1002 Keras Jobs - Page 39

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Level of Responsibility: Works independently with minimal supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

1. Looking for an AI/ML engineer, preferably 5+ years of overall experience with at least 3+ years of relevant experience in developing, deploying, monitoring and evolving AI based solutions. 2. Should have demonstrated ownership in entire AI/ML project lifecycle, from conceptualization to deployment and maintenance of AI applications. 3. Should be a hands-on Python developer, writing efficient clean code, with experience in concurrent programming as well as designing scalable systems 4. Should have extensive hands-on experience in: a) custom AI model development (including selection of appropriate Pre-trained models if any, hyper-parameter optimization and fine-tuning) b) evaluation of models using the relevant metrics - should be able to justify choice of metrics over others depending on the use cases c) ML Ops for deploying, maintaining & monitoring d) continuous improvement of models based on feedback loops -Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Should be able to work as a team player with other developers, designers and product managers - Should be well versed with recent AI research & trends, and adept at discovering and leveraging state-of-the-art open source models/libraries for various use cases BFSI experience could be an added advantage but open to all Role: Machine Learning Engineer Industry Type: Information Technology Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Key Skills Python machine learning artificial intelligence product management AI/Ml SQL Data science

Position Overview: As an AI Engineer, you will be responsible for designing, developing, and implementing cutting edge artificial intelligence solutions to address complex problems for banking domain. You will collaborate with cross-functional teams to understand business requirements and leverage AI technologies to create innovative solutions. Job Description: Design and implement generative AI models, including GANs, VAEs, and transformers, as well as large language models such as GPT, BERT, LLAMA and similar to create high-quality synthetic data and other outputs. Use cutting edge technologies to create a faster, more capable AI. Preprocess and analyse large datasets to train and validate AI and LLM models. Analyse statistics, data, and algorithms for projection accuracy. Use AI analysis to make strategy recommendations that align with company goals. Work with a team of machine-learning and data engineers to ensure seamless AI development and integration. Collaborate with software engineers to integrate AI models into production systems, ensuring scalability, reliability, and performance. Stay current on AI knowledge, trends, regulations and proactively apply them to enhance existing solutions. Collect, organize, and present progress with team leadership and stakeholders. Maintain thorough documentation of models, experiments, and methodologies. Qualifications: Proven experience in developing and deploying machine learning models in real-world applications. Proficiency in programming languages such as Python, Java, or C++, with experience in libraries and frameworks for AI development. Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques. Hands on experience with GANs, VAEs, transformers and LLMs such as GPT, BERT, LLAMA and similar with experience on TensorFlow, PyTorch, Keras, or Apache MXNet. Familiarity with natural language processing libraries such as NLTK, spaCy, or Transformers. Experience in computer vision tasks using frameworks like OpenCV, TensorFlow Object Detection API, or PyTorch Vision. Familiarity with cloud platforms like AWS, GCP, or Azure. Excellent problem-solving skills and the ability to work effectively in a fast paced, collaborative environment. Effective communication skills with the ability to convey complex technical concepts to nontechnical stakeholders. Demonstrated ability to manage multiple projects simultaneously and deliver highquality results on time.

SUMMARY About tsworks tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment, we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements About this Role We are seeking a dynamic and passionate ML Ops Engineer to join our AI Research and Development team. Our AI Research team focuses on solving unique challenges while pushing the boundaries of AI research and innovation, turning these advancements into real-world impact for our customers. The ideal candidate will have a strong foundation in machine learning concepts and have experience in creating, validating and deploying models into the cloud for scalable inference. This role demands a deep understanding of ML model creation and deployment workflows, standard algorithms, and cloud technologies. Requirements Position : ML Ops Engineer Experience : 7+Years Location: Bengaluru (Hybrid), India. For a strong candidate, remote is an option. In this role, you will: Conduct Model Development: Develop, optimize, and validate ML models using scikit-learn, TensorFlow, Keras or PyTorch. Perform Validation and fine-tuning: Validate and optimize models to meet necessary accuracy and efficiency requirements. Champion Cloud Deployment: Design and deploy ML solutions on cloud platforms such as AWS, Azure, or GCP, ensuring efficiency and scalability. Experience in using MLFlow/Mosaic, SageMaker, ModelBuilder, ModelRegistry etc. will be crucial. Manage ML Infrastructure: Manage the lifecycle of machine learning models, including training, evaluation, deployment, and monitoring. Lead AutoML: Create/train/evaluate/deploy models using AutoML frameworks Be a DevOps proponent: Set up CI/CD pipelines for ML projects, containerization of inference modules. Build APIs: Develop REST APIs for model deployment using frameworks such as FastAPI, Flask or Django Generate Data Insights: Analyze large-scale data sets to derive actionable insights and guide AI/ML solution design. Contribute to Product Development: Collaborate with cross-functional teams to design and integrate AI/ML components into innovative products and services. Stay updated with the latest advancements in AI/ML and contribute to the broader research community. Minimum Qualifications: Bachelor’s degree or equivalent practical experience in Computer Science, Data Science, or a related technical field. Candidates with a Master’s degree or PhD preferred. 7+ Years of Information Technology experience. 3+ years of experience with cloud-based ML infrastructure, including model deployment, evaluation, optimization, deployment, and monitoring. 5+ years of experience in software development, working with data structures and algorithms in one or more programming languages (e.g., Python, Java, R). What We Offer: The opportunity to work on cutting-edge AI/ML projects that address real-world challenges. A collaborative environment where innovation and leadership are encouraged. Access to industry-leading tools and platforms, enabling you to push the boundaries of AI. About the Team: The tsworks AI Research Team focuses on advancing AI technology and applying it across industries. We work on diverse challenges, ranging from information retrieval to AI-driven retail and healthcare solutions, aiming to deliver tangible customer benefits. Join us to be at the forefront of AI innovation, delivering meaningful impact to businesses and society.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: "¢ Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. "¢ 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Experience - 2 to 12 years Location - Bangalore General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. Responsibilities Software development of the AI orchestration framework, engine, and tools to develop agentic workflows and execution of the latest Neural Networks on Snapdragon chips. Validate the performance and accuracy of your software through detailed analysis and test of the use cases. Minimum Qualifications Software development experience using C/C++ and/or Python Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Experience in developing applications using Inter-Process Communication (IPC), like AIDL or SOME/IP. Strong communication skills (verbal, presentation, written) Preferred Qualifications Experience in developing embedded applications with low level interactions between operating systems (e.g., Linux, Android, Windows, QNX) and Hardware. Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, and other NN architectures. Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras). Software development experience with Java Ability to collaborate across a globally diverse team and multiple interests Education Requirements Required:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Preferred:Bachelor's Computer Science, Computer Engineering, or Electrical Engineering

Senior AI/ML Engineer About The Role ::Sr. AI/ML Engineer (2-10 years of experience) multiple positionsPosition Overview:We are seeking a talented and motivated AI-ML Engineers to join our team. As an AI/MLEngineer, you will be responsible for developing and implementing AI/ML solutions, utilizingyour expertise in AI/ML algorithms, programming languages (primarily Python), time-seriesanalysis, forecasting, and cloud technologies. The ideal candidate will have 2 to 8 years ofexperience working with AI/ML technologies and a strong foundation in softwaredevelopment principles.Responsibilities:- Collaborate with cross-functional teams to identify and understand business requirements,and translate them into AI/ML solutions.- Design, develop, and implement AI/ML algorithms and models, utilizing programminglanguages such as Python.- Build and train machine learning models, utilizing frameworks such as TensorFlow, Keras,or PyTorch.- Analyze large datasets, perform data pre-processing, including time-series data, andconduct feature engineering to improve model performance.- Apply time-series analysis techniques for data exploration, trend identification, andanomaly detection.- Develop forecasting models for predictive analytics and decision-making.- Build solutions using modern Gen AI LLM frameworks.- Optimize and fine-tune models to enhance accuracy, efficiency, and scalability.- Utilize version control systems, particularly Git, to manage and track code changes andcollaborate with team members effectively.- Deploy AI/ML models on cloud platforms such as AWS, Azure, or Google Cloud, ensuringscalability and reliability.- Monitor and maintain deployed models, conduct regular performance evaluations, andimplement necessary updates and improvements.- Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, time-series analysis, and forecasting, and proactively suggest innovative solutions.- Communicate and present technical concepts, findings, and recommendations to bothtechnical and non-technical stakeholders.Required Qualifications:- 1 to 7 years of professional experience working on AI/ML solutions, including hands-onexperience with machine learning algorithms, deep learning frameworks, data pre-processing techniques, time-series analysis, and forecasting.- Experience in building solutions using LLM tools and frameworks.- Proficiency in programming languages, with a strong emphasis on Python, and familiaritywith libraries and frameworks such as scikit-learn, pandas, NumPy, and SciPy.- Experience using an experiment-tracking tool like mlflow.- Strong understanding of statistical analysis, linear algebra, probability theory, and time-series concepts.- Excellent knowledge of version control systems, particularly Git, and collaborativedevelopment workflows. - Knowledge of cloud platforms(any one) such as AWS, Azure, or Google Cloud, andexperience with deploying and managing AI/ML models in a cloud environment.- Solid understanding of software development principles and best practices, includingtesting, code documentation, and debugging.- Excellent problem-solving and analytical skills, with the ability to work on complex AI/MLchallenges and deliver high-quality solutions within deadlines.- Strong communication and interpersonal skills, with the ability to collaborate effectivelywith cross-functional teams and present technical concepts to non-technical stakeholders.Desirable Qualifications:- Bachelors or Masters degree in Computer Science, Engineering, or a related field isdesirable but not mandatory.- Familiarity with containerization technologies such as Docker and orchestration tools likeKubernetes.- Knowledge of distributed computing and parallel processing concepts.- Understanding of natural language processing (NLP) techniques and frameworks.- Contributions to open-source AI/ML projects or research papers in the field.- Relevant certifications in AI/ML technologies.- Experience on data labelling tools, frameworks, and strategies- Experience with ML/DL topologies like GraphML, GANs etc.- Experience developing and deploying AI/ML solutions using DS/ML platforms- Understanding of REST services and microservices architectureNote:The above job description is a general outline of the required duties, responsibilities,and qualifications for the AI/ML Developer position. It is not exhaustive and may be subjectto changes and modifications based on business needs and organizational priorities.

Candidates with 8 years of experience in Develop, train, optimize, and deploy ML/Deep Learning/Generative AI models. Expertise in NLP, Transformers, Large Language Models (LLMs), deep learning framework (PyTorch, TensorFlow, Keras). Required Candidate profile Strong understanding of ML operations (MLOps), including CI/CD for ML workflows. Experience with deploying ML models in production and working with cloud-based AI solutions (AWS, GCP, Azure)

About the Role The Consumer Model Development Centre, within CDAI organization, is looking for Quantitative analytics specialist to join our team and help us solve challenging and interesting business problems through data exploration, advanced analytics and visualization. In this highly valued role, you will be working on ML/AI models within the Center of Excellence (COEs) with varied competencies, including Developing Models, Monitoring, Deployment, and Analytic Quality Review. This role is highly hands on position in the area of ML/AI and Data science across. Responsibilities Required to work individually or as part of a team on data science projects and work closely with business partners across the organization. Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Spark, and H2O etc. Ability to work with large datasets using SQL and present conclusions to key stakeholders. Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions. Build quick prototypes to check feasibility and value to business. Develop and maintain modular code-base for reusability Review and validate models and help improve the performance of the model under the preview of the banking regulations. Work closely with technology teams to deploy the models to production. Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements Required skills: 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline Desired Skills Bachelors or Master's degree in Engineering field like computer science, Information technology, Electrical Engineering etc. M.Sc./M.Phil. in statistics/economics/mathematics/ operations research engineering physics 3-5 years of relevant hands on experience in data science and advanced analytics. Must have hands on exposure in Python and SQL. Working knowledge of libraries like, sckit-learn, pandas, numpy, mllib, matplotlib, keras Proficiency in data mining and statistical analysis. Experience in developing, implementing models. Statistical models linear regression, logistic regression, time series analysis, multivariate statistical analysis Machine learning models Random forest, XGBoost, GBM, SVM Exposure to deep learning framework - ANN,RNN, CNN, LSTM Excellent understanding of model metrics including AUC, ROC, F-statistics etc. with clear understanding of how model performance is tuned Strong programing skills. Exposure in one or more of Big Data skills SQL, Aster, Teradata, Hadoop, SPARK, H20, BigQuery. Exposure to Google Cloud Platform Critical thinking and strong problem solving skills Ability to learn the business aspects quickly Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.is desirable Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry is desirable Ability to multi-task and prioritize between projects Ability to work independently and as part of a team Working expertise in Tensorflow, Keras or Pytorch would be added advantage

Our Mission and Purpose Mission: Leverage Indias high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting Role : Lead Data Engineer At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally. Our Mission and Purpose Mission: Leverage Indias high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Creating and maintaining documentation to support stakeholders and runbooks for operational excellence Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or masters degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) Exposure to building cloud ready applications Exposure to test-driven development and integration Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with ability to manage workload and meet deadlines in a fast-paced environment Collaborative team player Excellent verbal and written communication skills and command of English Willingness to travel Respect for confidentiality Technical Background Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels We are hiring for engineering role across the levels from Data Engineer to Lead Data Engineer level for experience ranging from 0-8 years. In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team.

Description: The successful candidate will be instrumental in helping to build, test, and maintain the infrastructure and tools to allow for the speedy development and release of software and updates, as well as pushing the limits of a wide breadth of the tools and approaches to AI/Machine Learning for our advanced products and system using video information and IoT systems. The successful candidate possesses experience researching and developing new projects with a team, while applying knowledge communication ability to discussion on problem requirements and the planning of new ideas with the team and stakeholders. Requirements: Qualifications: Minimum of 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK) Strong Python experience Minimum of 3 years of experience with Machine Learning/AI or Computer Vision development/engineering Ability to provide technical leadership to developers for designing and securing solutions Understanding of Linux utilities and Bash Familiarity of containerization with Docker Experience with data pipeline frameworks, such as MetaFlow (preferred) Experience in Lambda, SQS, ALB/NLBs, SNS, and S3 (preferred) Experience with AWS Fargate Serverless Computing Engine (preferred) Practical experience deploying Computer Vision/Machine Learning solutions at scale into production Exposure and/or understanding of technologies/tools such as: Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML" Job Responsibilities: Building and setting up new development tools and infrastructure Designing, building, and maintaining efficient, reusable, and tested code in Python and other applicable languages and library tools Understanding the needs of stakeholders and conveying this to developers Working on ways to automate and improve development and release processes Bringing your professional and high-level experience in working with video technologies in areas of preprocessing, neural nets, computer vision, etc. Deploying Machine Learning (ML) to large production environments Driving for continuous learning in the AI and computer vision fields Testing and examining code written by others and analyzing results Ensuring that systems are safe and secure against cybersecurity threats Identifying technical problems and developing software updates and ‘fixes’ Working with software developers and software engineers to ensure that development follows established processes and works as intended Planning out projects and being involved in project management decisions." What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About the Role A Senior Machine Learning Engineer is an accomplished expert in designing and deploying advanced machine learning solutions. The individual possess deep expertise in algorithms, programming languages like Python, and specialized frameworks. This role involves leading complex machine-learning projects, making critical architectural decisions, optimizing performance models, and collaborating with interdisciplinary teams. Senior Machine Learning Engineers contribute to cutting-edge research, develop innovative solutions, and stay at the forefront of the field to deliver impactful and state-of-the-art machine learning applications. Job Location : Ahmedabad or Pune (Onsite) Responsibilities Designing and programming machine learning methods and integrating them into our ML framework/pipeline. Evaluating and validating the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science. Provide mentorship and guidance to junior machine learning engineers, to review and improve their code, ensuring adherence to coding standards, performance optimization, and maintainability. Helping junior team members enhance their technical skills and overall professional development. Stay up-to-date with the latest advancements and trends in machine learning, deep learning, and related fields. Conduct research and explore new technologies, frameworks, and tools to improve our machine-learning models and processes. Collaboratively design and implement machine learning systems and infrastructure, leveraging your experience to make informed decisions and drive successful outcomes. Requirements B.E.\B. Tech\M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image, and signal processing, or statistics preferred. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world data. Strong programming background, and knowledge of software engineering concepts (OOP, design patterns). Knowledge of machine learning libraries TensorFlow, Jax, Keras, Scikit-learn, PyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, advanced probability concepts, linear algebra. Ability to perform both independent and collaborative research. Excellent written and spoken communication skills. A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems is a big plus.

What you'll be doing As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/ Machine Learning/ Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above.

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Computer Vision Good to have skills :No Technology Specialization

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : DevSecOps Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years of educational qualifications Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve working with DevSecOps and ensuring the security of the applications being developed. Roles & Responsibilities: Design, develop, and maintain secure applications using DevSecOps principles. Collaborate with cross-functional teams to identify and prioritize application requirements. Configure and customize applications to meet business process requirements. Ensure the security of applications being developed by implementing security best practices and conducting regular security assessments. Professional & Technical Skills: Must To Have Skills:Strong understanding of DevSecOps principles and practices. Good To Have Skills:Experience with containerization technologies such as Docker and Kubernetes. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with configuration management tools such as Ansible, Chef, or Puppet. Experience with scripting languages such as Python, Ruby, or Bash. Additional Information: The candidate should have a minimum of 5 years of experience in DevSecOps. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering secure and scalable applications. This position is based at our Bengaluru office.

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 : Natural Language Processing (NLP) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Implement and optimize NLP algorithms and models to improve performance and accuracy. Stay up-to-date with the latest advancements in NLP and AI technologies, and integrate innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits Experience in implementing various NLP algorithms and models. Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization Have worked with RNN, LSTM etc. Work exp in creating NLP pipelines for processing large amount of document corpus Expertise with Python Additional Information: 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.-Be a self-starter and a fast learner Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills Qualification BE

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 : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with machine learning techniques, including deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: Design and develop machine learning models and algorithms for various applications. Implement and optimize machine learning models on large datasets. Collaborate with cross-functional teams to integrate machine learning models into production systems. Stay up-to-date with the latest advancements in machine learning and AI technologies.Professional & Technical Skills:Machine Learning Modeling: Develop, implement, and optimize machine learning models for various applications, including customer segmentation, regression analysis, time series forecasting, and clustering. Develop, implement, and optimize machine learning models using the AWS machine learning stack, including SageMaker, S3, Lambda, and other relevant services. Explore and apply advanced machine learning techniques to solve complex business problems.Generative AI: Utilize AWS Generative AI capabilities to create and deploy models for tasks such as image generation, text-to-image synthesis, and other generative applications. Stay updated on the latest advancements in generative AI and incorporate emerging technologies into the development process.Data Exploration and Analysis: Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.Feature Engineering: Collaborate with data engineers to preprocess and engineer features that enhance model performance. Ensure data quality, consistency, and integrity throughout the modeling process.Model Deployment: Deploy machine learning models and generative AI models into production environments using AWS services. Implement scalable and efficient solutions for real-time and batch predictions. Additional Information: The candidate should have a minimum of 5 years of experience in machine learning. 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 AI-driven solutions. This position is based at our Bengaluru office. Qualification BE

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : React.js Good to have skills : NA Educational Qualification : 15 Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have Skills :React.jsGood to Have Skills : Job Requirements :Key Responsibilities :Lead the design development and implementation of highquality applications using Reactjs Collaborate with crossfunctional teams to ensure timely delivery of applications that meet business requirements Provide technical guidance and mentorship to team members ensuring adherence to best practices and standards Identify and mitigate technical risks ensuring the stability and scalability of applications Technical Experience :Professional and Technical Skills Proficiency in Reactjs Strong understanding of Front End Development best practices and standards Professional Attributes :Good Communication skills Educational Qualification:15 Additional Information :

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Machine Learning Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : BE Summary :As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with machine Learning, Natural language processing, and other related technologies. Roles & Responsibilities: Convert a business problem into a data driven ML solution Develop, Manage, architect ML and advanced analytics models Examine data from multiple sources and share insights Act as Subject Matter Expert in area of data science Experiment design, evaluation, creation and analysis of dashboards reports and evaluation, defining metrics Product Leadership:influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results Professional & Technical Skills: End to end knowledge of Life Cycle of ML Model Use of Python as Data Science tool kit Strong Programming skill in Python for Data ETL activities Expertise in Python to deploy ML and Advanced analytics models. Ability to derive insights from analytical and ML models. Knowledge of Statistics:hypothesis testing, regression Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. 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 AI-driven solutions. Qualification BE

Responsibilities Develop and deploy computer vision algorithms and deep learning models for diverse problems. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing. Analyze, evaluate and optimize existing computer vision systems to improve performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions that meet project requirements. Monitor the performance and accuracy of computer vision models, making necessary adjustments and improvements. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements 3 - 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science, or a related field. Proven experience in developing computer vision systems, including hands-on implementation and deployment. Strong knowledge of computer vision algorithms, libraries and tools, such as OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, PIL, Matplotlib, Seaborn, etc. Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL. Expertise in various computer vision projects, including object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking and model compression/optimization. Knowledge of runtime AI frameworks like ONNX, TensorRT, OpenVINO. Experience in cloud platforms (AWS, Azure), Docker, Kubernetes and GitHub. Experience in training models through GPU computing or on the cloud. Familiarity with machine learning and deep learning concepts and frameworks. Excellent problem-solving skills and the ability to think analytically. Good written and verbal communication skills for effectively communicating with the team and ability to present information to varied technical and non-technical audiences. Ability to work independently and in a fast-paced environment and also be able to work in a team when required. Desired Candidate Profile Experience: 3 - 5 years Location: Bangalore/Coimbatore Qualification: Computer Science or a related field Job Type: Full-Time, Permanent Schedule: Day Shift, Monday to Friday Workplace Type: On-site (Work from Office) Notice Period: Immediate

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, 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. WHAT'S 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 Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll 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 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 12 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. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth 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 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. 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.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Cloud Data Architecture Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : Any degree Summary :As an AI / ML Engineer, you will develop applications and systems utilizing AI to enhance performance and efficiency, incorporating deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: Expected to be a SME with deep knowledge and experience. Should have influencing and Advisory skills. Engage with multiple teams and responsible for team decisions. Expected to provide solutions to problems that apply across multiple teams. Provide solutions to business area problems. Lead AI/ML projects from conception to implementation. Collaborate with cross-functional teams to design and develop AI solutions. Stay updated on the latest AI/ML technologies and trends. Professional & Technical Skills: Must To Have Skills:Proficiency in Cloud Data Architecture. Strong understanding of AI and ML concepts. Experience in developing AI applications using deep learning and neural networks. Knowledge of chatbots and natural language processing. Hands-on experience with AI/ML tools and frameworks. Familiarity with cloud platforms for AI/ML deployment. Additional Information: The candidate should have a minimum of 18 years of experience in Cloud Data Architecture. This position is based at our Mumbai office. A degree in any field is required. Qualifications Any degree

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

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 Platform Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML lead, 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 Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. Design, 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 using python. 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 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 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 Total 15 years of full time education