We are looking for Sr Data Scientist Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution Work with large, complex data sets and applying advanced analytical methods as needed Develop deployable machine learning solutions that address the real root cause Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way Be the partner of choice regarding technology advisory for advanced analytics Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-a rt technologies. Youd describe yourself as: Knowledge in advanced data analytics/data science Have five years of relevant experience with data science/ optimi zation/statist ical models Bachelors degree in a quantitative discipline (e.g., Statistics, Operations Research, B ioinformatics, Economics, Computational Biology, Compute Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field Understand the mathematics/op timization behind machine learning algorithms Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-a rt models, as well as validating the model results against the stated business objectives Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments (e.g., SAP, Oracle), cloud infrastructure (e.g., AWS, Azure), as well as familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT Experience with cloud technologies: AWS Sagemaker, Lambda etc. Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the-a rt algorithmic approaches in real world business applications Outstanding analytical and conceptual skills and an entrepreneuria l mindset Experience on collecting business requirements and traduce it into solution designs Very good communication and presentation skills Ready to unlock the full potential of technology? Join us! This role is based in Bangalore. But youll also get to visit other locations in India and globe, so youll need to go where this journey takes you. In return, youll get the chance to work with teams impacting entire cities, countries and the shape of things to come.

Job Overview We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Classical ML, LLM-based AI solutions, real-time ML processing, MLOps, and full-stack AI development. The ideal candidate will have experience building, optimizing, and deploying AI/ML models at scale, with a strong understanding of data-driven AI applications and cloud-based deployments. Key Responsibilities Classical ML & AI Solutions Develop, fine-tune, and deploy Machine Learning (ML) models for classification, regression, time series forecasting, and recommendation systems. Work with structured and unstructured data, performing feature engineering and data transformations. Implement and optimize ML models in production environments. LLM Development & AI Solutions Develop and deploy LLM-based applications for business use cases. Implement LangGraph (LangChain), CrewAI, and multi-agent frameworks for enterprise AI solutions. Optimize AI workflows by integrating data from SAP, Salesforce, and other enterprise systems. Expertise in Prompt Engineering frameworks (CoT, ReAct, ToT, etc.). Real-time ML & Full-stack Development Design and implement real-time ML production systems using Kafka, Apache Flink, or Apache Spark Streaming. Develop and maintain full-stack AI applications using modern web frameworks. Preprocess and transform streaming data for real-time inference and incremental training. Databricks ML & MLOps Implementation Implement Databricks ML frameworks (Mosaic AI) for scalable ML solutions. Deploy and manage MLOps frameworks for model lifecycle automation. Ensure cost-effective, scalable AI deployments on Azure, AWS, or GCP. Multimodal AI & Advanced RAG Optimization Build and optimize Multimodal AI Systems for real-world business use cases. Enhance Advanced RAG (Retrieval-Augmented Generation) and Text2SQL solutions to address edge-case scenarios. Must-Have Skills 3+ years of experience in Machine Learning, Deep Learning, and AI model deployment. Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face). Solid understanding of Classical Machine Learning Algorithms for classification, regression, time series forecasting, and recommendation systems. Experience in MLOps, model monitoring, and optimization using vLLM or TensorRT. Hands-on experience with Azure Machine Learning Pipelines, AKS/ACR/App Service, and CI/CD workflows. Strong SQL & NoSQL database expertise. Experience in Big Data processing tools (Spark, Databricks, Snowflake). Strong grasp of Statistics, Probability, and ML Algorithms. Good to Have Generative AI (GenAI): Experience with LLM fine-tuning, Transformer models (GPT, BERT, T5, LLaMA, etc.). Familiarity with Vision AI, NLP, and multimodal AI architectures. Contributions to open-source projects or research publications in AI/ML. Prior experience in Manufacturing or Enterprise AI solutions. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge AI/ML projects. Professional development support and flexible work environment. If you are passionate about AI-driven innovation and want to work on state-of-the-art ML solutions, wed love to hear from you! Please note that the interview for this opening position will be held in-person only. The interview is scheduled for 26th April (Saturday) . If you are interested, kindly apply through the link provided below: https://forms.office.com/r/gRDKDyrwyM Additionally, please send your updated resume to chaity.mukherjee@celebaltech.com .

Responsibilities: Collaborate with cross-functional teams on project delivery. Develop machine learning models using Python & TensorFlow. Optimize data pipelines for efficiency & accuracy. Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative Al models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative Al applications. Experience in building and deploying generative Al systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative Al models. Decode the Requirements to functional modules and product features Pipeline building integration and testing following the SDLC process

Skills : Machine Learning/Deep Learning Senior Data Scientist Required Candidate profile Notice Period: Immediate -30 days EducationBE/ME equivalent

Skills : GCP , AI/ML, Solutions Architect, NLP, Transformer, LLM/GenAI,Healthcare, programming languages such as Python, R, or Java, frameworks like TensorFlow, PyTorch, or scikit-learn,Big Data technlogies

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Job Description In this role, you'll be programming in Python, C++ and C to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models. Youll get to work with the latest research in fields like artificial intelligence, computer vision (helping users see and understand images), and computer graphics (generating images or animations). The ideal candidate Should have a proven track record of success in Deep learning projects and handling team of product based on AI , a strong technical background, and excellent communication skills. Responsibilities include, but not limited to: Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear, algebra, probability, and geometry. Apply cutting-edge research in machine learning, computer vision, and computer graphics. Work closely with leadership to understand high-level product vision and customer requirements. Utilize Git for effective source code management. Deploy and test your code on large scale geospatial datasets .This requires you to interact with remote machines via a Unix shell. Qualifications degree in Computer Science, Engineering, Mathematics, or a related field 6+ years of relevant industry experience in a fast paced, high growth tech environment. Proficiency in Python , C++ and Embedded device programing Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning) Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders. Hands-on experience with TensorFlow and Keras (or similar frameworks) in developing, training, and deploying deep learning models.

Looking for Siemens EDA ambassadors: Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the Increasingly complex world of chip, board, and system design. Siemens EDA D2S Bangalore group, a part of Semiconductor Manufacturing Division of Siemens EDA is seeking a highly skilled Staff Engineer with a strong technical background to join us. The ideal candidate will have 10+ years of hands-on experience in software development, image/signal processing, algorithm design, and machine learning, with a solid understanding of C/C++ programming. As a Staff Engineer, you will be responsible for developing and optimizing complex systems, driving technical innovations, and leading multi-functional teams to deliver high-quality software solutions. We make real what matters. This is your role Lead the design, development, and optimization of complex systems in C/C++ for image and signal processing. Develop and implement algorithms with a strong focus on performance, scalability, and efficiency. Leverage machine learning techniques, particularly Convolutional Neural Networks (CNNs) , for advanced image processing, computer vision, and other related tasks. Take ownership of end-to-end software development and lead technical problem-solving efforts. Provide technical mentorship and guidance to junior engineers and peers within the team. Collaborate with multi-functional teams to define system architectures, requirements, and project timelines. Ensure high-quality code by implementing standard processes for code reviews, unit testing, and debugging. Innovate and integrate new technologies and methodologies to improve product quality and performance.Participate in all phases of the development life cycle, including design, implementation, testing, and maintenance.Identify and address performance bottlenecks and scalability challenges in large-scale systems. Work in an Agile environment and chip in to sprint planning, reviews, and retrospectives We dont need superheroes, just super minds! Technical Skills (Must Have): We bring together a dynamic team of individuals with a P.hD/M.tech in Computer Science or Electronics Engineering with shown experience Extensive experience in C/C++ programming for developing high-performance applications . Strong background in image and signal processing , with hands-on experience using tools such as OpenCV and Matlab . Expertise in algorithms and data structures , with a solid focus on optimization and efficiency . Shown experience in designing and implementing complex machine learning algorithms , especially Convolutional Neural Networks (CNNs) for applications in image processing and computer vision . Proficiency in machine learning frameworks like TensorFlow , PyTorch , or Keras . Experience in system design and architecture , ensuring solutions are robust , scalable , and maintainable . Technical Skills (Desirable): Experience in Optical Mask Inspection , Wafer Ebeam Inspection , or SEM Processing . Experience with parallel and distributed computing , using tools like Sun Grid Engine or LSF . Familiarity with version control tools (e.g., Git , CVS ). Exposure to Agile methodologies and defect tracking tools such as JIRA or ClearQuest . Ability to work in high-performance computing (HPC) environments. Experience with data preprocessing , feature engineering , and deploying machine learning models in real-world systems.

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchant's day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary :The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel).

TEAM OVERVIEW: We are passionate about creating cutting-edge, product-centric algorithmic solutions that drive innovation and deliver exceptional value to our customers. Our collaborative environment encourages out-of-the-box thinking, making us not only a powerhouse of technical expertise but also a fun and engaging team to work with. We believe that the best ideas come from diverse perspectives, and we encourage everyone to share their unique insights. This collaborative spirit fosters an environment where creativity flourishes, and groundbreaking solutions are born. This is a highly cross functional product team which uses state-of-the-art AI/ML techniques to accelerate the pace of semiconductor application development. An ideal candidate has demonstrated a strong research background and technical leadership in developing algorithms and softwares. The position requires a willingness to learn new technologies, solve complex problems and drive innovative solutions. Join us on our journey to make possible a better future with AI! KEY RESPONSIBILITIES: Utilize and create advanced AI and machine learning algorithms, including one-shot/few-shot learning, supervised/unsupervised learning, deep learning, and reinforcement learning, to address complex problems across various data modalities Design, prototype, validate, and implement high-quality, scalable algorithms with a strong focus on performance and accuracy. Implement algorithm designs using Python, TensorFlow, PyTorch, and C/C++, leveraging common machine learning and deep learning libraries and frameworks. Exhibit strong attention to detail, analytical thinking, and problem-solving abilities, ensuring robust and effective solutions. Thrive in a dynamic, startup-like setting, contributing to high-visibility initiatives and adapting to evolving challenges. Act as a resource for colleagues, fostering a collaborative and supportive team environment. Collaborate with MLOPs, software engineers and product managers to productize and optimize algorithmic pipelines, integrating them seamlessly into our software solutions TECHNICAL SKILLS: Proficiency in advance AI and Machine Learning algorithms and its fundamentals Research experience in state-of-the-art techniques in Machine Learning, Deep Learning, Computer Vision and Generative AI Knowledge of frameworks such as PyTorch, TensorFlow or Keras Knowledge of industry best practices and competitive landscape Strong written and verbal presentation skills, both technical and non-technical audiences REQUIREMENTS/EDUCATION: MS or Ph.D. degree in Computer Science, Computer Engineer, Electrical Engineer, Mathematics, Statistics or related field Qualifications Education: Master's Degree Skills: Certifications: Languages: Years of Experience: 7 - 10 Years Work Experience: Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture Strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

We are looking for Sr Cloud Backend Developer(AI Developer) Developing AI models from initial conception to implementation. Understanding business problems and translating them into AI solutions. Creating and maintaining AI algorithms and applications. Collaborating with the data science team to build optimal data systems. Integrating AI applications into company platforms. Validating and deploying AI models. Keeping up-to-date with the latest AI trends and technologies. Presenting technical findings to non-technical stakeholders. Ensuring AI applications follow regulatory and ethical standards. Providing technical support for AI products. Continuously improving and scaling AI systems. Youd describe yourself as: Proven experience as an AI Developer or similar role Experience in developing AI applications and AI-focused programming languages, such as Python or Java Knowledge of machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong understanding of mathematics, statistics, and algorithms Advanced skills in integration and REST APIs Using REST APIs and handling different service frameworks Experience with databases and Big Data platforms Experience with cloud platforms like AWS, Azure or Google Cloud AI-based cloud solutions like, Azure, IBM Watson, or AWS AI driven bots (chatbots, mailbots, voicebots, etc.) (it would be a plus) Solid understanding on computing environments (container-based / serverless-based) Excellent problem-solving abilities and analytical skills Fluent in English, speaking, reading, and writing (mandatory) Ability to work in a self-organized team Strong orientation to the customer is key A degree in Computer Science, Engineering, Data Science, or a related field; advanced degrees are a plus.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BTech Summary :As an AI/ML Engineer,, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. Creation of agents in Agent builder and integrating them into end end to pipeline. Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: Must To Have Skills:CCAI hands on experience and generative AI understanding. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms and techniques. Experience with chatbot , generative AI models, prompt Engineering Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 3 - 5 years of experience in Google Cloud Machine Learning Services.and overall Experience around 5 - 7 years The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualifications BTech

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Sr Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Communications & Media - AI & Data Architectures Title :- I&F Decision Sci Practitioner Consultant Job location :- Bangalore, Hyderabad About S&C - Global Network:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success.

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter' in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat's data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do? Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks. Drive the development of next-generation AI/ML applications in a highly collaborative environment. Oversee the design, implementation, and delivery of AI solutions. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring? 7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face. Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle. Deep understanding of machine learning frameworks and experience in Generative AI application development. Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelor's degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills

Experience: 8 to 10 Years of relevant IT experience (Minimum 4 to 5 years in Data Science, AI/ML) Roles and Responsibilities: Solution Design: Architect, design and implement to solve complex AI/ML solutions that align with business objectives and integrate with existing systems. Also develop and apply supervised and unsupervised learning techniques on large datasets. Stakeholder Engagement: Collaborate with stakeholders to gather requirements and translate them into technical specifications. Technical Leadership: Guide and mentor development teams in AI/ML technologies solutions and best practices. Project Management: Manage AI/ML projects from ideation to deployment, ensuring they are delivered on time and meet quality standards. Innovation: Stay abreast of the latest AI/ML trends and technologies, driving innovation within the organization. Model Optimization: Optimize AI/ML models for performance, scalability, and reliability. Documentation: Develop and maintain detailed documentation for AI/ML solutions, including architecture diagrams, technical specifications, and user manuals. Create appropriate business value centric case studies, based on the actual projects that have been executed. Training and Support: Provide training and support to team members and end-users on AI/ML tools and solutions. Skills and Qualifications: Bachelors or Masters degree in Computer Science, or a related field. At least 5 years of experience in AI/ML solution architecture including RAG, LLM solutions, with a proven track record of successful project implementations. Expertise in programming languages such as Python or Java. Strong understanding of machine learning frameworks and Python AI libraries (e.g., TensorFlow, PyTorch, Pandas, Keras, matplotlib, scikit-learn). Strong knowledge of supervised and unsupervised AI learning techniques. Expertise in training and retraining AI models. Experience with cloud platforms (e.g., AWS, Azure) and their AI/ML services such as Claude, Bedrock, and other solutions such as GPT and NLP. Hands-on experience with creating AI prototypes for specific use cases. Should be well versed in creating solutions in response to customers RFIs/RFPs. Adept in Presentation material preparation and doing client presentations. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team environment. Leadership and mentoring abilities. Certifications: Relevant certifications in AI/ML, cloud computing, or solution architecture are a plus. Work Mode: Work from Home (WFH) is available; however, based on client requirements, Candidate may need to work from the office (WFO) in Hyderabad. Time Zone : US Travel: Candidates should be open to international travel if required for client projects.

Job Summary Member of a software engineering team involved in development & design of AI Data Platform built on NetApps flagship storage operating ONTAP. Data is the currency of business in the digital era. NetApp is the data authority, helping customers leverage and manage their data wherever it resides in the cloud, in their data centers, or anywhere data flows. Engineers at NetApp help transform the way customers utilize their dynamic, diverse, and distributed information. They are allowing doctors to save lives with deep data analytics shared with medical experts around the world, helping automotive engineers improve autonomous vehicle navigation with artificial intelligence, enabling scientists to monitor and identify environmental hazards through deep image analysis, and providing companies the ability to expand their businesses in yet unimagined ways. By joining NetApp, you can take part in transforming how data is changing the world. ONTAP is the #1 Storage Operating System in the world, managing hundreds of Exabytes of customers information. We have more than 30,000 customers today that rely on us to be the data authority. Take part in the transformation that is changing how we work and play daily. An ideal candidate for this position will be driven to produce results, collaborative, curious and creative. He/she strives to excel in their day-to-day work and will continue to produce high quality results without anyone looking over their shoulders. They will bring broad experience across multiple domains including Big Data processing, AI/ML workflows, MLOps, Kubernetes operating systems, storage technologies and distributed systems. Job Requirements Proficiency in programming languages like GO, Python. Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc Experience working in Linux, AWS/Azure/GCP, Kubernetes Control plane, Auto scaling, orchestration, containerization is a must. Experience with No Sql Document Databases (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB) is a must. Experience working building Micro Services, REST APIs and related API frameworks. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing. Experience with AI/ML frameworks like PyTorch or TensorFlow is a must. Storage Domain experience is a plus. Experience with Filesystems or Networking or file/cloud protocols is a plus. Proven track record of leading mid to large sized projects This position requires an individual to be creative, team-oriented, a quick learner and driven to produce results. Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies Participate in technical discussions within the team and with other groups within Business Units associated with specified projects Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals A strong understanding and experience with concepts related to computer architecture, data structures and programming practices Education Typically requires a minimum of 12 years of related experience with a Bachelors degree or 12 years and a Masters degree; or a PhD with 10 years experience; or equivalent experience.

S&C Global Network - AI - Retail - Consultant - AI Retail Product Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Knowledge of retail industry trends, consumer behavior analytics, and emerging AI technologies in the retail sector. Develop and maintain AI models and algorithms that support inventory management, personalized shopping experiences, demand forecasting, pricing optimization, and customer segmentation. Creation of process flows and diagrams for merchant's day in a life / Ability to interpret consumer behavior data and apply AI insights to optimize customer journeys, product recommendations, and personalized experiences. Leverage AI to enhance the customer experience by delivering personalized recommendations, improving product discovery, and enhancing omnichannel retail strategies. Good to have skills: Familiarity with Agile methodologies and product management processes. Ability to approach complex problems methodically, using AI and data-driven solutions to solve challenges in retail operations and customer experience. Constantly thinking about how to innovate using AI to improve retail products, services, and customer satisfaction. Experience with pre-built AI services from cloud providers (e.g., AWS AI services, Google AI, or Azure AI). Job Summary :The AI Retail Product Specialist is responsible for developing, implementing, and optimizing AI-powered solutions that enhance retail product strategies. This includes working closely with cross-functional teams, analyzing consumer behavior data, and driving product innovations using AI technologies. The specialist will leverage AI tools to improve customer personalization, inventory management, sales forecasting, and the overall shopping experience in retail settings. Roles & Responsibilities: Act as the bridge between business needs and technical solutions, overseeing the development and deployment of AI products. Define the AI product roadmap and ensure that AI-driven initiatives align with business objectives. Work with cross-functional teams to prioritize features and manage product releases. Collaborate with product managers, data scientists, and IT teams to design, implement, and refine AI-driven retail solutions. Focus on developing agentic experiences, where AI can assist or guide users through various tasks (e.g., chatbots, virtual assistants). Analyze large datasets to identify trends, patterns, and insights related to customer preferences, product demand, and shopping behavior. Monitor the performance of AI models and suggest data-driven improvements to enhance accuracy and effectiveness. Support decision-making by delivering actionable insights to stakeholders regarding product assortments, pricing strategies, and promotional activities. Stay up-to-date with the latest developments in AI technologies and retail industry trends. Recommend and implement best practices for AI-based product development and deployment in a retail environment. Professional & Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Familiarity with AI frameworks and tools like TensorFlow, Keras, or PyTorch. Experience with data analysis and visualization tools (e.g., Tableau, Power BI, Excel). Additional Information: - (do not remove the hyperlink)

Position: Software Engineer (AI/ML) Qualification: B.E./B.Tech/M.E./M.Tech Responsibilities: Study and transform data science prototypes Designing Machine Learning systems and self-running Artificial Intelligence (AI) software to automate predictive models Research and implement appropriate ML algorithms and tools Develop Machine Learning applications according to requirements Select appropriate datasets and data representation methods Run Machine Learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Required Skills/Abilities: 2 4 years experience in AI/ML Good knowledge of Data Structures and Algorithms, and Mathematical Aptitude Excellent programming skills in Python and basic libraries for Machine Learning such as scikit-learn and pandas Must have a very good understanding of AI/ML algorithms and methods Prior knowledge of MLOps tools and Deep Learning methods and tools like PyTorch, Keras, or TensorFlow is preferable Good communication and people management skills with some experience of client handling Reporting To: Lead Software Engineer/Project Manager

ML Engineer Experience: 5+ years Location: Hyderabad Mode: Hybrid Note: Electronics background is required Key Responsibilities: Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Impeccable analytical and problem-solving skills Excellent time management and organizational skills Desire to learn

Share your CV on mentioned mail - (neha@clarityconsulting.in) Should have handled at least 2 full cycle projects, starting from requirements analysis to production deployment and ongoing support. • Must have a prior experience in above mentioned technology stream. • Ability to lead complex projects involving multi delivery tracks with complete ownership. • Good project management skills able to plan and execute projects, manage requirements and risks appropriately. • Proven experience in working with client teams (Business & IT) . • Should have excellent communication (written / oral) and presentation skills. • Set & manage stakeholder expectations. • Good team management skills able to build and mentor the team. • Prior onsite experience would be an added advantage clients. Skills and Knowledge required: • Good project management skills – able to plan and execute projects, manage requirements and risks appropriately. • Good at client interactions, able to set & manage stakeholder expectations. • Good team management skills – able to build and mentor the team. • Good presentation and communication skills. Preferred Knowledge/Skills • Working or hands on experience in RPA implementation Automation Anywhere/UiPath (min 3 Year) • Advance or Master Certification in Automation Anywhere/ UiPath is preferred • Job Location : Pune • Qualification : BE/B.Tech/MCA Experience : Min 5 years of experience in web application development

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies