Job Description We are looking for dynamic and enthusiastic Business Development Executives to expand our merchant base and promote PhonePes smart speakers and scanners. Key Responsibilities: Visit potential merchants and customers to promote and sell PhonePe products (smart speakers & scanners). Clearly explain product features, benefits, and pricing to prospective customers. Achieve daily, weekly, and monthly sales targets consistently. Maintain strong merchant relationships for sustained business growth. Ensure accurate documentation and reporting of daily activities. This is a 100% field sales role . Candidate Requirements Minimum qualification: 12th Pass (HSC). 3 to 6 months of experience in a sales/business development role (field sales preferred). Must own a two-wheeler and possess a valid driving license. Strong communication and interpersonal skills. Target-driven and self-motivated. What We Offer Attractive salary + performance-based incentives. Opportunities for career growth and skill enhancement. Experience in working with one of India’s fastest-growing fintech leaders. On-the-job training and support.
Job Description SAP ABAP Consultant We are looking for a skilled SAP ABAP Consultant with hands-on experience in S/4HANA projects and integration technologies. Key Responsibilities: Develop and maintain custom applications using SAP ABAP Work on S/4HANA implementations and enhancements Develop and consume ODATA services , ensuring seamless API or BTP integration Handle IDoc-based integration for data exchange Collaborate with cross-functional teams for requirement analysis and solution design Requirements: Minimum 5 years of experience in SAP ABAP development Strong expertise in API/BTP integration and ODATA services Experience with IDoc-based integration Previous experience on S/4HANA projects is mandatory Must be based in Bangalore or willing to relocate
Bring A copy of resume . Walk In Interview Location : Sector 96 Noida , ESquare Building work box , Super tech Building , Sector 96 Noida , 16th floor , Savantis Solution Office . Date 09/10/25 to 30/10/25 . Timings - 10:30 AM to 5:00 PM Role & responsibilities Greetings from Savantis Solutions! Golden opportunity for Engineering & IT Freshers to work in IT Infrastructure division with Savantis solutions! It's an IT Infrastructure Management group who is to be deployed at Client Premises. Position Details Profile: Service Desk Position: Analyst Trainee Job Location: Noida CTC: INR. 2.22 LPA + Cab Eligibility Criteria: Should be a 2022/2023/2024/2025 - B. Tech/ BCA (Computers)/ B. Sc (Mathematics / Computers) graduates Minimum 55% throughout the academics. B-Tech (CSE/ IT/ ECE / EEE / Civil / Mechanical / Instrumentation only) (2022/2023/2024/2025 graduates) Should have all the educational certificates Candidates should not have any academic backlogs currently. Level of Experience required: Freshers Good command in spoken & written English is mandatory. Job Description: Respond to requests for technical assistance in person, via phone. Diagnose and resolve technical hardware and software issues. Research questions using available information resources. Advise users on appropriate action. Should know about SLA and severity/priority (Person should aware Incident and service request definition). Follow standard help desk procedures. Log all help desk interactions. Temp asset device allocation. Administer help desk software. Follow up with customers and users to ensure complete resolution of issues. Redirect problems to correct resource. Identify and escalate situations requiring urgent attention. Track and route problems and requests and document resolutions. Prepare activity reports in excel format. Thanks Gaurav Bhatia Gaurav.bhatia@savantis.com
Role & responsibilities Your Role: Respond to incoming customer inquiries via phone or email, ensuring a timely and accurate resolution of basic issues related to the Cority Product Suite. Troubleshoot and assist clients with common technical problems such as login issues, system errors, and basic configuration questions. Log all customer support interactions in the customer support system, including case details, updates, and resolutions. Provide consistent follow-up with customers, ensuring they are informed of the status and progress of their case. Escalate more complex technical issues or bugs to the appropriate Tier 2 teams, including Engineering, and track progress until resolution. Collaborate with internal teams to ensure that customer issues are addressed promptly and accurately. Assist in identifying recurring customer issues Skills Required Experience with Salesforce Service Cloud - Case Management Experience with Jira, management Kanban board and Active Sprints MS Teams - utilize MS Teams for effective communications Previous experience in a customer service or help desk role, preferably within a software or technology environment. Strong analytical skills with the ability to assess issues, identify root causes, and provide effective solutions. Strong customer service orientation with excellent verbal and written communication skills. Basic understanding of software systems and the ability to quickly learn and apply technical information. Solid organizational skills with the ability to prioritize tasks and manage time effectively in a fast-paced environment. Comfortable working with different software platforms (e.g., Salesforce CRM or similar ticketing systems). Ability to work independently while also being a team player, collaborating with peers and senior support staff as needed. A positive attitude and a desire to continuously learn and improve technical and problem solving skills
Role & responsibilities Job Overview: We are seeking a skilled Machine Learning Engineer , Data Scientist , or Data Analyst to design, develop, and deploy machine learning models, conduct deep data analysis, and generate actionable insights. The ideal candidate will have experience in data preprocessing, feature engineering, model development, and performance optimization, working with large datasets and leveraging advanced machine learning frameworks. Key Responsibilities: Data Preparation & Analysis : Gather, clean, and preprocess structured, semi-structured, and unstructured data from various sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and outliers. Apply data wrangling techniques using Pandas , NumPy , and SQL to transform raw data into usable formats. Use statistical analysis to drive data-driven decision-making. Machine Learning Model Development : Build, train, and fine-tune machine learning models using Scikit-learn , TensorFlow , Keras , or PyTorch . Develop predictive models, classification algorithms, clustering models, and recommendation systems. Conduct hyperparameter optimization using techniques like grid search or random search. Model Evaluation & Optimization : Evaluate model performance using metrics such as Accuracy , Precision , Recall , F1-Score , AUC-ROC , Confusion Matrix , and Cross-validation . Improve model performance through techniques such as feature engineering, data augmentation, and regularization. Deploy models into production environments, and monitor performance for continual improvement. Data Visualization & Reporting : Develop dashboards and reports using Tableau , Power BI , Matplotlib , Seaborn , or Plotly . Present findings through clear visualizations and actionable insights to non-technical stakeholders. Write detailed reports on data analysis and machine learning results, ensuring transparency and reproducibility. Collaboration & Stakeholder Communication : Work closely with cross-functional teams (e.g., engineering, product, business) to define data-driven solutions. Communicate technical concepts clearly to non-technical stakeholders and provide insights that influence product and business strategy. Data Pipeline & Automation : Design and implement scalable data pipelines for model training and deployment using Airflow , Apache Kafka , or Celery . Automate data collection, preprocessing, and feature extraction tasks. Research & Continuous Learning : Stay up-to-date with the latest trends in machine learning, deep learning, and data science methodologies. Explore new tools, techniques, and frameworks to improve model accuracy and efficiency. Required Skills: Programming Languages : Strong proficiency in Python , with experience in SQL . Machine Learning : Hands-on experience with Scikit-learn , TensorFlow , Keras , PyTorch , or similar ML libraries. Data Analysis : Strong skills in Pandas , NumPy , and Matplotlib for data manipulation and analysis. Statistical Analysis : Experience applying statistical methods to data, including hypothesis testing and regression analysis. Cloud Platforms : Familiarity with AWS , Azure , or Google Cloud for deploying models and using cloud-native data services (e.g., AWS Sagemaker , Azure ML ). Data Visualization : Experience using Tableau , Power BI , Matplotlib , Seaborn , or Plotly for creating visualizations. SQL & Databases : Proficiency in SQL for querying relational databases and working with NoSQL databases (e.g., MongoDB , BigQuery ). Version Control : Experience using Git for version control. Desirable Skills: Big Data Technologies : Familiarity with tools like Apache Hadoop , Spark , Dask , or Google BigQuery for processing large datasets. Deep Learning : Experience with deep learning frameworks such as TensorFlow , PyTorch , or MXNet . NLP & Computer Vision : Experience with natural language processing (NLP) using spaCy , NLTK , or transformers , and computer vision using OpenCV or TensorFlow . MLOps : Familiarity with MLOps tools like Kubeflow , MLflow , or DVC for managing model workflows. Data Engineering : Experience with ETL tools like Apache Airflow , Talend , AWS Glue , or Google Dataflow for data pipeline automation. Tools & Technologies: Machine Learning : Scikit-learn , TensorFlow , PyTorch , Keras , XGBoost . Data Analysis : Pandas , NumPy , Matplotlib , Seaborn , Plotly . Cloud Platforms : AWS , Google Cloud , Azure . Databases : MySQL , PostgreSQL , MongoDB , BigQuery , Snowflake . Data Visualization : Tableau , Power BI , Matplotlib , Seaborn , Plotly . Version Control : Git .
Golden opportunity for Engineering & IT Freshers to work in IT Infrastructure division with Savantis solutions! It's an IT Infrastructure Management group who is to be deployed at Client Premises. Position Details Profile: Service Desk Position: Analyst Trainee Job Location: Noida CTC: INR. 2.22 LPA + Cab Eligibility Criteria: Should be a 2022/2023/2024/2025 - B. Tech/ BCA (Computers)/ B. Sc (Mathematics / Computers) graduates Minimum 55% throughout the academics. B-Tech (CSE/ IT/ ECE / EEE / Civil / Mechanical / Instrumentation only) (2023/2024/2025 graduates) Should have all the educational certificates Candidates should not have any academic backlogs currently. Level of Experience required: Freshers Good command in spoken & written English is mandatory. Job Description: Respond to requests for technical assistance in person, via phone. Diagnose and resolve technical hardware and software issues. Research questions using available information resources. Advise users on appropriate action. Should know about SLA and severity/priority (Person should aware Incident and service request definition). Follow standard help desk procedures. Log all help desk interactions. Temp asset device allocation. Administer help desk software. Follow up with customers and users to ensure complete resolution of issues. Redirect problems to correct resource. Identify and escalate situations requiring urgent attention. Track and route problems and requests and document resolutions. Prepare activity reports in excel format.
Role & responsibilities Job Overview: We are seeking a skilled Machine Learning Engineer , Data Scientist , or Data Analyst to design, develop, and deploy machine learning models, conduct deep data analysis, and generate actionable insights. The ideal candidate will have experience in data preprocessing, feature engineering, model development, and performance optimization, working with large datasets and leveraging advanced machine learning frameworks. Key Responsibilities: Data Preparation & Analysis : Gather, clean, and preprocess structured, semi-structured, and unstructured data from various sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and outliers. Apply data wrangling techniques using Pandas , NumPy , and SQL to transform raw data into usable formats. Use statistical analysis to drive data-driven decision-making. Machine Learning Model Development : Build, train, and fine-tune machine learning models using Scikit-learn , TensorFlow , Keras , or PyTorch . Develop predictive models, classification algorithms, clustering models, and recommendation systems. Conduct hyperparameter optimization using techniques like grid search or random search. Model Evaluation & Optimization : Evaluate model performance using metrics such as Accuracy , Precision , Recall , F1-Score , AUC-ROC , Confusion Matrix , and Cross-validation . Improve model performance through techniques such as feature engineering, data augmentation, and regularization. Deploy models into production environments, and monitor performance for continual improvement. Data Visualization & Reporting : Develop dashboards and reports using Tableau , Power BI , Matplotlib , Seaborn , or Plotly . Present findings through clear visualizations and actionable insights to non-technical stakeholders. Write detailed reports on data analysis and machine learning results, ensuring transparency and reproducibility. Collaboration & Stakeholder Communication : Work closely with cross-functional teams (e.g., engineering, product, business) to define data-driven solutions. Communicate technical concepts clearly to non-technical stakeholders and provide insights that influence product and business strategy. Data Pipeline & Automation : Design and implement scalable data pipelines for model training and deployment using Airflow , Apache Kafka , or Celery . Automate data collection, preprocessing, and feature extraction tasks. Research & Continuous Learning : Stay up-to-date with the latest trends in machine learning, deep learning, and data science methodologies. Explore new tools, techniques, and frameworks to improve model accuracy and efficiency. Required Skills: Programming Languages : Strong proficiency in Python , with experience in SQL . Machine Learning : Hands-on experience with Scikit-learn , TensorFlow , Keras , PyTorch , or similar ML libraries. Data Analysis : Strong skills in Pandas , NumPy , and Matplotlib for data manipulation and analysis. Statistical Analysis : Experience applying statistical methods to data, including hypothesis testing and regression analysis. Cloud Platforms : Familiarity with AWS , Azure , or Google Cloud for deploying models and using cloud-native data services (e.g., AWS Sagemaker , Azure ML ). Data Visualization : Experience using Tableau , Power BI , Matplotlib , Seaborn , or Plotly for creating visualizations. SQL & Databases : Proficiency in SQL for querying relational databases and working with NoSQL databases (e.g., MongoDB , BigQuery ). Version Control : Experience using Git for version control. Desirable Skills: Big Data Technologies : Familiarity with tools like Apache Hadoop , Spark , Dask , or Google BigQuery for processing large datasets. Deep Learning : Experience with deep learning frameworks such as TensorFlow , PyTorch , or MXNet . NLP & Computer Vision : Experience with natural language processing (NLP) using spaCy , NLTK , or transformers , and computer vision using OpenCV or TensorFlow . MLOps : Familiarity with MLOps tools like Kubeflow , MLflow , or DVC for managing model workflows. Data Engineering : Experience with ETL tools like Apache Airflow , Talend , AWS Glue , or Google Dataflow for data pipeline automation. Tools & Technologies: Machine Learning : Scikit-learn , TensorFlow , PyTorch , Keras , XGBoost . Data Analysis : Pandas , NumPy , Matplotlib , Seaborn , Plotly . Cloud Platforms : AWS , Google Cloud , Azure . Databases : MySQL , PostgreSQL , MongoDB , BigQuery , Snowflake . Data Visualization : Tableau , Power BI , Matplotlib , Seaborn , Plotly . Version Control : Git .
Position: IT Service Desk International Voice Technical Support Work Mode: 100% Work from Office Shift: US Shift (Night Shift) Working Days: 5 days/week (Rotational offs) Experience Required: Minimum 6 months – 4 years in International Voice Support Key Skills Required: IT Service Desk experience Troubleshooting – OS, browsers, software, antivirus, printers MS Office 365 (Word, Excel, PowerPoint, Outlook) VPN and basic networking knowledge Basic knowledge of Active Directory, Azure AD (added advantage) Familiarity with ITSM tools (ServiceNow, Remedy) Remote desktop tools (Bomgar, Webex, SMS) Excellent verbal and written communication (mandatory) Roles & Responsibilities: Provide Level 1 remote desktop support and manage user accounts Respond to technical issues via phone, email, or ticketing system Troubleshoot hardware/software/network and printer-related issues Document incidents using the Incident Management System Escalate unresolved issues to Level 2/3 support Coordinate with vendors and internal teams Deliver high-quality customer service and maintain detailed documentation Participate in knowledge sharing and cross-functional collaboration.
Hi, Greetings from Savantis! We are hiring for one of our clients. Please go through the below details and let us know if you are interested in this opportunity. Client : MNC Position/Title : Service Desk Engineer Experience : 1+ Years Job Location : Hyderabad , Bangalore - WFO Shift: US shift only (Night Shift). JD: International Voice process which involves rotational offs and shifts covering Client and U.S. holidays with an entirely work from office environment. Hands-on work experience with the following: Windows Operating systems and Mac MS Office Suite: O365 office suite (2016, 2020) MS-Word, MS-Excel, MS-PowerPoint, and Outlook/Exchange Working knowledge of Windows Servers, Virtual desktop (Citrix) Basic knowledge of Active Directory, Azure AD (additional advantage) ITSM tools such as Service Now, Remedy. User account creation for Active Directory, Exchange Mailboxes O365 Remote desktop connectivity applications like SMS, Bomgar, Webex. Internet browsers (e.g. Explorer, Chrome, Firefox), VPN and remote dial-in users Support for laptop, desktops, and printers. If you are interested in this opportunity, please share the below details along with your updated CV at dinesh.goud@savantis.com Total Exp: Rel Exp: Current CTC: Exp CTC: Notice Period: Location: Regards, Dinesh Kumar.
Hi. Greetings from Savantis! We are hiring for one of our clients. Please go through the below details and let us know if you are interested in this opportunity. Position/Title : Customer Support Analyst Experience : 4 - 10 Years Mode : FTE Job Locations : Hyderabad, Bangalore, Mumbai, Pune - Hybrid Shift: 5-30 PM to 2:30 AM IST / 1PM-10PM / 3:30PM to 12-30AM (Rotational Shift). Must have : Saas, B2B, Global Key Skills: Salesforce, customer support, ticketing (Jira), case management, Service Cloud. Job Description: Experience with Salesforce Service Cloud - Case Management Experience with Jira , management Kanban board and Active Sprints MS Teams - utilize MS Teams for effective communications Previous experience in a customer service or help desk role, preferably within a software or technology environment. Strong analytical skills with the ability to assess issues, identify root causes, and provide effective solutions. Strong customer service orientation with excellent verbal and written communication skills. Basic understanding of software systems and the ability to quickly learn and apply technical information. Solid organizational skills with the ability to prioritize tasks and manage time effectively in a fast-paced environment. Comfortable working with different software platforms (e.g., Salesforce CRM or similar ticketing systems). If you are interested in this opportunity, please share the below details along with your updated CV at dinesh.goud@savantis.com Total experience: Relevant experience: Current CTC: Expected CTC: Notice Period: Current location: Regards, Dinesh Kumar.
Sr. Data Engineer / Data Engineer About the Role Were looking for an experienced Data Engineer to design and build reliable, scalable data pipelines that power analytics, business intelligence, and data-driven decision-making. Youll work with modern data tools and collaborate across teams to ensure clean, high-quality, and performant data systems. Location: Remote / Hybrid Experience: 6-10 years Responsibilities Design, develop, and maintain end-to-end data ingestion and transformation pipelines using tools such as Airflow, Fivetran , or custom Python scripts. Ingest data from multiple sources application databases, event streams, and third-party APIs into centralized data warehouses (e.g., Snowflake, BigQuery, or Redshift ). Implement data quality, monitoring, and observability best practices, including automated tests, alerts, and data lineage tracking. Collaborate closely with Analytics Engineering (dbt) and Business Intelligence (BI) teams to ensure pipelines meet downstream modeling and reporting requirements. Optimize data storage and query performance through schema tuning, indexing, and efficient SQL design for large-scale datasets. Maintain comprehensive documentation of data schemas, pipeline architecture, and operational runbooks. Participate in technology evaluations and proof-of-concept projects to continuously enhance the data infrastructure and stack.
We are looking for a Renewals Specialist to join our team. Please find the detailed job description below: Job Title: Renewal Specialist Location: Pune/Mumbai Experience: 5-8 years About the Role: We are looking for a Renewal Specialist to support subscription revenue retention and growth by managing end-to-end renewal workflows. The role involves engaging customers early, ensuring timely renewals, and collaborating closely with U.S.-based teams. Key Responsibilities: Manage an assigned renewal portfolio by initiating engagement well in advance of contract expiration. Drive renewal discussions with customers, including multi-year conversions. Maintain accurate opportunity and quote data in Salesforce and Gainsight. Proactively flag risks or delays and align with Customer Success and Sales on renewal strategy. Ensure timely execution of renewal contracts while maintaining high data hygiene. Deliver regular status updates and contribute to process improvement initiatives. Required Skills & Experience: 25 years of experience in SaaS renewals, sales operations, or customer-facing support roles. Salesforce proficiency required; Gainsight recommended. Strong attention to detail and data accuracy. Ability to handle high-volume renewal workflows efficiently. Excellent communication skills with internal teams and external customers.
Hi, Greetings from Savantis! We are hiring for one of our clients. Please go through the below details and let us know if you are interested in this opportunity. Client : MNC Mode : FTE Position/Title : Senior Technical Lead Experience : 5+ Years Job Locations : Chennai, Hyderabad, Pune, Noida, Bangalore - WFO Required Skills: Programming Languages : Strong proficiency in Python , with experience in SQL . Machine Learning : Hands-on experience with Scikit-learn , TensorFlow , Keras , PyTorch , or similar ML libraries. Data Analysis : Strong skills in Pandas , NumPy , and Matplotlib for data manipulation and analysis. Statistical Analysis : Experience applying statistical methods to data, including hypothesis testing and regression analysis. Cloud Platforms : Familiarity with AWS , Azure , or Google Cloud for deploying models and using cloud-native data services (e.g., AWS Sagemaker , Azure ML ). Data Visualization : Experience using Tableau , Power BI , Matplotlib , Seaborn , or Plotly for creating visualizations. SQL & Databases : Proficiency in SQL for querying relational databases and working with NoSQL databases (e.g., MongoDB , BigQuery ). Version Control : Experience using Git for version control. Tools & Technologies: Machine Learning : Scikit-learn , TensorFlow , PyTorch , Keras , XGBoost . Data Analysis : Pandas , NumPy , Matplotlib , Seaborn , Plotly . Cloud Platforms : AWS , Google Cloud , Azure . Databases : MySQL , PostgreSQL , MongoDB , BigQuery , Snowflake . Data Visualization : Tableau , Power BI , Matplotlib , Seaborn , Plotly . Version Control : Git . If you are interested in this opportunity, please share the below details along with your updated CV at dinesh.goud@savantis.com Total Exp: Rel Exp: Current CTC: Exp CTC: Location: Notice Period: Regards, Dinesh Kumar.
Dear Candidate , We are hiring for Senior Software Engineer in Test UI-QA Automation . Please go through the below details and let us know if you are interested in this opportunity. Job Title: Senior Software Engineer in Test UI-QA Automation Experience : 10+ years Job Location: Bangalore Notice period: Immediate to 30 days Work Mode: Hybrid We are hiring for Qualifications and Experience Minimum of 10+ years in the field of quality assurance and/or information technology recommended. Excellent communication skills Prior coding and test automation experience ( JavaScript, Python, Java, C++ ) Experience with QA methodologies, automation tools, coding patterns and best practices, and working in an agile environment Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as Jenkins, TeamCity, GitLab CI, or similar. Familiarity with containerization technologies such as Docker Experience on playwright, Webdriver.io Ideally you will have: BS/BA degree (Computer Science or Business degree preferred) Effective contributing member in a small, high-performance team Excellent persuasive, presentation, written, and verbal communication skills