2540 Data Science Jobs - Page 49

Role overview As a core member of the Data Science team, the Senior Data Scientist will be responsible for implementing and training machine learning models, developing and maintaining data pipelines to supply training and inference data for models, evaluating performance of production-deployed models, and supporting A/B testing of the Data Science teams models. Potential areas of support and ownership include Recommendations, Search Ranking, and Instant Market Value algorithms. What you'll do Implementing, training, and evaluating machine learning models using Python and AWS SageMaker. Developing and maintaining data pipelines to supply training and inference data for models, using SQL and Snowflake. Collaborating with engineers to deploy models to production Evaluating performance of production-deployed models Designing A/B tests of the Data Science teams models and analyzing their results Communicating solutions to stakeholders through written documentation, demos and presentations, and data visualizations Collaborating with other data scientists, machine learning engineers, and business stakeholders to scope, design, and implement machine learning projects What you'll bring Curiosity about widely varied datasets and their possibilities for unlocking customer value. Self-motivated to perform exploratory analyses and build proof-of-concept solutions. Proven experience turning data into successful products Knowledge of standard Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models. Experience deploying and/or maintaining machine learning services in production Proficiency in Python or similar languages widely used in the data science community Proficiency in SQL Ability to communicate technical details and analytical findings to both technical and non-technical audiences Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role Overview: An AWS SME with a Data Science Background is responsible for leveraging Amazon Web Services (AWS) to design, implement, and manage data-driven solutions. This role involves a combination of cloud computing expertise and data science skills to optimize and innovate business processes. Key Responsibilities: Data Analysis and Modelling: Analyzing large datasets to derive actionable insights and building predictive models using AWS services like SageMaker, Bedrock, Textract etc. Cloud Infrastructure Management: Designing, deploying, and maintaining scalable cloud infrastructure on AWS to support data science workflows. Machine Learning Implementation: Developing and deploying machine learning models using AWS ML services. Security and Compliance: Ensuring data security and compliance with industry standards and best practices. Collaboration: Working closely with cross-functional teams, including data engineers, analysts, DevOps and business stakeholders, to deliver data-driven solutions. Performance Optimization: Monitoring and optimizing the performance of data science applications and cloud infrastructure. Documentation and Reporting: Documenting processes, models, and results, and presenting findings to stakeholders. Skills & Qualifications Technical Skills: Proficiency in AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker). Strong programming skills in Python. Experience with AI/ML project life cycle steps. Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn). Familiarity with data pipeline tools (e.g., AWS Glue, Apache Airflow). Excellent communication and collaboration abilities.

Job Title : Data Science Lead Location State : Karnataka , Maharashtra Location City : Bengaluru , Mumbai Experience Required : 5 to 12 Year(s) CTC Range : 12 to 21 LPA Shift: Rotational Work Mode: Onsite Position Type: Permanent Openings: 10 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: Client is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services. About The Job: You will be a core member of Client Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. Essential Job Functions: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. • Refining and improving data science models based on feedback, new data, and evolving business needs. • Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. • Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. • Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications: Extensive experience in leading Data Science and Advanced Analytics delivery teams • Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP • Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. • Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) • Experience in working with Pricing models is a plus • Experience in atleast one of these business domains: Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain • Extensive experience in client engagement and business development • Ability to work in a global collaborative team environment • Quick Learner and Independently deliver results. Qualifications: Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Software Engineer to join our Unified API platform team. Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 4+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Required Skills: Absolute clarity in OOP fundamentals and Data-Structures Must have hands-on experience in Data Structure like List, Dict, Set, Strings, Lambda, etc Must have hands-on experience in working with Spark, Hadoop Excellent written and verbal communication and presentation skills Roles and responsibilities: Maintain and improve existing projects Collaborate with the technical team to develop new features and troubleshoot issues Lead projects to understand the requirements and distribute work to the technical team Follow the project/task timelines and quality.

Job Title: GenAI Engineer Category: Software Development Required Experience: 3-4 years Location: Pune Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics: Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems. Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities. Collaborate with data engineers to ensure the scalability and efficiency of deployed models. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Hands-on experience in RAG (Retrieval-Augmented Generation) pipelines using Pinecone or similar vector databases to enhance LLM performance. Experience building RESTful APIs and ML endpoints using FastAPI , integrating seamlessly with production systems. Apply LangChain and agentic frameworks to integrate LLMs with tools, memory, and reasoning chains. Proficiency in designing LLM-driven workflows , including prompt engineering , chain-of-thought reasoning , and OpenAI API call optimization to reduce latency and cost. Develop scalable event-driven architectures using AWS EventBridge , RDS , and other AWS services (e.g., S3, Glue, SageMaker). Develop and optimize embedding generation , storage, and retrieval processes using tools like OpenAI Embeddings , LangChain , and Pinecone . Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc. Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Minimum 1+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Scientific Machine Learning, Statistical Modeling, and Data Visualization. Proficiency in cloud platforms , particularly AWS (SageMaker, S3, RDS, EventBridge, Glue, Redshift). Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Bonus: Prior experience in LLM observability , latency tuning, token usage monitoring, and fine-grained control of OpenAI or similar API integrations. Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Company Overview: Aventior is a leading provider of innovative technology solutions for businesses across a wide range of industries. At Aventior, we leverage cutting-edge technologies like AI, ML Ops, DevOps, and many more to help our clients solve complex business problems and drive growth. We also provide a full range of data development and management services, including Cloud Data Architecture, Universal Data Models, Data Transformation & and ETL, Data Lakes, User Management, Analytics and visualization, and automated data capture (for scanned documents and unstructured/semi-structured data sources). Our team of experienced professionals combines deep industry knowledge with expertise in the latest technologies to deliver customized solutions that meet the unique needs of each of our clients. Whether you are looking to streamline your operations, enhance your customer experience, or improve your decision-making process, Aventior has the skills and resources to help you achieve your goals. We bring a well-rounded, cross-industry, and multi-client perspective to our client engagements. Our strategy is grounded in design, implementation, innovation, migration, and support. We have a global delivery model, a multi-country presence, and a team well-equipped with professionals and experts in the field.

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 : NA Minimum 15 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML Architect, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud or on-prem application pipeline with production-ready quality. Collaborate with cross-functional teams to ensure successful implementation of AI/ML solutions.Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Machine Learning Services. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification. Strong understanding of AI/ML algorithms and techniques. Experience with deep learning, neural networks, chatbots, and image processing. Experience with cloud data architecture solutions. Experience with cloud or on-prem application pipeline with production-ready quality. Experience with integrating multiple services such as NLP, voice recognition, and third party APIs. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Additional Information: The candidate should have a minimum of 17 years of experience in Google Cloud Machine Learning Services. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualification Total 15 years of full time education

Practice Overview : Skill/Operating Group Technology Consulting Level Consultant Location Gurgaon/Mumbai/ Bangalore Travel Percentage Expected Travel could be anywhere between 0-100% Why Technology Consulting The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. As technology rapidly evolves, it's more important than ever to have an innovation advisor who can create a new vision or put one into placeto solve the client's toughest business problems. Specialize in management or technology consulting to transform the world's leading organizations by building innovative business solutions as their trusted advisor by: Helping Clients :Rethinking IT and Digital ecosystems and innovating to help clients keep pace with fast-changing, customer-driven environments. Enhancing your Skillset :Building expertise and innovating with leading-edge technologies such as Blockchain, Artificial Intelligence and Cloud. Transforming Businesses :Developing customized, next-generation products and services that help clients shift to new business models designed for today's connectedlandscape of disruptive technologies Principal Duties And Resp o nsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies , POC that can help enhance business performance. They develop specialized expertise strategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, Assessing and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Understand client's business and IT goals, vision and identify opportunities for reinvestment Through your expertise and experience, guide your team-mates to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI solutions Conduct discovery workshops and design sessions to elicit AI opportunities & client pain areas. Experience in designing & developing Enterprise wide AI architecture & strategy Contribute towards practice development initiatives like new offering development, people management etc Qualifications Qualifications: MBA Degree from Tier-1 College (Preferable) Bachelors Degree AI/ML/Cloud AI Certifications preferred Minimum of4-9years large scale consulting experience and managing teams in a consulting environment or at high tech companies Experience: We are looking for Advanced Analytics and AI Consultants to join our growing team having experience with Machine learning and NLP applications . Operating across all stages of the innovation spectrum, with a view to build the futur e . Experience in designing and building end-to-end AI Strategy & solutions using Cloud & Non-Cloud AI ML, NLP algo. Assessment: Works as part of multi-disciplinary teams and responsible for independently driving specific AI workstreams through collaboration with designers, other AI team members, platform & Data engineers, business subject matter experts and technology delivery teams to assess AI potential and develop use cases. Liaises effectively with global community and senior leadership to identify and drive value opportunities around AI, support investments in POCs, pilots and chargeable projects. Design: The Consultantsrole on these projects centers around the application of analytics, data science and advanced cognitive methods to derive insights from data and develop POCs and appropriate high-level solution designs.Strong expertise in designing AutoML, MLOps AI solutions using any of the Cloud services (AWS, GCP, Azure). Architecture: The nature of these projects change as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients. Focus in this area is on the impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Expertise in designing Enterprise AI strategy, Responsible AI frameworks is preferred. Strong experience handling multiple end-to-end AI Lifecycle projects from Data preparation, Modeling, Build, Train & Deploy. Product/ Framework/ Tools evaluation: Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations.Evaluate existing products and frameworks available and develop options for proposed solutions. Have an understanding of the framework/ tools to engage the client in meaningful discussions and steer towards the right recommendation. Modeling : Strong SME knowledge in Data Preparation, Feature engineering, Feature selection, Training datasets, Algorithmic selection, Optimizing & Production deployment. Work as a technical SME to teams and clienton advising right AI solutions. The Consultant should have practical industry expertise. The areas of Financial Services, Retail, Telecommunications, Life Sciences and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications. Key Competencies and Skills: Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Team oriented and collaborative working style, both with clients and those within the organization. Capacity to develop high impact thought leadership that articulates a forward thinking view of the market. Ability to develop and maintain strong internal and client relationships Proven track record in working creatively and analytically in a problem-solving environment Proven success in contributing to a team-oriented environment with effective consulting skills Proven track record to quickly understand the key value drivers of a business, how they impact the scope and approach of the engagement Flexibility to accommodate client travel requirements Technical Skills Good exposure to AI/NLP/ML algorithms and building models/chatbots/solutions. Expert in developing AI solutions using Cloud AI services (AWS, GCP, Azure). Strong understanding of entire ML project lifecycle from business issue identification, data audit to model maintenance in production Experience in conducting client workshops and AI use-case development & prioritization Strong knowledge on AI frameworks & algorithms Strong & relevant experience in end-to-end AI lifecycle from Data capture, Data preparation, Model planning, Model selection, Model build, train & test & Model Deployment Expert in designing AI pipelines, Feature engg, Feature selection, Labeling, Training & Optimizing models Good understanding on Scaling/Industrializing AI, Enterprise AI, Lean AI concepts, frameworks & tools Familiarity with some distributed storage frameworks and architectures Machine Learning Language: Python/Scala/R/SAS knowledge Virtual Agents NLU, NLG, Text to speech ML Libraries SciKit learn, Stanford, NLTK, Numpy, PyTorchetc Familiarity with cloud AI and Data offerings Database: HDFS, NoSQL, In-memory (Spark), Neo4j Experience with any of the platforms like IBM Watson, Microsoft ML, Google Cloud AI or AWS ML

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 NA Minimum 12 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs 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 research and development initiatives in AI and ML technologies.- Implement and optimize machine learning models.- Conduct data analysis and interpretation for business insights. 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 Bengaluru office.- A 15 years full-time education is required. 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 : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 year of education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are aligned with the needs of the organization and contribute to its overall success. Your typical day will involve collaborating with the team, making key decisions, and providing solutions to problems that apply across multiple teams. You will also engage with multiple teams and contribute to important decisions, making this role crucial for the success of the organization. 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 Ensure the applications are designed, built, and configured to meet business process and application requirements Collaborate with the team to ensure the applications are aligned with the needs of the organization Make key decisions regarding the design and configuration of applications Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) 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 SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 year of education is requiredQualifications 15 year of education

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. 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 3 years of experience in Data Analytics. This position is based at our Kolkata office. A 15 years full time education is required. Qualifications 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 : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. 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 Provide solutions to problems for their immediate team and across multiple teams Design and develop applications Collaborate with cross-functional teams Contribute to key decisions Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform 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 5 years of experience in Databricks Unified Data Analytics Platform This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :SAP Sales and Distribution (SD) Good to have skills :NA Minimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) 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 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

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 :No Technology Specialization Minimum 10+ year(s) of experience is required

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FSCM Credit Management Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP FSCM Credit Management Experience with using Multi-Bank Connectivity (MBC) product for customer payments 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 5 years of experience in SAP FSCM Credit Management This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 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 : Tableau Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer in the Data Engineering team, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing efficient and scalable solutions to process and analyze data. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with cross-functional teams to gather and understand business requirements. Design and develop applications using Tableau to visualize and analyze data. Build and maintain data pipelines to ensure efficient data processing and storage. Perform data quality checks and implement data cleaning and transformation techniques. Optimize application performance and troubleshoot any issues that arise. Stay up-to-date with industry trends and best practices in application development and data engineering. Provide technical guidance and mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Tableau. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience 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 3 years of experience in Tableau. This position is based at our Hyderabad office. A 15 years full time education is required. Qualifications 15 years full time education

Job Title :Industry & Function AI Data Engineer + S&C GN Management Level :09 - Consultant Location :Primary - Bengaluru, Secondary - Gurugram Must-Have Skills :Data Engineering expertise, Cloud platforms:AWS, Azure, GCP, Proficiency in Python, SQL, PySpark and ETL frameworks Good-to-Have Skills :LLM Architecture, Containerization tools:Docker, Kubernetes, Real-time data processing tools:Kafka, Flink, Certifications like AWS Certified Data Analytics Specialty, Google Professional Data Engineer,Snowflake,DBT,etc. Job Summary : As a Data Engineer, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, and enterprise decision-making. Your work will ensure high-quality, reliable data is accessible for actionable insights. This involves leveraging technical expertise, collaborating with stakeholders, and staying updated with the latest tools and technologies to deliver scalable and efficient data solutions. Roles & Responsibilities: Build and Maintain Data Infrastructure:Design, implement, and optimize scalable data pipelines and systems for seamless ingestion, transformation, and storage of data. Collaborate with Stakeholders:Work closely with business teams, data analysts, and data scientists to understand data requirements and deliver actionable solutions. Leverage Tools and Technologies:Utilize Python, SQL, PySpark, and ETL frameworks to manage large datasets efficiently. Cloud Integration:Develop secure, scalable, and cost-efficient solutions using cloud platforms such as Azure, AWS, and GCP. Ensure Data Quality:Focus on data reliability, consistency, and quality using automation and monitoring techniques. Document and Share Best Practices:Create detailed documentation, share best practices, and mentor team members to promote a strong data culture. Continuous Learning:Stay updated with the latest tools and technologies in data engineering through professional development opportunities. Professional & Technical Skills: Strong proficiency in programming languages such as Python, SQL, and PySpark Experience with cloud platforms (AWS, Azure, GCP) and their data services Familiarity with ETL frameworks and data pipeline design Strong knowledge of traditional statistical methods, basic machine learning techniques. Knowledge of containerization tools (Docker, Kubernetes) Knowing LLM, RAG & Agentic AI architecture Certification in Data Science or related fields (e.g., AWS Certified Data Analytics Specialty, Google Professional Data Engineer) Additional Information: The ideal candidate has a robust educational background in data engineering or a related field and a proven track record of building scalable, high-quality data solutions in the Consumer Goods sector. This position offers opportunities to design and implement cutting-edge data systems that drive business transformation, collaborate with global teams to solve complex data challenges and deliver measurable business outcomes and enhance your expertise by working on innovative projects utilizing the latest technologies in cloud, data engineering, and AI. About Our Company | Qualifications Experience :Minimum 3-7 years in data engineering or related fields, with a focus on the Consumer Goods Industry Educational Qualification :Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field

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 NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for? Talent and HR Analytics HR Reporting Agility for quick learning Commitment to quality Prioritization of workload Written and verbal communication Data Understanding Machine Learning Data Science Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : API Testing Good to have skills : Python (Programming Language), Java Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. 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. Provide solutions to problems for their immediate team and across multiple teams. Lead team planning and ecosystem integration. Develop end-to-end testing strategies using quality processes. Define and implement key metrics to manage and assess the testing process. Professional & Technical Skills: Must To Have Skills: Proficiency in API Testing. 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. Must to have additional skills - Python, Java. Additional Information: The candidate should have a minimum of 5 years of experience in API Testing. This position is based at our Gurugram office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Function Implementation Lead Project Role Description : Plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. Ensure alignment with business requirements including process analysis, design/re-design and/or organization structure definition. Must have skills : SAP CO Product Cost Controlling Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As a Business Function Implementation Lead, you will plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. You will ensure alignment with business requirements including process analysis, design/re-design, and/or organization structure definition. Your typical day will involve strategizing and executing plans to optimize the performance of the business function, analyzing processes, and defining organizational structures to enhance efficiency and effectiveness. 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 Provide solutions to problems for their immediate team and across multiple teams Lead the implementation of all activities for a specific business function Analyze processes and identify areas for improvement Define/redefine organization structure to enhance efficiency and effectiveness Professional & Technical Skills: Must To Have Skills:Proficiency in SAP CO Product Cost Controlling 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 5 years of experience in SAP CO Product Cost Controlling This position is based at our Bengaluru office A BE degree is required Qualifications BE

Project Role : Technology Educator Project Role Description : Instrumental in keeping technology talent market relevant, by upskilling and cross skilling them. Primarily responsible for delivering foundational training in technology, delivery, professional development and industry content. Contribute to course content development and creation of questions for certification and assessments. Must have skills : Machine Learning Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Educator, you will play a crucial role in keeping the technology talent market relevant by upskilling and cross-skilling individuals. Your responsibilities will include delivering foundational training in technology, professional development, and industry content, as well as contributing to course content development and assessment creation. 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. Provide solutions to problems for their immediate team and across multiple teams. Develop and implement innovative training programs. Evaluate training effectiveness and make necessary adjustments. Stay updated on industry trends and incorporate relevant content into training programs. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience implementing various machine learning algorithms. Solid grasp of data munging techniques for data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Analytics Cloud Planning Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. 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. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for the project. Manage the team and ensure successful project delivery. Collaborate with stakeholders to gather requirements and provide technical guidance. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Planning. 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.-The candidate should have a minimum of 7.5 years of experience in SAP Analytics Cloud Planning. Additional Information: A minimum of 15 years of education is required. Qualifications 15 years full time education

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Wireless Technologies Operations Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the system or application. You will be dedicated to quality, using exceptional communication skills to keep our world-class systems running. With your deep product knowledge, you will accurately define client issues and design resolutions. Your typical day will involve providing ongoing support to clients, troubleshooting technical issues, and ensuring smooth system operations. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Provide ongoing support to clients, addressing their technical issues and concerns. Troubleshoot system or application problems and provide timely resolutions. Collaborate with cross-functional teams to ensure smooth system operations. Stay updated with the latest product knowledge and industry trends. Identify areas for process improvement and suggest innovative solutions. Professional & Technical Skills: Must To Have Skills:Proficiency in Wireless Technologies Operations. 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 3 years of experience in Wireless Technologies Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education