9198 Pytorch Jobs - Page 4

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team focuses on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team is responsible for extracting relevant insights, identifying business opportunities, converting business problems into analytical frameworks, utilizing big data tools and machine learning algorithms to build predictive models & other solutions, and designing go-to-market strategies for a variety of business problems. The role available is for an Assistant Vice President (C12) in the TTS Analytics team. Reporting to the VP or SVP leading the team, the role involves leading a team of data scientists and analysts. These individuals will be responsible for the full lifecycle of machine learning model development and deployment. The role also entails working on various data science projects throughout the year across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This includes understanding business needs, designing, developing, and deploying machine learning models, as well as communicating insights and recommendations to stakeholders. The ideal candidate should have a strong understanding of machine learning principles, model development methodologies, and deployment strategies. Leveraging multiple analytical approaches, tools, and techniques to work on different data sources is essential to provide data-driven insights and machine learning solutions to business and functional stakeholders. To qualify for this role, candidates should possess a Bachelor's Degree with 7-10 years of experience in data analytics, a Master's Degree with 6-10 years of experience in data analytics, or a PhD. Essential qualifications include experience in marketing analytics, business problems related to sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention, expertise in various analytical methods, and hands-on knowledge of Data Science and Machine Learning. Candidates should be proficient in tools and platforms such as Python/R, PySpark, SQL, ML libraries like Scikit-learn, TensorFlow, and PyTorch, as well as have soft skills like clear communication, team management, coaching, and driving ideation on analytical projects. Experience in financial services, deep learning, knowledge of GenAI, and LLM are considered advantageous for this role. Proficiency in Tableau and experience in Hive are additional skills that would be beneficial. The candidate should be able to drive clear communication flow between business stakeholders and the team, translate analytical findings into key insights and actionable recommendations, manage high-performance teams, coach and mentor team members, tackle strategic business priorities, work with ambiguity, and contribute to organizational initiatives. This is a full-time role falling under the Decision Management job family group and Specialized Analytics (Data Science/Computational Statistics) job family. If you are a person with a disability and require accommodations, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

As a Lead Python Engineer at Netra Labs, you will be responsible for leading the backend team to develop scalable, secure, and high-performance AI-powered applications. You will work closely with cross-functional teams to ensure seamless integration between AI models, data pipelines, and enterprise applications. Your key responsibilities will include leading the backend development team, designing and maintaining scalable backend services using Python and FastAPI, optimizing databases for efficient data storage and retrieval using MongoDB, integrating AI models and data science workflows into enterprise applications, managing AWS cloud services, automating deployment pipelines, ensuring security, reliability, and system performance optimization, as well as collaborating with data scientists, front-end engineers, and the product team to build AI-driven solutions. To qualify for this role, you should have 4-5 years of experience in backend development with Python, strong proficiency in FastAPI or other modern Python web frameworks, hands-on experience with AWS services, knowledge of Jenkins and CI/CD pipelines, data science expertise, understanding of RESTful API design, microservices, and event-driven architecture, experience in performance tuning, caching, and security best practices, proficiency in Docker and containerized applications, excellent problem-solving skills, and strong communication abilities. Preferred qualifications include experience with Machine Learning frameworks like TensorFlow or PyTorch, knowledge of GraphQL, WebSockets, or gRPC, familiarity with Terraform or Kubernetes for infrastructure as code, and experience with big data processing frameworks such as Apache Spark. If you are passionate about backend development, AI, and cloud computing, and possess the required skills and qualifications, we encourage you to join our dynamic team at Netra Labs and contribute to building innovative AI solutions.,

The company Botminds AI is an enterprise-grade, full-stack Agentic platform designed for the next generation of intelligent automation. Botminds empowers enterprises to develop advanced AI solutions rapidly by combining no-code simplicity with deep AI capabilities. From converting unstructured content into actionable insights to orchestrating workflows and facilitating conversational interfaces, Botminds serves as the AI operating system for enterprise teams. If you are enthusiastic about constructing agentic AI systems that drive crucial decisions in sectors like pharma, finance, legal, and customer experience, this is the ideal environment for you. As a member of the team at Botminds, your responsibilities will include designing and coding LLM-powered solutions for document understanding, summarization, and QA. You will be tasked with constructing and enhancing RAG pipelines utilizing vector databases and embedding models. Additionally, you will fine-tune and deploy open-source LLMs such as LLaMA, Mistral, Falcon, etc. Collaborating with OpenAI, Claude, Gemini, and conducting performance evaluations will also be part of your role. You will integrate machine learning capabilities into products in partnership with engineering and product teams, working with OCR outputs, unstructured text, and domain-specific knowledge bases. It is essential to keep abreast of developments in Generative AI, LLM architectures, and retrieval techniques. The ideal candidate for this position should possess a minimum of 8 years of experience in AI/ML/NLP, with proficiency in Python coding. A strong background in LLMs & Generative AI (minimum 2+ years), expertise in PyTorch / TensorFlow, Hugging Face, LangChain, and familiarity with vector databases (FAISS, Pinecone, Qdrant, Weaviate) are essential. Proficiency in end-to-end RAG pipeline development and prompt engineering, LLM fine-tuning, quantization, and scalable deployment skills are also required. Additional experience with OCR tools (Azure Form Recognizer, Tesseract, Google Vision) and understanding of MLOps and scalable ML system design are considered a bonus. Joining Botminds offers the opportunity to contribute to building GenAI-powered enterprise automation from the ground up. You will be part of a lean, high-impact engineering team with a flat hierarchy, fostering a culture of high ownership and innovation. By joining Botminds, you will play a significant role in shaping the future of intelligent document processing. If you are excited about the prospect of working in a dynamic and innovative environment to drive the future of automation, we encourage you to apply now by sending your profile to Srividhya@botminds.ai. Let's collaborate to build the future of automation together!,

Neuromancer Technologies Private Limited is a deep-tech startup specializing in AI-powered platforms within various industries such as healthcare, energy, finance, and education. Our diverse product suite comprises a Medical Image Annotation Platform, Risk Intelligence Models, and Energy Demand Forecasting & Optimization Tools. We are dedicated to leveraging AI/ML to address industry-specific challenges and are actively seeking early-stage funding to drive growth and product innovation. As the visionary Co-Founder & CTO of Neuromancer Technologies, you will play a pivotal role in steering the company's technological trajectory. Your responsibilities will encompass defining the product architecture, guiding the tech roadmap, establishing and overseeing the tech team, and actively participating in fundraising discussions with potential investors. Key Responsibilities: - Lead the strategic development, architecture, and implementation of AI-driven platforms. - Supervise the end-to-end development of core products, spanning from backend infrastructure to front-end user experiences. - Cultivate and guide a high-performing engineering team. - Collaborate closely with the CEO and founding team to ensure product-market fit and incorporate customer feedback. - Design scalable, secure, and compliant systems, particularly within regulated sectors like healthcare and finance. - Represent the company in investor meetings, contribute to technical due diligence, craft pitch decks, and formulate funding strategies. - Assess emerging technologies and recommend integrations to enhance product value. Ideal Candidate Profile: - Experience: Possess a minimum of 5 years in software development, AI/ML systems, and full-stack architecture. - Leadership: Demonstrate previous involvement in startup/scale-up environments, including managing engineering teams. - Technical Stack (Preferred): Backend - Python, Node.js, Django/Flask; Frontend - React.js, Vue.js; ML/AI - TensorFlow, PyTorch, OpenCV; Cloud - AWS / GCP / Azure; Databases - PostgreSQL, MongoDB, MySQL. - Fundraising: Exposure to the startup fundraising process will be advantageous. - Proficient in data privacy, security standards (such as HIPAA, GDPR), and industry regulations. What We Offer: - Co-founder equity stake. - Influential role in a rapidly expanding AI startup. - Opportunity to shape impactful products that tackle real-world challenges. - Flexible work structure. - Founding team status and alignment with long-term vision. Bonus Skills (Nice to Have): - Previous entrepreneurial experience. - Involvement in securing grants, angel funding, or venture capital. - Knowledge of regulatory and compliance frameworks within the health tech or fintech sectors.,

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity, driving our business priorities alongside meaningful social, community, and societal impact. You will report to the R&D team and play a key role in designing and developing AI-enabled applications for Ciena's Navigator Network Control Suite. Your work will directly contribute to enhancing network performance, automation, and operational efficiency through cutting-edge AI/ML solutions. In this role, you will: - Design, develop, and deliver AI applications using Generative AI, LLMs, Classical ML, and Agentic AI techniques. - Collaborate with cross-functional teams to integrate AIOps capabilities into Ciena's Navigator platform. - Analyze large datasets to uncover actionable insights and support data-driven decisions. - Fine-tune and train AI models tailored to Ciena's product and network application needs. - Participate in code reviews, testing, and deployment to ensure high-quality, scalable software. - Research the latest AI technologies and help define best practices for solution development and deployment. The Must Haves: - Bachelor's degree in Artificial Intelligence, Computer Science, Engineering, or a related field. - 3+ years of experience in developing AI software, particularly for AIOps or Data Science use cases. - Hands-on experience with LLMs, transformers, agentic frameworks, and RAG (Retrieval-Augmented Generation) techniques. - Strong programming skills in Python, Java, or C++. - Experience with machine learning frameworks like TensorFlow or PyTorch. - Familiarity with cloud platforms (e.g., AWS, Azure) and containerization tools such as Docker and Kubernetes. - Proven experience building microservice-based software systems. - Strong grasp of network management protocols and principles. - Effective communicator with the ability to work independently and collaboratively. Assets: - Experience with Ciena network management solutions. - Understanding of AIOps tools and practices. - A Master's or advanced degree in a related field. - Passion for innovation, continuous learning, and solving complex problems. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.,

You will be joining an innovative company that is transforming retail checkout experiences by leveraging cutting-edge Computer Vision technology to replace traditional barcodes. Our platform streamlines and accelerates checkout processes, elevating the shopping journey for both retailers and consumers. As we continue to expand rapidly, we are seeking an Android/Cross-Platform App Developer with a wealth of experience to contribute to shaping the future of retail technology. Your main responsibilities will include leading the research, design, and development of advanced computer vision models for various tasks such as object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. You will be tasked with translating business requirements into scalable scientific solutions by employing state-of-the-art deep learning and classical computer vision techniques. Additionally, designing and executing experiments to assess the performance, robustness, and accuracy of computer vision models in real-world production settings will be a key part of your role. Collaborating with cross-functional teams, including software engineering, product, and data teams to seamlessly integrate vision models into applications is essential for success. You will also be driving innovation through the generation of internal intellectual property (patents, publications) and contributing to the long-term AI/ML roadmap. Providing scientific and technical leadership, mentoring junior scientists, and reviewing designs and architectures will be crucial. To stay at the forefront of the field, you will need to stay current with the latest advancements in AI, deep learning, and computer vision by engaging in academic and industrial research. For this role, you are required to have a M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning. A minimum of 5 years of practical experience in constructing and deploying production-grade computer vision models is necessary. You should possess a solid theoretical foundation and practical experience with deep learning frameworks like PyTorch, as well as model architectures such as CNNs, Vision Transformers, and Diffusion Models. Experience with handling large-scale datasets, training pipelines, and performance evaluation metrics is expected. Proficiency in Python and scientific computing libraries like NumPy, OpenCV, and scikit-learn is essential. Familiarity with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) would be advantageous. Excellent written and verbal communication skills are required, along with a history of mentoring and collaborating with others. Preferred qualifications include experience working with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance), having research papers published in top-tier conferences (CVPR, ICCV, NeurIPS, etc.), exposure to MLOps or ML model lifecycle in production environments, and familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) as well as basic bash scripting skills.,

Job Title: AI Engineer Location: Work from Office | 5 Days a Week Company: Kale Logistics About Kale LogisticsKale Logistics is at the forefront of revolutionizing air and port cargo logistics through intelligent, AI-driven solutions. We are seeking a passionate and experienced AI Engineer to spearhead the development of advanced Generative and Agentic AI applications. Join our mission to create innovative technologies that redefine logistics efficiency and intelligence. Must-HavesPedigree: B.Tech/M.Tech from IIT/NIT/BITS only. Strong proficiency in Python and related frameworks. Hands-on experience with any of the following: LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs PyTorch, TensorFlow Solid foundation in: Algorithms and AI/ML fundamentals Data preprocessing and transformation techniques Nice-to-HavesExperience with MLOps tools and model lifecycle management. Familiarity with Phidata or similar agentic/LLM integration tools. Key ResponsibilitiesDesign, develop, and deploy scalable AI applications using the Python stack. Leverage latest frameworks and APIs to integrate LLM, Generative AI, and agentic workflows into enterprise-grade solutions. Write clean, maintainable, and well-documented code. Build and manage APIs to connect AI models with user-facing applications. Collaborate with cross-functional teams – product, design, and engineering – to define and implement AI strategies aligned with business goals. Conduct research on emerging AI technologies and develop proof-of-concepts (PoCs). Ensure high performance, security, and scalability of AI solutions in cloud environments (AWS, GCP, Azure). Apply MLOps principles for model deployment, monitoring, and optimization. Troubleshoot production issues and perform root cause analysis (RCA) within defined SLAs. Required QualificationsBachelor’s or Master’s degree in Computer Science or related field. Minimum 3 years of hands-on experience in AI/ML application development. Proven experience in deploying AI/ML solutions in production environments. Familiarity with RESTful APIs, cloud platforms, Docker/Kubernetes, Git, and CI/CD pipelines. Soft SkillsSelf-starter with a proactive attitude and strong ownership mindset. Strong analytical and problem-solving skills. Excellent communication skills to explain technical concepts to non-technical stakeholders. Passion for learning and experimenting with cutting-edge AI innovations. Why Join Us?Be part of an innovation-first company reshaping global logistics. Work with a team that values creativity, agility, and excellence. Gain hands-on exposure to next-gen AI/ML frameworks. Competitive compensation, health benefits, and career growth opportunities. Continuous learning environment with access to the latest tools and trends in AI.

As a Data Science Team Lead, you will be responsible for leading and mentoring a high-performing team of data scientists. You will drive end-to-end Machine Learning (ML) and GenAI projects, from ideation to deployment. Your role will involve defining and executing data strategies that are aligned with the business objectives. Collaboration with engineering, product, and business teams will be a key aspect of this position. Ensuring data integrity, governance, and scalable infrastructure will be part of your responsibilities. You will also be expected to implement and manage MLOps practices such as Continuous Integration/Continuous Deployment (CI/CD), monitoring, and model retraining. Staying updated with the latest advancements in AI, GenAI, and ML technologies is crucial for this role. The ideal candidate should be proficient in Python programming, ML frameworks such as TensorFlow and PyTorch, GenAI tools like LLMs, cloud platforms such as AWS, GCP, or Azure, and MLOps pipelines. This position is located in Trivandrum, Kerala, India.,

As an AI Engineer at SOLIZE India Technologies, you will be responsible for developing and optimizing AI models for deployment on edge devices, with a specific focus on anomaly detection and sensor data processing. Your role will involve designing and implementing anomaly detection models using statistical and unsupervised learning techniques, as well as developing and integrating AI models optimized for edge devices. You will work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. Utilizing deep learning architectures such as CNNs, RNNs, LSTM, GRU, and GANs will be a key part of your responsibilities. Additionally, you will be expected to perform model evaluation, optimization, cross-validation, and hyperparameter tuning, as well as visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. To excel in this role, you should have a strong foundation in machine learning and deep learning, along with hands-on experience in Python and AI frameworks. You must possess knowledge of anomaly detection techniques, experience in integrating AI models, and a fundamental understanding of machine learning and deep learning. Proficiency in Python libraries such as TensorFlow, PyTorch, and scikit-learn is essential, as is an understanding of time-series data processing and sensor data processing techniques. Data visualization and analysis skills, as well as AI model optimization and evaluation methods, will also be crucial for success in this position. The ideal candidate for this role is a young to mid-career professional with a flexible mindset and a strong willingness to learn. An interest in Japanese culture, such as anime, would be beneficial. You should have a strong interest in AI and embedded development, excellent problem-solving skills, and a keen interest in Industrial IoT. If you are motivated by self-learning, collaborative team-oriented work environments, and the opportunity to deepen your knowledge in the field, we encourage you to apply for this position. Website: www.solize.com/india,

We are seeking a skilled and enthusiastic Prompt Engineer with substantial experience in Prompt Engineering and LLM-based application development. As a valued member of our team, you will be involved in the construction, deployment, and expansion of GenAI-powered applications utilizing cutting-edge technologies in AI, full-stack development, and cloud computing. Your primary responsibilities will include designing and creating AI applications utilizing Large Language Models (LLMs) like GPT-4, Claude, or LLaMA, crafting, optimizing, and assessing prompts for various use cases, and showcasing proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies. You will be tasked with developing responsive frontend interfaces using frameworks such as React.js, Vue.js, integrating with AI APIs (OpenAI, Azure OpenAI, Cohere, etc.), and working with frameworks like LangChain, LlamaIndex, and RAG pipelines. Furthermore, you will implement vector databases like Pinecone, Weaviate, FAISS for knowledge retrieval, collaborate with cross-functional teams for system integration and deployment, and ensure adherence to best practices in coding, testing, DevOps, and cloud deployment. The ideal candidate should possess proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies, familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face), hands-on experience with Prompt Engineering for Large Language Models (LLMs) such as GPT, Claude, LLaMA, and knowledge of RAG (Retrieval-Augmented Generation), LangChain, or LlamaIndex. Additionally, a good understanding of OpenAI, Azure OpenAI, or similar AI APIs, backend development using FastAPI, Flask, or Express, frontend development using React or Vue.js, and experience with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP) is required. Desirable skills include experience with LangChain, LlamaIndex, or similar frameworks, familiarity with tools like Hugging Face, OpenAI Playground, Azure OpenAI Studio, knowledge of MLOps tools and data pipelines, and an understanding of prompt tuning and fine-tuning LLMs.,

You should have a strong knowledge of Machine Learning and Deep Learning concepts. Hands-on experience in designing and developing Deep Neural Network (DNN) models using ML/DL frameworks like TensorFlow or Pytorch is essential. A deep understanding of DNN layers, topologies, popular architectures such as VGGNet, ResNet, and SRCNN, as well as knowledge of the latest DL techniques, is required. You should also possess good understanding in data creation, analysis, and visualizations. A strong mathematical background and understanding of concepts like Probability, Statistics, back-propagation, and loss functions are necessary. Algorithm design and development skills, along with strong analytical, programming, and debugging abilities, are vital for this role. Knowledge of version control systems like P4 and Git is preferred. Proficiency in programming languages such as C/C++ and Python is a must. Good communication skills, both written and verbal, are also important. Preferred skills include exposure to Image and Signal processing concepts, as well as Computer Vision. Familiarity with Image/Video processing algorithms, Codecs, etc., would be beneficial. The ideal candidate should have a B.Tech/M.Tech/PhD in Computer Science or a related technical field, along with 7 to 10 years of relevant work experience. In summary, this role involves designing and developing AI-based multimedia and camera algorithms, compression, and solution software to meet consumer needs. You will be responsible for optimizing AI solutions on the company's proprietary hardware, developing performance evaluation measures, and evaluating the effectiveness of these solutions. Additionally, you will explore opportunities to apply machine learning in camera, multimedia, and display technologies, while developing methods for collecting data used for model learning and evaluation.,

Unlock Your Future with Nexaminds! At Nexaminds, the mission is to redefine industries with AI by harnessing the boundless potential of artificial intelligence to revolutionize businesses, streamline processes, and fuel growth. Join the visionary journey at Nexaminds, where leadership in AI solutions, innovation, collaboration, and ethical practices pave the way for a future powered by intelligent machines. If you are fueled by ambition, success, fun, and continuous learning, your place is with Nexaminds. The skilled and innovative Data Scientist at Nexaminds will utilize data analytics, machine learning, and statistical techniques to extract insights, develop predictive models, and steer data-driven decision-making processes. Collaborating closely with software engineers, product managers, and stakeholders, the Data Scientist plays a pivotal role in enhancing products and services. Experience: - Typically necessitates a minimum of 8 years of relevant experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience. - Bachelor's degree in computer science, Statistics, Mathematics, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). - Familiarity with Agile development environments. - Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. - Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). - Familiarity with big data technologies (e.g., Hadoop, Spark). Role Dependent Skills: - Proficiency with Azure, Microservice Architecture, C#, SQL, Unit Testing, .NET - Proficiency with PHP, MySQL, Unit Testing, Vue, Javascript, HTML - Experience with Linux operating systems, Ubuntu experience preferred. - Knowledge of AWS, OOP, and/or MVC. - Familiarity with Knockout, Angular, Azure CosmosDB, or other NoSQL databases, Pub/Sub and asynchronous messaging, Docker, MVVM. What you can expect from Nexaminds: At Nexaminds, the workplace culture focuses on creating a friendly and trusting environment to foster individual growth and success. Trust and openness are key elements leading to better quality, innovation, commitment, efficiency, and cost-effectiveness. Additional benefits include stock options, remote work options, flexible working hours, and benefits above standard regulations. Collaboration with exceptional IT professionals, access to mentorship, and abundant learning opportunities are also part of the experience at Nexaminds. Ready to embark on this exciting journey with Nexaminds If you are ready to embrace the challenge and contribute to shaping the future of AI, apply now!,

As a ML Engineer at our organization, you will be expected to have a solid foundation in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). With at least 1+ years of practical experience in developing and implementing data-driven solutions, you will be an integral member of our AI-CoE team. Your responsibilities will involve working on cutting-edge projects that foster innovation and contribute to the business value of our organization. Specifically, your focus will be on creating AI-powered products that offer unique features to differentiate Tata Communications products and services. Your primary duties will include designing, developing, and deploying machine learning systems such as Generative AI models and LLMs. You will be tasked with researching and incorporating the latest ML algorithms and tools, as well as conducting data preprocessing, feature engineering, and statistical analysis. Furthermore, you will be responsible for training, fine-tuning, and optimizing machine learning models to enhance performance and accuracy. Collaboration with diverse teams, including data scientists, software engineers, and domain experts, will be crucial. Additionally, you will need to extend existing ML frameworks and libraries as needed to meet project requirements and remain informed about the latest developments in machine learning and AI. To excel in this role, you must demonstrate proficiency in machine learning and deep learning concepts. Your programming skills should encompass Python, SQL, and popular frameworks/tools like PyTorch, Sci-kit, NumPy, and Gen AI tools such as langchain/llamaIndex. Practical experience in MLOPs principles and executing projects with Big Data in both batch and streaming modes is essential. Proficiency in working with databases (SQL and NoSQL), along with familiarity with MLFlow, KubeFlow, Git CI/CD, Docker, Kubernetes, and containerization/orchestration tools, is required. Strong problem-solving abilities, a proactive approach, effective communication, and teamwork skills are essential for success in this role. Your capacity to manage multiple projects concurrently and deliver within set deadlines will be crucial. Please note that the interview process will include a coding test. We look forward to welcoming a skilled and motivated ML Engineer who is eager to contribute to our innovative projects and drive the development of AI-enabled products that set Tata Communications apart in the market.,

As a Path Planning Algorithm Developer, you will be responsible for leading and developing algorithms for route planning, trajectory optimization, decision making, and open space planning. You will also be involved in developing path planning algorithms for various functionalities such as Lane centering, Automatic Lane Change, Lane Keep Assist, and Automatic Parking. Additionally, you will work on developing perception algorithms for personnel detection, object detection, tracking, classification, terrain mapping, and localization among others. Your role will require you to participate in R&D programs throughout their entire lifecycle, from initial inception to production. You will be expected to research and develop new technology in perception and path planning. Furthermore, you will be responsible for developing production-quality code and taking ownership of your algorithms from design to production. Running simulations for path planning algorithm development and testing various scenarios will also be a part of your responsibilities. You will also have the opportunity to test code on mining and construction equipment. To be successful in this role, you should possess a BE/ME/PhD in Computer Engineering, Robotics Engineering, Mechatronics, Computer Science, Electrical Engineering, Robotics, or a related field. Strong programming skills in C/C++ using Linux OS and middleware such as ROS/ROS2 and DDS are essential. Moreover, you should have a deep understanding of motion planning and control theory, including model predictive control and vehicle dynamic modeling. Knowledge of graph-based data structures like quadtree, octree, KD-tree, and the ability to precisely localize vehicles using techniques such as SLAM are important qualifications. Familiarity with search-based algorithms, path planning algorithms like A*, RRT, D*, as well as obstacle avoidance and behavioral planning will be beneficial. Hands-on experience in robotic and/or vehicle system design and implementation, along with knowledge of vehicle dynamics, kinematics, and modeling, are highly desirable. Experience in programming computer vision/perception systems software and sensor fusion with IMU, GPS, Stereo Cameras, Lidar, Radar, and knowledge of tools like PyTorch, CuDNN, Python, and TensorFlow would be advantageous. Proficiency in ROS for simulation with Path planning, a strong math background, and computational geometry skills are also preferred qualifications. Additionally, experience with embedded systems like NVIDIA Jetson, Xavier, Xilinx, ADAS, MATLab, FPGA, ARM processors, C++ 14/17, and Python will be valuable assets. If you have experience in modern planning approaches, randomized search methods, trajectory optimization, modern model predictive control, and advanced control techniques, along with publications in CVPR, NIPS, ICML, or ICLR, it will be considered an added advantage for this role.,

As an Applied Research Engineer at Tookitaki in India, you will lead cutting-edge AI and machine learning research in regulatory compliance and financial crime detection. With over 6 years of experience, you will focus on developing innovative AI models, optimizing algorithms, and translating research into real-world applications. Your role will involve collaborating with data scientists, engineers, and regulatory teams to create cutting-edge, regulatory-compliant AI solutions. You will play a pivotal role in advancing Tookitaki's AI-driven compliance solutions by developing novel AI/ML algorithms and ensuring their practical implementation. This involves research, design, and implementation of state-of-the-art AI/ML models for fraud detection, risk assessment, and financial crime prevention. You will optimize models for accuracy, efficiency, and scalability across various financial datasets, experimenting with graph-based AI, deep learning, and unsupervised learning techniques to improve detection capabilities. Your responsibilities will also include developing new feature engineering and model selection techniques to enhance AI model performance, optimizing model inference speed for real-time and batch processing scenarios, and exploring federated learning and privacy-preserving AI techniques to ensure data security and compliance. You will work closely with ML engineers and software developers to deploy AI models into production, implement scalable AI pipelines for large-scale financial data processing, and ensure AI solutions are explainable, interpretable, and aligned with regulatory requirements. In addition, you will analyze structured and unstructured financial datasets to extract meaningful features for ML models, design and build robust data preprocessing pipelines to enhance model accuracy and generalization, and work with data engineering teams to ensure efficient and scalable data ingestion. You will develop transparent and explainable AI models to meet financial industry compliance standards, ensure adherence to ethical AI guidelines, fairness, and bias mitigation strategies, and collaborate with legal and compliance teams to align AI research with evolving regulatory frameworks. To qualify for this role, you should have a Masters or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field, with a strong research background in AI/ML, deep learning, or statistical modeling. You should have at least 6 years of experience in applied AI research, machine learning, or data science, along with expertise in Python, TensorFlow, PyTorch, or JAX, NLP, anomaly detection, graph-based AI, time-series analysis, big data processing frameworks (Spark, Hadoop), and cloud AI platforms (AWS/GCP). Additionally, you should possess strong problem-solving skills, excellent collaboration and communication skills, and the ability to balance research innovation with real-world constraints and scalability. At Tookitaki, you will have the opportunity to develop and deploy AI models to enhance compliance solutions, improve model accuracy and efficiency, ensure seamless deployment of AI models into production, reduce false positives in financial fraud detection, and contribute to AI advancements through research papers and technical reports. You will receive a competitive salary, access to professional development training, comprehensive benefits, and growth opportunities within the rapidly expanding Services Delivery team. Tookitaki is transforming financial services by building a robust trust layer focused on preventing fraud and combating money laundering. Leveraging collaborative intelligence and a federated AI approach, Tookitaki delivers powerful, AI-driven solutions for real-time fraud detection and AML compliance. By serving leading banks and fintech companies globally, Tookitaki is redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.,

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10295_1 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

As an experienced Technology Architect specialized in AI/ML, you will be responsible for leading the design and development of AIOps modules for our enterprise platform. Your deep expertise in AI/ML technologies, architecture design, and enterprise-scale system implementation will be crucial for identifying opportunities within the AIOps space and driving innovative solutions. Collaboration with cross-functional teams is essential to ensure successful delivery, requiring strong technical and communication skills, along with a proactive mindset to excel in agile environments. Your responsibilities will include designing and overseeing the development of AIOps modules, utilizing Agile methodologies for efficient development and implementation, and collaborating with module leads to build end-to-end AI-powered solutions. You will lead the development of impactful AIOps use cases, plan and execute POCs to evaluate new features, tools, and techniques, and ensure the integration of scalable, secure, and high-performance AI components. Guiding and mentoring technical teams through architecture and implementation decisions will also be part of your role, along with staying updated with emerging trends in AI, LLMs, and system observability. In terms of technical skills and experience, you should have experience with Flask, with familiarity in other Python frameworks such as FastAPI and Django being advantageous. Extensive hands-on experience with Python ML libraries like TensorFlow, PyTorch, and Scikit-learn is required, along with proficiency in developing and deploying AI/ML models, including LLMs and Agentic AI architectures. Understanding data structures, data modeling, and data pipelines, preferably in PySpark and Apache Airflow, is important. Experience with vector databases like Milvus, pgvector, or similar, proficiency in NoSQL databases such as MongoDB and Cassandra, familiarity with data visualization tools and practices, hands-on experience with cloud platforms and Kubernetes (K8s), proficiency with Git and CI/CD pipelines, and excellent problem-solving, communication, and articulation skills are also key requirements. Your ability to lead cross-functional teams and translate business needs into scalable AI solutions will be crucial for success in this role. Qualifications for this role include a Bachelors or Masters degree in Computer Science, Engineering, or related field, along with 10+ years of experience in technology roles, with at least 5 years specifically in AI/ML solutions architecture. Demonstrated ability to lead and deliver large-scale AI projects independently is essential to excel in this position.,

You will be working as a Senior AI/ML Developer, where your primary responsibility will be to design, develop, and implement advanced AI/ML algorithms and models. You will collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Additionally, you will be expected to research and explore new AI/ML techniques and technologies. You must have a minimum of 3 years of experience in AI/ML development to qualify for this role. Your educational background should include MCA, BE/B.Tech-IT/Computer, or MSC-IT. Strong programming skills in Python, Django, and Flask are essential for this position. Expertise in machine learning algorithms and techniques such as supervised learning, unsupervised learning, and deep learning is required. Furthermore, you should have experience with natural language processing (NLP) and computer vision. Familiarity with popular AI/ML frameworks and libraries like TensorFlow, PyTorch, and Keras is preferred. Knowledge of cloud platforms such as AWS and Azure is also desirable. As a Senior AI/ML Developer, you will be responsible for training and optimizing AI/ML models on large datasets, evaluating and improving model performance, and collecting, cleaning, and preprocessing data from various sources. Staying up-to-date with the latest trends and developments in the AI/ML field is crucial. In addition to technical responsibilities, you will be expected to mentor and guide junior developers, providing technical expertise, and fostering a culture of continuous learning and improvement. Excellent problem-solving and analytical skills are essential for this role, along with the ability to work both independently and as part of a team. A passion for AI/ML and a desire to make a significant impact in this field are important qualities we are looking for. Proficiency in data visualization tools such as Tableau, Power BI, matplotlib, and seaborn is a plus. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD, is highly valued. Experience working in Agile development methodologies will be an advantage.,

As an AI Model Architect within Cisco's innovation team, you will play a critical role in driving the development of AI model and dataset design to support the next-generation AI infrastructure platform. You will work at the intersection of infrastructure and AI systems, focusing on architecting and executing AI and Generative AI to create innovative solutions that enhance monitoring, deployment, and management of AI applications at scale. Your contributions will directly influence how enterprises deploy, scale, and optimize AI workloads. In this role, you will have the opportunity to mentor a high-caliber team while also engaging in hands-on design to deliver robust AI models and workflows. By leveraging your expertise, you will contribute to the improvement of uptime, quality, and performance of customer infrastructure through innovative AI solutions. Additionally, you will provide strategic guidance on resource utilization in generative AI systems, collaborating across functions to align product direction with infrastructure capabilities. Key Responsibilities: - Architect and design datasets based on infrastructure and operational telemetry. - Develop and fine-tune/train AI and Generative AI models for pattern detection on time series datasets. - Train models that can interact with tools and initiate actions. - Demonstrate proficiency in understanding k8s and other infrastructure components and their applications. - Create Model Context Protocol (MCP) tools to support Agentic Workflows. - Exhibit a deep understanding of AI frameworks that support Nvidia and AMD GPUs. - Plan and coordinate software engineering tasks, conduct code reviews, and address technical challenges to facilitate release processes. - Generate architecture specifications and build proof-of-concept (POC) solutions as needed for clarity. - Collaborate with product management to comprehend customer requirements and develop architecturally sound solutions, working closely with engineers for implementation. Minimum Qualifications: - Demonstrated experience in AI and Generative AI model training and fine-tuning. - Proficiency in KV Cache management and understanding of context length impact in LLM inferencing. - Proficient in Python, PyTorch, TensorRT, and other AI frameworks. - Familiarity with CUDA, Nsight, and other Nvidia tools. - Understanding of vLLM, LLM-D, and other runtimes for LLMs. - Comprehensive knowledge of software release processes. - Proficiency in using agents to build pipelines. - Bachelor's degree or equivalent with a minimum of 10 years of engineering experience. Preferred Qualifications: - Demonstrated technical leadership through publishing papers in industry conferences and publications, as well as holding issued patents. - Proven leadership experience in the architecture and design of Retrieval Augmented Generation workflows. - Demonstrated experience in collecting and utilizing system metrics in AI training/fine-tuning and inference. - Master's degree or equivalent qualification. In conclusion, as an AI Model Architect at Cisco, you will have the opportunity to contribute to groundbreaking AI solutions that redefine the possibilities for enterprise infrastructure. If you are passionate about solving complex problems, pushing the boundaries of what's achievable, and shaping the future of AI infrastructure, we invite you to join our team and make a meaningful impact.,

As a Senior Python Developer, you will be responsible for designing, developing, and maintaining scalable Python applications and AI-powered solutions. Your primary focus will be collaborating with cross-functional teams to understand requirements and create, train, deploy, and optimize machine learning and AI applications. You will integrate AI/ML models into production environments with robust error handling, logging, and monitoring. In this role, you will implement and enhance data preprocessing pipelines to ensure data quality for training and inference. Your responsibilities will include conducting research to explore new AI/ML technologies, frameworks, and practices to enable teams. You will be expected to write clean, testable, and efficient code following best practices for software development and debug and improve the performance, scalability, and reliability of Python-based applications. To succeed in this position, you must have proficiency in Python and its libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, and Flask/Django. Hands-on experience with ML algorithms including supervised and unsupervised learning, reinforcement learning is required. Additionally, knowledge of natural language processing (NLP), computer vision, or deep learning techniques is preferred. Familiarity with AI-driven tools and architectures is a plus. A solid understanding of data structures, preprocessing techniques, and feature engineering is essential for this role. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services will be beneficial. If you are someone who is passionate about Python development and AI technologies, and possess the required skills and experience, we encourage you to apply for this position and be a part of our dynamic team.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Key Responsibilities Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs. Recommendation algorithms (collaborative filtering, content-based filtering). Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS. VertexAI experience where working with model deployment, model training pipelines should be part of experience Experience with real-world ML applications in retail such as recommendation systems, demand forecasting, inventory optimization, or customer segmentation. Experience in Retail Mandatory Skill Sets Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs. Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS. Preferred Skill Sets Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or Years Of Experience Required 7-11 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Position Summary: As the Manager – AI , you will spearhead the development and deployment of cutting-edge AI solutions, leading a high-performing team of AI/ML engineers, data scientists, and software developers. This role combines strategic vision with deep technical acumen, focusing on Agentic AI , Generative AI , LLMs , and NLP to create scalable, production-grade solutions for SaaS environments. You'll be responsible for shaping the company’s AI roadmap, driving project execution end-to-end, and ensuring seamless cross-functional collaboration. If you're passionate about solving complex problems through AI, deploying models at scale on cloud platforms like AWS/GCP, and mentoring the next generation of AI talent—this role is for you. Key Responsibilities: AI Strategy & Vision Co-develop the organization’s AI strategy alongside executive leadership. Identify key product and business areas where AI can drive automation, intelligence, or differentiation. Drive the adoption of Agentic AI , LLMs , and multi-modal models into core products. Team Leadership & People Management Lead, grow, and mentor a team of AI/ML engineers and data scientists. Cultivate a high-performance, innovation-driven, and collaborative team culture. Set clear OKRs and continuously assess performance metrics. Project Management Own the AI/ML project lifecycle—scope, timelines, resource allocation, risk management. Ensure AI initiatives meet delivery deadlines while maintaining high quality and innovation standards. Drive Agile best practices to support iterative development and rapid deployment. Technical Ownership Stay abreast of advances in LLMs (OpenAI, Mistral, Claude, etc.) , prompt engineering , fine-tuning , and RLHF . Provide architectural direction on ML pipelines, vector stores, inference endpoints, and cloud-native deployments. Conduct code and model reviews; contribute to complex problem-solving and experimentation. Cross-functional Collaboration Partner closely with product managers, frontend/backend engineers, and UX to integrate AI capabilities into end-user experiences. Ensure AI models are production-ready, ethically sound, and aligned with user needs. Quality Assurance & Governance Implement rigorous MLOps practices including CI/CD pipelines, automated testing, monitoring, and model versioning. Ensure bias mitigation, explainability, and compliance across all AI solutions. Resource & Budget Management Manage budgets for team tools, infrastructure, and hiring needs. Lead recruitment and onboarding of new AI team members. Documentation & Reporting Maintain robust documentation for AI systems, architectures, and experiments. Provide timely reporting and KPIs to senior leadership on project status and outcomes. Qualifications: Master’s or Bachelor’s in Computer Science, Artificial Intelligence, Data Science, or a related field 10+ years of total experience, with 3–5 years in leadership roles. Proven track record delivering production-grade AI/ML solutions in fast-paced environments. Strong hands-on experience in: Programming: Python, PyTorch, TensorFlow, LangChain, Hugging Face ML/LLM Ops: MLflow, Docker, FastAPI, Kubernetes Cloud: AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery) Solid understanding of NLP, RAG, embeddings, vector databases (Pinecone, FAISS), and Transformer-based architectures. Excellent communication, stakeholder management, and presentation skills. Experience in Agile/Scrum methodologies and working in cross-functional product teams. Core Competencies: Leadership & Mentorship – Inspire and guide a team of highly skilled AI professionals. Strategic Thinking – Define and align AI initiatives with business goals. Project Execution – Drive large-scale AI/ML initiatives from ideation to production. Technical Depth – Hands-on proficiency in AI/ML, NLP, LLMs, and GenAI frameworks. Cloud-native Development – Experience deploying scalable APIs and models on AWS/GCP. Stakeholder Collaboration – Partner effectively with engineering, product, and design teams.

CSQ127R34 The role is expected to drive customer success by designing, building, and productionizing cutting-edge ML solutions on the Databricks Data Intelligence Platform. Collaborate with enterprise clients to architect, optimize, and operationalize pipelines and models—especially LLM-based and generative-AI applications—ensuring scalable, reliable, and high-performance deployments in cloud environments. Must Have Skills Lead end-to-end analytics projects, including problem framing, data exploration, feature engineering, model development, validation, and deployment. 4+ years of technical experience (hands-on) Python, PySpark. Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch, Spark MLlib. Expertise on Deep Learning and distributed implementations of machine learning. Advanced knowledge of at least one cloud environment (AWS, Azure, GCP). Domain/technical expertise (e.g. Banking/Retail/Healthcare, Predictive modeling/Computer Vision, etc.). Expertise with MLOps tools and processes, including MLflow for tracking and deployment. Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering). Design generative-AI architectures (RAG, agents, text2SQL, fine-tuning) with tools such as HuggingFace, LangChain, or OpenAI, integrating them against enterprise knowledge stores. Experience on Model-serving on Databricks and other Cloud platforms (AWS, Azure, GCP). Optimize performance and scalability of data pipelines and models leveraging Delta Lake, Databricks Jobs, and Spark tuning best practices Apply best-in-class MLOps practices: automated CI/CD for model deployment, monitoring for drift, and continuous performance optimization in AWS/Azure/GCP. Optimize data science workloads for performance and cost, advising on distributed computing and Spark tuning in client environments. Translate business requirements into technical solutions, delivering proofs-of-concept and production applications that solve real-world problems. Excellent communication and client-facing consulting skills, with ability to simplify complex technical concepts. Documentation and white-boarding skills. Willingness to travel for on-site customer engagements within India. Good-to-have Skills Understands the larger competitive landscape such as EMR, Snowflake, and Sagemaker. Expertise on Data Engineering in Big Data technology stack - Hadoop & Databricks. Partner with Product, Engineering, Go-to-Market, and Customer Success teams to translate business requirements into actionable data science solutions. Advocate for robust data governance, quality, and observability practices, working with Data Engineering and Security teams on Unity Catalog, access controls, and monitoring. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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. EY-Consulting – AI Enabled Automation Developer– Senior We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. 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. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 4 to 6 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation. Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility). Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer : At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. 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.

Job Description: Roles and Responsibilities: Lead the architecture, design, and implementation of generative AI solutions using state-of-the-art machine learning and deep learning techniques. Architect and deploy scalable AI solutions on Azure cloud, utilizing Azure AI services, storage, and compute resources. Integrate generative AI models into web-based products and services, collaborating with front-end developers on JavaScript, React, or Next.js. Design, develop, and maintain robust RESTful APIs using FastAPI for serving AI models and integrating with web or enterprise applications. Design, build, and optimize AI agent workflows and applications using LangChain and LangGraph for complex, multi-step reasoning and orchestration. Collaborate with data scientists, engineers, and product managers to translate business requirements into robust, production-ready AI systems. Ensure best practices for AI model development, including data ingestion, preprocessing, model training, validation, and deployment. Drive adoption of MLOps and DevOps practices on Azure for continuous integration and delivery of AI models. Stay abreast of the latest advancements in generative AI, cloud AI services, and web frameworks; disseminate insights to the broader team. Champion the ethical use of AI, ensuring compliance with organizational and regulatory standards. Mentor junior team members and foster a culture of innovation and technical excellence. Communicate complex technical concepts and project outcomes to both technical and non-technical stakeholders. Shift timing (if any): 12:30 PM to 9:30 PM IST Location / Additional Location (if any): Bangalore, Hyderabad Overall Experience: 9+ years Primary / Mandatory Skills: (Optional) Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 4+ years of hands-on experience in AI/ML, with a strong focus on generative AI models (GANs, VAEs, LLMs, etc.). Proven expertise in architecting and deploying AI solutions on Azure (Azure ML, Azure Cognitive Services, Azure Databricks, etc.). Hands-on experience developing and deploying RESTful APIs using FastAPI. Expertise in building AI agent workflows using LangChain and LangGraph. Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, etc.). Solid understanding of cloud computing concepts, security, scalability, and cost optimization on Azure. Experience integrating AI models into web applications; familiarity with front-end frameworks such as JavaScript, React, or Next.js. Strong analytical, problem-solving, and debugging skills. Excellent communication, documentation, and collaboration abilities. Secondary / Desired Skills: Familiarity with REST APIs, microservices, and serverless architectures. Experience with containerization (Docker, Kubernetes) and CI/CD pipelines on Azure. Knowledge of data visualization libraries and user experience (UX) best practices. Contributions to open-source AI/ML projects or research publications. Experience in full-stack development is a plus. Education Qualification: BE, BTech, MCA Certifications (if any): Azure AI/ML certifications (e.g., Microsoft Certified: Azure AI Engineer Associate), Python, AI/ML modeling, and relevant cloud and front-end framework certifications. #DataEngineering Weekly Hours: 40 Time Type: Regular Location: Bangalore, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. JobCategory:BigData