Strong programming skills in Python or R, with good knowledge in data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, seaborn) Knowledge of machine learning techniques algorithms. FMCG industry will be preferable. Required Candidate profile Hands-on knowledge on machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Proficiency in SQL for data extraction, integration, and manipulation to analyze large datasets. Perks and benefits To be disclosed post interview

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Master's degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

1. Data Architect/Data Engineer with 4-10 years of experience 2. Ability to communicate with global customers 3. Ability to gather and document the requirements and ask right questions to the stakeholders 4. Should be able in UK shift (till 11PM IST) Technical Proficiency - Databricks: Cluster types and their functionalities. Mechanisms for sharing notebooks. Understanding and usage of DBFS (Databricks File System). Explanation and use cases of widgets. Azure SQL Database: Differences between PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Concept and application of CTEs (Common Table Expressions). Python and Data Frameworks: Basic operations with Pandas DataFrames. Understanding of PySpark DataFrames and their differences from Pandas. Awareness of commonly used Python libraries and their application

MustHaveSkills 7+ years experience in developing scalable web applications Hands-on development using Python with FastAPI Front-end development using any JS Proven experience in leading a full stack development team Strong understanding of RESTful services and modern web architecture GoodToHaveSkills Cloud deployment experience AWS / Azure / GCP Hands-on with containerized solutions: Docker and Kubernetes Strong problem-solving and team collaboration abilities Please include the following details when submitting your profile to mounika.tungala@coforge.com. Current CTC Expected CTC Current Location Ready to work from office : Notice Period Only Immediate Joiners or Max 15 Days

Execute full lifecycle software development Write well designed, testable, efficient code Develop software verification plans and quality assurance procedures Document and maintain software functionality Tailor and deploy software tools, processes, and metrics Desired Skills and Experience Strong analytical skills Skilled in c,c++,java,asp,vb,python,tensor flow,keras,pandas Skilled in javascript, HTML, CSS Strong understanding of databases (RDBMS) Loves to learn new technologies and is a fast learner Be extremely customer centric. Should like going the extra mile to make the customer happy.

Expert in Python, with knowledge of at least one Python web framework such as Flask, FAST, Django etc. Knowledge and experience on using Python libraries like Numpy, Pandas, Polars, Dask. Familiarity with some ORM (Object Relational Mapper) libraries. Familiarity with Relational and/or No-SQL databases. Proficient in using editors like VS Code, Eclipse, PyCharm, PyScripter etc. Understanding of fundamental design principles behind a scalable application. Strong unit test and debugging skills. Proficient understanding of code versioning tools such as Git, Mercurial or SVN. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. Knowledge of Kafka would be a huge plus.

All Levels Comms & Media Non-Networks Join our team in Strategy consulting to find endless opportunities and solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Comms & Media, Industry Consulting, S&C Global Network (GN) I Areas of Work: Non-Networks | Level: Manager & Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore, Pune, Hyderabad | Years of Exp: 8- 15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network (GN) 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 dynamic 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, works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability.From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with client's business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role: Skills in one or more Telecom areas Should have an excellent knowledge on various BSS modules and Telco Journeys such as CRM, Order Management, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, Lead to Cash etc. Digital Transformation - Proven experience in Strategy, Innovation and Digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Cloud BSS - Determine the appropriate Cloud deployment model & design BSS journey to cloud strategies engineered to accelerate ROI and performance. Good to have knowledge of tools like AWS, Azure, SFDC, etc. Business Strategy - Leading/managing strategic initiatives and develop project plans, frame and conduct insightful analyses, identify solutions, and develop business cases and implementation plans for CSPs across the globe Transformation & Project Governance - Drive profitability and continued success though managing service quality, cost and leadership of the people delivering services across projects/ programs/portfolios of all scale Should have understanding of lean concepts and hands-on experience in delivering technology-driven business transformation projects using agile practices such as Scrum, Kanban, SAFe, etc. Experience in agile related tools like JIRA Confluence/Rally/MS Projects/VersionOne Certification profession in PSM/CSM/SAFe/ICP-ACC Skills in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters, Program Delivery Managers Business Analysis - Gather requirements from business and prepared requirement documents. Propose solutions to the client based on gap analysis for the existing Telco platforms. Analyse large data to conduct analysis and present insights with visualisations Process Improvement - Understand issues with the current processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Value Architect and Tracking - Create value driver trees to breakdown into value components of business objectives and value drivers Other required skills Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to senior client leadership and lead conversations Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong program management skills Cross-cultural competence with an ability to thrive in a dynamic environment Qualifications Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience At least 1-15 years of progressive business and/or telecom and consulting experience Knowledge of Telco BSS/OSS stack, its various components, and interactions / flows Strong telecom industry background experience and knowledge of BSS processes for B2C and B2B areas Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM certification is highly desirable 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 soft skills Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, telecom technology etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Certifications like CBAP, CSM, SPC, Prince 2 or PMP will be an added advantage For Experienced candidates, experience of team Management Coach and mentor team members in projects, on asset development, BDs and overall professional development Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, .

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

Job Title - S&C Global Network - AI - Marketing (MMM) - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Market Mix Modeling (MMM) 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. Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. 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. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading 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. Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress About Our Company | Accenture Qualifications Experience: 8 to 10 Years Educational Qualification: B.Com with 15 yrs edu

Job Title: Data Engineer – Snowflake & Python About the Role: We are seeking a skilled and proactive Data Developer with 3-5 years of hands-on experience in Snowflake , Python , Streamlit , and SQL , along with expertise in consuming REST APIs and working with modern ETL tools like Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling , data warehousing , and data profiling , and will play a key role in designing and implementing robust data solutions that drive business insights and innovation. Key Responsibilities: Design, develop, and maintain data pipelines and workflows using Snowflake and an ETL tool (e.g., Matillion, dbt, Fivetran, or similar). Develop data applications and dashboards using Python and Streamlit. Create and optimize complex SQL queries for data extraction, transformation, and loading. Integrate REST APIs for data access and process automation. Perform data profiling, quality checks, and troubleshooting to ensure data accuracy and integrity. Design and implement scalable and efficient data models aligned with business requirements. Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver actionable solutions. Implement best practices in data governance, security, and compliance. Required Skills and Qualifications: 3–5 years of professional experience in a data engineering or development role. Strong expertise in Snowflake , including performance tuning and warehouse optimization. Proficient in Python , including data manipulation with libraries like Pandas. Experience building web-based data tools using Streamlit . Solid understanding and experience with RESTful APIs and JSON data structures. Strong SQL skills and experience with advanced data transformation logic. Experience with an ETL tool commonly used with Snowflake (e.g., dbt , Matillion , Fivetran , Airflow ). Hands-on experience in data modeling (dimensional and normalized), data warehousing concepts , and data profiling techniques . Familiarity with version control (e.g., Git) and CI/CD processes is a plus. Preferred Qualifications: Experience working in cloud environments (AWS, Azure, or GCP). Knowledge of data governance and cataloging tools. Experience with agile methodologies and working in cross-functional teams.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- GN Data &AI CMT (Communication, Media & Technology) Title :- Ind & Func AI Value Strategy Associate Manager Job location : Bangalore / Hyderabad / Pune / Gurugram About S&C - Global Network :- Accenture 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? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in CMT. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Qualifications Qualifications Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Master's degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 8 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization.

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Sr Analyst / Analyst Job location:- Gurugram, Bengaluru About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S 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 Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll 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 Qualifications 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 Bachelor’s 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

Key Responsibilities: Leverage traditional machine learning techniques (decision trees, random forests, SVM, logistic regression) to build predictive models. Analyze complex datasets to identify key trends and provide data-driven insights for business decisions. Partner with cross-functional teams to understand business needs and translate them into effective ML solutions. Rigorously evaluate and optimize models for accuracy and real-world performance. Apply statistical and mathematical principles to enhance analytical outcomes. Communicate findings and model insights to both technical and non-technical stakeholders. Desired Skills and Qualifications: Deep understanding of traditional machine learning algorithms (decision trees, clustering, Naive Bayes, SVM, etc.). Strong proficiency in mathematics and statistics (linear algebra, probability, statistical inference). Proven ability to translate business problems into analytical frameworks and actionable insights. Expertise in data processing, cleaning, and feature engineering using Python (pandas, NumPy). Hands-on experience building and deploying ML models using Python and libraries like scikit-learn. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration skills to effectively convey technical results. Familiarity with ML tools and frameworks (Scikit-learn, XGBoost, LightGBM). Experience with model evaluation, validation, and optimization techniques. Business acumen and the ability to apply ML to solve real-world business challenges. Preferred Qualifications: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. 3+ years of experience as a Data Scientist with a focus on machine learning. Demonstrated experience in driving business decisions through data analysis and modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have Skills :Google BigQuery, SSI: NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements :Key Responsibilities :1:Assists with the data platform blueprint and design, encompassing the relevant data platform components.2:Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.3:The Data Engineer performs tasks such as data modeling, data pipeline build, data lake build, scalable programming frameworks Technical Experience :1:Expert in Python - NO FLEX. Strong hands-on- knowledge in SQL - NO FLEX, Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills2:Exp with building solutions using cloud native services:bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes NO FLEX3:Pro with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline Professional Attributes :1:Good communication 2:Good Leadership skills and team handling skills 3:Analytical skills, presentation skills, ability to work under pressure 4:Should be able to work in shifts whenever required Educational Qualification:Additional Info : Qualification 15 years full time education

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Preferred Technical and Professional Experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms

The role of this Data/AWS engineer will be to develop data pipelines for specialty instrument data and Gen AI processes, support the development of classification and prediction models, create and maintain dashboards to monitor data health, and set up and maintain services in AWS to deploy models, and collect results. These pipelines will be part of foundational emerging data infrastructure for the company. We seek someone with a growth mindset who is self-motivated, a problem solver, and someone energized by working at the nexus of leading-edge software and hardware development. This position will follow a hybrid model work approach( 3 days a week , Tuesday, Wednesday and Thursday working from GCC office, RMZ ecoworld, Bellandur, Bangalore). • Build data pipelines in AWS using S3, Lambda, IoT core, EC2, and other services. • Create and maintain dashboards to monitor data health. • Containerize models and deploy them to AWS • Build python data pipelines that can handle data frames and matrices, ingest, transform, and store data using pythonic code practices. • Maintain codebase: use OOP and/or FP best practices, write unit tests, etc. • Work with Machine Learning engineers to evaluate data and models, and present results to stakeholders in a manner understandable to non-data scientists. • Mentor and review code of other members of the team. Required Qualifications: Bachelors in computer science or related field and at least 8 years relevant work experience, or equivalent. • Solid experience in AWS services such as S3, EC2, Lambda, and IAM. • Experience containerizing and deploying code in AWS. • Proficient writing OOP and/or functional programming code in Python (e.g., numpy, pandas, scipy, scikit-learn). • Comfortable with Git version control, as well as BASH or command prompt. • Comfortable discovering and driving new capabilities, solutions, and data best practices from blogs, white papers, and other technical documentation. • Able to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback. Desired (considered a plus) Qualifications: Experience with C#, C++ and .NET. What We Offer: Hybrid role with competitive compensation, great benefits, and continuous professional development. • An inclusive environment where everyone can contribute their best work and develop to their full potential. • Reasonable adjustments to the interview process according to your needs.

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager – CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities: Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries. Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities. Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI. Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms. Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions. Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization. Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies. 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms. Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents. Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals. Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems. Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus. Exceptional communication, thought leadership, and stakeholder management skills. 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.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: The candidate should have a minimum of 18+ 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

About The Role As a developer / senior developer in the data technologies team, you will be responsible for working on building and supporting applications / modules / packages (primarily Python focused but we also use other languages and technologies as appropriate and suitable for the problem at hand) independently as well as mentoring junior members in the team (doing code and design reviews). EducationB. Tech / M. Tech in Computer Science / ECE Required skills: Expert in Python & SQL, Python, Webscraping, Flask, Data Structures, Algorithms, NumPy, and Pandas Able to integrate multiple data sources and databases into one system Familiar with JSON and REST APIs - Strong knowledge of object-oriented and parallel programming techniques - Experience with test-driven development (TDD) Understanding of the threading limitations of Python, and multi-process architecture Familiar with JSON and REST APIs - Strong knowledge of object-oriented and parallel programming techniques programming in Python Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform Able to create database schemas that represent and support business processes Strong unit test and debugging skills Working on Security Master and Investment Banking or Asset Management experience is most Important

Job Title: Data Engineer – Snowflake & Python About the Role: We are seeking a skilled and proactive Data Developer with 3-5 years of hands-on experience in Snowflake , Python , Streamlit , and SQL , along with expertise in consuming REST APIs and working with modern ETL tools like Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling , data warehousing , and data profiling , and will play a key role in designing and implementing robust data solutions that drive business insights and innovation. Key Responsibilities: Design, develop, and maintain data pipelines and workflows using Snowflake and an ETL tool (e.g., Matillion, dbt, Fivetran, or similar). Develop data applications and dashboards using Python and Streamlit. Create and optimize complex SQL queries for data extraction, transformation, and loading. Integrate REST APIs for data access and process automation. Perform data profiling, quality checks, and troubleshooting to ensure data accuracy and integrity. Design and implement scalable and efficient data models aligned with business requirements. Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver actionable solutions. Implement best practices in data governance, security, and compliance. Required Skills and Qualifications: Experience in HR Data and databases is a must. 3–5 years of professional experience in a data engineering or development role. Strong expertise in Snowflake , including performance tuning and warehouse optimization. Proficient in Python , including data manipulation with libraries like Pandas. Experience building web-based data tools using Streamlit . Solid understanding and experience with RESTful APIs and JSON data structures. Strong SQL skills and experience with advanced data transformation logic. Experience with an ETL tool commonly used with Snowflake (e.g., dbt , Matillion , Fivetran , Airflow ). Hands-on experience in data modeling (dimensional and normalized), data warehousing concepts , and data profiling techniques . Familiarity with version control (e.g., Git) and CI/CD processes is a plus. Preferred Qualifications: Experience working in cloud environments (AWS, Azure, or GCP). Knowledge of data governance and cataloging tools. Experience with agile methodologies and working in cross-functional teams. Experience in HR Data and databases. Experience in Azure Data Factory

Location : Trivandrum / Kochi / Bangalore / Chennai Experience : 4 to 6 years Job Description : We are looking for an experienced Python Developer with a strong background in software development, machine learning, and data science to join our team. The ideal candidate will have 4+ years of experience in Python development , a solid understanding of data science , and a strong portfolio of projects. You will collaborate with cross-functional teams to design, build, and maintain applications and systems that leverage machine learning and data science techniques. Key Responsibilities : Design, develop, test, and maintain Python applications and systems. Leverage libraries and frameworks like NumPy , Pandas , Sci-kit Learn , TensorFlow , and PyTorch to build scalable and efficient solutions. Collaborate with data scientists and engineers to implement machine learning models and algorithms. Develop and maintain database systems, ensuring proper data flow and storage using SQL or NoSQL databases. Work with cloud platforms such as AWS , Google Cloud , or Azure to build and deploy applications. Solve complex problems by applying your knowledge of Python , data science , and machine learning . Participate in code reviews and maintain high standards for code quality. Work closely with cross-functional teams, ensuring seamless integration of systems and applications. Provide technical insights and suggestions to improve existing solutions and workflows. Must-Have Skills : 4+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science , Software Engineering , or a related field. Strong expertise in Python software development, including experience with libraries like NumPy , Pandas , Sci-kit Learn , TensorFlow , and PyTorch . Proficiency in database technologies such as SQL and NoSQL . Knowledge of data science and machine learning concepts and tools. Excellent problem-solving ability with solid communication and collaboration skills. A working understanding of cloud platforms such as AWS , Google Cloud , or Azure . Ability to write efficient, maintainable, and testable code. Good-to-Have Skills : Experience with version control systems like Git . Knowledge of Docker , Kubernetes , or other containerization technologies. Experience in developing RESTful APIs and integrating them with Python-based applications. Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD). Experience in big data technologies such as Hadoop , Spark , or Kafka . Familiarity with front-end technologies like JavaScript , HTML , or CSS . Understanding of Agile methodologies and experience working in Agile environments . Exposure to advanced machine learning techniques such as Deep Learning or Natural Language Processing (NLP). Required Skills Python,Backend Development,Aws

Location: Trivandrum, Kerala, India Experience: 4-5 years Key Responsibilities: Develop, test, and maintain scalable Python-based applications. Work with data science tools and libraries to implement ML models. Collaborate with cross-functional teams to design, build, and roll out solutions. Optimize performance and troubleshoot issues across the software stack. Required Skills & Qualifications: Strong expertise in Python with a solid portfolio of projects. Proficiency in libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Good understanding of SQL and NoSQL databases. Strong problem-solving abilities and excellent communication skills. Familiarity with cloud platforms such as AWS, Google Cloud, or Microsoft Azure. Sound knowledge of data science and machine learning concepts. Key Skills: Python, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, SQL, NoSQL, AWS, Google Cloud, Azure Required Skills Python,Flask,Mysql

Role & responsibilities We are seeking an experienced and technically strong Machine Learning Engineer to design, implement, and operationalize ML models across Google Cloud Platform (GCP) and Microsoft Azure. The ideal candidate will have a robust foundation in machine learning algorithms, MLOps practices, and experience deploying models into scalable cloud environments. Responsibilities: Design, develop, and deploy machine learning solutions for use cases in prediction, classification, recommendation, NLP, and time series forecasting. Translate data science prototypes into production-grade, scalable models and pipelines. Implement and manage end-to-end ML pipelines using: Azure ML (Designer, SDK, Pipelines), Data Factory, and Azure Databricks Vertex AI (Pipelines, Workbench), BigQuery ML, and Dataflow Build and maintain robust MLOps workflows for versioning, retraining, monitoring, and CI/CD using tools like MLflow, Azure DevOps, and GCP Cloud Build. Optimize model performance and inference using techniques like hyperparameter tuning, feature selection, model ensembling, and model distillation. Use and maintain model registries, feature stores, and ensure reproducibility and governance. Collaborate with cloud architects, and software engineers to deliver ML-based solutions. Maintain and monitor model performance in production using Azure Monitor, Prometheus, Vertex AI Model Monitoring, etc. Document ML workflows, APIs, and system design for reusability and scalability. Primary Skills required (Must Have Expereince): 5 -7 years of experience in machine learning engineering or applied ML roles. Advanced proficiency in Python, with strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. Solid understanding of core ML concepts: supervised/unsupervised learning, cross-validation, bias-variance tradeoff, evaluation metrics (ROC-AUC, F1, MSE, etc.). Hands-on experience deploying ML models using: Azure ML (Endpoints, SDK), AKS, ACI Vertex AI (Endpoints, Workbench), Cloud Run, GKE Familiarity with cloud-native tools for storage, compute, and orchestration: Azure Blob Storage, ADLS Gen2, Azure Functions GCP Storage, BigQuery, Cloud Functions Experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong understanding of CI/CD for ML, model testing, reproducibility, and rollback strategies. Experience implementing drift detection, model explainability (SHAP, LIME), and responsible AI practices.

JOB DESCRIPTION Title: Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

About the job: Key responsibilities: 1. Guide students or junior developers on various technologies. 2. Design and development of web applications. 3. Design and development of data analytics. Who can apply: Only those candidates can apply who: are from Anantapur, Guntur, Rajamahendravaram, Tirupati, Nellore, Vijayawada, Naidupeta, Tirupathi Naidu Palli, Kurnool only are Computer Science Engineering students Salary: ₹ 2,10,000 - 2,30,000 /year Experience: 0 year(s) Deadline: 2025-06-08 23:59:59 Skills required: Java, MySQL, JavaScript, Python, .NET, SQL, Machine Learning, React, NumPy and Pandas Other Requirements: 1. Good communication skills. 2. The ability to travel to different cities on a need basis. 3. Adaptable to new technologies and a quick learner. About Company: We are primarily focused on data warehousing/analytics, web development, cloud computing, database management/administration, and product development.