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Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Comms & Media - Telecom Title :- Level 9 – Ind & Func AI Decision Science Consultant Job location :- Bangalore/Gurgaon/Hyderabad/Mumbai About Global Network – Data & AI :- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network team. It focuses in serving clients across specific Industries – Communications, Media & Entertainment. Communications – Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment – Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Responsibilities/Authorities A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Qualifications JOB REQUIREMENTS – Overall Experience Overall 5+ years of experience in Data Science & at least 2 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages – Traditional techniques like – Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques – like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) – Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms – Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player – Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have – Exact optimization – Linear, Non-linear optimization techniques Evolutionary optimization – Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Accenture has not authorized any agency, company or individual to either collect money or arrive on any monetary arrangement in exchange for a job at Accenture. Accenture’s criterion for hiring candidates is merit. Any agency, company or individual offering employment with Accenture in exchange for money is misrepresenting their relationship with Accenture, which has not authorized any such action. If you are approached by any entity or individuals who demand money or any other form of compensation in return for a job offer at Accenture – even if they present themselves as representatives or employees of Accenture – please send the details to Accenture Business Ethics Line

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 :Natural Language Processing (NLP) Good to have skills :NA Minimum 10+ year(s) of experience is required Educational Qualification :15years fulltime of Education Key Reponsibilities :1 Able to engage with customers for solving business problems leveraging AI,NLP 2 Identifying applicability of ML,NLP to use cases with ability to project both the business,Technology benefits 3 Identify ways of embedding,integrating AI,ML services into the enterprise architecture seamlessly 4 Keep abreast of new technology innovations in the field of NLP, ML,bring it 5 Good understanding of machine learning algorithms such as CRFs , SVM 6 Expertise with Python Technical Experience : 1 Working experience in any of the NLP app areas Sematic Web and Ontologies Machine Translation Sentiment Analysis Document Classification Question Answer Matching Text Summarization Have worked with RNN, LSTM etc 2 Work exp in creating NLP pipelines for processing large amount of document corpus Professional Attributes :1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients1 Working knowledge of relational and NO SQL database systems

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

Stantec Digital Solutions is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on Digital Engineering transformation. We apply predictive technology to large volumes of data to solve a wide spectrum of problems. Stantec Digital Solutions works together with internal & external customers to address their business needs with Artificial Intelligence (AI) solutions. Digital Solutions has an opening for the position of Senior Machine Learning Engineer in the Pune, India office. The selected candidate will help solve problems and derive business value through the application of Machine Learning (ML) to engineering and science problems. The position calls for using massive amounts of disparate data to develop ML models. This person will get to work closely with a global innovation team and solve problems across different geographies. If youre eager to apply ML to a diverse array of enterprise Architectural, Environmental and Physical Engineering use cases, this is likely the position for you. Role & responsibilities Model Development and Deployment: Design, develop, and deploy machine learning models for computer vision, geospatial analyses, and LLM chatbots. Data Pipeline Management: Collect, preprocess, and analyze large datasets from diverse sources, including satellite imagery, geospatial data, and textual data. Performance Monitoring and Optimization: Monitor the performance of deployed models and implement improvements to enhance accuracy, efficiency, and scalability. Troubleshooting: Troubleshoot and resolve issues related to model performance, data drift, and software. Collaboration and Communication: Collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into existing systems. Research and Innovation: Stay up-to-date with the latest advancements in machine learning, computer vision, geospatial analysis, and natural language processing Preferred candidate profile Education: Bachelors degree in a quantitative field Experience: 5 years’ experience working on projects involving or directly adjacent to machine learning Cloud Computing: Proven experience with Cloud Platforms like Azure, AWS, or GCP. Programming Languages: Strong proficiency in Python & SQL. ML Algorithms: Experience with deep learning techniques and architectures (e.g., CNNs, RNNs, Transformers).