2309 Deep Learning Jobs - Page 38

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Description Responsibilities: Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation. Validate and benchmark model performance using real-world and simulated datasets. Work with the product team to ensure integration of developed models. Stay updated with the latest research in battery modeling and machine learning techniques. Research and collaborate with the team to incorporate electrochemical knowledge into ML models. Qualifications Preferred Skills & Tools: Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow) Strong grasp of time-series modeling, signal processing,

Akridata (https://akridata.ai) is a US-based, Series A-funded startup revolutionizing the quality inspection of manufacturing and infrastructure using cutting-edge Visual AI technologies. The team in India owns all product development and ML activities, providing exciting opportunities to be at the forefront of high-impact work. Responsibilities Ideate and experiment with approaches to address customers AI solution requirements using the platform and algorithmic capabilities. Work closely with customer specific AI solutioning requirements and connect it with the algorithmic capabilities available in the product charting out a plan of action. Participate in discussions with product and backend development teams to harden product requirements and interface decisions. What we are looking for 3+ years of computer vision experience with a proven track record of building production-grade deployments using traditional CV and deep learning techniques. 1+ years of experience with deep learning techniques for image/video data with sound understanding of the concepts, toolsets, and state-of-the-art practices. Strong Programming experience with Python for ML, with knowledge of software development practices towards contributing to a production-quality code base. Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks. Bachelors in Computer Science, Data Science, Statistics, or Mathematics Good to have Masters degree or Phd in Computer Science, Data Science, Statistics, or Mathematics. Experience publishing academic papers and/or implementing prototypes based on ongoing research ideas. Experience with performance improvement of ML models.

Flipkart is looking for Data Scientist - Operations Research to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Job TitleGraduate Engineer Trainee Company NameTitan Job TypeRP Job CategoryCentral Technology Services DepartmentCentral Technology Services LocationHosur, Tamil Nadu, India : Titan, a leading company in the Central Technology Services industry, is seeking a highly motivated and talented Graduate Engineer Trainee to join our team in Hosur, Tamil Nadu, India. As a Graduate Engineer Trainee, you will have the opportunity to work with cutting-edge technology and gain valuable experience in the field of Central Technology Services. Key Responsibilities: - Participate in training programs to learn about the company's products, services, and processes - Work closely with senior engineers to assist in the design, development, and implementation of new technology solutions - Conduct research and analysis to identify areas for improvement and make recommendations for process enhancements - Collaborate with cross-functional teams to support project initiatives and ensure timely delivery of projects - Assist in troubleshooting and resolving technical issues as needed - Stay updated on industry trends and advancements in technology to contribute innovative ideas to the team Qualifications: - Bachelor's degree in Engineering or a related field - Strong academic record with a minimum GPA of 3.0 - Excellent problem-solving and analytical skills - Proficiency in programming languages such as Java, C++, or Python - Familiarity with database management and SQL - Ability to work independently and in a team environment - Excellent communication and interpersonal skills - Willingness to learn and adapt to new technologies and processes Additional Parameters: - Previous internship or work experience in the Central Technology Services industry is a plus - Knowledge of Agile methodology is preferred - Willingness to relocate for future career opportunities within the company At Titan, we value diversity and equal opportunity in the workplace. We are committed to creating an inclusive environment for all employees and welcome applicants of all backgrounds to apply. Join our team and be a part of our mission to revolutionize the Central Technology Services industry. Work Experience Good knowledge in Linear Algebra, Vectors, Calculus, Statistics, Fourier Analysis Good knowledge in Signal processing Techniques like Wavelets, Shearlets, Curvelets, Bandlets etc., Good knowledge in Applied Mathematics like Gradient Descent, Convex Optimization, Lagrange, Quadratic Programming, Partial Differential Equations, and Summations Good Knowledge in machine learning algorithms, neural networks, natural language processing, and related AI technologies. Proficiency in programming languages such as C++, Python, R, Java, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge in data preprocessing, feature engineering, and model development and evaluation. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and derive actionable insights. Good Communication & Inter Personnel Skills Major Deliverables / Tasks : 1. Discovering New Possibilities - The role should deliver the below towards new Possibilities : - New AI/ML techniques, Tools / Models / algorithms for Industry 4.0 and Smart wearables - Use-cases based on emerging trends - Data Models with Reports for efficient Algorithms - Prototype Testing and Validation 2. Algorithm/ Code Development - The role should perform the below towards meeting the above objectives: - Conduct analysis to identify patterns, trends, and insights from large and complex datasets. - Collaborate with data engineers and data scientists to ensure data quality, integrity, and accessibility for AI and ML initiatives. - Monitor and evaluate AI and ML performance metrics, providing recommendations for improvements and optimization. - Develop Standard Plug-ins and Models for easy integration 3 . Reports and Documentation The role is expected to meticulously Compile all the support Details and Documents hailing from the core activities mentioned above and deliver the Blueprint of the Development Process

0px> Who are we? In one sentence We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and GenAI initiatives at Amdocs Services CTO.In this role, you ll be part of a growing data science team working on advanced AI/GenAI technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation services solutions. What will your job look like? Research and develop innovative AI-powered capabilities.Rapidly prototype and iterate based on data insights and user feedback.Design and build data-driven solutions with a strong emphasis on practical impact and performance.Collaborate closely with Product, analysts, and engineers to deliver production-grade machine learning models.Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. All you need is... At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

Company Profile: Job Title: AI Lead Position: Senior Software Engineer Experience: 4- 6 Years Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0525-0909 Employment Type: Full Time Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 4 -6 years of experience in AI/ML, with a strong portfolio of deployed solutions. Proven experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Hands-on expertise in LLMs (e.g., GPT, LLaMA, Claude), RAG architectures, and LangChain. Strong programming skills in Python and familiarity with cloud platforms (Azure, AWS, or GCP). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. Solid understanding of NLP, transformers, and prompt engineering Skills: Artificial Intelligence Client Management Telecommunications

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Looking for Generative AI, NLP, and Deep Learning.Proficient in PyTorch, Python & Prompt Engineering.Hands-on exp. with LLM fine-tuning & GPU acceleration.Previous exp. deploying AI models on the cloud. Candidates from IITs/NITs are highly preferred

Role & responsibilities : Research emerging AI trends and evaluate their potential applications in banking. -Collaborate with startups and external partners to explore and integrate innovative AI solutions. -Work closely with senior management to align AI initiatives with the banks strategic goals. -Lead the design, development, and implementation of AI solutions across various banking functions. -Identify opportunities for process optimization, risk management, and enhanced customer experience using AI technologies Preferred candidate profile Bachelor's or Masters degree in Artificial Intelligence, Computer Science, or a related field. - Strong knowledge of AI technologies, including LLMs, machine learning, natural language processing, and automation. - Ability to translate AI research into real-world banking solutions. - Excellent communication skills for engaging with startups and senior management. - Strong problem-solving and analytical capabilities. - Hard working - Willing, proactive, and motivated

This is an Internal document. About Kotak Mahindra GroupEstablished in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited. The consolidated balance sheet of Kotak Mahindra Group is over 1 lakh crore and the consolidated net worth of the Group stands at 13,943 crore (approx. US$2.6 billion) as on September 30, 2012. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company’s website at http://www.kotak.com What we offer Our mission is simple – Building trust. Our customers' trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best analytical and technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. – Kotak Data LabsKotak Data Labs plays a pivotal role in driving innovation and business growth at Kotak. The team collaborates with stakeholders and data providers, leveraging advanced analytics and Data Science / Machine Learning techniques to drive strategic decision-making across the bank. The core work charter includes supporting different products across the bank by developing solutions across the customer journey to drive Acquisition, Engagement and Retention using cutting-edge Data Science capabilities and Data platforms. The Data Scientist and Data Analyst role within the team involves deploying projects from conception to actionable insights, enabling data-driven marketing strategies, developing risk scorecards, building behavioral models and impact in the banking business. This role focuses on leveraging Data science techniques for model development, feature engineering, driving automation, process improvement, and operational efficiency while demonstrating innovative thinking, passion for data science and fostering cross-team collaboration. Establishing strong working relationship with stakeholders in the bank is also a key aspect of this role. This is an Internal document. Roles and ResponsibilitiesDeliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with crossfunctional teams Perform the data extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights Skill requirementsMaster’s or Bachelor’s Degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, etc.) Coding skills in Python, SQL Deep understanding and hands-on experience with ML/DL Algorithms Experience of working with large data sets and developing scalable solutions Knowledge of Marketing, Risk, Business, Banking and Financial services, E-Commerce is preferred Ability to work independently and deal with ambiguity Strong analytical and problem-solving skills Excellent presentation and strong written & verbal communication skills Knowledge of Banking products, Marketing strategies and Generative AI is a plus Highly motivated and collaborative team player with strong interpersonal skills

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualification Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

Job Description: AI Automation Developer: Design, develop, and deploy generative AI models Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms for deploying AI applications. Preferred candidates would have experience with DU (Document Understanding) OR DA (Document Automation).

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 : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Title - S&C GN AI - Insurance AI Consulting- Specialist Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Generative AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide regular coaching to juniors on advanced analytical concepts Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for Min 2-4 years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems Bachelors degree in Mathematics, Statistics, Economics , Computer Science, or related field MBA degree is mandatory Solid foundation in Statistical Modeling, Machine Learning algorithms, GenAI Proficiency in programming languages such as Python, PySpark, SQL or Scala Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders, as well as to engineer high-quality prompts Prior Insurance industry experience is mandatory Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: 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 : Machine Learning Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Job Title - S&C GN AI - Insurance Decision Scientist- Analyst Management Level: 11-Analyst Location: Pune, PDC2C Must-have skills: Data Analysis Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models for different insurance problems Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and translate them into data-driven solutions that deliver insights for action and operational improvements Consume data from multiple sources and present information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide coaching to junior team-members on advanced analytical concepts Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for 2-4 years of experience in data-driven techniques including exploratory data analysis and data pre-processing & machine learning to solve business problems for the Insurance Industry Bachelors degree in mathematics, statistics, economics, computer science or related fields Strong foundation in Statistical Modeling, Machine Learning algorithms including k-means clustering, linear & logistic regression, decision trees and others Proficiency in programming languages such as Python, SQL, PySpark with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Good communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Prior experience in the Insurance industry is mandatory Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: 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 : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : As part of our Data & AI practice, you will join a worldwide network of 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. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI Procurement Supply Chain Analytics - Manager Management Level :07 - Manager Location: Bangalore/ Gurgaon/Mumbai/Hyderabad/Kolkata/Chennai/Pune Must have skills: Machine learning, deep learning, Gen AI, cloud-based solutions (Azure, GCP, AWS), Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau. Good to have skills: Tableau/Power BI, Ariba, Coupa, Zycus, or Ivalua CL 7 [Data Science Manager Supply Chain & Operations Analytics (Sourcing and Procurement)] Job Summary : The Manager Sourcing and Procurement Analytics will be responsible for leading data-driven initiatives to optimize procurement and supply chain operations. This role requires a strong understanding of statistical methods, analytical techniques, and data science applications to drive meaningful insights. The manager will take a lead on client engagement on their projects, provide technical guidance, and lead a team of analysts to solve complex procurement and supply chain challenges using advanced analytics. Roles and Responsibilities: An expert in sourcing and procurement operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics. Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Utilize statistical models, machine learning, simulation and optimization techniques to enhance procurement and supply chain operations. Implement analytics to evaluate supplier performance, optimize procurement costs, and mitigate supply chain risks. Team Leadership & Development: Mentor and guide a team of analysts and consultants in developing analytical solutions. Foster a culture of innovation and continuous learning within the team. Ensure knowledge sharing and best practices are followed across projects. Technology and Process Optimization: Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions. Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis Collaborate with IT and procurement teams to improve data integration and system automation. Experience and Education: A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred. Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science). Certifications in one or more areas will be an added advantage:Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS). Technical & Professional Skills: Proven ability to drive analytics-driven procurement transformation projects. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics. Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Excellent written and verbal communication skills, with the ability to interact with senior stakeholders. Additional Information: Proficiency in data visualization tools like Tableau/Power BI. Experience with procurement tools such as Ariba, Coupa, Zycus, or Ivalua. Prior experience in client-facing roles and managing large-scale procurement analytics initiatives. About Our Company | Accenture Qualification Experience: 7-9 years of experience Educational Qualification :Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science)

Role & responsibilities Deliver lectures, tutorials, and lab sessions as per the curriculum. Design course materials, assessments, and learning outcomes. Guide student projects, internships, and research work. Participate in curriculum development and academic planning. Engage in scholarly research and publish in peer-reviewed journals. Attend departmental meetings and contribute to administrative responsibilities. Support institute-level activities including student development, events, and outreach. Maintain a professional, inclusive, and student-centered teaching environment. Preferred candidate profile ME/M.Tech/PhD

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 : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of NLP algorithms for text analysis.- Design and develop NLP models for sentiment analysis.- Optimize NLP models for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Google Cloud Machine Learning ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years 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. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. 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 maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - 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.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX 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, NLP 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 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- 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.- A 15-year full time education is required Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical 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 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- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - 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.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX 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 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- 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.- A 15-year full time education is required Qualification 15 years full time education