1877 Computer Vision Jobs

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

You will be responsible for the full-time on-site role of a Head of Artificial Intelligence based in Jalandhar. In this position, you will oversee AI and Machine Learning projects, offering strategic guidance and technical expertise. Your duties will include developing and implementing AI solutions, managing a team of AI specialists, collaborating with cross-functional teams to integrate AI technologies, and ensuring the successful deployment of AI models in real-world applications. To excel in this role, you must possess strong expertise in Computer Science and Data Science, proficiency in Pattern Recognition techniques, experience with Natural Language Processing (NLP) and related technologies, as well as knowledge and hands-on experience in Computer Vision. Additionally, excellent leadership and team management skills, strong analytical and problem-solving abilities, and a Master's or Ph.D. in Computer Science, Data Science, or a related field are required. Previous experience in leading AI projects from concept to deployment will be advantageous. Furthermore, your role will involve creating AI videos for fashion brand campaigns, specifically focusing on the fashion category. For instance, you will work on leather shoes, leather jackets, and leather travel bags using PATINA service to produce unique pieces across categories with bespoke service.,

As a Lead AI ML Developer at Reverence Technologies, you will be leading a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics projects. In this full-time onsite role, located in Noida & Kochi, you will be responsible for collaborating with cross-functional teams to understand business requirements, develop project plans, and ensure the scalability and maintainability of AI/ML solutions. With over 10 years of experience, you will leverage your expertise in developing and deploying machine learning models to guide the team towards successful project outcomes. Your role will involve staying updated with the latest AI/ML research and technologies to evaluate their impact on business operations, in addition to managing team performance, providing mentorship, and fostering a positive team culture. To qualify for this position, you should have a minimum of 6 years of experience in developing and deploying machine learning models, along with at least 3 years of experience in leading machine learning teams. Strong programming skills in C++ and other relevant languages are essential, as well as familiarity with machine learning libraries such as OpenCV, OpenVino, TensorFlow, PyTorch, etc. Experience with cloud platforms like AWS, GCP, or Azure will be advantageous, along with excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. **Responsibilities:** - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and have deployed open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. **Key Requirements/Skills & Qualifications:** - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in Machine Learning, Large Language Models, Retriever augmented generation, prompt engineering, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, API Deployment, and webapps creation. - Additional skills requirements include excellent written, oral, presentation and facilitation skills, project management experience, knowledge of firms reporting tools and processes, proactive, organized, and self-sufficient with the ability to prioritize and multitask. **What We Look For:** - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. **What Working at EY Offers:** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers to the complex issues facing our world today.,

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

As a highly skilled Senior Gen AI Engineer, you will be responsible for developing and deploying AI solutions across various domains. Your role will involve designing and implementing deep learning models, utilizing large language models, working with databases for data management and analysis, and implementing AI solutions on cloud platforms like Azure and AWS. Additionally, you will develop containerized applications using Docker and other containerization tools to drive business value and enhance operational efficiency. To qualify for this role, you should have a Bachelor's degree in computer science, engineering, or a related field from Tier 1 colleges. You should possess at least 3 years of experience in AI/ML, particularly in computer vision, generative AI, and NLP. Proficiency in programming languages such as Python and C is essential, along with a strong background in deep learning and large language models. Familiarity with various databases and vector databases, as well as hands-on experience with cloud services and containerization tools like Docker and Kubernetes, are also required. If you are passionate about AI and have a proven track record in developing and deploying AI solutions, this role offers an exciting opportunity to contribute to cutting-edge projects that drive innovation and business growth. Join our team in Pune/Bangalore and be part of a dynamic work environment that supports hybrid work mode.,

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG) is responsible for creating all of KLA's metrology and inspection products. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from various markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface macro inspection that is critical for various processes. LS-SWIFT operates globally and serves a worldwide customer base. Responsibilities: - Design, develop, and implement cutting-edge deep computer vision, signal processing, machine learning, or image processing algorithms - Rapidly prototype and validate new image processing and machine learning ideas - Develop end-to-end solutions considering system, imaging pipeline, user experience, and end application requirements - Collaborate in a highly cross-functional organization for systems integration of algorithms - Write robust production-quality code - Take ownership of prototype to production of algorithms Requirements: - Strong background in signal processing, machine learning, deep learning, computer vision, and image processing - Proficiency in C/C++, Matlab, Python, and object-oriented design - Experience in design and rendering software is a plus - Knowledge of common deep learning frameworks like TensorFlow and PyTorch - Ability to formulate problems into mathematical equations - Team player with excellent written and verbal communication skills - Ability and willingness to travel worldwide to support demos and projects at customer sites Minimum Qualifications: - Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years KLA offers a competitive, family-friendly total rewards package and is proud to be an equal opportunity employer. Be cautious of potentially fraudulent job postings and recruiting activities. KLA does not ask for financial compensation for interviews or equipment, nor work with recruiters who charge such fees. If you have concerns about the legitimacy of any communication, interview, or offer, please contact talent.acquisition@kla.com for verification.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

You will be joining LTIMindtree, a global technology consulting and digital solutions company that empowers enterprises to rethink business strategies, drive innovation, and achieve growth through digital technologies. With a team of over 86,000 professionals in more than 30 countries, LTIMindtree collaborates with 700+ clients to provide domain expertise and technological solutions for competitive advantage, enhanced customer experiences, and business success in today's fast-paced world. As a Data Scientist/Lead/Architect, your responsibilities will include developing AI and machine learning models using Microsoft Azure AI tools like Azure Machine Learning Cognitive Services and OpenAI integration. You will support data collection, cleaning, and preprocessing for structured, unstructured, and geospatial datasets, including data from Esri platforms. Collaborating with software engineers, data scientists, GIS analysts, and business stakeholders, you will integrate AI functionality into modern mobile and web applications. Additionally, you will build, deploy, and monitor AI solutions using Azure to ensure scalability and performance. Your role will also involve creating and maintaining technical documentation, participating in product planning and agile development meetings, and staying updated on the latest advancements in Microsoft AI, including Responsible AI practices and Azure OpenAI capabilities. You will champion the adoption of AI and GIS technologies within the organization through demos, technical workshops, and stakeholder presentations. To excel in this role, you should have proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Microsoft Azure tools for AIML model training, deployment, and monitoring is essential. Familiarity with Esri's ArcGIS platform, Python-based tools like ArcPy, and understanding of spatial data, GIS workflows, and data visualization using maps are required. Strong problem-solving skills, attention to detail, and clear communication abilities with both technical and non-technical audiences are key for success in this position. Preferred skills include experience with Azure Machine Learning Cognitive Services, Power Platform, Power BI, Power Automate, cloud-native architectures, DevOps practices, Esri products like ArcGIS Online, ArcGIS Pro, and ArcGIS Enterprise, as well as exposure to containerization, Docker, REST APIs, and deploying ML models into production environments. An interest in NLP, computer vision, or predictive analytics in a GIS context will be advantageous. For qualifications, a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Geographic Information Systems, or related fields is required, while a Master's degree is a plus. Internship or project experience applying AIML techniques using Microsoft tools and cloud services is preferred. Motivation to stay current with evolving Azure AI and GIS technologies, excellent interpersonal, organizational, and written communication skills, and the ability to manage multiple priorities and deliver high-quality work in a fast-paced, agile development environment are essential qualities for this role. LTIMindtree is committed to being an equal opportunity employer and promotes diversity and inclusion initiatives to create a gender-sensitive and inclusive work environment. These initiatives focus on the development, engagement, growth, and retention of women in the workplace.,

You are a motivated and detail-oriented individual seeking an opportunity as an Entry-Level Image Data Annotation Specialist. This role is ideal for recent graduates or anyone interested in starting a career in the dynamic field of machine learning and computer vision. As an Entry-Level Image Data Annotation Specialist, you will be exposed to cutting-edge technology and have the chance to contribute to innovative projects that advance the frontiers of artificial intelligence. Your responsibilities will include learning to extract images from videos and identifying appropriate frames for annotation, tagging and annotating image data under the guidance of experienced team members, documenting annotations and insights to provide valuable information for the machine learning team, converting annotated files into text format to support the preparation of training data, collaborating with the engineering team to refine training data and assist in continuous improvement efforts, and offering insights to the machine learning team on data characteristics and nuances. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. We are specifically seeking freshers or recent graduates who possess a strong interest in machine learning, computer vision, and artificial intelligence. A basic understanding of image processing concepts and computer vision algorithms, along with coursework or projects in these areas, would be advantageous. Attention to detail, a commitment to accuracy in annotation tasks, excellent communication and teamwork skills, and the ability to quickly learn and adapt to new technologies and tools are also essential attributes for this position.,

As a Junior Data Scientist at GWC DATA.AI in Kolkata, India, you will be part of a dynamic Data Science team, collaborating with senior professionals to work on data analysis, predictive modeling, and business intelligence projects. This role is ideal for recent graduates or individuals with up to 2 years of experience in data analytics or machine learning. Your responsibilities will include collecting, cleaning, and analyzing large datasets, building machine learning models and algorithms, creating data visualizations, collaborating with cross-functional teams, and documenting data science workflows and outcomes. You will also be expected to stay updated on the latest trends and technologies in the field of data science. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python or R for data analysis, familiarity with SQL, and a solid understanding of statistics, data wrangling, and exploratory data analysis are required. Additionally, having skills in Machine Learning, Deep Learning, NLP, Computer Vision, and GenAI will be beneficial. Strong problem-solving and communication skills, along with a willingness to learn in a fast-paced environment, are essential. This is a full-time position with benefits including paid sick time and Provident Fund. The work schedule is during the day shift, and the role requires in-person work in Kolkata, West Bengal. If you are passionate about data science and looking to grow your career in a collaborative environment, we encourage you to apply before the application deadline on 10/08/2025.,

At Murf AI, we're simplifying multimedia creation by harnessing the power of artificial intelligence. Our platform empowers users to craft high-quality voiceovers effortlessly, without the need for recording equipment. Some interesting facts about Murf AI: Customers in 100+ countries 1Mn+ registered users 6X growth in revenue in the last 12 months 120+ voices in 20+ languages offered by Murf Studio Consistently rated a Leader and Momentum Leader on G2 in the text-to-speech category in 2023 and 2022 Working on bleeding-edge research problems in synthetic speech, synthetic video, and dubbing. We are seeking a highly skilled and innovative Research Scientist specializing in Generative Video AI to join our dynamic team. As a Research Scientist, you will play a pivotal role in developing cutting-edge algorithms and models for creating synthetic videos, avatars, and lip syncing applications. Your expertise in AI, computer vision, and image processing will be instrumental in advancing our technology and pushing the boundaries of generative video AI. This is an exciting opportunity to work at the forefront of AI research and contribute to groundbreaking advancements in the field. An ideal candidate will hold a Ph.D. in AI or Computer Science with a specialization in Computer Vision, Image Processing, or related fields with 3+ years of additional relevant work experience. Roles & Responsibilities: Conduct research in the field of generative video AI, focusing on synthetic videos, avatars, and lip-syncing use-cases Develop algorithms and models based on state-of-the-art computer vision and machine learning advancements, especially in the areas of generative AI (e.g. image, video, or 3D generation) Collaborate with cross-functional teams to understand requirements, identify research problems, and propose innovative solutions Collect and curate large-scale datasets for training and evaluating video generation models Develop and optimize computational pipelines for video generation, ensuring efficiency and scalability Stay up-to-date with the latest advancements in generative video AI, attending conferences, publishing research papers, and actively contributing to the scientific community Provide technical guidance and mentorship to junior researchers and engineers Collaborate with product teams to integrate research findings into practical applications and drive commercialization efforts Contribute to patent filing and intellectual property protection activities, as applicable Skills & Qualifications: Strong background in generative models, deep learning such as GANs, NeRFs, VAEs, Diffusion Models, etc. Solid understanding of image processing and computer vision techniques in general Ability to conduct original research and first principles problem-solving Ability to collaborate effectively in a team environment and lead research initiatives Proficiency in programming using Python and either TensorFlow or PyTorch Proven publications in computer vision or artificial intelligence peer-reviewed top-tier conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.) or leading Journals (LNCS, PAMI, TOG, etc.) published by IEEE, ACM, Springer, Elsevier, etc. Experience with large-scale data collection and curation is a plus Benefits/Perks: Collaborative and stimulating work environment Opportunity to work with cutting-edge technologies and make a significant impact in the field of generative video AI Insurance/healthcare coverage as per company policy Leaves available as per company policy Why Murf.ai Murf AI is revolutionizing creative workflows for businesses through the utilization of our cutting-edge AI technology. Recognized as a consistent Leader and Momentum Leader on G2 in 2022 and 2023, we empower L&D and creative teams to evolve into dynamic creative powerhouses. With a focus on cutting-edge research and innovation, a positive work culture, and real impact in the AI-driven space, Murf.ai is one of the fastest-growing companies in the AI voice space. Join us at this pivotal moment, where your ideas matter, and your leadership can leave a lasting impact. If you're ready for a challenge and have the vision to lead from the front, Murf.ai is where your journey into the next chapter of AI innovation begins.,

This role is for one of the Weekday's clients. We are an innovative company at the forefront of AI-driven solutions, specializing in cutting-edge technologies to solve real-world problems. We are seeking a talented and passionate Computer Vision Engineer with expertise in both Computer Vision and Natural Language Processing (NLP) to join our dynamic team. Key Responsibilities: Develop and implement state-of-the-art computer vision algorithms for image and video processing tasks such as object detection, image segmentation, feature extraction, and recognition. Design, build, and deploy NLP models for tasks such as text recognition from images (OCR), sentiment analysis, and text classification. Collaborate with data scientists and machine learning engineers to integrate computer vision and NLP models into production systems. Work with large datasets to train and fine-tune models, ensuring high accuracy and performance. Conduct research to stay updated on the latest advancements in computer vision and NLP, and apply them to ongoing projects. Optimize model performance for real-time applications on various platforms (e.g., cloud, mobile, edge devices). Analyze and preprocess datasets including images, videos, and text for training and validation. Collaborate with cross-functional teams to ensure seamless integration of computer vision and NLP components within larger applications. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience (3+ years) in developing computer vision solutions and NLP models. Strong proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, Keras, and scikit-learn. Hands-on experience with deep learning frameworks (e.g., CNNs, RNNs, Transformers) for both computer vision and NLP tasks. Expertise in Natural Language Processing tasks such as tokenization, text embedding, and sequence-to-sequence models. Familiarity with Optical Character Recognition (OCR) tools and techniques. Experience working with datasets for object detection, semantic segmentation, and text recognition from visual data. Proficiency in deploying and scaling machine learning models in production environments (AWS, GCP, Azure). Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Preferred Skills: Knowledge of Reinforcement Learning (RL) and how it can be applied to vision tasks. Familiarity with multimodal machine learning, integrating vision and language models. Experience in edge computing for deploying models in real-time environments. Strong understanding of cloud-based AI/ML pipelines.,

As a Senior AI Architect at Dailoqa, you will have the opportunity to shape the future of AI within the financial services industry. Dailoqa is a dynamic company at the forefront of combining human expertise with artificial intelligence to address complex challenges in the financial sector. Led by a global team of former CIOs and industry leaders, we are focused on making a high impact with our innovative solutions. To be successful in this role, you should have over 15 years of experience in the tech industry, with a minimum of 8 years specifically in machine learning and data science, and 4-5 years in Generative AI. You should possess a track record of developing scalable AI solutions tailored for enterprise applications. Additionally, you should have deep expertise in GenAI, NLP, Computer Vision, LLMs, and RAG strategies. Proficiency in Python, REST APIs, NoSQL, RDBMS, and cloud platforms such as Azure, OpenAI, Databricks, and Synapse is essential. At Dailoqa, your responsibilities will include collaborating with financial services clients worldwide, designing end-to-end AI solutions that deliver tangible business value, leading agile cross-functional teams, and working in a fast-paced, innovation-driven environment. This role offers the opportunity for rapid growth and the chance to play a significant role in shaping the company's future. We are seeking individuals who are passionate about leadership, mentoring, and innovation. If you thrive in a fast-paced, customer-focused, and mission-driven environment that values simplicity, agility, and impact, Dailoqa could be the perfect fit for you. If you are looking to be part of a team that is committed to building the future of AI and are eager to be fully immersed in a dynamic, forward-thinking organization, we encourage you to apply. Please submit your resume to Arundhati@manasamitr.com to be considered for this exciting opportunity. Join us at Dailoqa and be a part of a team that is dedicated to revolutionizing the financial services industry through the power of artificial intelligence. #AIJobs #GenerativeAI #SeniorAIArchitect #TechJobs #ML #FinTech #Dailoqa #ArtificialIntelligence #Hiring #AILeadership,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 1000 companies. With a presence in more than 45 countries across five continents, Evalueserve excels in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate clients" business impact and strategic decision-making. The team at Evalueserve consists of 4,500+ talented professionals operating across 45 countries, spanning India, China, Chile, Romania, the US, Canada, as well as emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in multiple countries, Evalueserve offers a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. Evalueserve University has been established to design and deliver a Global Learning Strategy integral to business success. From new graduate onboarding to leadership skill development workshops and domain-specific knowledge programs, the university strengthens structured learning opportunities. As a member of the Evalueserve team, you will partner with business leaders and subject matter experts to design and deliver learning programs focused on developing key competencies in Data Science. You will manage, enhance, and deliver signature boot-camp training programs for new hires globally and collaborate with Operations to identify training needs for on-role analysts. Additionally, you will create new learning content, monitor training quality and effectiveness, and ensure alignment with business needs. To excel in this role, you should have 5-10 years of experience in Data Science, along with proficiency in Cloud Fundamentals (Azure/AWS/GCP), Python, Machine Learning, LLM Ops, MLOps, Project Management, and NLP. Advanced skills in Computer Vision, Deep Learning, and other frameworks are desirable. Experience in Data Warehousing/Data Engineering/Big Data is an added advantage. A graduation degree is a prerequisite, along with excellent communication and interpersonal skills, and proficiency in Excel and PowerPoint. If you are ready to elevate your impact through innovation and learning, Evalueserve welcomes you to join its dynamic team and contribute to its mission of delivering cutting-edge solutions to clients worldwide.,

As an AI/ML Model Developer in this role, your core responsibility will be to build and optimize AI/ML models by leveraging Azure-based AI tools, TensorFlow, PyTorch, and similar frameworks. You will focus on the Logistics & Maritime industries, addressing complex business challenges using AI. Your expertise in cloud-based AI services for data storage, processing, and model deployment, with extensive use of Azure (and optionally AWS), will be crucial in this position. Your key responsibilities will involve designing, developing, and implementing machine learning algorithms. You will collaborate with business teams to translate requirements into technical AI/ML solutions, ensuring data quality for training models through data preprocessing. Using cloud tools like Azure/AWS, you will optimize models for high performance, perform training, tuning, and evaluation of models for continuous improvement. Staying updated on advancements in AI/ML, exploring new techniques, and providing data analysis & visualization to support business decision-making will be essential. You will also enhance existing products with AI-driven features such as automation, prediction, and recommendations while maintaining records for AI models, pipelines, and experiments. To qualify for this position, you should hold a Bachelor's/Master's degree in Engineering Science, Data Science, or a related field, along with 3-4 years of relevant AI/ML experience, preferably in Logistics and Maritime sectors. Key skills and technologies required include proficiency in programming languages like Python, R, or Java, expertise in machine learning techniques such as supervised/unsupervised learning, regression, classification, and clustering. Familiarity with AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn, and experience with cloud platforms like AWS or Azure tools for AI services are necessary. Specific experience with Logistics and Maritime products, along with additional skills in deep learning, NLP, and computer vision, will be advantageous. Strong analytical thinking, problem-solving, and communication skills are essential soft skills for this role. This is a full-time, permanent position with a day shift schedule that requires in-person work at the designated location.,

The key responsibilities for this role include deploying and optimizing computer vision and deep learning models on Jetson family hardware platforms. You will be responsible for developing software to interface with sensors, cameras, and other peripherals to enable efficient data acquisition and processing. Additionally, you will implement and optimize algorithms for real-time applications, ensuring low latency and high performance. Collaborating with cross-functional teams to define system requirements and specifications will also be a part of your role. You will be expected to perform model compression, distillation, pruning, and quantization techniques to optimize model size and improve inference speed. Debugging and troubleshooting software and hardware issues on embedded systems is another key responsibility. Moreover, writing clean, efficient, and well-documented code is essential for this position. Please note that only candidates available for full-time (in-office) roles and able to start immediately are eligible to apply for this position. If you are passionate about pushing the boundaries of satellite-based insights and contributing to shaping the future of technology, we invite you to join our innovative team at SkyServe. Take this opportunity to be a part of Hyspace (SkyServe), a company that aims to remove barriers to accessing knowledge about Earth through autonomous technologies. Our vision is to create a global continual satellite sensing and computing platform by developing technologies and business models that integrate with the changing world. If you are ready to make an impact, we want to hear from you. Apply now and be a part of our exciting journey at SkyServe.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agendas. Requirements (including experience, skills, and additional qualifications): - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and has deployed on open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms - entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualifications: - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in one or more below areas: - Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting, and Clustering) - Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents, etc. - Retriever augmented generation and prompt engineering. - Good understanding of open-source LLM framework like Mistral, Llama, etc., and fine-tuning on custom datasets. - Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) - Natural Language Processing - Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. - Computer Vision - Image Classification, Object Detection, Tracking, etc. - SQL/NoSQL Databases and its manipulation components. - Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and web apps creation, Docker, Kubernetes. Additional skills requirements: - Excellent written, oral, presentation, and facilitation skills. - Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. - Must have demonstrated project management experience. - Knowledge of firm's reporting tools and processes. - Proactive, organized, and self-sufficient with the ability to prioritize and multitask. - Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. - Ability to quickly and easily create/gather/analyze data from a variety of sources. - A robust and resilient disposition able to encourage discipline in team behaviors. What we look for: - A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. What working at EY offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Samsung is a world leader in Memory, LCD and System LSI technologies and is currently seeking exceptional software and hardware talent to join the Samsung Indian Design Centre and the Advanced Computing Lab (ACL) in San Jose, CA. The Samsung Austin Research Center (SARC) in Austin, TX was established in 2010 as one of Samsung's strategic investments in high-performance low-power ARM-based device technology. The GPU design teams in Austin (SARC), San Jose (ACL), and India Bangalore are currently developing a GPU for deployment in Samsung mobile products. Additionally, the System IP team is focused on Coherent Interconnect and memory controller architectures. As a GPU Engineer, you will be part of a team responsible for designing and documenting major units in a GPU pipeline for Mobile graphics applications and potentially other related markets. This mid to senior level position involves working as an individual contributor to drive the functional and cycle simulators for the GPU pipeline. Collaboration with cross-functional teams including RTL design, modeling, and software on various sub-blocks of the end solution is essential. **Role and Responsibilities:** - Design and document major units in a GPU pipeline targeted at Mobile graphics and machine learning. - Develop functional and cycle simulators for the GPU pipeline, including collecting statistics for evaluating potential optimizations, prototyping to test functional correctness, and specifying detailed schemes for next-level hardware and/or software implementation. - Collaborate with implementation, modeling, and software teams to define and develop microarchitecture, software implementation, and/or a verification plan. - Investigate alternate approaches for important GPU workloads, incremental optimizations, and rebalancing to maximize performance in future key workloads. - Work with software developers to understand trends in future graphics and AI applications, addressing problems faced by application and middleware developers. - Find and/or implement applications to exercise novel algorithms in drivers/hardware. **Minimum Requirements:** - Experience using parallel programming. - Knowledgeable in GPU or other parallel processing architectures. - Strong knowledge of GPU architecture, primarily on Linux Stack or Kernel Mode Driver. - Knowledge of key mobile GPU graphics workloads and compute application workloads such as computer vision, image processing, AI, and Image compression. - Knowledge of game applications, game rendering engines, academic papers on advanced rendering techniques desirable. - Expertise in implementing advanced graphics rendering techniques, machine-learning (AI) approaches. - Proven ability to debug complex issues in multi-threaded environments. - Understanding of Operating System fundamentals and concepts. - Familiarity with offline and JIT compiler designs. - Background in Linux and Android development. - Strong C, C++, and Python programming experience or industrial experience in systems programming (driver development a strong plus). - Strong algorithmic background and outstanding problem-solving skills. - System-level performance analysis and strong OS fundamentals (memory management, multithreading/synchronization, user/kernel mode interaction). - Excellent C and C++ programming skills (assembly a plus). - Understanding of rasterization pipeline and modern GPU architectures. - Excellent communication and teamwork skills. - Ability to own a problem and drive it to completion. **Preferred Qualifications:** - Experience working with ARM 64-bit architecture. - Experience developing system software for Android OS. - Knowledge of high-level shading languages, e.g., GLSL/HLSL. - Understanding of modern real-time rendering game engines.,

As an AI Expert with a minimum of 10 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams. Your primary responsibility will be to provide guidance and expertise in the development and implementation of AI solutions. You will work closely with cross-functional teams to ensure successful integration of AI technologies into our products and services. Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning. Key Responsibilities: - Development Governance: Guide internal and external developers and help to remove technical dependencies and impediments during the product development. - Support Product Owner from a technical perspective. - Support in technical planning of the product. - Define enablers for the product backlog. - Consult AI Architect for questions regarding technical requirements. - Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process. - Provide technical expertise and guidance to development teams in the implementation of AI solutions. - Analyze and understand technical requirements and propose AI-based solutions to address complex problems. - Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives. - Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process. - Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization. - Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews. - Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques. - Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization. Qualifications, Experience & Skills: Mandatory skills, competencies & certifications: - Bachelor's or master's degree in Computer Science, Engineering, or a related field. - Minimum of 5 years of experience working in the field of AI, with a focus on solving technical challenges and implementing AI solutions. - Strong knowledge and understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision. - Deep understanding of AI design patterns as well as their immediate implementation. - Deep technical understanding of data processing for consumption/delivery by AI microservices. - Established knowledge of modern software development and microservice frameworks. - Deep understanding of the relevant technology landscape for AI & BI products. - Proficiency in programming languages such as Python, R, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch). - In-depth understanding of Agile methodologies, especially Scaled Agile Framework (SAFe), and experience with PI planning and related activities. - Excellent problem-solving and analytical skills, with the ability to think creatively and propose innovative AI-based solutions. - Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. - Proven track record of successfully delivering AI projects and overcoming technical challenges in complex environments. Preferred skills, competencies & certifications: - Very high proficiency in Python. - Very high proficiency in the most common Python libraries for data science and machine learning: Pandas, Numpy, Scikit-Learn, SciPy, Statsmodels, Keras, TensorFlow, PyTorch, Matplotlib. - High proficiency in dependency management via Pip and Conda. - High proficiency in code versioning via Git. - High proficiency with Jupyter notebooks. - Very good knowledge of MLFlow, both operational and deployment strategies/architectures on cloud and on-premise. - Very good knowledge of Spark (pyspark), Kafka, Hadoop, and data formats for Big Data. - Good knowledge of Flask for the development of microservices. - Good knowledge of containerization via Docker. - Good knowledge of Openshift. - Optional: data visualization tools (Power BI, Tableau). Cloud Experience: - Azure Machine Learning. - Azure Language Service. - Azure OpenAI Service. - Azure Data Lake. - Azure Kubernetes Service. - Databricks.,