity to collaborate with international clients in the development of scalable digital solutions. We are expanding our backend team and seek a skilled professional proficient in Node.js and Python, with a keen interest in modern AI technologies for integration into real-world applications. Your primary responsibilities will involve designing, building, and maintaining robust backend systems and APIs to ensure scalability. You will work on AI-powered features like data processing, model integration, and ML pipelines. Collaboration with frontend developers is essential to achieve seamless integration and enhance user experience. Additionally, optimizing backend performance, scalability, and reliability across services will be a key focus. In this role, you will also be expected to troubleshoot and resolve complex backend issues efficiently, conduct code reviews, and mentor junior team members. Staying updated on the latest backend and AI technology trends is crucial to bring innovation to the team and projects. To excel in this position, you should possess strong programming skills in Node.js and Python, along with a solid understanding of API design, microservices, and cloud architecture (AWS/Azure/GCP). Experience with AI/ML libraries like TensorFlow, PyTorch, OpenAI, or Hugging Face will be advantageous. Familiarity with integrating third-party AI tools, APIs, and building custom AI features is desirable. Deep knowledge of performance tuning, caching strategies, and database design is essential for success in this role. We are looking for individuals with excellent problem-solving abilities, a keen attention to detail, and effective communication and team collaboration skills. In return, we offer you the opportunity to work with a global client base on AI-driven projects, upskill in AI and backend advancements, and be part of a collaborative team that values innovation and high-quality code. This is a full-time position based on an in-person work location. Join us in shaping the future of digital solutions through AI technologies and backend engineering.,

Wipro Limited is a leading technology services and consulting company with a focus on developing innovative solutions to meet the complex digital transformation needs of clients. With over 230,000 employees and business partners across 65 countries, Wipro aims to help clients achieve their boldest ambitions and build sustainable businesses. The company is dedicated to helping customers, colleagues, and communities thrive in an ever-changing world. The ideal candidate for this role should have a minimum of 4 years of experience in Artificial Intelligence and Machine Learning. The position is open for candidates across Pan India. Key Requirements: - Deep understanding of AI and machine learning algorithms, including large language models (LLMs) such as Azure OpenAI and Mystral - Proficiency in deploying LLM on On-Prem or local Server - Familiarity with cloud platforms like Azure for deploying AI solutions and utilizing existing AI capabilities - Strong coding skills in Python, with expertise in Fast API, Flask API, and integration of APIs from third-party tools - Proficiency in UI development using Angular, Streamlit, HTML, CSS, and JavaScript - Expertise in TensorFlow, PyTorch, and other AI/ML libraries for model fine-tuning - Understanding of data flow diagrams and data security at rest and in motion - Ability to design and implement scalable AI solutions tailored to business needs - Designing hardware and software requirements for deploying AI solutions for On-Prem or Cloud - Good understanding of Multi-Factor Authentication Preferred Skills: - Integration with platforms like Gemini and knowledge of Agentic AI and Agentic RAG - Proficiency in cloud platforms like AWS, Google Cloud for deploying AI solutions - Integration with monitoring tools such as SolarWinds, Splunk, and NewRelic - Collaboration with teams to analyze business data and ensure data security and compliance - Cost estimation for deploying GenAI solutions on Cloud Platform Wipro is on a mission to reinvent the digital landscape and transform the way businesses operate. If you are passionate about continuous learning and evolution, Wipro provides a dynamic environment for you to grow your career and skills. Join us and be part of a purpose-driven organization that encourages reinvention and innovation. Applications from individuals with disabilities are encouraged and welcomed at Wipro.,

As a Python Solution Architect with over 10 years of experience, you will play a crucial role in designing and implementing scalable, high-performance software solutions that align with business requirements. Your expertise in Python frameworks (e.g., Django, Flask, FastAPI) will be instrumental in architecting efficient applications and microservices architectures. Your responsibilities will include collaborating with cross-functional teams to define architecture, best practices, and oversee the development process. You will be tasked with ensuring that Python solutions meet business goals, align with enterprise architecture, and adhere to security best practices (e.g., OWASP, cryptography). Additionally, your role will involve designing and managing RESTful APIs, optimizing database interactions, and integrating Python solutions seamlessly with third-party services and external systems. Your proficiency in cloud environments (AWS, GCP, Azure) will be essential for architecting solutions and implementing CI/CD pipelines for Python projects. You will provide guidance to Python developers on architectural decisions, design patterns, and code quality, while also mentoring teams on best practices for writing clean, maintainable, and efficient code. Preferred skills for this role include deep knowledge of Python frameworks, proficiency in asynchronous programming, experience with microservices-based architectures, and familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Your understanding of relational and NoSQL databases, RESTful APIs, cloud services, CI/CD pipelines, and Infrastructure-as-Code tools will be crucial for success in this position. In addition, your experience with security tools and practices, encryption, authentication, data protection standards, and working in Agile environments will be valuable assets. Your ability to communicate complex technical concepts to non-technical stakeholders and ensure solutions address both functional and non-functional requirements will be key to delivering successful projects.,

You will be working as an AI Applications Engineer for a UAE-based company on a work-from-home basis. Your primary responsibility will be to design, develop, and optimize AI solutions using large language models and multi-agent systems to address real-world business challenges. Your key responsibilities will include developing AI applications utilizing large language models (LLMs), managing AI agent systems with the CrewAI framework, fine-tuning language models for specific use cases, and building robust APIs and backend services using Python and FastAPI. Collaboration with cross-functional teams to integrate AI solutions, optimizing model performance, researching new AI technologies, and documenting AI workflows will also be part of your role. To excel in this position, you should have a strong proficiency in Python programming, hands-on experience with large language models, familiarity with model fine-tuning techniques, and knowledge of AI agent systems like the CrewAI framework. Understanding machine learning workflows, API development, backend services, problem-solving skills, and working knowledge of AI/ML libraries and frameworks are essential requirements. Additionally, experience with FastAPI, Docker containerization, prompt engineering, vector databases, MLOps practices, cloud platforms (AWS, GCP, Azure), and other AI agent frameworks will be advantageous for this role. If you are a talented AI Applications Engineer with the required skills and expertise, this opportunity to work with cutting-edge AI-powered applications at a UAE-based company could be the next step in your career growth.,

We are looking for a highly skilled and innovative Test Engineer with a strong focus on Artificial Intelligence and Machine Learning to join our team. You will play a key role in ensuring the quality, reliability, and performance of our cutting-edge AI/ML products and solutions. Your expertise with AI tools, Large Language Models, Computer Vision Models, and Generative AI Techniques will be essential in designing and implementing comprehensive testing strategies. This position offers a unique opportunity to work at the forefront of AI technology and contribute to high-impact developments. Your responsibilities will include: - Designing, developing, and executing comprehensive test plans and test cases for evaluating AI/ML model performance. - Conducting evaluations of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems using innovative methodologies. - Assessing the quality of retrieved information and detecting potential issues in RAG systems. - Evaluating the performance of computer vision models using relevant metrics. - Architecting and implementing robust evaluation frameworks and metrics for assessing AI model performance. - Developing custom evaluation scripts and tools using Python and relevant AI/ML libraries. - Implementing Generative AI-driven solutions to enhance testing processes. - Designing and maintaining automated test scripts to streamline testing of AI-powered features. - Integrating AI-driven test automation into CI/CD pipelines for continuous quality assurance. Qualifications: - Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field. - 3+ years of experience as a Test Engineer with a focus on testing AI/ML models. - Hands-on experience evaluating Large Language Models, RAG systems, and computer vision models. - Strong background in designing evaluation frameworks for AI model performance. - Proficiency in Python and AI/ML libraries for test script development. - Experience with test automation frameworks and CI/CD implementation. - Knowledge of test and defect management tools. - Familiarity with Agile development environments. - Relevant certifications in AI/ML or software testing. If you are passionate about AI technology and have the required expertise, we invite you to join our team and make a significant impact on our AI/ML testing processes.,

As an AI Developer specializing in Large Language Models (LLMs) at RMgX, a Gurgaon based digital product innovation & consulting firm, your role involves designing, developing, and deploying AI solutions using LLMs such as GPT, LLaMA, Claude, or Mistral. You will fine-tune and customize pre-trained LLMs for business-specific use cases, build and maintain NLP pipelines for classification, summarization, semantic search, etc., and create and manage vector database pipelines using tools like Milvus and Pinecone. Collaboration with cross-functional teams to integrate LLM-based features into applications and analyzing model performance to enhance outcomes will be key responsibilities. To excel in this role, you should have at least 12 years of experience in AI/ML development with a specific focus on NLP and LLM-based solutions. Proficiency in Python and AI/ML libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc., is essential. Additionally, practical experience in working with closed-source models via APIs (e.g., OpenAI, Gemini), understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus, or Pinecone, and deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) are required. Familiarity with MLOps and version control tools (Git, MLflow, etc.), as well as knowledge of LLMOps platforms like LangSmith, Weights & Biases, will be advantageous. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred. Strong problem-solving skills, attention to detail, and the ability to work in an agile environment are crucial for success in this role. In return for your expertise and dedication, RMgX offers various perks and benefits, including flexible working hours, weekends off, health insurance, personal accident insurance, BYOD (Bring Your Own Device) benefit, and a laptop buyback scheme. Join us at RMgX to contribute to the creation of elegant, data-driven digital solutions for complex business problems and make a meaningful impact through your AI development skills.,

The selected candidate will be working for our Indian JV - D2AI Labs in Bangalore/Chennai/Remote. Key Responsibilities: Lead Agent Development: Architect, build, and deploy the central interface agent that connects and coordinates specialized AI agents. Agent Orchestration: Implement reliable communication, delegation, and data-handling mechanisms between agents. LLM Integration: Fine-tune and integrate LLMs (Azure OpenAI or similar), utilizing advanced prompt engineering techniques. MLOps Implementation: Maintain robust MLOps pipelines, CI/CD workflows, and performance monitoring on Azure. Vector Database Management: Design data pipelines using vector databases like Pinecone, Qdrant, or Milvus for RAG and agent memory. A2A Communication & MCP: Enable advanced agent-to-agent communication using established protocols like MCP/MCPTx. Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions. Optimize AI models for performance, scalability, and accuracy. Conduct thorough testing, evaluation, and documentation of models and systems. Stay up to date with the latest advancements in AI, particularly in the Generative AI space. Qualifications & Skills: Proven experience in LLM model development (e.g., OpenAI, GPT, BERT, etc.). Hands-on experience in building GenAI agents and conversational workflows. Strong Python programming skills with a focus on AI/ML libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Proven experience building or orchestrating multi-agent systems using frameworks like LangGraph. Prior work experience in the Telecom industry with a clear understanding of domain-specific challenges.,

At EY, you will have the opportunity to shape a career tailored to your unique qualities, supported by a global network, inclusive environment, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to the continuous improvement of EY. Join us in creating an exceptional journey for yourself and in making a positive impact on the working world for all. As an AI and Full Stack Technical Lead, you are required to have 4-7 years of experience in application development, with a minimum of 3 years focused on designing and implementing modular and reusable code using ReactJs. Your expertise should include strong proficiency in React JS, Node JS, and Express JS, along with knowledge in Redux/Flux, RxJS, HTML, CSS, JavaScript, AJAX, and JSON. You are expected to be well-versed in UI development concepts, web application architecture principles, design patterns, and front-end web technologies. In addition to technical skills, you should possess hands-on experience in Sass & CSS Frameworks, Rest API knowledge, core Python concepts, API integration, data processing using libraries such as pandas and NumPy, and familiarity with AI/ML libraries like scikit-learn and transformers. Experience in writing unit and integration test cases, agile methodologies, responsive UI development, and proficiency in tools like Visual Studio, TFS, VSTS, and GIT are essential. Soft skills play a crucial role in this role, with emphasis on excellent communication, teamwork, self-motivation, ability to thrive in high-pressure situations, strong presentation skills, and collaboration with globally distributed teams. Your responsibilities will include understanding existing application architecture, developing engaging and accessible UI applications, collaborating with cross-functional teams in an agile environment, respecting UX principles, contributing to all phases of development, mentoring junior developers, establishing best practices, and staying updated on the latest technologies relevant to EY's business needs. EY is dedicated to building a better working world by delivering long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through the expertise of diverse teams across 150 countries. By leveraging data and technology, EY professionals in assurance, consulting, law, strategy, tax, and transactions strive to ask better questions and provide innovative solutions to address the complex challenges of today's world.,

At EY, you will have the opportunity to shape a career that is as unique as you are. With our global reach, support, inclusive culture, and cutting-edge technology, you will have the resources to become the best version of yourself. Your distinctive voice and perspective are crucial in helping EY enhance its services. Join us in creating an exceptional experience for yourself and contributing to a better working world for all. As an AI and Full Stack Technical Lead, you will need the following skills: - 4-7 years of application development experience, with a minimum of 3 years focused on designing and writing modular code using ReactJs. - Strong expertise in React JS, Node JS, and Express JS. - Proficiency in Redux/Flux, RxJS, HTML, CSS, JavaScript, AJAX, and JSON. - In-depth knowledge of web application architecture, design patterns, and front-end technologies. - Understanding of browser, UI framework, and JavaScript engine internals. - Hands-on experience with Sass, CSS Frameworks (e.g., Bootstrap, Material), and REST API. - Proficiency in Core Python, API Integration, Data Processing, and AI/ML Libraries. - Experience in writing unit and integration test cases, working in agile methodologies, and building responsive UIs. - Familiarity with tools like Visual Studio, TFS, VSTS, and GIT. - Knowledge in Azure and devOps pipelines is a plus. Soft Skills required for this role include: - Excellent Communication Skills - Team Player - Self-starter and highly motivated - Ability to handle high-pressure situations - Excellent presentation skills - Collaboration with globally distributed teams Key Responsibilities of the role include: - Understanding existing application architecture and solution design. - Developing engaging, usable, and accessible UI applications/components for the web. - Collaborating with architects, leads, and team members in an agile scrum environment. - Prioritizing UX and building excellent UIs. - Contributing to all phases of the development lifecycle. - Mentoring junior and mid-level developers. - Reviewing code, establishing best practices, and staying updated with the latest technologies. At EY, we are dedicated to building a better working world by creating long-term value for clients, people, and society. Our diverse teams across 150 countries leverage data and technology to provide trust through assurance and support clients in their growth, transformation, and operations across various sectors. By asking better questions and finding innovative solutions, EY teams tackle the complex issues of today's world.,

As a seasoned Artificial Intelligence and Machine Learning professional with over 6 years of experience, you will be responsible for leveraging your deep understanding of AI and machine learning algorithms, including large language models (LLMs) like Azure OpenAI and Mystral. Your proficiency in deploying LLM on On-Prem or local Server will be crucial in this role. In this position, it is mandatory for you to have a strong grasp of cloud platforms such as Azure for deploying AI solutions and utilizing existing AI capabilities of the cloud platform. Additionally, familiarity with Azure Container Registry, Azure Container Instance, and App Services will be essential. Your programming skills should include strong coding abilities in languages like Python, as well as experience in Fast API, Flask API creation, and integration of APIs from third-party tools such as SNOW and Sharepoint. Proficiency in UI development using Angular, Streamlit, HTML, CSS, and JavaScript will also be required. Expertise in TensorFlow, PyTorch, and other relevant AI/ML libraries to fine-tune models is a must-have for this role. Moreover, familiarity with monitoring tools like Solarwinds, Splunk, and NewRelic will be advantageous. As part of the Data Engineering aspect, you will need to create data flow diagrams and ensure data security at rest and in motion. Collaborating with the team to analyze business data, implement solutions, and ensure data security and compliance will also be part of your responsibilities. In terms of Solution Architecture, you should demonstrate the ability to design and implement scalable AI solutions tailored to business needs. This includes architecture, design development, and walkthroughs with customers. You will also be involved in designing hardware and software requirements to deploy AI solutions for On-Prem or Cloud environments. A good understanding of Multi-factor Authentication is essential for this role. Additionally, the ability to estimate costs for deploying AI solutions on Cloud Platforms will be beneficial. At Wipro, we are reinventing the future of technology. Join us in building a modern Wipro where constant evolution is encouraged. We are looking for individuals who are inspired by reinvention and are eager to realize their ambitions in a purpose-driven environment. If you are ready to design your own reinvention and be part of a business that values diversity and inclusivity, Wipro is the place for you. Applications from individuals with disabilities are encouraged and welcome.,

As a Data Scientist specializing in Conversational AI and Generative AI, you will play a crucial role in driving forward our AI initiatives. Your main focus will involve developing and optimizing intelligent conversational systems by leveraging advanced techniques, particularly Large Language Models (LLMs) from OpenAI. Your responsibilities will include designing and implementing Conversational AI solutions that utilize Generative AI and OpenAI models. You will fine-tune LLMs to improve their performance in conversational settings, analyze large datasets to extract insights for enhancing models, collaborate with cross-functional teams to incorporate AI solutions into products and services, conduct experiments to assess the efficacy of AI implementations, and keep abreast of the latest advancements in AI research and technology. To excel in this role, you should possess at least 4 years of experience in data science, machine learning, or a related field. A strong grasp of Conversational AI and Generative AI, along with hands-on experience with OpenAI technologies, is essential. Proficiency in natural language processing (NLP) techniques and frameworks, familiarity with CI/CD pipelines, Git, and prompt engineering, robust programming skills in Python, and knowledge of AI/ML libraries are also required. Familiarity with cloud platforms such as AWS, GCP, or Azure would be advantageous. Additionally, you should demonstrate excellent analytical and problem-solving abilities, strong communication skills for effectively presenting findings to technical and non-technical audiences, and the capability to work autonomously while efficiently managing multiple projects. If you are passionate about pushing the boundaries of AI technology and have a proven track record in data science and AI development, we encourage you to apply and be a part of our dynamic team.,

Key Responsibilities Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval- Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experiencng implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non- technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning