78 Ai Development Jobs

Part Time Role (Evening Hours) 6-10 pm. 3-4 hrs work mon-fri Role Overview: We are seeking a Senior Generative AI Developer with expertise in building and deploying AI models. This role focuses on Generative AI, LLMs (e.g., GPT models), and the Retrieval-Augmented Generation (RAG) method. The ideal candidate will have hands-on experience with OpenAI APIs, prompt engineering, and full-stack development of AI-powered solutions. You will lead initiatives in building scalable AI-driven applications and collaborate with cross-functional teams to design, implement, and optimize these solutions for real-world use cases. Key Responsibilities: Lead the development of Generative AI applications using OpenAI models, LLMs, and RAG methods to enhance accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Required Skills: 5-10 years of experience in AI and machine learning development, with a focus on Generative AI and LLMs.Male candidates

You will be working in a leading player in the medical communications and knowledge management industry, with headquarters in Bangalore and presence in 5 locations outside India. As the ideal candidate, you will lead and manage the AI development team to deliver scalable and production-ready solutions. Your responsibilities will include conducting research to determine the best AI models, developing proofs of concept (PoCs), providing technical leadership, collaborating with stakeholders, driving recruitment and training, defining AI architecture and technical roadmap, owning end-to-end lifecycle of AI feature development, establishing MLOps practices, and ensuring compliance with data privacy regulations and ethical AI practices. Qualifications required for this role include a Bachelor's degree in Computer Science, Engineering, or Mathematics, 5+ years of relevant experience, advanced knowledge of leading architecture solutions, strong interpersonal and collaboration skills, and the ability to demonstrate technical concepts to non-technical audiences.,

Technical Delivery Manager with Gen AI experience (Asset and Wealth Management Domain - BFSI) Location- Goregaon, Mumbai Hybrid - 3 days WFO (Report to office) About the Role Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization heading a GenAI project end-to-end from POC to full-scale implementation. You will be heading a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. Required Skills - Excellent communication skills & stakeholder management to effectively collaborate with client SMEs - Entrepreneurial & founder's mindset to own end-to-end GenAI project deliveries and guide customers through various phases - 10+ years of professional experience with at least 4+ years in driving Machine Learning & AI projects - 1+ years of experience with LLMs & Generative AI techniques, particularly prompt engineering, RAG, and agents - Understanding of the latest GenAI frameworks like Langchain, Langgraph, Llama-index, etc. - Understanding of Cloud services, including Azure, GCP, or AWS - Understanding of Agile methodologies and project management tools like JIRA, Confluence Roles & Responsibilities: - Head GenAI client engagements end-to-end. Be the primary owner capable of independently executing such projects and bringing more future business for Turing - Perform business analysis, requirement gathering, and solution workflow design for GenAI/ML projects - Align the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction - Study new LLM research topics and implement the same to showcase technical prowess to clients and build value for Turing

Key Responsibilities: Design, develop, and deploy conversational AI systems (chatbots, virtual assistants) that leverage LLMs to enable seamless voice interactions for banking services & Code generation and Completion including test cases. Develop multi modal solution architecture with Agents with bespoke models for specific use-case/scenario Fine-tune and optimize LLM models for specific banking tasks and user experiences. Implement Retrieval Augmented Generation (RAG), and embeddings to retrieve customer information through APIs Continuously monitor and evaluate the performance of voice-based banking solutions. Develop and deploy machine learning models for tasks like personalized recommendations, and customer sentiment analysis. Collaborate to deploy and manage models on GCP, leveraging its MLOps tools and services to streamline model development, training, and deployment. Develop an end-to-end architecture from training to inferencing custom models Skills: Strong understanding of natural language processing (NLP) concepts and techniques, good programming skills Knowledge on AI/ML algorithms building NLP Applications Deep knowledge of LLM architectures and their applications. Expertise in data preprocessing, feature engineering, and model evaluation. Basic understanding of MLOps principles and practices. Excellent problem-solving and communication skills. Experience 3+ years of hands-on experience in AI/ML development, with a strong focus on NLP & API Integrations Experience with LLM models, and fine-tuning, prompt engineering, and RAG techniques. Proficiency in Python is Must Knowledge on vector databases will be good HandOn experience with frameworks TensorFlow, Pytorch, LangChain, FastAPIs, NoSQL Database Knowledge on GCP/MLOPs will Pls share resume to [HIDDEN TEXT]

As a Senior AI Scientist at SAP, you will have the opportunity to work directly with customers on challenging business problems. Your role will involve applying advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what's possible with AI. You will work across customer projects, product development, and research initiatives to make a real-world impact from day one. Working under the guidance of expert data scientists, you will be responsible for delivering prototype and production-grade AI solutions for strategic business problems. In addition, you will provide direction and mentorship to junior staff to ensure the timely delivery of robust solutions. Your responsibilities will include translating complex business problems into mathematical or computational models, designing, implementing, and optimizing machine learning algorithms and data mining workflows, collaborating directly with customers to understand business needs and deliver proof-of-concept AI solutions, as well as designing and implementing novel machine learning algorithms to support internal teams. To excel in this role, you should hold a Masters degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related field, along with 5+ years of experience for Data Scientist and 9+ years of experience as a Senior Data Scientist in machine learning, data science, or AI research. Strong technical skills in machine learning, deep learning, data mining, and optimization are essential, along with proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, and scikit-learn. Experience working with real-world datasets, data preprocessing, model deployment, and familiarity with cloud environments like AWS, Azure, and GCP are also required. Your core competencies should include the ability to translate abstract business challenges into concrete AI solutions, strong analytical, problem-solving, and mathematical modeling skills, curiosity and initiative in exploring new AI techniques and applications, and the ability to write production-grade Python code. Excellent communication and collaboration skills, especially in customer-facing environments, and a commitment to ethical and explainable AI practices are crucial for success in this role. Joining the Intelligence Team within Application AI at SAP will provide you with exposure to diverse problem domains and opportunities to collaborate with customers, product managers, and full-stack engineers in a globally distributed team. As a member of this team, you will contribute to advanced R&D and AI application development for SAP Business Suite Finance & Spend, working towards the company's suite-first, AI-first promise. At SAP, we believe in fostering a culture of innovation where new ideas are encouraged and valued. With a highly collaborative team ethic and a commitment to personal development, we are dedicated to helping our employees bring out their best and create a better world through the power of technology. SAP is committed to equality, inclusion, and providing a supportive work environment that enables every individual to reach their full potential. Regardless of background, everyone is welcome at SAP, and we believe that our strength lies in the unique capabilities and qualities that each person brings to our company. If you are interested in joining a purpose-driven and future-focused organization with a strong emphasis on inclusivity, health, and well-being, consider applying to SAP and be a part of our collaborative team dedicated to unleashing all talent and making a positive impact on the world.,

You will be joining our team as an experienced AI Trainer with a specialization in Generative AI. Your role will involve creating and providing training programs, workshops, and educational materials to help individuals and teams enhance their skills in AI and machine learning, specifically focusing on Generative AI. Your responsibilities will include developing and conducting AI training sessions for various audiences, such as software developers, data scientists, and business professionals. You will design curriculum and training materials covering topics like machine learning algorithms, deep learning frameworks like PyTorch-TensorFlow, natural language processing, computer vision, Generative AI, and AI ethics. Your goal will be to deliver engaging and interactive training sessions that cater to different learning styles, both in-person and virtually. In addition, you will offer guidance and support to participants during hands-on exercises and projects to reinforce their learning and skills development. It will be essential for you to stay updated on the latest trends and technologies in AI and machine learning, especially in Generative AI, and integrate them into your training programs accordingly. Collaboration with team members, subject matter experts, and stakeholders will be crucial to continuously enhance and refine the training content and delivery methods. You will evaluate the effectiveness of the training programs through assessments, feedback, and performance metrics, making recommendations for improvement. The ideal candidate for this role should possess a Bachelor's degree or higher in computer science or engineering, along with a minimum of 2 years of experience in AI Development. Experience in training others in artificial intelligence, strong communication and presentation skills, a passion for teaching and mentoring, and the ability to design and deliver effective training programs are key qualifications for this position. Familiarity with instructional design principles, adult learning theory, and instructional technologies would be advantageous.,

We are seeking an AI specialist with over 3 years of experience to develop and implement AI solutions, primarily focusing on Java. The ideal candidate will have a strong proficiency in Java-based AI development, while experience in Python is also valued. In this role, you will be responsible for designing intelligent agents and applying cutting-edge machine learning techniques to address complex business challenges. Your main responsibilities will include designing, building, and deploying AI agents using Java to automate decision-making processes. You will utilize frameworks such as LangChain, LlamaIndex, and other advanced AI frameworks, ensuring smooth integration into Java applications. Additionally, you will work hands-on with machine learning toolkits, leveraging Java-based libraries for AI development. It is essential to have a deep understanding of machine learning concepts and apply them to real-world problems using Java. Furthermore, you will focus on ensuring data and application security in the AI pipeline, as well as leading efforts in model selection, training, and optimization within Java-based frameworks. Thorough evaluation and testing of AI models to ensure effectiveness and scalability in Java-based applications are also key responsibilities. Collaboration with Data Engineers to refine training datasets and contribute to AI/ML operations for deploying and managing models in production environments will be essential. Qualifications for this role include a Bachelor's degree in Engineering, along with at least 3 years of experience as an AI Engineer or similar role. You should have proven experience with AI agents, a strong proficiency in Java for AI development, and familiarity with popular AI frameworks. Experience with machine learning toolkits and a solid understanding of model training, fine-tuning, and evaluation processes within a Java-based environment are also required. Skills in MLOps or AI model deployment and management in Java-based environments are considered a plus. Preferred Skills: - Excellent problem-solving abilities with a focus on innovative AI-driven solutions in Java. - Strong programming skills in Java (required) and Python (preferred). - Familiarity with cloud environments and deploying AI/ML solutions on platforms such as AWS, GCP, or Azure.,

Job Overview: We are looking for a Lead AI/ML Engineer to develop, deploy, and optimize AI-driven solutions. This role requires expertise in machine learning, deep learning, and Generative AI, with a strong focus on implementing cutting-edge AI models for business applications. Key Responsibilities: Develop and deploy AI/ML models to solve complex business problems. Design and optimize Generative AI models for various applications. Perform data preprocessing, feature engineering, and model tuning to enhance accuracy. Collaborate with cross-functional teams to integrate AI solutions into existing workflows. Conduct research and stay updated on the latest advancements in AI, ML, and LLMs. Implement MLOps best practices to ensure scalable and efficient model deployment. Mentor junior engineers and contribute to knowledge sharing. Present technical findings and project results to stakeholders. Required Skills & Qualifications: Bachelor's or master's degree in computer science, AI, ML, or a related field. 5 to 8 years of hands-on experience in AI/ML development. Strong proficiency in Python, R, or Java, along with ML frameworks like TensorFlow, PyTorch, or Keras. Expertise in Generative AI, NLP, and deep learning techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with MLOps tools for model lifecycle management. Strong analytical and problem-solving skills. Excellent communication skills for collaboration with business teams. Preferred Skills: Experience with multi-agent systems and Generative AI design patterns. Understanding computer vision, reinforcement learning, and AI-driven automation. Contributions to AI research, publications, or open-source projects.

As a Senior AI Expert at ChicMic Studio, located in the Mohali district, you will play a crucial role in developing AI-driven solutions and optimizing AI models. Your expertise in AI development and implementation, proficiency in machine learning algorithms, and ability to collaborate with cross-functional teams will be essential in integrating AI capabilities into our innovative projects for startups and established brands. Key Responsibilities: - Develop AI-driven solutions to meet project requirements - Implement machine learning algorithms to enhance product functionality - Optimize AI models for improved performance and efficiency - Collaborate with cross-functional teams to integrate AI capabilities into existing products - Contribute to the unique, engaging, and inspiring nature of each project from concept to launch Qualifications: - Strong expertise in AI development and implementation - Proficiency in machine learning algorithms - Experience in optimizing AI models - Ability to collaborate effectively with cross-functional teams - Excellent problem-solving and analytical skills - Knowledge of Agile, Scrum, and Kanban methodologies - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field If you are passionate about leveraging AI to create impactful digital solutions and thrive in a collaborative, innovative environment, we invite you to join our team at ChicMic Studio.,

You are a talented AI Developer with hands-on experience in AI development, and you will be joining our team in Chennai. You have a strong background in Python programming and a passion for leveraging AI technologies to build complex products. You hold a Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters degree preferred) and have a minimum of 2 years of experience in AI development, focusing on NLP and LLM technologies. Your solid understanding of machine learning algorithms, deep learning techniques, and neural network architectures will be beneficial for this role. Proficiency in Python and related libraries/frameworks for AI development (e.g., TensorFlow, PyTorch, scikit-learn) is a key requirement. You have experience with data preprocessing, feature engineering, and model evaluation techniques, showcasing strong problem-solving and analytical skills with a keen attention to detail. Your excellent communication and collaboration abilities enable you to work effectively in a team environment. Your key responsibilities will include developing and implementing AI models and algorithms using Python and relevant libraries/frameworks, collaborating with data scientists, software engineers, and domain experts to design and deploy AI solutions, preprocessing, cleaning, and analyzing large datasets to extract insights, and training machine learning models. You will optimize AI algorithms for performance, scalability, and accuracy, considering computational resources and constraints. Staying updated on the latest advancements in AI research and technologies and applying them to enhance existing solutions will be part of your role. You will also participate in code reviews, documentation, and knowledge-sharing activities to ensure high-quality code and best practices. Working closely with stakeholders to understand requirements, define project scope, and deliver solutions on time and within budget is essential. Additionally, you will provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.,

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience in working with sensors data and time series data. Preferred qualifications: Master's degree or PhD in ML Time Series Data, Foundation Models or related technical field. Experience in machine learning, deep learning, and AI development, with a proven track record of building and deploying production-level models. Experience working in a research setting, collaborating with researchers and translating research findings into practical applications. Ability to work effectively with teams, including product managers, researchers, and other stakeholders, to drive AI adoption and integration. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Sensor Intelligence (SI) team is building scalable AI solutions and foundation models that learn generalizable physiological representations from large-scale, real-world sensor data. Join SI as the founding engineer in Bangalore. You have the opportunity to work on SOTA ML, be part of building sensor based foundation models, and collaborate with Google Research, Google DeepMind, and P&D teams worldwide. With your technical expertise you will research on open ended problems on Sensor Intelligence, design, develop, test, deploy, maintain, and enhance AI/ML software solutions. You will also be expected to manage project priorities, deadlines, and deliverables. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Evaluate large-scale, real-world sensor data for training sensor foundation model(s) and build new sensor foundation models. Collaborate with researchers and translating research findings from sensor data into practical applications for Fitness and health.

As a Senior AI Developer at Tax Technology Transformation, you will be an integral part of our dynamic team, focusing on Generative AI technologies. Your primary responsibility will be to design, develop, and deploy advanced Gen AI models to solve complex problems. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. It is essential to stay updated with the latest AI research and techniques, especially in the field of generative models, to enhance our offerings continually. In this role, you will write clean, maintainable, and efficient code in Python for AI applications. Leveraging Azure cloud services, you will build and maintain robust AI solutions that can scale according to business needs. Engaging with stakeholders is crucial to understand business requirements and translate them into technical specifications. Additionally, conducting code reviews, testing, and debugging are essential to ensure high-quality software delivery. Documenting AI development processes, architectures, and models for internal and external stakeholders will also be part of your responsibilities. To qualify for this position, you should hold a Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. Strong programming skills in Python, along with experience in AI and machine learning libraries such as TensorFlow, PyTorch, and Keras, are required. You should have at least 3 years of experience in AI development, specifically focusing on generative models. Familiarity with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure AI Platform, is preferred. Experience with DevOps practices and tools for AI development, such as CI/CD, containerization (Docker/Kubernetes), and infrastructure as code, is beneficial. You should demonstrate the ability to design and implement scalable, reliable, and cost-effective AI solutions. Excellent problem-solving skills and the capability to work in a fast-paced, iterative development environment are essential. Strong communication and collaboration skills are necessary to work effectively in a team and interact with technical and non-technical stakeholders. Knowledge of data engineering and architecture principles is a plus for this role. Experience with Language models (Small or Large), natural language processing (NLP), or other generative techniques is highly desirable.,

As a GenAI Engineer (Senior/Lead) with 10 years of experience, you will be responsible for integrating LLM APIs, developing AI-driven applications, optimizing model performance, and deploying AI services at scale. Your expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration will be crucial for this role. Your key responsibilities will include building and maintaining Python-based AI services using LangChain and CrewAI, implementing RAG-based retrieval and Agentic AI workflows. You will also be involved in integrating OpenAI, Bard, Claude, Azure OpenAI APIs, optimizing API calls, and reducing hallucinations using embedding-based retrieval methods like FAISS and Pinecone. Additionally, you will evaluate AI models, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. Designing scalable RESTful API services, securing AI endpoints using OAuth2, JWT authentication, and API rate limiting will also be part of your role. You will deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines, and implement LangChain for AI workflow automation. Working in Scrum teams, estimating tasks accurately, and contributing to incremental AI feature releases will be essential for Agile development and innovation. Your tech stack will include AI/ML tools such as PyTorch, TensorFlow, Hugging Face, Pinecone, LLMs & APIs like OpenAI, LangChain, CrewAI, cloud & DevOps tools such as AWS, Azure, Kubernetes, Docker, CI/CD, and security & compliance measures like OAuth2, JWT, and HIPAA. To excel in this role, you should have a minimum of 4 years of experience in AI/ML, LLM integrations, and enterprise cloud solutions, along with proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. Strong knowledge of scalable AI architectures and security best practices will be highly beneficial.,

Full Stack AI Engineer Employee or Freelance (Part-time / Full-time) | Remote About the Role We are looking for a talented Full Stack AI Engineer to help design and implement AI systems that integrate seamlessly into client workflows. You will leverage large language models (LLMs) to transform accounting data and reports into human-like messages and summaries, while embedding AI-driven decision-making capabilities into our automation platform. This role involves prompt engineering, retrieval-augmented generation (RAG), embeddings, and document parsing to create intelligent, real-world applications. Responsibilities Develop prompts to convert structured and unstructured accounting data into clear summaries Fine-tune or instruct LLMs to generate client-ready outputs (e.g., invoice reminders) Implement RAG pipelines for document-driven workflows Work with embeddings and document parsing (e.g., PDFs, reports, HTML) Collaborate with backend engineers to embed AI into automation flows Ensure performance, scalability, and reliability of AI-driven applications Requirements 3+ years of hands-on experience in AI/NLP or LLM development Strong expertise with OpenAI APIs, LangChain, or LlamaIndex Proficiency in Python and core ML frameworks/libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) Familiarity with RAG pipelines, vector databases, and document parsing Proven experience building AI-driven summarization or decision-making workflows Strong fundamentals in machine learning algorithms, data structures, and software engineering best practices A problem-solving mindset with creativity and initiative in tackling complex challenges Bonus: Experience building AI agents (agentic AI systems that reason and act) and managing products end-to-end from design to deployment Contact Details Contact Details shwetha.r@valenta.io

The future of open source AI starts with you. At Red Hat, we are looking for engineers who want to become an integral part of democratizing AI technology, making open source AI available and accessible to all. AI Engineering is a newly formed team where you will have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you will have the freedom to innovate and focus on challenging, high-impact work that makes a difference. We are looking for Machine Learning Engineers across two teams: InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions and assisting users in understanding ML predictions. During the hiring process, we will work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives. Successful applicants must reside in a country where Red Hat is registered to do business. ### What you will do Specific responsibilities will vary based on team placement, but may include: - Design and implement machine learning systems - Develop and optimize ML models for production use - Create and maintain ML infrastructure and pipelines - Ensure ML systems are scalable and maintainable - Collaborate with data scientists to productionize models - Collaborate closely with researchers, software developers, and upstream AI/ML communities ### What you will bring - Experience in AI development, deep learning, machine learning libraries (e.g. PyTorch, scikit-learn), prompt engineering, and/or fundamental mathematics - Experience in feature engineering - Experience in Go or Python development - Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies - Experience in agile development, Jira, and Git - Ability to quickly learn and use new tools and technologies - Excellent written and verbal communication skills About Red Hat Red Hat is the world's leading provider of enterprise open-source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We are a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat's culture is built on the open-source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.,

As a Machine Learning and AI Developer, you will be responsible for designing, developing, and deploying scalable models utilizing Machine Learning and AI technologies. Your primary tasks will involve data preprocessing, feature engineering, and data cleaning to enhance dataset optimization. Utilizing frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, you will build AI solutions and optimize code using Python, Numpy, and Pandas for data analysis and manipulation. Collaborating with cross-functional teams, you will integrate ML models into applications and research and implement cutting-edge Machine Learning algorithms to ensure the performance and scalability of AI systems. To excel in this role, you should have 1-4 years of experience in Machine Learning and AI development, along with proficiency in Python and its libraries like Numpy, Pandas, and Matplotlib. Hands-on experience with frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn is essential. A strong understanding of data preprocessing techniques and tools, familiarity with deep learning, neural networks, and model deployment, as well as excellent problem-solving skills and attention to detail are required. Your strong communication skills will be essential for team collaboration and project updates. Join our team to be a part of a collaborative and innovative environment where you will work on challenging projects with a significant impact. We offer competitive salaries and growth opportunities in a full-time position with a day shift schedule. Work location is in person.,

We are seeking a motivated AI/ML and Python Developer with 6 years + of experience to join our team. The ideal candidate will have a strong foundation in AI/ML technologies, Python programming, and a passion for solving complex problems. Key Responsibilities: Develop, deploy, and maintain AI/ML models and solutions. Integrate and optimize Large Language Models (LLMs) and Generative AI (Gen AI) technologies. Design and implement AI agents for automation and decision-making tasks. Collaborate with cross-functional teams to deliver scalable AI-driven solutions. Technical Requirements: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Gen AI, LLM integration (e.g., OpenAI GPT, Hugging Face), and AI agent development. Familiarity with data preprocessing, model training, and evaluation techniques. Knowledge of REST APIs, cloud platforms (e.g., AWS, GCP), and version control (e.g., Git). Understanding of NLP , computer vision, or reinforcement learning is a plus. Preferred Qualifications: Hands-on experience with Gen AI tools and frameworks. Must Have Good Command over LLM - NLP Techniques Proven ability to work on end-to-end AI/ML projects. Strong problem-solving and communication skills.

Position Overview: We are seeking an experienced AI Trainer with expertise in Generative AI to join our team. The ideal candidate should have a minimum of 2 years of experience in AI Development. As an AI Trainer, you will be responsible for designing and delivering training programs, workshops, and educational materials to help individuals and teams develop their skills in AI and machine learning, including Generative AI. Key Responsibilities: Develop and deliver AI training programs, workshops, and educational materials for various audiences, including software developers, data scientists, and business professionals. Design and implement curriculum and training materials covering topics such as machine learning algorithms, deep learning frameworks like PyTorch-TensorFlow, natural language processing, computer vision, Generative AI, and AI ethics. Deliver engaging and interactive training sessions, both in-person and virtually, that cater to different learning styles and levels of expertise. Provide guidance and support to participants during hands-on exercises, projects, and assignments to reinforce learning and skills development. Stay updated on the latest trends, tools, and technologies in AI and machine learning, particularly in Generative AI, and incorporate them into training programs as appropriate. Collaborate with other team members, subject matter experts, and stakeholders to continuously improve and refine training content and delivery methods. Evaluate the effectiveness of training programs through assessments, feedback, and performance metrics and make recommendations for improvement. Requirements: Bachelor's degree or higher in computer science, engineering. Minimum of 2 years of experience in AI Development, including experience with machine learning algorithms, deep learning frameworks, Generative AI, and AI development tools. At least 1 year of experience specifically in training others in the field of artificial intelligence, either in a corporate training setting, academic environment, or as a freelance trainer would be preferred. Strong communication and presentation skills, with the ability to explain complex technical concepts in a clear and concise manner. Passion for teaching and mentoring others, with a focus on fostering a collaborative and supportive learning environment. Proven ability to design and deliver engaging and effective training programs that meet the needs of diverse audiences. Experience with instructional design principles, adult learning theory, and instructional technologies is a plus.

As a Gen AI Solution Architect, your primary responsibility will be to develop and implement cutting-edge generative AI solutions that cater to the specific needs of clients while aligning with the company's overarching strategy. You will be tasked with designing solutions that strike a balance between speed and enterprise scalability, ensuring the most suitable solutions are put in place. Leading a team of AI professionals will be essential to ensure successful project delivery and overall client satisfaction. It is imperative to stay abreast of the latest AI trends and technologies to continuously enhance the company's offerings. Collaboration with cross-functional teams will be key to identifying opportunities for AI solutions and fostering innovation within the organization. Providing thought leadership and guidance to clients on the advantages and limitations of generative AI solutions will also be part of your role. Your expertise will be crucial in designing end-to-end solutions that seamlessly align with business processes and technology roadmaps. Additionally, offering mentorship and guidance to team members, formulating innovative ideas, and solving complex problems will be integral to your success in this role. Negotiating the needs of multiple users or business partners and striking a balance between IT standards, strategies, and business requirements will guide well-informed decision-making. To qualify for this position, you should possess at least 8 years of experience in AI development and architecture, specifically focusing on generative AI solutions. A strong grasp of machine learning algorithms, deep learning frameworks, cloud computing platforms, and big data technologies is essential. A Bachelor's degree in Engineering from a Tier-I institute is preferred, along with exceptional communication and leadership skills to effectively manage and motivate a team. In-depth knowledge of architecture fundamentals, the company's products and services, and business processes are also required. Managing business partner expectations at a senior level, overseeing vendors, and demonstrating advanced problem-solving and negotiation skills are key attributes for success. Furthermore, a Master's or PhD in Computer Science, Engineering, or a related field is desirable, along with specialized software knowledge in AI development and architecture. Expertise in technology architecture, including inter-technology operability, as well as experience in leading and managing large-scale AI projects across various industries, will be advantageous in this role. Your comprehensive understanding of AI solutions and dedication to driving innovation will be instrumental in shaping the company's future success.,

We are hiring AI Teaching Trainees with knowledge in AI, Agentic AI, ML, Cloud & Prompt Engineering. Freshers welcome! Teach students, deliver workshops & guide projects. Great opportunity to start your career as an AI Trainer.

As an AI/Machine Learning Engineer at our organization, you will play a key role in developing innovative solutions using machine learning technology to drive business success. Working closely with a diverse team of data scientists, software engineers, and product managers, you will be responsible for designing, developing, and maintaining robust machine learning models and workflows. Your focus will be on transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to enhance user experiences and functionality. Your primary responsibilities will include creating end-to-end workflows for training and inference pipelines of machine learning models, designing and implementing multi-step workflows using Python and frameworks like LangChain and LangGraph, building and optimizing RAG pipelines using vector stores such as FAISS and AWS OpenSearch, processing and analyzing time series data using libraries like Pandas and NumPy, and collaborating with other developers to deploy and maintain applications across different platforms. To be successful in this role, you should have a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, along with at least 3 years of experience as a Machine Learning Engineer or AI Developer. Proficiency in Python programming and familiarity with libraries such as scikit-learn, Numpy, Pandas, TensorFlow, and PyTorch is essential. Additionally, you should have experience with building APIs, integrating third-party libraries, and working with AWS or Azure services. Your strong problem-solving skills, ability to work under pressure, and excellent communication abilities will be crucial in engaging with various collaborators and delivering high-quality solutions. You should also be comfortable switching between different projects as needed and have experience with backend integrations and deploying AI/ML models in production environments. Join our central Digital Products and Solutions team at Siemens Energy, where we are dedicated to developing software solutions for internal and external customers. As part of a global team committed to sustainability, innovation, and energy transformation, you can make a real impact and contribute to our mission of creating sustainable, reliable, and affordable energy solutions for a better future. Siemens Energy values diversity and inclusion, celebrating individual differences and fostering a culture of creativity and collaboration. By joining our team, you will have the opportunity to work remotely, collaborate with a distributed team, lead innovative projects, enjoy medical benefits, paid holidays, parental leave, and access continual learning opportunities through the Learn@Siemens-Energy platform. Discover how you can be part of our exciting journey at Siemens Energy and contribute to shaping the future of energy technology.,

As a Manager in Data & Analytics at EY, you will lead cross-functional teams in designing, developing, and deploying next-generation AI solutions. With a minimum of 8 years of experience, you will be responsible for building GenAI and Agentic AI workflows, project management, client relationship management, and ensuring business outcomes are met. Your role will involve overseeing the delivery of AI-driven solutions, aligning them with client needs, and fostering a high-performance culture within the team. Your key responsibilities will include leading, mentoring, and growing a team of AI engineers, data scientists, and solution architects. You will define team goals, set performance expectations, and drive collaboration, innovation, and knowledge-sharing. Additionally, you will own end-to-end delivery of AI projects, define project roadmaps, allocate resources, and manage risks and dependencies while ensuring timely delivery. You will also act as the primary point of contact for clients, translate business problems into AI solutions, and negotiate scope and deliverables. In terms of AI strategy and innovation, you will shape and refine the strategy for AI adoption, identify new opportunities for automation and decision support, and evaluate emerging technologies. You will also design, implement, and optimize machine learning pipelines, ensuring scalability and adaptability. Collaborating closely with product, engineering, and business stakeholders, you will drive projects from conception to production, enabling measurable business value and ROI. To qualify for this role, you should have a Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field, along with 8-12 years of total experience with at least 3-5 years in AI/ML leadership roles. You should have proven expertise in Generative AI and Agentic AI, strong understanding of cloud platforms and AI governance, and demonstrated ability to manage large-scale AI/ML projects. Exceptional communication skills, people leadership experience, and strong business acumen are also required for this position. Join EY in building a better working world by leveraging data, AI, and advanced technology to shape the future with confidence and address the most pressing issues of today and tomorrow. EY offers a globally connected network of services in assurance, consulting, tax, strategy, and transactions, enabling clients to create new value while building trust in capital markets.,

URGENT HIRING !!! For more information call or WhatsApp +91 9289584545 Mail us at: [HIDDEN TEXT] location's : Canada , Australia , New Zealand , UK, Germany , Singapore ( Not In India ) Benefits : Medical Insurances , Travel allowances , Flight Tickets , Meals , etc. Responsibilities Design, develop, and implement AI models and algorithms to solve real-world problems. Collaborate with cross-functional teams to understand project requirements and deliver solutions. Conduct data analysis and preprocessing to prepare datasets for training AI models. Test and validate AI models to ensure accuracy and effectiveness. Stay updated with the latest trends and advancements in AI and machine learning. Skills and Qualifications Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of data structures, algorithms, and data analysis techniques. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of statistical analysis and data visualization tools. Excellent problem-solving skills and ability to work in a team environment.

Solution Design and Architecture: Lead the design and architecture of Kore.ai solutions, ensuring they align with business objectives and technical requirements. Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring best practices in AI solution development and deployment. Integration: Oversee the integration of Kore.ai solutions with existing systems and platforms, ensuring seamless interoperability. Customization : Customize Kore.ai solutions to meet specific business needs, including developing custom workflows, intents, and integrations. Performance Optimization : Monitor and optimize the performance of deployed solutions, ensuring high availability, scalability, and efficiency. Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements and translate them into technical specifications. Documentation: Create comprehensive technical documentation, including architecture diagrams, integration guides, and user manuals. Training and Support: Provide training and support to internal teams on the use and maintenance of Kore.ai solutions. Qualifications Education: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in software development, with at least 3 years in a technical architect role focusing on AI solutions. Technical Skills: Proficiency in programming languages such as JavaScript, Python, or Java. Strong understanding of natural language processing (NLP) and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with RESTful APIs and web services. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work collaboratively in a fast-paced environment. Preferred Qualifications: Experience with Kore.ai platform or similar conversational AI platforms. Knowledge of industry-specific use cases for conversational AI in sectors like banking, healthcare, retail, or insurance.

Solution Design and Architecture: Lead the design and architecture of Kore.ai solutions, ensuring they align with business objectives and technical requirements. Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring best practices in AI solution development and deployment. Integration: Oversee the integration of Kore.ai solutions with existing systems and platforms, ensuring seamless interoperability. Customization : Customize Kore.ai solutions to meet specific business needs, including developing custom workflows, intents, and integrations. Performance Optimization : Monitor and optimize the performance of deployed solutions, ensuring high availability, scalability, and efficiency. Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements and translate them into technical specifications. Documentation: Create comprehensive technical documentation, including architecture diagrams, integration guides, and user manuals. Training and Support: Provide training and support to internal teams on the use and maintenance of Kore.ai solutions. Qualifications Education: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in software development, with at least 3 years in a technical architect role focusing on AI solutions. Technical Skills: Proficiency in programming languages such as JavaScript, Python, or Java. Strong understanding of natural language processing (NLP) and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with RESTful APIs and web services. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work collaboratively in a fast-paced environment. Preferred Qualifications: Experience with Kore.ai platform or similar conversational AI platforms. Knowledge of industry-specific use cases for conversational AI in sectors like banking, healthcare, retail, or insurance.