130 Cnn Jobs - Page 4

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 .

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

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

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.

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.

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

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

One of our reputed client has the following opportunity. Work expereince : 8-12yrs Work location : Bangalore Job Designation: Computer-Vision and AI Tech Lead Job Description: We are seeking a highly talented and motivated Individual with strong experience and expertise in the field of Computer Vision and AI with expertise in Edge based AI. The candidate is expected to have expertise in Image Processing with a strong background in Deep Learning, Image processing with AI and with traditional image processing- algorithms for Real-world cutting-edge applications.The candidate is expected to lead realization of cutting-edge projects in Various aspects of Image Processing, image recognition, object detection, tracking and other visual AI tasks considering constraints of working on Edge with limited resource availability. Key Responsibilities Lead a team of Computer Vision and AI engineers Realization of various Vision Driven products and applications on the Edge Work on identifying right methods and hardware based on the application requirement Analysing the requirement from top level and breaking up the problem into algorithms, and hence choose the right solution by using traditional or deep learning methods. Working with the team to realize the algorithm Fine-tune and optimize deep learning models (e.g., CNNs, YOLO, Mask-RCNN) for performance and efficiency in production environments. Collaborate with the engineering and product teams to deploy models in real-world applications. Research and integrate new algorithms and techniques to improve model performance and robustness. Develop custom data augmentation pipelines to improve training efficiency and accuracy. Evaluate model performance and conduct error analysis to guide further improvements. Stay up to date with the latest developments in computer vision and deep learning. Qualifications Educational Background: BTech or MTech or PhD in computer science, Artificial Intelligence, or related fields. Experience: 6 to 10 years of hands-on experience in deep learning and computer vision with Hardware based implementation Essential Qualifications Proficient in C/C++. Proficiency in traditional image processing algorithms. Deep learning frameworks and solid experience with various AI models like object detection models (e.g., YOLO), and face recognition models. Proven experience in training and deploying computer vision models at scale. Familiarity with OpenCV. Having leadership quality to lead a team of engineers in the field of Computer Vision and AI Having very good understanding of AI Hardware and realization of Vision and AI on edge. Desirable Qualifications Working experience on algorithms for Surveillance Cameras Experience with cloud platforms (AWS, Azure) and deploying models in production. Knowledge of edge AI technologies and hardware accelerators. Ability to optimize models for resource-constrained environments. Incase if you fit the role, please mention your current CTC,ECTC,notice period,current location details to sridevi.g@sapwood.net

Model Development & Training: Develop and train machine learning models, specifically in the domain of computer vision (e.g., object detection, image classification, segmentation). Optimize model performance by tuning hyperparameters and improving training pipelines. Data Preparation & Processing: Collect, clean, and preprocess image and video datasets for training models. Implement data augmentation and synthetic data generation techniques. Model Evaluation & Analysis: Evaluate model performance using appropriate metrics (e.g., precision, recall, F1-score). Perform error analysis to identify model weaknesses and suggest improvements. Model Deployment & Integration: Assist in deploying trained models into production environments. Work with software engineers to integrate computer vision models into applications or services. Research & Innovation: Stay updated on the latest trends and advancements in computer vision and machine learning. Experiment with state-of-the-art techniques such as transfer learning, self-supervised learning, and GANs. Role & responsibilities Preferred candidate profile Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Familiarity with computer vision libraries (e.g., OpenCV, scikit-image). Understanding of machine learning concepts, including supervised and unsupervised learning. Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).

Software Developer Req number: R5051 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary Job Description 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch . Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems . Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Job Description : - Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

Job Description : - Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

Long Description Study and transform data science prototypes. Design machine learning systems 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.

-> Develop, train, and fine-tune computer vision models for applications such as defect detection, object recognition, and anomaly detection in manufacturing. -> Hands-on experience with YOLO and NVIDIA DeepStream for real-time vision applications. Required Candidate profile -> 3+ years of experience in computer vision, DL and ML for industrial/manufacturing applications. -> Proficiency in Python, and deep learning frameworks. -> Experience deploying ML models on cloud.

We are looking for passionate Fresh Graduates to join our AI team as an AI/ML Engineer with a focus on Large Language Models (LLMs) and Natural Language Processing (NLP). You will work with GPT, BERT, LLaMA, Falcon, and other LLMs to develop, fine-tune, and deploy AI-powered applications. Key Responsibilities: Fine-tune and optimize LLMs (GPT, BERT, LLaMA, etc.) for real-world applications. Work on chatbots, text generation, summarization, and question-answering models. Experiment with prompt engineering, retrieval-augmented generation (RAG), and embeddings. Deploy AI models using Docker, Hugging Face, and cloud AI services (AWS/GCP/Azure). Collaborate with AI researchers and software engineers to develop cutting-edge solutions. Required Skills & Qualifications: Technical Skills: Python, PyTorch/TensorFlow, Hugging Face Transformers, OpenAI API. LLM Knowledge: Fine-tuning, embeddings, vector search, NLP fundamentals.

Job Title Data AI Telecom Analytics Level 9 - SC Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs 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 As part of our Data AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms Media practice within Strategy Consulting: Comms Media (CM) is one of the Industry Practices within Accenture's SC Global Network team. It focuses in serving clients across specific Industries Communications, Media Entertainment. Communications Focuses primarily on industries related with telecommunications and information communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media Entertainment Focuses on industries like broadcast, entertainment, print and publishingGlobally, Accenture Comms Media practice works to develop value growth strategies for its clients and infuse AI GenAI to help deliver top their business imperatives i.e., revenue growth cost reduction.From multi-year Data AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices.Roles Responsibilities:A Telco domain experienced and data science consultant is responsible to help the clients with designing delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional Technical Skills: Overall 5+ years of experience in Data Science at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Job Title - Telecom Analytics Level 7:Manager Ind & Func AI Decision Science Manager S&C Management Level:07 - Manager Location: Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Must have skills:Data Scientist / Transformation Leader & at least 5 years in Telecom Analytics Good to have skills:GEN AI, Agentic AI, Job Summary : About Global Network Data & AI:- 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 About Comms & Media practice: Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishingGlobally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction.From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 10+ years of experience in Data Science & at least 5 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: Overall 10+ years of experience in Data Science & at least 5 years in Telecom Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Job Description Role : SME - IVA Function: Software Development - IVA / Computer Vision Work Location : Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products You will remain rooted as an engineer, a designer, and a technologist while leading a team. You take complete ownership of timely product delivery with impeccable software quality. You have the ability to navigate the teams through fast changing market needs. You possess strong people leadership skills in mentoring the young engineers Experience : 4+ Years Qualification : B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or related field Technical Skills Required : Hands on with C++, OOPS, Computer Vision, OpenCV, TensorFlow, Web Orientation, Web Development, OpenCV, Image Processing. Hands-on experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Strong programming skills using Python and C++ Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors What your day might look like (Role) The SME - Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What do we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual. Look no further. Please share your resume on Khushali.shah@matrixcomsec.com

This job is provided by apna.co Job TitleLinguist AI Training & Evaluation. CompanyKrutrim (Ola). LocationBengaluru, Kormangala. Employment TypeFull Time. LanguagesPunjabi, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Tamil, Telugu. NoteFluent in any one of the above mentioned languages can apply. About Krutrim. Krutrim (Ola) is a leading innovator in AI and machine learning, specializing in the development of cutting-edge language models and AI-driven solutions. As we continue to grow, we are looking for linguists with expertise in Indian languages, natural language processing (NLP), and large language models (LLMs) to join our dynamic team. Help us shape the future of AI in Indian languages!. Role Overview. Krutrim is seeking a Linguist AI Training & Evaluation for LLM Evaluation to curate high-quality datasets, evaluate language models, and fine-tune performance using Reinforcement Learning from Human Feedback (RLHF). You will work on evaluating model outputs, DPO Data Set creation, performing comparative analysis, and benchmarking Krutrim™s AI models against industry standards. Key Responsibilities. Data Set CreationDevelop high-quality, multilingual data for training large language models (LLMs), ensuring linguistic diversity and cultural relevance in Indian languages. LLM EvaluationConduct rigorous evaluation of NLP models and AI language models. Benchmark model performance against internal and external systems to ensure accuracy, relevance, and coherence. Supervised Fine-Tuning (SFT) & RLHFApply supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) techniques to improve model performance and adapt to specific tasks. Model BenchmarkingPerform benchmarking of AI models to ensure that Krutrim™s LLMs perform competitively in real-world applications. Model Response EvaluationEvaluate the quality of model responses across various tasks and benchmarks. Ensure alignment with desired output accuracy, contextual understanding, and linguistic precision. Collaboration with Cross-Functional TeamsWork closely with data scientists, engineers, and AI researchers to integrate linguistic insights and optimize machine learning models for Indian languages. Desired Skills & Qualifications. Linguistic ExpertiseNative-level fluency in one or more Indian languages, with excellent command over English. Proficiency in multilingual linguistics is a plus. AI & NLP KnowledgeStrong understanding of Natural Language Processing (NLP), machine learning models, deep learning frameworks, and large language models (LLMs). Model Evaluation Skills: Proven experience in evaluating AI models, including benchmarking, fine-tuning, and model assessment. Attention to DetailStrong ability to identify linguistic nuances, model errors, and biases in AI model outputs. Data ManagementSkilled in managing and curating large datasets, understanding of data preprocessing and data cleaning for AI model training. Analytical MindsetAbility to perform quantitative and qualitative assessments of AI model performance, including the development of evaluation metrics. Qualifications. EducationBachelor™s or Master™s degree in Linguistics, Language, or Similar experience in the previous jobs. Experience1-3 years of experience in linguistics, NLP, or AI model evaluation, with a focus on large-scale data curation and model performance evaluation. Interested Candidates Can Contact. Mobile Number9591495202 (NoteShare resumes on whatsapp to this number). or. Mail IDPicchukula.priyanka@netambit.net. Show more Show less

Job Responsibilities 1. Understand and Participate in Establishing Requirements Gain a deep understanding of system-level requirements impacting firmware deliverables. Actively participate in the creation of firmware requirements based on system specifications. Collaborate with the broader team to define and improve system-level requirements for hearing aid firmware. Align firmware design with requirements through continuous exploration of the firmware system, review of documentation, and consultations with senior team members. 2. Design and Implement High-Quality Firmware Create designs that meet firmware requirements. At this level, the engineer is expected to solve moderate technical challenges. Senior engineers review solutions for technical sound. Document and review designs, ensuring they provide value and enhance understanding of the firmware. Apply programming knowledge (e.g., C, assembly) to implement firmware on resource-constrained hardware. Follow best practices in firmware development processes such as code reviews, design documentation, and adherence to coding conventions. Update the status of assigned tasks using established issue and project tracking software. Use version control systems to manage code effectively. Investigate, root cause, and resolve firmware issues promptly, providing feedback on potential solutions and their impact to the firmware management team. 3. Verify Firmware Functionality Support the Firmware Verification Team in developing test plans and executing tests to ensure firmware meets high-quality standards at the system level. Review test plans and provide constructive feedback. Conduct unit tests to verify the functionality of developed firmware before passing it to the verification team. Collaborate with Firmware Verification Engineers and others in R&D to identify and resolve issues. 4. Participate Effectively in Project Activities Understand and follow established organizational processes such as Advanced Development and Product Development processes. Work with the Firmware Project Sponsor/Manager to create project plans and provide work estimates for project milestones. Take proactive ownership of project assignments and follow the project management process (Scrum) for assigned projects. Communicate changes to work effort estimates and their potential impact on the project schedule. Provide updates on project activities during sprint reviews, stand-up meetings, and one-on-one meetings. Job Requirements Education and Experience: Education: Bachelors or Masters degree in Electronics and Communication, Computer Science, Embedded Technology, or a related field. Experience: 4-8 years of relevant experience with a BS degree 0-4 years of relevant experience with an MS degree Knowledge and Technical Requirements In-depth knowledge in one or more of the following domains is required: Digital Signal Processing (DSP) Real-time Signal Processing: Knowledge of hardware or embedded systems for real-time signal processing, including the use of microcontrollers, DSP chips, and FPGA. Filtering: Designing and implementing digital filters (FIR, IIR) to remove noise, smooth, or enhance signals. Knowledge of filter design tools and techniques (e.g., Butterworth, Chebyshev filters). Convolution & Correlation: Understanding how to apply these operations to signals to filter or detect patterns. Fourier Analysis: Applying Fourier transforms (FFT, DFT) to analyze signals in the frequency domain, including spectral analysis and signal reconstruction. Time-Frequency Analysis: Familiarity with techniques like Short-Time Fourier Transform (STFT) or wavelet transforms for analyzing non-stationary signals. Adaptive Filtering: Understanding algorithms that adapt their characteristics based on the signal's input, such as LMS (Least Mean Squares) and RLS (Recursive Least Squares). Signal Compression & Coding: Knowledge of data compression techniques (e.g., JPEG, MP3) for efficient transmission and storage of signals. Embedded DSP Experience in implementing DSP algorithms on embedded systems, such as using ARM, TI processors or specialized DSP hardware. Real-Time Operating Systems (RTOS): Experience with real-time operating systems, such as FreeRTOS, VxWorks, or other embedded OS, for scheduling and task management. Hardware/Software Interface: Experience interfacing with hardware components (ADC, DAC, sensors, actuators, etc.). MATLAB/Simulink: Ability to model and simulate DSP algorithms using tools like MATLAB and Simulink. Embedded Development Tools: Familiarity with IDEs (e.g., Eclipse, Keil, IAR Embedded Workbench) and debugging tools (JTAG, oscilloscopes, logic analyzers). Machine Learning (ML) & AI Integration DSP and Machine Learning: Integrating machine learning with DSP to enhance signal processing tasks such as classification, pattern recognition, and feature extraction. Deep Learning for DSP: Familiarity with neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks), and other deep learning architectures. Proficiency in using TensorFlow, PyTorch, and Keras Wireless and wired communication protocols. Firmware testing methodologies and tools Proficiency in programming languages such as C or assembly. Familiarity with scripting languages like MATLAB or Python. Understanding of analog and digital circuitry. Competencies, Skills, and Abilities Strong verbal and written communication skills. Driven, methodical, and detail oriented. Ability to work both independently and as part of a team. Proficiency in problem-solving.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

Job Title: Machine Learning Engineer Location: Jaipur Job Type: Full-Time About the Role We are looking for a Machine Learning Engineer with expertise in YOLO, custom ML models, and deep learning to join our team. If you have 4+ years of experience in developing and deploying computer vision solutions, this is an exciting opportunity to work on cutting-edge AI applications. Key Responsibilities Develop, train, fine-tune, and optimize YOLO-based object detection models (YOLOv5, YOLOv8, etc.). Design and implement custom ML models tailored to specific business needs. Handle large-scale datasets, including data collection, preprocessing, and augmentation. Deploy ML models in cloud environments (AWS, GCP, Azure) and edge computing platforms (Jetson Nano, Raspberry Pi, Coral TPU, etc.). Optimize ML models using techniques such as quantization, pruning, and model compression. Evaluate and improve model performance using mAP (mean Average Precision), IoU (Intersection over Union), precision-recall, and F1-score. Work closely with data scientists, software engineers, and DevOps teams to integrate models into production systems. Stay updated with the latest advancements in deep learning, computer vision, and AI model optimization. Required Skills & Qualifications Minimum 4+ years of experience in Machine Learning, Deep Learning, and Computer Vision. Strong expertise in YOLO-based object detection models (YOLOv5, YOLOv7, YOLOv8, etc.). Proficiency in Python, TensorFlow, PyTorch, and Keras. Experience with OpenCV, FastAPI, Flask for computer vision applications and API deployment. Knowledge of ONNX, TensorRT for model deployment and optimization. Familiarity with Docker, Kubernetes, MLflow, Kubeflow, and Airflow for MLOps and model lifecycle management. Experience working with cloud-based ML services (AWS SageMaker, Google Vertex AI, Azure ML). Strong understanding of CNNs, RNNs, Transformers, and other deep learning architectures. Hands-on experience in dataset annotation, synthetic data generation, and image preprocessing. Preferred Qualifications Experience in real-time AI applications, robotics, smart surveillance, or autonomous systems. Knowledge of Edge AI deployment on NVIDIA Jetson, Coral TPU, or Raspberry Pi. Experience with generative AI models, self-supervised learning, and synthetic data creation. Prior work in video analytics, smart security systems, healthcare AI, or industrial automation.

About The Role : Client PnP Solutions Architect will develop and enhance a robust PnP AI/ML framework deployed across Intel Client platforms to achieve or surpass platform quality and PnP targets. Insights gained from these deployments and analytics will feed back into future client products and beyond by ensuring continuous improvement. Client PnP Solutions Architect will work on PnP KPIs/KEIs projections on customer configurations by considering dynamic factors like OS upgrades, third-party OEM components, and drivers by deploying insights from PnP AI/ML framework. Qualifications Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field:Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines. Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems. Hands-on experience in database design, deployment, and maintenance with programming using dot NET,.NET, LINQ, SQL Server, Web API 2.0, Net Core, JavaScript, C, C++, and Angular. Hand-on experience in creating, and deploying automation scripts using Python, C hash, and batch scripting to streamline workflows and enhance functionality. Experience in windows batch scripting, PowerShell scripting, Python and Windows automation. Working knowledge on development and maintenance of automation solutions for Adobe software, AI applications, 3D gaming platforms, browsers, and Microsoft Teams on Windows OS. Expertise in computer architecture and x86 architecture, working experience in platform, post-silicon and PnP validation. Sound knowledge and experience in various domains such as CPU, AI, Graphics, Gaming and Camera. Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. Deep Learning and Generative AI : Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers (BERT, BART, GPT/T5, Megatron, LLMs). Knowledge of various prompt techniques, including zero-shot, few-shot,Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications. ML Ops: Proven experience in deploying and maintaining high-scale AI-based systems.Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment.Familiarity with Docker, Helm, Kubernetes, etc.Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline. Preferred Skills: Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation. Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

About The Role : AI/ML technologist will focus on leveraging advanced capabilities in Deep Learning, Generative AI, and Agentic AI to revolutionize traditional manual validation and debug processes, transforming them into fully automated, intelligent systems which aim to reduce human intervention, enhance accuracy, and scale validation workflows to meet increasing demands.AI/ML Technologist will work with internal validation teams and Intel Labs deliver AI based modernization of system integration and validation solutions for client products execution. Researches technical trends and utilizes deep domain and expertise to prototype solutions and develop AI software including open-source libraries and models. Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. AI/ML Technologist will lead development of self-reasoning systems for improved test case generation, enhancing fault resolution quality, creating AI-assisted debugging solutions for both internal and customer issues, and building automated recommendation systems. Analyzing and elevating the overall customer experience will be crucial for long-term success. By integrating AI, the organization will deliver higher quality products and solutions. Qualifications Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field:Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines. Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems. Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. Deep Learning and Generative AI: Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers ( BERT, BART, GPT/T5, Megatron, LLMs). Practical experience with Retrieval-Augmented Generation (RAG) and LLM-based applications. Familiarity with LLM function calling, Information Retrieval, Vector Databases, Embedding, and Re rank models. Hands-on experience with large language model (LLM) agentic pipelines. Knowledge of various prompt techniques, including zero-shot, few-shot, Chain-of-Thought, Tree-of-Thought, and React. Database and Tools: Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications. ML Ops: Proven experience in deploying and maintaining high-scale AI-based systems. Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment. Familiarity with Docker, Helm, Kubernetes, etc. Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline. Preferred Skills: Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation. Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.