88 Ai Models Jobs - Page 2

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle, providing a comprehensive cloud service offering in the enterprise software industry. This includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is focused on building a future-ready AI-based Cloud Service. As part of the team working on next-generation, AI-powered solutions, your role will involve transforming surveillance and authentication systems. The aim is to revolutionize security by moving towards cutting-edge biometric and AI-driven technologies, departing from traditional password-based authentication. You will be instrumental in designing and implementing solutions that facilitate real-time, intelligent analysis of surveillance camera feeds. This includes enhancing security systems with advanced features like facial recognition and behavior analysis. This presents an exciting opportunity to contribute to a rapidly evolving field, where your innovations will shape the future of authentication and surveillance technologies, ultimately enhancing security on a global scale. Qualifications required for this role include a Master's degree or equivalent experience in fields such as Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, or related areas. Additionally, you should have 6+ years of experience (for Master's) in designing, implementing, and deploying machine learning models in production settings. Practical experience with distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java) is essential. Familiarity with cloud environments such as Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes) is preferred. Moreover, expertise in machine learning techniques, statistical models, and programming languages like Java, Python, and C++ is necessary. A solid understanding of data structures, algorithms, and problem-solving skills is also expected. As an IC2 level professional, your responsibilities will include designing, developing, and implementing AI and machine learning models for real-time surveillance analysis. You will work on optimizing biometric authentication systems using techniques like facial recognition, voice recognition, and fingerprint scanning. Managing and optimizing Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models will be part of your role, ensuring seamless deployment, high availability, and efficient resource utilization. Monitoring and improving the performance of AI models, optimizing algorithms for lower latency and better scalability, and staying up-to-date with advancements in AI, machine learning, biometric technologies, and surveillance systems are key aspects of your responsibilities. Additionally, you will research new technologies and tools to enhance solution capabilities, maintain documentation for future development and regulatory compliance, provide project updates to management and stakeholders, and offer technical support for deployed systems. About Us: Oracle is a world leader in cloud solutions, leveraging tomorrow's technology to address today's challenges. With over 40 years of experience, we continue to thrive by partnering with industry leaders across various sectors, operating with integrity and a commitment to innovation. At Oracle, we believe that true innovation flourishes when everyone is empowered to contribute. We are dedicated to fostering an inclusive workforce that provides opportunities for all individuals to grow and succeed. Our global opportunities promote work-life balance, offering competitive benefits, flexible medical, life insurance, and retirement options to support our employees. We also encourage our team members to engage in volunteer programs to give back to their communities. We are committed to ensuring accessibility and accommodation for individuals with disabilities throughout the employment process. If you require assistance or accommodation due to a disability, please contact us at accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

As a talented Full Stack Developer with expertise in Generative AI and Natural Language Processing, you will be a key member of our team, contributing to the design, development, and scaling of cutting-edge LLM and Generative AI applications to enhance user experiences. Your responsibilities will include developing backend logic and intelligent workflows using pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. You will integrate and operationalise NLP and Generative AI models in production environments, including speech processing pipelines like automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Applying techniques such as LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) will be crucial for enhancing AI system performance. Moreover, you will design and deploy scalable full-stack solutions supporting AI-driven applications, working with various data sources to enable contextual AI retrieval and responses. Utilising cloud platforms like AWS/Azure effectively for hosting, managing, and scaling AI-enabled services will also be part of your role. If you are passionate about combining full-stack development with AI and LLM technologies to create innovative text and voice applications, we look forward to hearing from you. Qualifications: - 3+ years of hands-on experience in full-stack application development with a strong understanding of frontend and backend technologies. - 12 years of proven experience in designing and implementing AI-driven conversational systems. - Deep knowledge of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: - Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimization in production environments. What You'll Get: - Opportunity to work on one of the most advanced AI systems. - A high-performing, fast-paced startup culture with a deep tech focus.,

As a Data Annotation Specialist, your primary responsibility will be creating training data sets for AI models to enhance their accuracy, fluency, coherence, and voice. You will be required to annotate data in a manner that ensures alignment with human values. Additionally, your role will involve analyzing and enhancing the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure compliance with linguistic rules and conventions. Collaboration with cross-functional teams, including data scientists, researchers, and software engineers, is a key aspect of this role. You will work closely with these teams to refine and iterate data sets, contributing to the development of specifications for AI-model training and data recipes. In this dynamic environment, you must be adaptable to shifting guidelines and flexible priorities. Your success will be measured by achieving target Key Performance Indicators (KPIs), such as daily job count and average handle time per job, within specified data production windows. If you are passionate about data annotation, linguistic analysis, and contributing to the advancement of AI technology, this role offers an exciting opportunity to make a meaningful impact.,

As a talented Senior Rust Developer, you will have the exciting opportunity to be a part of our ambitious team dedicated to advancing AI technology. You will play a crucial role in developing innovative solutions and contributing to the forefront of AI advancements. Your primary focus will be on working with various US-based projects to create both commercial and research AI solutions. Your responsibilities will include writing effective and high-quality code to train and evaluate AI models. Leveraging your business acumen and analytical skills, you will extract valuable insights from public databases. You will be adept at clearly communicating the reasoning and logic behind your code, whether it be in Jupyter notebooks or other suitable mediums. Additionally, you will evaluate and rank AI model responses based on user requests across a diverse range of computer science topics, providing detailed rationales for your decisions. Your expertise will also be crucial in enhancing the quality of model responses. To excel in this role, you should hold a Bachelors or Masters Degree in Engineering, Computer Science, or possess equivalent experience. You must demonstrate exceptional critical thinking and problem-solving abilities, encompassing a solid understanding of algorithms, data structures, system design, and coding best practices. Proficiency in Rust's syntax and conventions is essential for this position. While not mandatory, prior experience in Software Quality Assurance and Test Planning would be advantageous. Effective spoken and written English communication skills are a must, enabling you to articulate ideas clearly and comprehensively. If you are passionate about driving AI technology forward and possess the requisite skills and qualifications, we encourage you to apply and join our dynamic team as a Senior Rust Developer.,

As part of Edelman's commitment to becoming the foremost communications consultancy, there is an essential focus on advancing product development, particularly in technology and services that harness the power of data and AI to revolutionize both Edelman's operations and those of its clients. To realize this vision, Edelman is establishing a pivotal new AI-driven division comprising four key departments, each with distinct roles and responsibilities in the innovation, delivery, and implementation of AI and data solutions within Edelman and the broader communications industry. We are currently seeking a talented and forward-looking AI Technical Solutions Builder to become a part of our team and contribute to shaping the future of AI-driven applications. In this position, you will be responsible for designing and constructing robust, scalable backend systems that incorporate cutting-edge GPT technologies. Your role will involve collaborating with cross-functional teams to translate creative solutions into reality, utilizing modern APIs, AI models, and automation tools to redefine the boundaries of technological capabilities. If you are enthusiastic about backend development and intrigued by the dynamic realm of AI, we invite you to connect with us. **Responsibilities:** - Develop and maintain backend applications utilizing contemporary AI chat and agent completion APIs. - Design and deploy scalable cloud-based architectures that facilitate customized GPT functionalities. - Work closely with internal teams to gather requirements and deliver efficient backend solutions. - Enhance application performance, ensuring reliability and scalability. - Continuously enhance existing applications and introduce new features that align with emerging AI technologies. **Qualifications:** - Fundamental comprehension of GPT models (e.g., ChatGPT, OpenAI API, prompt engineering). - Familiarity with tools like OpenAI's Custom GPTs and Microsoft Copilot. - Substantial experience in backend software development. - Proficiency in programming languages such as Python and JavaScript or no-code/low-code platforms. - Experience with AI models, especially GPT-based APIs, and their integration into applications. - Hands-on familiarity with cloud platforms, particularly AWS and Azure, and the associated deployment tools. - Understanding of database systems and RESTful/API design principles. - Strong problem-solving abilities and keen attention to detail. - Excellent communication skills and the capacity to collaborate effectively within a team environment. - Bonus: Experience with full-stack software development. - Bonus: Familiarity with OpenAI functionalities like GPT Actions, Assistants API, function calling, finetuning, and Copilot integrations across the Microsoft ecosystem. **Why join us ** - Impactful Work: Contribute significantly to transforming the workflows of the premier PR/communications firm globally. - Collaborative Environment: Engage with a diverse and skilled team, fostering innovation across various disciplines. - Professional Growth: Access opportunities for continual learning and advancement in the rapidly evolving field of AI.,

Calling bright minds from top-tier engineering & tech institutes! Are you ready for a world-class, hands-on internship in real-world product development Join our AI-driven CRM & ERP + Sales Automation platform team, a greenfield project where your DSA, backend, and database skills truly come to life. You will be responsible for building and optimizing core systems using Node.js, RDBMS, MongoDB, LLM/RAG databases. Additionally, you will design and tune APIs, handle routing, and enhance performance. Your role will involve developing intelligent automation for sales workflows, ranging from lead generation, outreach, and forecasting to personalized communication, all driven by AI models. You will need to apply critical thinking to solve real-time product challenges in a product-first, no-fluff coding environment. As part of the perks, you will receive a fully paid 3-month internship with a stipend (finalized post-interview) and there is high potential to transition into a permanent role based on strong performance. The on-site location for this opportunity is at Cyber Towers, Hyderabad. We are looking for individuals who are physically present in Hyderabad and ready to contribute as a team player with strong critical-thinking skills. You should be willing to go the extra mile, dive deep, and have a passion for backend/data architecture and building AI-enabled systems. This role is focused on pure coding, devoid of drama, and promises an experience that you will be immensely proud of. If you are interested in this exciting opportunity, please drop your CV or DM today to get started on building something exceptional.,

Ruby on Rails Developer Bundler,ActiveRecord,Sidekiq,Redis,memcached design patterns,metaprogramming&distributed database operation Ruby version management,unit testing&Rails conventions AI core concepts& various AImodels 1+exp implementing AI models

You have around 10 years of experience in AI/ML, Generative AI, and automation domains. As a highly skilled and visionary Solution Architect, your role will involve leading the design and implementation of cutting-edge solutions in Artificial Intelligence (AI), Generative AI, and Automation. You will need a combination of technical expertise, strategic thinking, and leadership to drive innovation and deliver scalable, high-impact solutions across the organization. Your key responsibilities will include designing end-to-end AI and automation solutions that are aligned with business goals and technical requirements. You will participate in business requirements discussions to arrive at solutions and technical architecture that consider all aspects of the business problem. It will be your responsibility to define architecture blueprints, integration patterns, and data pipelines for AI-driven systems. Additionally, you will evaluate and select appropriate AI models, automation tools (e.g., RPA, BPM), and cloud platforms to ensure scalability, security, and performance of deployed solutions. Staying current with emerging technologies and industry trends in AI, ML, NLP, computer vision, and automation will also be crucial. Providing technical leadership and mentorship to engineering teams, as well as participating in pre-sales and client engagements to define solution strategies and roadmaps, will be part of your role. The required qualifications for this position include a Bachelor's or Master's degree in computer science, Engineering, or a related field. You should have proven experience in architecting and deploying Generative AI solutions in production environments in Azure, GCP, AWS, etc. Strong knowledge of AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, experience with automation platforms like UiPath, Automation Anywhere, Power Automate, proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes), solid understanding of data engineering, APIs, and microservices architecture, as well as excellent communication and stakeholder management skills. Preferred qualifications for this position include certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Azure AI Engineer), experience with MLOps, model monitoring, and CI/CD pipelines, as well as familiarity with ethical AI practices and data privacy regulations.,

At NiCE, we challenge our limits and strive to be game changers in everything we do. If you are ambitious, innovative, and always play to win, we have the ultimate career opportunity that will ignite your passion for excellence. We are currently looking for an experienced AI Architect who possesses not only strategic thinking skills but also a hands-on approach to coding. In this role, you will be involved in both proof-of-concept (POC) and production-grade AI projects. Your responsibilities will include mentoring team members, establishing ethical AI practices, and making critical decisions regarding AI deployment strategies. It is essential to have a strong background in deploying AI solutions on cloud platforms like Azure or AWS, as well as expertise in building secure and compliant data and machine learning pipelines. As a proactive leader, you will be responsible for bridging the gap between innovation and execution while ensuring scalability, security, and governance in AI systems. Your impact will be significant as you: - Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability. - Lead the development of secure and compliant data and machine learning pipelines, aligning with data governance and regulatory standards. - Design, develop, and implement AI models and algorithms to solve real-world business problems. - Mentor team members on AI technologies, best practices, and system architecture. - Collaborate with stakeholders to identify AI-driven innovation opportunities and translate business requirements into technical solutions. - Promote ethical and responsible AI practices across the organization. - Take ownership of strategic decisions related to AI deployment and lifecycle management. - Conduct research and implement machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques. - Develop AI applications using modern frameworks and run experiments to enhance model performance. - Define and implement AI project Software Development Lifecycle (SDLC) processes. To be successful in this role, you should have: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. - Proven experience as an AI Architect with a track record of deploying AI solutions in production. - Strong expertise in AI/ML technologies, cloud platforms, and secure data management. - Proficiency in programming languages such as Python, .NET, and AI/ML frameworks. - Experience with AI project SDLC, CI/CD for ML, and AI testing strategies. - Familiarity with DevOps and Data Engineering tools and practices. - Strong analytical and problem-solving skills. - Excellent communication skills to convey complex technical concepts. Join NiCE, a global company where innovation and collaboration thrive. Embrace the NICE-FLEX hybrid work model for maximum flexibility and endless opportunities for growth and development. If you are passionate, innovative, and ready to raise the bar, come join us at NiCE! Requisition ID: 7474 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE: NICELtd. (NASDAQ: NICE) is a global leader in software products used by over 25,000 businesses worldwide. With a focus on delivering exceptional customer experiences and ensuring public safety, NiCE is known for its innovation in AI, cloud, and digital domains. Join our team of over 8,500 employees across 30+ countries and be part of our journey towards excellence.,

Intuit is a global financial technology platform that powers prosperity for the people and communities it serves. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, Intuit believes that everyone should have the opportunity to prosper. The company is continuously working to find new and innovative ways to make this possible. As a Staff Front End Engineer at Intuit, you will be part of a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In the pursuit of becoming AI-native, Intuit recognizes the importance of fostering a "builder" mindset. This involves seeking individuals who can seamlessly integrate AI and emerging technologies to efficiently solve customers" problems. Intuit holds a global leadership position in financial management solutions and has a history of inventing Virtual Platforms and democratizing cloud computing for small businesses. The company's expertise, rooted in a startup mentality, enables it to constantly identify cutting-edge technology and design paradigms. The teams at Intuit are dynamic and focused on delivering creative solutions with a touch of fun. **Responsibilities:** - Create Front End solutions to deliver exceptional customer experiences. - Translate customer insights into mockups, wireframes, and proof-of-concept code. - Lead a small team to solve complex programming and design issues. - Contribute to project design and architecture and execute on web, mobile, and front-end software development. - Provide technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/features to ensure high-quality solutions. - Proactively identify opportunities to enhance software applications with AI technology. - Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications and building their technical expertise for efficient and effective outcomes. - Launch AI integrations in production and evaluate their impact on software performance and user satisfaction using appropriate metrics. **Qualifications:** - BS/MS in computer science or equivalent work experience. - 7+ years of experience developing web, software, or mobile applications. - Experience with JavaScript, Typescript, React, HTML, CSS. - Familiarity with the software design/architecture process and the entire Software Development Life Cycle (SDLC). - Experience with web services (consuming or creating) using REST or SOAP. - Ability to explain complex technical issues to both technical and non-technical audiences. - Expertise in unit testing and Test Driven Development (TDD). - Experience with highly scalable and available web applications. - Experience with open-source technologies. - Proficiency in building functional AI models and monitoring their performance in production. - In-depth understanding of AI integration and the ability to lead the integration process effectively. - Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.,

You will be part of a team dedicated to pushing the frontiers of AI technology by joining us as a Senior Python Developer. This role is perfect for individuals who are passionate about creating innovative solutions and aspire to be at the forefront of AI advancements. You will be involved in various US-based projects where you will develop both commercial and research AI solutions. Your responsibilities will include writing effective, high-quality code to train and evaluate AI models. You will use your business sense and analytical abilities to extract valuable insights from public databases. It will be important for you to clearly articulate the reasoning and logic behind your code, whether it be in Jupyter notebooks or other suitable mediums. Additionally, you will evaluate and rank AI model responses based on user requests across a wide range of CS topics, providing detailed rationales for your decisions. Your input will also be valuable in enhancing the quality of model response. To qualify for this position, you should have a Bachelors/Masters Degree in Engineering, Computer Science (or equivalent experience). You must possess exceptional critical thinking and problem-solving skills, with a strong understanding of algorithms, data structures, system design, coding practices, etc. Proficiency in Python syntax and conventions is essential. Prior experience in Software Quality Assurance and Test Planning would be a plus. Strong verbal and written English communication skills are required to effectively convey ideas clearly and comprehensively.,

You will be working as a Databricks Developer with 3-6 years of experience, located in India. Joining the data engineering and AI innovation team, your main responsibilities will include developing scalable data pipelines using Databricks and Apache Spark, implementing AI/ML workflows with tools like MLflow and AutoML, collaborating with data scientists to deploy models into production, performing ETL development, data transformation, and model training pipelines, managing Delta Lake architecture, and working closely with cross-functional teams to ensure data quality and governance.,

As an AI Architect at NiCE, you will be responsible for building scalable AI systems and infrastructure capable of handling large datasets while ensuring performance, reliability, and maintainability. You will lead the development of secure, compliant data and machine learning pipelines to align with data governance and regulatory standards such as GDPR. Your role will involve designing, developing, and implementing AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentoring and guiding team members on AI technologies, best practices, and system architecture will be a key aspect of your role, fostering a culture of continuous learning and innovation within the organization. You will collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. Additionally, you will be responsible for establishing and promoting ethical and responsible AI practices across the organization. Your impact will also include taking ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. You will conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. Furthermore, you will develop and maintain AI applications using modern frameworks such as TensorFlow, PyTorch, LangChain, and Haystack, running experiments to evaluate and improve model performance. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience as an AI Architect or in a similar senior AI/ML role is required, along with a track record of deploying multiple AI solutions in production. Proficiency in cloud platforms such as Azure or AWS is essential, as well as strong expertise in AI/ML technologies, RAG architectures, and Vector Databases. Your proficiency in programming languages like Python, .NET, or similar, along with familiarity with AI/ML frameworks and libraries, will be crucial. Experience with AI project Software Development Lifecycle (SDLC), model versioning, CI/CD for ML, and AI testing strategies is also necessary. Strong analytical and problem-solving skills, along with excellent communication skills to convey complex technical concepts, are highly valued in this position. Join NiCE, a global company known for market disruption and innovation, where you will work in a fast-paced, collaborative, and creative environment. Embrace the NICE-FLEX hybrid model that offers maximum flexibility with a balance of office and remote work, enabling teamwork, collaboration, and innovation. If you are passionate, innovative, and eager to push boundaries, NiCE offers endless internal career opportunities for growth and development across various roles, disciplines, domains, and locations.,

The Data Science Consultant position is a challenging opportunity for someone with 4-9 years of experience. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. We are looking for a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist, you will be tasked with developing AI models and applying GenAI techniques in various areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. In this role, you will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. You will also be responsible for developing and implementing GenAI based solutions through contextual prompt engineering and prompt tuning, and supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions will be a key part of your responsibilities. You will design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Additionally, you will architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Experience with cloud platforms, particularly Azure/GCP, and familiarity with AWS will be beneficial in this role. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. If you are seeking a challenging role that allows you to apply your data science skills and industry knowledge, this position is ideal for you.,

At PwC, we focus on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Our team utilises advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. As a Data Analyst at PwC, you will play a crucial role in utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. We are currently seeking a highly skilled MLOps/LLMOps Engineer to join PwC US - Acceleration Center. In this role, you will be responsible for the deployment, scaling, and maintenance of Generative AI models. Working closely with data scientists, ML/GenAI engineers, and DevOps teams, you will ensure seamless integration and operation of GenAI models within production environments at PwC and our clients. The ideal candidate will have a strong background in MLOps practices, coupled with experience and interest in Generative AI technologies. As a candidate, you should have a minimum of 4+ years of hands-on experience. Core qualifications for this role include 3+ years of experience developing and deploying AI models in production environments, with a year of experience in developing proofs of concept and prototypes. Additionally, a strong background in software development, proficiency in programming languages like Python, knowledge of ML frameworks and libraries, familiarity with containerization and orchestration tools, and experience with cloud platforms and CI/CD tools are essential. Key responsibilities of the role involve developing and implementing MLOps strategies tailored for Generative AI models, designing and managing CI/CD pipelines specialized for ML workflows, monitoring and optimizing the performance of AI models in production, collaborating with data scientists and ML researchers, and ensuring compliance with data privacy regulations. You will also be responsible for troubleshooting and resolving issues related to ML model serving, data anomalies, and infrastructure performance. The successful candidate will be proficient in MLOps tools such as MLflow, Kubeflow, Airflow, or similar, have expertise in generative AI frameworks, containerization technologies, MLOps and LLMOps practices, and cloud-based AI services. Nice-to-have qualifications include experience with advanced GenAI applications, familiarity with experiment tracking tools, knowledge of high-performance computing techniques, and contributions to open-source MLOps or GenAI projects. In addition to technical skills, the role requires project delivery capabilities such as designing scalable deployment pipelines for ML/GenAI models, overseeing cloud infrastructure setup, and creating detailed documentation for deployment pipelines. Client engagement is another essential aspect, involving collaboration with clients to understand their business needs, presenting technical approaches and results, conducting training sessions, and creating user guides for clients. To stay ahead in the field, you will need to stay updated with the latest trends in MLOps/LLMOps and Generative AI, apply this knowledge to improve existing systems and processes, develop internal tools and frameworks, mentor junior team members, and contribute to technical publications. The ideal candidate for this position should hold any graduate/BE/B.Tech/MCA/M.Sc/M.E/M.Tech/Masters Degree/MBA. Join us at PwC and be part of a dynamic team driving innovation in data and analytics!,

As a Machine Learning Engineer, you will be responsible for designing and implementing end-to-end ML pipelines using GCP services and ETL tools. Your role will involve deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential to implement MLOps practices, including CI/CD pipelines using Git, to ensure seamless operations. Additionally, creating and maintaining technical architecture diagrams for GCP service implementations will be part of your routine tasks. Your expertise in Machine Learning and Deep Learning concepts will be crucial for this role. Extensive experience with GCP services, particularly AI/ML offerings, is required to excel in this position. Proficiency in MLOps practices and tools is essential, along with hands-on experience in Docker, Kubernetes, and Git. Furthermore, experience in frontend development and API integration will be beneficial for developing frontend applications that integrate with ML and AI backend services. In this role, you will also be responsible for optimizing big data processing workflows and ML model performance. Knowledge of big data processing and analytics is expected, along with the ability to create clear technical documentation and architecture diagrams to ensure effective communication within the team. Preferred qualifications for this position include Google Cloud certifications, experience with AI and GenAI models and applications, and a background in full-stack development. An understanding of microservices architecture, experience with data pipeline optimization, and proficiency in Python, HTML, and JavaScript will further strengthen your candidacy for this role.,

Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (BSc preferred) Teaching, tutoring, or content creation experience is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (BSc preferred) Teaching, tutoring, or content creation experience is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities Design and implement AI models for document processing, OCR, and data extraction from financial documents Develop machine learning pipelines for invoice classification, vendor matching, and payment prediction Build AI-powered reconciliation algorithms that can identify discrepancies and suggest corrections Prototype and iterate on natural language processing solutions for financial workflow automation Collaborate on end-to-end AI system architecture from data ingestion to model deployment Experiment with large language models and fine-tuning for financial domain applications Implement MLOps practices for model versioning, monitoring, and continuous improvement Required Qualifications 4+ years of experience in machine learning and AI development Strong proficiency in Python, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with computer vision and OCR technologies (OpenCV, Tesseract, cloud OCR APIs) Knowledge of NLP and experience with transformers, BERT, or similar architectures Familiarity with cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) Experience with data processing frameworks (Pandas, NumPy, Apache Spark) Understanding of financial processes (invoicing, payments, reconciliation) preferred Comfortable with rapid prototyping and iterative development approaches Preferred Qualifications Experience with document AI and intelligent document processing Knowledge of financial regulations and compliance requirements Experience with vector databases and retrieval-augmented generation (RAG) Familiarity with API development and microservices architecture Experience with containerization (Docker, Kubernetes)

Title- AI Engineer Experience - 4 to 6 Years Location - Noida Sec 126 Note-We are looking for a candidate who can Join within July and or having maximum 1 month of Notice period Skills Python Agentic Frameworks AI Models LangGraph Agentic workflows Vector Database AI/ML LLM RAG CrewAI Project Highlights We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Roles and Responsibilites Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Requirements 4 -6 years of software engineering or AI/ML experience, with 2+ years in agentic or LLM-based system design. Hands-on experience with LangGraph, CrewAI, AutoGPT, BabyAGI, or similar frameworks. Proficiency in Python and common AI/LLM libraries (LangChain, OpenAI API, Hugging Face, etc.). Strong grasp of agent lifecycle, orchestration, and autonomy patterns (e.g., ReAct, Plan-and-Execute, hierarchical agents). Experience in integrating LLM agents with tools (APIs, search, file systems, databases) and managing secure, compliant interaction models. Solid understanding of vector stores , memory architectures, and context management strategies. Experience deploying agentic frameworks in large-scale enterprise environments (finance, telecom, healthcare, etc.) and Knowledge of LangGraph's stateful workflows will be a plus. Benefits Of Working With Us Opportunities to work in Latest Technologies. Challenging / Complex Development Projects. Working with Large clients. Strong Development & Delivery Processes. Focus on Learning and Development. Send your profile to: nikita.gautam@innovationm.com or you can connect over linkedin:- https://www.linkedin.com/in/gautamnikita/

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

Conduct advanced research in AI and machine learning, specifically focusing on LLMs for code generation and comprehension Implement or optimise state-of-the-art AI models to enhance our AI pair programming capabilities Develop and refine algorithms for contextual code retrieval, reranking, and efficient use of vector databases Collaborate with the development team to integrate research findings into our VS Code extension Contribute to the improvement of developer workflow optimisation through AI-assisted coding Evaluate and fine-tune models to ensure high-quality code suggestions and analysis Stay abreast of the latest advancements in AI research and propose innovative applications for our product

Job Description: Job Timings: Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Location : Valsad, Gujrat Responsibilities: Design, develop, and maintain .NET applications. Able create plug and play library for .net applications. Hands on knowledge in SQL Database Implement AI solutions. Develop APIs and services to support AI functionalities. Know well about setup load balancing between database and application. Third Party integration ( scrapping data from other website) Advantage having knowledge of UI technology (Angular) Ensure the performance, quality, and responsiveness of applications. Troubleshoot and resolve software defects and issues. Stay updated with the latest industry trends and technologies in AI and .NET development. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a .NET Developer. Experience with AI tools like AWS generative AI, . Proficiency in C# and .NET framework. Familiarity with cloud platforms (e.g., Azure, AWS) and their AI services. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with DevOps practices and CI/CD pipelines.

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

We are seeking a data-savvy, analytically-driven professional for our R&D and Technology team as a Data & Business Analytics Specialist . This role is critical in driving insight-led innovation and improving operational and editorial efficiency across our publishing services. Key Responsibilities Analyze structured and unstructured data from editorial, production, and client systems to derive insights that support strategic decision-making. Ensure effective use of dashboards and performance metrics for internal use and client reporting. Collaborate with R&D teams to provide data insights that inform the development of AI models, automation tools, and process improvements. Monitor and evaluate process performance (e.g., turnaround time, quality metrics, editorial rework) to identify trends, bottlenecks, and opportunities for optimization. Support forecasting and capacity planning through predictive analytics models. Contribute to client-specific data presentations, demonstrating the impact of TNQs services on their publishing programs. Act as a bridge between data, technology, and business teams to ensure alignment between analytics outputs and business goals.