At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including experience, skills and additional qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical skills requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting . Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements:  Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Data Collection: Gathering data from various sources, including databases, surveys, and other relevant platforms. Data Cleaning and Preparation: Ensuring data accuracy, consistency, and completeness by identifying and addressing errors, missing values, and inconsistencies. Data Analysis: Applying statistical methods, data mining techniques, and other analytical tools to identify trends, patterns, and relationships within data sets. Data Visualization: Creating charts, graphs, and other visual representations to communicate findings and insights to stakeholders. Reporting and Presentation: Preparing reports and presentations to communicate findings and recommendations to managers and other stakeholders. Problem Solving: Using data analysis to identify and solve business problems and improve decision-making. Data Security and Compliance: Ensuring data is handled securely and in compliance with relevant regulations. Database Management: Managing and maintaining databases, ensuring data integrity and accessibility. Process Improvement: Identifying and implementing improvements to data collection, analysis, and reporting processes. Tools and Techniques: Data analysts utilize various tools and techniques, including: Statistical software: SAS, SPSS, R. Data visualization tools: Power BI, Tableau. Database management systems: SQL, MySQL, PostgreSQL. Data mining techniques: Clustering, regression, classification. Data warehousing and ETL tools: Informatica, Talend, Pentaho. Programming languages: Python, Java. In essence, data analysts are skilled professionals who can turn data into valuable insights that help organizations make better decisions and achieve their goals. Job Types: Full-time, Permanent, Fresher Pay: ₹18,000.00 - ₹38,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

Note: Looking for Immediate Joiner. Job Title: Machine Learning Engineer (Gen AI and AI ML) Job Summary: Primary Skills • Master's degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.  Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Transforming data science prototypes and applying appropriate algorithms and tools.  Develop custom ML and non-ML models and algorithms to apply to data sets.  Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.  Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains Note: Looking for Immediate Joiner only. Show more Show less

About Us: We’re a future-forward digital team focused on scaling content, design, and search visibility through smart systems and AI-first workflows. If you believe SEO is no longer just about keywords—but about user intent, search algorithms, and intelligent tools—you’ll thrive here. Your Role: As a Fresher SEO Executive , you’ll help drive organic growth by executing intelligent SEO strategies, optimizing content, and using AI tools to enhance productivity and performance. This role is ideal for someone with a solid foundation in SEO principles and a strong portfolio of personal or academic projects. Key Responsibilities: Conduct keyword research, clustering, and mapping using tools like Ahrefs, SEMrush, or SurferSEO Optimize on-page elements such as titles, headers, metadata, and internal linking Assist in building topical authority using AI-driven brief generation tools (e.g., Frase, ChatGPT, Jasper ) Use AI tools to: Generate first drafts of content Create meta descriptions, FAQs, and featured snippet targets Summarize competitor strategies from SERPs Analyze performance through Google Search Console and GA4 , and suggest AI-backed experiments Support link-building outreach and prospecting Maintain organized SEO documentation using tools like Notion or Confluence What We’re Looking For: Foundational understanding of search engines, ranking factors, and current SEO trends Hands-on experience or coursework with SEO tools like Ubersuggest, Moz, Screaming Frog, etc. Familiarity with AI platforms such as ChatGPT, Jasper, Claude, Frase, or SurferSEO Strong analytical and content evaluation skills, especially in reviewing AI-generated content Curiosity about LLMs, prompt engineering , and automation in SEO Proactive, self-motivated, and detail-oriented mindset Requirements: Recent graduate in Marketing, IT, Communications, or related field. Strong portfolio showcasing SEO projects (e.g., blogs, websites, freelance work). Bonus Points For: Knowledge of schema markup and SEO automation tools Experience with content velocity planning , topical mapping, or keyword difficulty analysis Awareness of how Google’s Search Generative Experience (SGE) impacts modern SEO What You’ll Gain: Real-world experience in technical and content SEO Exposure to AI-driven SEO strategies and workflows Mentorship from experts working at the intersection of search, content, and automation A growing portfolio of published work with performance data Deep understanding of how machine intelligence is shaping the future of marketing Job Types: Full-time, Fresher Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Cell phone reimbursement Leave encashment Paid sick time Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Yearly bonus Work Location: In person

Job Title: SQL Server Database Administrator Location: Kolkata Qualification: B.E / B.Tech (Computer Science/IT) / MCA Experience: 5+ Years Job Type: Full-Time Essential Requirements: 1. Experience on writing SQL queries , Stored Procedures, Performance Tuning, Query Optimization, using Performance Monitor, SQL Profiler and other related monitoring and troubleshooting tools. 2. Experience on backups, restores, recovery models, shrink operations, DBCC commands, Clustering, Database mirroring, Replication. 3. Experience on creation of database, users, roles, granting roles to the users etc. 4. Experience in connection management, session management, managing issues related to locks. 5. Experience on index management, integrity checks, table partitioning, table space etc. 6. Experience on SQL Server related tools for Performance Optimization, Data Migration etc. 7. Experience on SQL Development with the hands-on ability to write and troubleshoot SQL Code and design (stored procedures, functions, tables, views, triggers, indexes, constraints). 8. Experience in managing different database servers for Production, UAT, Staging, Development environment. 9. Experience in managing database with large volume of highly secured and sensitive data. 10. Familiarity with the supporting Tools like Jira/Service Now is desired. Essential Qualifications: 1. B.E / B.Tech (Computer Science/IT) / MCA with 5+ years of relevant experience in database development and support in MS SQL Server environments. 2. Experience in Database Administration in SQL Server (2019, 2016, 2014, 2012). 3. Knowledge on Postgres / Oracle will be treated as additional qualification. Ready for your next career move? Share your updated resume to: tae8@mazenetsolution.com Let's explore what’s next for you! Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹1,000,000.00 per year Application Question(s): What is you Notice Period? Experience: total work: 5 years (Required) Database administration: 5 years (Required) SQL: 5 years (Required) Microsoft SQL Server: 5 years (Required) Work Location: In person

Job description Location: Mumbai/ Bengaluru Experience: 3-5 years Industry: Banking / Financial Services (Mandatory) Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? Build and validate credit risk models , including application scorecards and behavior scorecards (B-score), aligned with business and regulatory requirements. Use advanced machine learning algorithms such as Logistic Regression, XGBoost , and Clustering to develop interpretable and high-performance models. Translate business problems into data-driven solutions using robust statistical and analytical methods. Collaborate with cross-functional teams including credit policy, risk strategy, and data engineering to ensure effective model implementation and monitoring. Maintain clear, audit-ready documentation for all models and comply with internal model governance standards. Track and monitor model performance, proactively suggesting recalibrations or enhancements as needed. What do you need to excel at? Writing efficient and scalable code in Python, SQL, and PySpark for data processing, feature engineering, and model training. Working with large-scale structured and unstructured data in a fast-paced, banking or fintech environment. Deploying and managing models using MLFlow, with a strong understanding of version control and model lifecycle management. Understanding retail banking products , especially credit card portfolios , customer behavior, and risk segmentation. Communicating complex technical outcomes clearly to non-technical stakeholders and senior management. Applying a structured problem-solving approach and delivering insights that drive business value. What are we looking for? Bachelors or masters degree in Statistics, Mathematics, Computer Science , or a related quantitative field. 3-5 years of experience in credit risk modelling , preferably in retail banking or credit cards. Hands-on expertise in Python, SQL, PySpark , and experience with MLFlow or equivalent MLOps tools. Deep understanding of machine learning techniques including Logistic Regression, XGBoost, and Clustering. Proven experience in developing Application Scorecards and behavior Scorecards using real-world banking data. Strong documentation and compliance orientation, with an ability to work within regulatory frameworks. Curiosity, accountability, and a passion for solving real-world problems using data. Cloud Knowledge, JIRA, GitHub(good to have) Show more Show less

Job Description AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager/Senior Manager - Analytics 1. Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets 2. KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B. Tech /BE/ Masters in CS/IS/AI/ML Previous work experience required Minimum 3 years of relevant experience Technical skills required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Manufacturing Domain Product building experience Other Skills required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

Note :If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. This role is located in Hyderabad. Candidates willing to relocate are welcome to apply. Location: Hyderabad Work Mode: Work From Office Salary: ₹13,00,000 – ₹22,00,000 INR Joining Time / Notice Period: Immediate – 30 Days About The Client – A top-tier tech consulting firm specializing in data engineering, AI, and automation. With deep expertise in digital transformation and cloud solutions, the company helps businesses make smarter, data-driven decisions and optimize operations. Job Purpose Seeking an experienced and detail-oriented Data Engineer to join a growing data engineering team. This role involves building and optimizing scalable ELT pipelines using Snowflake and dbt, working on cloud data architecture, and collaborating with analysts, architects, and other engineers to deliver validated, business-ready datasets. Key Responsibilities Build and maintain ELT pipelines using dbt on Snowflake Migrate and optimize SAP Data Services (SAP DS) jobs to cloud-native platforms Design and manage layered data architectures (staging, intermediate, mart) Apply performance tuning techniques like clustering, partitioning, and query optimization Use orchestration tools such as dbt Cloud, Airflow, or Control-M Develop modular SQL, write tests, and follow Git-based CI/CD workflows Collaborate with data analysts/scientists to gather requirements and document solutions Contribute to knowledge sharing through reusable dbt components and Agile ceremonies Must-Have Skills 3–10 years of Data Engineering experience Strong hands-on with Snowflake, dbt, SQL, and Azure Data Lake Basic proficiency in Python for scripting and automation Experience with SAP DS for legacy system integration Understanding of data modeling (preferably dimensional/Kimball) Familiarity with RBAC, GDPR, and data privacy best practices Git-based version control and CI/CD exposure Show more Show less

Note :If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. This role is located in Hyderabad. Candidates willing to relocate are welcome to apply Location: Hyderabad Work Mode: Work From Office Salary: ₹13,00,000 – ₹22,00,000 INR Joining Time / Notice Period: Immediate – 30 Days About The Client – A top-tier tech consulting firm specializing in data engineering, AI, and automation. With deep expertise in digital transformation and cloud solutions, the company helps businesses make smarter, data-driven decisions and optimize operations. Job Purpose Seeking an experienced and detail-oriented Data Engineer to join a growing data engineering team. This role involves building and optimizing scalable ELT pipelines using Snowflake and dbt, working on cloud data architecture, and collaborating with analysts, architects, and other engineers to deliver validated, business-ready datasets. Key Responsibilities Build and maintain ELT pipelines using dbt on Snowflake Migrate and optimize SAP Data Services (SAP DS) jobs to cloud-native platforms Design and manage layered data architectures (staging, intermediate, mart) Apply performance tuning techniques like clustering, partitioning, and query optimization Use orchestration tools such as dbt Cloud, Airflow, or Control-M Develop modular SQL, write tests, and follow Git-based CI/CD workflows Collaborate with data analysts/scientists to gather requirements and document solutions Contribute to knowledge sharing through reusable dbt components and Agile ceremonies Must-Have Skills 3–10 years of Data Engineering experience Strong hands-on with Snowflake, dbt, SQL, and Azure Data Lake Basic proficiency in Python for scripting and automation Experience with SAP DS for legacy system integration Understanding of data modeling (preferably dimensional/Kimball) Familiarity with RBAC, GDPR, and data privacy best practices Git-based version control and CI/CD exposure Show more Show less

Note :If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. This role is located in Hyderabad. Candidates willing to relocate are welcome to apply. Location: Hyderabad Work Mode: Work From Office Salary: ₹13,00,000 – ₹22,00,000 INR Joining Time / Notice Period: Immediate – 30 Days About The Client – A top-tier tech consulting firm specializing in data engineering, AI, and automation. With deep expertise in digital transformation and cloud solutions, the company helps businesses make smarter, data-driven decisions and optimize operations. Job Purpose Seeking an experienced and detail-oriented Data Engineer to join a growing data engineering team. This role involves building and optimizing scalable ELT pipelines using Snowflake and dbt, working on cloud data architecture, and collaborating with analysts, architects, and other engineers to deliver validated, business-ready datasets. Key Responsibilities Build and maintain ELT pipelines using dbt on Snowflake Migrate and optimize SAP Data Services (SAP DS) jobs to cloud-native platforms Design and manage layered data architectures (staging, intermediate, mart) Apply performance tuning techniques like clustering, partitioning, and query optimization Use orchestration tools such as dbt Cloud, Airflow, or Control-M Develop modular SQL, write tests, and follow Git-based CI/CD workflows Collaborate with data analysts/scientists to gather requirements and document solutions Contribute to knowledge sharing through reusable dbt components and Agile ceremonies Must-Have Skills 3–10 years of Data Engineering experience Strong hands-on with Snowflake, dbt, SQL, and Azure Data Lake Basic proficiency in Python for scripting and automation Experience with SAP DS for legacy system integration Understanding of data modeling (preferably dimensional/Kimball) Familiarity with RBAC, GDPR, and data privacy best practices Git-based version control and CI/CD exposure Show more Show less

Note :If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. This role is located in Hyderabad. Candidates willing to relocate are welcome to apply. Location: Hyderabad Work Mode: Work From Office Salary: ₹13,00,000 – ₹22,00,000 INR Joining Time / Notice Period: Immediate – 30 Days About The Client – A top-tier tech consulting firm specializing in data engineering, AI, and automation. With deep expertise in digital transformation and cloud solutions, the company helps businesses make smarter, data-driven decisions and optimize operations. Job Purpose Seeking an experienced and detail-oriented Data Engineer to join a growing data engineering team. This role involves building and optimizing scalable ELT pipelines using Snowflake and dbt, working on cloud data architecture, and collaborating with analysts, architects, and other engineers to deliver validated, business-ready datasets. Key Responsibilities Build and maintain ELT pipelines using dbt on Snowflake Migrate and optimize SAP Data Services (SAP DS) jobs to cloud-native platforms Design and manage layered data architectures (staging, intermediate, mart) Apply performance tuning techniques like clustering, partitioning, and query optimization Use orchestration tools such as dbt Cloud, Airflow, or Control-M Develop modular SQL, write tests, and follow Git-based CI/CD workflows Collaborate with data analysts/scientists to gather requirements and document solutions Contribute to knowledge sharing through reusable dbt components and Agile ceremonies Must-Have Skills 3–10 years of Data Engineering experience Strong hands-on with Snowflake, dbt, SQL, and Azure Data Lake Basic proficiency in Python for scripting and automation Experience with SAP DS for legacy system integration Understanding of data modeling (preferably dimensional/Kimball) Familiarity with RBAC, GDPR, and data privacy best practices Git-based version control and CI/CD exposure Show more Show less

Note :If shortlisted, we’ll contact you via WhatsApp and email. Please monitor both and respond promptly. This role is located in Hyderabad. Candidates willing to relocate are welcome to apply. Location: Hyderabad Work Mode: Work From Office Salary: ₹13,00,000 – ₹22,00,000 INR Joining Time / Notice Period: Immediate – 30 Days About The Client – A top-tier tech consulting firm specializing in data engineering, AI, and automation. With deep expertise in digital transformation and cloud solutions, the company helps businesses make smarter, data-driven decisions and optimize operations. Job Purpose Seeking an experienced and detail-oriented Data Engineer to join a growing data engineering team. This role involves building and optimizing scalable ELT pipelines using Snowflake and dbt, working on cloud data architecture, and collaborating with analysts, architects, and other engineers to deliver validated, business-ready datasets. Key Responsibilities Build and maintain ELT pipelines using dbt on Snowflake Migrate and optimize SAP Data Services (SAP DS) jobs to cloud-native platforms Design and manage layered data architectures (staging, intermediate, mart) Apply performance tuning techniques like clustering, partitioning, and query optimization Use orchestration tools such as dbt Cloud, Airflow, or Control-M Develop modular SQL, write tests, and follow Git-based CI/CD workflows Collaborate with data analysts/scientists to gather requirements and document solutions Contribute to knowledge sharing through reusable dbt components and Agile ceremonies Must-Have Skills 3–10 years of Data Engineering experience Strong hands-on with Snowflake, dbt, SQL, and Azure Data Lake Basic proficiency in Python for scripting and automation Experience with SAP DS for legacy system integration Understanding of data modeling (preferably dimensional/Kimball) Familiarity with RBAC, GDPR, and data privacy best practices Git-based version control and CI/CD exposure Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Summary -Explore, develop, implement and evaluate Digital innovation solutions that address customer needs. Co-create with key stakeholders to build partnerships and collaborations -Leads the delivery of multiple projects across a variety of creative and marketing channels, including print and digital media. Develop and coordinate project plans across the design, development and production stages of a project to support the successful delivery within set KPI's. -Works in collaboration with brand teams, technical teams and all functions to maximize value. -Provides consultancy, advice and assistance on strategy for commercialization of products, and influence marketing/Marketing Sales Operation team on decision making on Sales Force resource allocation in most optimal ways, through delivery of proven analytics based projects. -Provide analytics support to Novartis internal customers About The Role Job Description Position Title : Manager Dada Science Location – Hyd-India Hybrid About The Role Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various projects. Support and facilitate data enabled decision making internal customers using data analysis and data science techniques/methods on internal and external(3rd party) data to solve business problems Team NBS CONEXTS-I&CS business support in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business related tasks/activities, building process documentation and knowledge repositories Your responsibilities include but are not limited to Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Prioritisation and Optimization Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer happiness. Deliver sophisticated analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (value) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions Support exploratory research to identify new areas of application of advanced analytics/data science in providing improved decision-making support. Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services. Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function. Support team leaders in recruitment and on-boarding of new associates within the organization. Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function. Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements. What You’ll Bring To The Role Deriving impactful strategies by defining clear category objectives, working with analytical data, business partners and market expertise. Aligning strategies to measurable target and clearly conveying them to the organization. Should have strong quantitative and systems background. Strong analytical thinking with problem solving approach and good ability to understand new data sources in short timeframe and embed them into standard analyses. Good understanding of pharmaceutical domain and data would be ideal. Strong partner leadership skills and ability to work with multiple partners. Should have worked in an international/Global company with exposure to working in cross-cultural environment. Strong and proactive business results-focus, and proven track record to provide insights that increase efficiency. Hands on to Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting o Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization Hands on to Project Management, Solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access), Learning agility, Pharmaceutical industry domain/datasets knowledge – desirable Desirable Requirements University/Advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, is preferable. Min 6+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry is preferable. Statistical Modeling/Machine Learning techniques like Regression (esp, GLM, non-linear, etc.). experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus. Visualization tools – Qlikview, Qliksense, Tableau. Why Novartis Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, Join the Novartis Network here: https://talentnetwork.novartis.com/network. Commitment To Diversity & Inclusion Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

About the Role: We are seeking a forward-thinking SEO Strategist who brings the strategic acumen of a consultant, the technical clarity of an SEO expert, and the customer empathy of a product thinker. The role’s scope is dependent on the preferred candidate's capabilities and career aspirations. The role may either lead the SEO team or act as a thought leader and strategic advisor, deeply involved in mentoring, guiding, and empowering our internal SEO team. If you enjoy building long-term organic strategies while enabling teams to execute with confidence and clarity—this role is for you. Your work won’t just be about ranking pages, but about building an intent-first SEO engine that helps students navigate life-changing decisions—from course discovery and visa guidance to scholarships and job pathways. Key Responsibilities 1. Vision & Strategy Development Design a future-proof SEO roadmap in line with evolving trends like AI Search, SGE, LLM integration, and zero-click behaviors. Use Jobs-To-Be-Done frameworks to guide strategy—aligning keyword themes to real-world student intent and emotional triggers across the journey. Help the organization move from keyword-based to intent-based content planning—empowering both scale and personalization. 2. Strategic Support to SEO Team (Leadership or Advisory) Depending on the candidate's experience and aspirations, this role may either lead the internal SEO team or act as a strategic advisor and mentor. Lead weekly consultative sessions to unblock tactical challenges, recommend new directions, and foster SEO-first thinking across functions. Guide the team on building playbooks for content clusters, technical health, interlinking, and authority-building. Empower team members to own their SEO verticals (destinations, products, formats) with strategic frameworks you provide. 3. Cross-Functional Influence Work closely with content, design, tech, data, and country marketing teams to ensure search-first collaboration. Partner with analytics and product teams to build visibility into SEO funnel performance, especially top and mid-funnel intent drop-offs. Ensure every effort is aligned to a student-first outcome—whether it’s discoverability, helpfulness, or decision support. Ideal Candidate Profile ✅ Must-Haves ● 8+ years in SEO with at least 2 years in a consultative or strategic SEO role ● Demonstrated experience mentoring or coaching SEO teams (or potential to lead) ● Strong grasp of user psychology, keyword intent, and JTBD principles ● Advanced skills across technical SEO, content architecture, E-E-A-T, schema, and SEO analytics ● Familiar with AI’s impact on search—from content generation to prompt-based workflows and AI-driven SERPs ✅ Preferred ● Experience working on both agency and client-side SEO teams, providing a comprehensive understanding of diverse client needs and internal ownership. Bonus Points ● Experience in international education, higher ed, or student products ● Built/led topical authority frameworks, hub & spoke models, or knowledge graphs ● Implemented AI/ML-enabled SEO experimentation or content clustering ● Familiar with SGE testing, Perplexity AI, Bing Copilot, or Gemini search models ● Ability to communicate SEO strategies in business-first language for senior stakeholders You’ll Thrive in This Role If You Are: ● A visionary who doesn’t wait for trends to go mainstream ● Someone who thinks like a product owner of organic search ● Comfortable in a consultative setup—guiding without owning execution (or capable of leading a team) ● A team-first leader who believes in enabling, not micromanaging (or a strong individual contributor with leadership potential) ● Passionate about solving real student problems—not just search problems Success Metrics ● Clear SEO roadmap aligned to changing search trends and business priorities ● Measurable growth in non-branded organic visibility and conversion ● Strategic uplift in content depth, search experience, and topical authority ● Increased confidence and independence in the internal SEO execution team (or strong strategic influence) ● Preparedness for future models of search (AI, multimodal, conversational) Why This Role Matters This is not a traditional SEO role. It's a strategic anchor for the future of search within our student engagement ecosystem. You’ll help shape a search function that’s built for humans first, algorithms second—while creating long-term value for millions of students across 12+ countries. This role provides flexibility for the right candidate to either lead or advise based on their strengths and career goals. Show more Show less

About the Role: The candidate is expected to bring great experience with respect to transactional databases like MySQL and a good exposure to NoSQL databases like MongoDB , Cassandra ETC . He will be working as an IC to provide long term solutions to tricky problems considering both business and tech demands.He would be working as a group as well as individual to move projects end to end with a long term vision In-depth MySQL knowledge and exposure to the new NOSQL technologies is a must. Duties and Responsibilities: Operate and enhance our large, highly-available database infrastructure, utilising cloud technologies . Able to lead technical architecture discussions and help drive technical decisions within your team. Be a strong contributor to the development of platform services including architecture, provisioning, configuration, deployment, and support React to production deficiencies by continuously implementing automation, self-healing, and real-time monitoring to production systems Demonstrated operations experience with Linux platform (i.e. Ubuntu, RHEL, OEL)including administration, management, and troubleshooting Familiarity with security practices in web application delivery and General knowledge of network topology Able to lead technical architecture discussions and help drive technical decision within your team. Partner with the distributed team in prototyping new database platform services Participate in our 24x7 on-call rotation and collaborate with our operations team to triage and resolve production issues. Requirements: Youve been working as a DBA/DBE with a DevOps mindset andskill to develop the automation, with 10+ years industry experience Extensive experience with database technologies MySQL. Experience in NoSQL datastores like Cassandra/MongoDB will be an added advantage. You possess experience with at least of the major cloud providers like Amazon Web Services,Microsoft Azure, Google Cloud. Proven expertise in database administration, to include a solid understanding ofrelated programming languages, clustering, back-up/restore technologies, replication, HA and security. Well versed in understanding MySQL internal memory and disk structures . Ability to solve complex problems at the Database and system level to provide an end toend solution . Able to handle critical escalations from a technical point of view having clear understanding of linux systems , clouds and databases. Experience in administration and maintenance in distributed environments Prior experience in understanding and developing automation using (Python /Perl /shell) . Very strong communication skills: explaining complex technical concepts to designers, support, and other engineers are natural for you. You enjoy helping onboard new team members, mentoring, and teaching others. Well versed with complex schema designs and solutioning for huge transactional databases and NOSQL databases. .

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 : React.js, Cloud Network Operations Minimum 3 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. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. 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 scalable applications using Google BigQuery. - Collaborate with cross-functional teams to ensure application functionality. - Conduct code reviews and provide technical guidance to junior developers. - Stay updated on industry trends and best practices in application development. - Troubleshoot and resolve application issues in a timely manner. Professional & Technical Skills: (Project specific) - BQ, BQ Geospatial, Python, Dataflow, Composer , - Secondary skill -Geospatial Domain Knowledge" - Must To Have Skills: Proficiency in Google BigQuery. - 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 Google BigQuery. - This position is based at our Bengaluru office. - A 15 years full-time education is required. Show more Show less

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 : Salesforce Einstein AI Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including 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. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the implementation of AI/ML models. - Conduct research on emerging AI technologies. - Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce Einstein AI. - 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 Salesforce Einstein AI. - This position is based at our Bengaluru office. - A 15 years full-time education is required. Show more Show less

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. 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 a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. You will shape and manage the product roadmap and product backlog, ensuring the product team consistently delivers on the clients' needs and wants. You will validate and test ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. 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. - Lead the product vision and strategy. - Collaborate with stakeholders to define product requirements. - Prioritize and manage the product backlog. - Facilitate communication within the product team and with external stakeholders. - Analyze market trends and competition to inform product decisions. 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 Bengaluru office. - A 15 years full time education is required. Show more Show less

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 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. 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 applications and systems using AI tools and Cloud AI services. - Implement deep learning and neural networks in solutions. - Create chatbots and work on image processing tasks. - Collaborate with team members to provide innovative solutions. - Stay updated with the latest AI/ML trends and technologies. 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 like linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information: - The candidate should have a minimum of 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full-time education is required. Show more Show less

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com What you’ll do This is an opportunity to be a part of BCN Data business Data science capability area. This position will be part of the Pyxis, an engine 2 company at Bain Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams. This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation. The person in this role will need to: Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time Assist with research of secondary information to validate data trends Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods About you 4-6 years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, business, statistics or technical degree Expertise working with large data sets and proficiency in SQL, Excel Proficiency with data wrangling with Python is required Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Proficiency with data wrangling with Python is required Experience in sectors including CP or Retail would be a plus Experience in Churn/Retention, Panel would be a plus Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Excellent verbal, written, and data visualization skills Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.) Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus Experience with Git and modern software development workflow is a plus Agile way of working and tools (Jira, Confluence, Miro) Show more Show less

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 for Oil & Gas Trader's & Scheduler's Workbench Good to have skills : Energy Fundamentals 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 overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, managing the project team, and providing solutions to problems. With your expertise in SAP for Oil & Gas Trader's & Scheduler's Workbench, you will play a crucial role in driving the success of the project. 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 - Oversee the entire application development process Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Oil & Gas Trader's & Scheduler's Workbench - 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 for Oil & Gas Trader's & Scheduler's Workbench - This position is based at our Hyderabad office - A 15 years full-time education is required Show more Show less

About the Company: mindX360 Technologies is a startup of IT services, specializing in digital transformation and enterprise integrations. With a commitment to innovation, excellence, and customer satisfaction, we help businesses leverage technology to achieve their goals and stay competitive in today's dynamic marketplace. mindX360 Technologies uses a combination of technology innovation and in-depth subject-matter, consulting, and advising knowledge to tackle complex business problems. Our global cross-functional teams collaborate to develop end-to-end delivery, design, and strategic solutions. We provide the best technology for rapid integration, digital evolution, application development, and strategic assistance to businesses in need of digital transformation services like Legacy Modernization, Business Automation, Cloud Transformation, etc. We care about the ultimate business benefit and customer experience as much as our customers do, in each one of our relationships. Job Description: We are seeking a skilled and experienced MuleSoft Technical Lead to join our dynamic team. As a MuleSoft Technical Lead, you will be responsible for designing, developing, and maintaining integrations using the MuleSoft platform. You will work closely with cross-functional teams to ensure seamless data flow and integration across various systems. Key Responsibilities: • Total experience between 6-10 years, having 3 years of hands-on experience with MuleSoft Anypoint Platform • Design, develop, and test integrations using MuleSoft Anypoint Platformand having implementation knowledge on technical skills like Java, J2EE, Spring, JMS, XML, JSON, Webservices (Rest, SOAP) technologies, code version tools Jenkins, GIT hub, SVN, Maven and continuous Integration (CI) project experience. • Collaborate with architects, business analysts, project managers, and other stakeholders to understand integration requirements. • Own and define the technical architecture, design approaches, runtime deployment models, testing and coding strategies. • Develop and implement APIs and integrations to support business processes. • Ensure the quality and performance of MuleSoft integrations. • Troubleshoot and resolve issues related to MuleSoft applications. • Executing Jira dashboard, standup meetings with the integration team. • Responsible to lead the integration team • Knowledge of disaster recovery, failover, clustering, sizing of integration platform • Stay updated with the latest MuleSoft features and best practices. • Contribution to pre-sales, customer engagements, technical demos/workshops at client location, preparing case studies, product evaluation experience Qualifications: •Bachelor’s or master’s degree in computer science, information technology, or a related field. •Proven experience as a MuleSoft Technical Lead. •Strong understanding of MuleSoft Anypoint Platform, including API Manager, CloudHub, and Runtime Manager with different deployment models •Proficient in designing and implementing using multiple connectors in the MuleSoft platform. •Experience with data formats such as JSON, XML, and SOAP. •Familiarity with integration patterns, performance tuning and best practices. •Understanding the different deployment models in MuleSoft like RTF, Hybrid, Cloudhub. •Knowledge of Java, Spring or other programming languages. •Strong problem-solving skills and attention to detail. •Excellent communication and collaboration skills. Experience: •6-10 years of total experience, having minimum of 3 years of hands-on experience with MuleSoft Anypoint Platform. •Experience in developing custom MuleSoft components. • Experience in Agile/Scrum environments is required. Preferred Qualifications: •MuleSoft Developer Certification (MCD), MuleSoft Integration Architect (MCIA) are required •Experience with DevOps practices and tools. •Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. •Experience with CI/CD pipelines and version control systems. What We Offer: •Competitive salary and benefits package. •Opportunity to work with a talented and passionate team. •Professional development and growth opportunities. •Flexible work environment. How to Apply: Please send your resume and cover letter outlining your qualifications and interest in the role to careers@mindx360.com. We look forward to hearing from you! Show more Show less

Lookingfor a proven experience as a Solution Architect or similar role in the EdTechdomain Expertise in architecting and deploying applications using AWS andAzure cloud platforms Architect and design scalable, secure, andhigh-performance solutions for EdTech platforms using open-source frameworksand tools Hands-on knowledge of LMS platforms such as Moodle, OpenEdx, andother EdTech systems Experience with adaptive learning and assessment tools,and standards like SCORM, xAPI, and LTI Proficiency in programming/scriptinglanguages like Python, Java, .NET, or Nodejs Integrate third-party toolsand systems, ensuring seamless interoperability with existing EdTech platforms Strong experience in pre-sales and solutioning Readless

About Us We are a Platform Engineering company specializing in DevOps, CloudOps, and AIOps, working across various cloud platforms and services. Our team designs and delivers scalable, automated, and resilient cloud-native solutions for enterprises globally. Job description Interested to start your Career as a Senior AI/ML Developer(4+ Year Exp) ? Cloud Control is a forward-thinking IT organization dedicated to delivering cutting-edge solutions and improving the digital landscape. Role Overview: We are seeking a motivated and enthusiastic Senior AI/ML Engineer (4+ Year Exp) to join our growing lowtouch.ai team. The ideal candidate will have a strong interest in machine learning, data science, and AI technologies, and a passion for solving real-world problems using these skills. This is an entry-level role that offers the opportunity to work alongside experienced professionals, build foundational knowledge, and contribute to the development and deployment of AI solutions. Key Responsibilities: Assist in the development, training, and deployment of machine learning models for various business applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform exploratory data analysis, feature engineering, and data preprocessing to improve model performance. Support in evaluating and selecting appropriate AI/ML algorithms and techniques based on project requirements. Contribute to model testing, validation, and iteration, ensuring alignment with accuracy and performance metrics. Document models, workflows, and code to ensure reproducibility and scalability of AI solutions. Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, and best practices. Qualifications and Skills: Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Technical Skills: Basic understanding of machine learning algorithms and concepts (e.g., regression, classification, clustering). Proficiency in programming languages such as Python, R, or similar. Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of data preprocessing, feature selection, and model evaluation techniques. Experience with basic data analysis and visualization using tools like Pandas, Matplotlib, or Seaborn. Analytical Skills: Strong problem-solving abilities with attention to detail and accuracy. Communication: Good verbal and written communication skills to effectively collaborate with team members and stakeholders. Passion for Learning: Eagerness to learn and grow in the field of AI/ML and keep up with emerging trends and technologies. Job Type: Full-time Immediate joiners Preffered Show more Show less