4654 Extract Jobs - Page 43

Experience : 2.00 + years Salary : INR 420000-550000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRM, Multi-tasking, cold calling, Communication Skills, Lead Generation, LinkedIN Sales Navigator, Digital Marketing, Email Campaigns, Apollo.io, Lusha Uplers is Looking for: Shift - 7.30 pm to 4.30 am (Night shift) 5 days working Remote Roles and Responsibilities : Must have a minimum 2 yr. Experience in lead generation using LinkedIn Sales Navigator.(Experience Required- 2-4 yrs.) Responsible for extracting leads using Google, LinkedIn Sales Navigator, Apollo, Lusha, and other similar tools, as well as engaging with prospects on LinkedIn and via email. Appointment Setting: Scheduling appointments with qualified leads who have expressed interest in our service. You may need to coordinate with sales representatives or account executives to ensure a smooth handoff. Lead Generation: Utilizing LinkedIn Sales Navigator, Apollo, Lusha, and other tools to identify potential leads and extract their contact information, such as email addresses and phone numbers. Database Management: Maintaining an organized and updated database of leads, including accurate contact details and relevant information. CRM Management: Updating and maintaining accurate records of interactions, call outcomes, and any relevant information within the Customer Relationship Management (CRM) system. This ensures that the sales team has access to up-to-date and relevant information when engaging with leads. Email Campaigns: Crafting compelling email campaigns to reach out to leads and introduce them to your product or service. These emails should be personalized, engaging, and focused on generating interest and qualified appointments. LinkedIn Engagement: Actively engaging with potential leads on LinkedIn by sending connection requests, personalized messages, and InMail’s. Your goal is to build relationships, establish credibility, and promote your product or service. Relationship Building: Building and maintaining relationships with leads through consistent and thoughtful follow-up. Providing valuable information, industry insights, or relevant content can help establish trust, credibility and increase the likelihood of conversion in the long run. Product/Service Knowledge: Acquiring a deep understanding of company's product or service offerings to effectively communicate their value propositions to potential leads. Qualifying Leads: Conducting initial qualifying conversations to assess the fit between the leads needs and your product or service. This involves asking probing questions and gathering relevant information to determine if there is a potential for a qualified appointment. Reporting and Metrics: Tracking and documenting your activities, results, and key performance indicators (KPIs), such as the number of leads generated, appointments set, conversions, and revenue generated. Providing regular reports and updates to management. Continuous Learning: Staying up-to-date with industry trends, competitive landscape, and best practices in lead generation and sales. Actively seeking feedback and incorporating it into your strategies to improve performance. Cold Calling: Initiating outbound calls to prospects based on the leads generated through your research and databases. Phone Scripting: Developing and using effective phone scripts that outline key talking points and help guide the conversation with prospects. Phone scripts should be personalized and tailored to address the specific pain points and needs of the leads. Call Monitoring and Recording: Maintaining accurate records of calls made, including notes on conversations, objections raised, and any important information gathered during the call. This helps to track progress, refine approaches, and provide valuable insights to the sales team. Active Listening and Objection Handling: Actively listening to prospects during phone calls, understanding their concerns or objections, and addressing them effectively. Having a thorough understanding of the product or service enables you to provide relevant information and overcome objections to move the conversation forward. Reminder Calls or Emails(Follow-Up Calls/Email Follow-Ups): I: Sending reminder emails or making reminder calls to leads who have expressed interest but have not taken the desired action, such as scheduling an appointment or providing additional information. Reminders serve as gentle prompts and can help re-engage leads who may have been busy or overlooked previous communications. Persistence and Persistence Tracking: Maintaining a structured approach to follow-ups and persistently engaging with leads until a final resolution is reached. Keeping track of follow- up attempts, responses, and outcomes in your CRM system or tracking tool is essential for effective follow-up management. Adjusting Follow-Up Strategies: Continuously assess and adjust your follow-up strategies based on the responses and feedback received from leads. Experimenting with different approaches, timing, and communication channels can help optimize your follow-up efforts and improve conversion rates. CDD: Research the client and company, create a Client Discovery Document (CDD) for all the appointments, Ensuring that all possible data points in the Client Discovery Document (CDD) are updated for the scheduled calls. Requirements : Business Development, Sales Management, CRM Management, proposal documentation, Excellent communication and negotiation skills, growth hungry. Experience in selling digital marketing services for customers based out of the US. Should have Experience doing cold calling and generating leads in US market. Sales experience in the US market is a must - Mandatory Requirement. Experience working on tools like Sales Navigator, Upwork Etc. Experience with CRM software like HubSpot, Click Up Etc. Proficiency in MS Office. Excellent multi-tasking skills Ability to prioritize tasks Ability to present and explain ideas to a variety of audiences Ability to sell value and create credibility Ability to maintain a high level of professionalism and confidentiality Enthusiastic to build good relationships with people Ability to work well in a team environment Tracking new clients in various industries, placing proposals, and getting agreements. Process and manage paperwork and correspondence related to all clients. Understand clients needs by doing client assessments. Provide detailed client documentation. Hands-on experience in all elements of the sales process from Approaching Leads, Scheduling Interviews, Creating Proposals, negotiations and closings. Arrange/Prepare proposals for clients. Achieve Sales Targets via Outbound Leads. Fixing Prospect meetings & Giving Presentations (If needed). Requirements Gathering and understanding Nurturing clients from scratch to maturity. Support the team with other responsibilities as required. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Full-time Job Description As the Jr Client Operations Partner, you will manage ongoing manufacturer database maintenance quality and scoping of change requests, reviewing new item placements and coding and leading client inquiry triage and resolution. You will directly communicate with clients and client operations support teams and collaborate with cross-functional Operations and Technology teams. Responsibilities Scope and prototype change requests for custom databases. Review new item reports and ensure items are placed as per client DB standards Communicate with Sr. Client Operations Leaders and manufacturing clients regarding database updates and changes, including timelines for implementation. Assist in the coding of new items and creating custom database market orders Conduct database validation exercises for new product, market, and fact additions, as well as data inquiry corrections. Maintain client database and category guidebooks. Serve as the end-to-end owner of client inquiries related to database services and feasibility, product coding, and data quality (excluding coverage and methodology). Address syndicated database support questions and client inquiries. Collaborate with cross-functional operations and technology teams to resolve client inquiries and provide input into client health tracking metrics. Work with the Extract team to understand extract challenges and re-run needs. Open client inquiries and REAP tickets as necessary. Qualifications MBA graduate is preferred Proficiency in management and maintenance of data modeling, and query optimization. Knowledge of data extraction, transformation, and loading processes. Experience with data validation and quality assurance. Strong written and verbal communication skills to interact with clients and cross-functional teams (e.g., Operations, Technology) to resolve client issues. Ability to explain technical concepts to non-technical stakeholders. Analytical mindset to troubleshoot database issues and identify the correct teams to mitigate and provide resolutions. Adaptability to handle unexpected challenges and changes. Thoroughness in scoping change requests and documenting client inquiries. Experience in client-facing roles and servicing clients is a plus. Ability to manage multiple tasks and clients simultaneously, prioritize workload, and meet deadlines. Detail-oriented approach to maintaining guidebooks and documentation. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Experience : 2.00 + years Salary : INR 420000-550000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRM, Multi-tasking, cold calling, Communication Skills, Lead Generation, LinkedIN Sales Navigator, Digital Marketing, Email Campaigns, Apollo.io, Lusha Uplers is Looking for: Shift - 7.30 pm to 4.30 am (Night shift) 5 days working Remote Roles and Responsibilities : Must have a minimum 2 yr. Experience in lead generation using LinkedIn Sales Navigator.(Experience Required- 2-4 yrs.) Responsible for extracting leads using Google, LinkedIn Sales Navigator, Apollo, Lusha, and other similar tools, as well as engaging with prospects on LinkedIn and via email. Appointment Setting: Scheduling appointments with qualified leads who have expressed interest in our service. You may need to coordinate with sales representatives or account executives to ensure a smooth handoff. Lead Generation: Utilizing LinkedIn Sales Navigator, Apollo, Lusha, and other tools to identify potential leads and extract their contact information, such as email addresses and phone numbers. Database Management: Maintaining an organized and updated database of leads, including accurate contact details and relevant information. CRM Management: Updating and maintaining accurate records of interactions, call outcomes, and any relevant information within the Customer Relationship Management (CRM) system. This ensures that the sales team has access to up-to-date and relevant information when engaging with leads. Email Campaigns: Crafting compelling email campaigns to reach out to leads and introduce them to your product or service. These emails should be personalized, engaging, and focused on generating interest and qualified appointments. LinkedIn Engagement: Actively engaging with potential leads on LinkedIn by sending connection requests, personalized messages, and InMail’s. Your goal is to build relationships, establish credibility, and promote your product or service. Relationship Building: Building and maintaining relationships with leads through consistent and thoughtful follow-up. Providing valuable information, industry insights, or relevant content can help establish trust, credibility and increase the likelihood of conversion in the long run. Product/Service Knowledge: Acquiring a deep understanding of company's product or service offerings to effectively communicate their value propositions to potential leads. Qualifying Leads: Conducting initial qualifying conversations to assess the fit between the leads needs and your product or service. This involves asking probing questions and gathering relevant information to determine if there is a potential for a qualified appointment. Reporting and Metrics: Tracking and documenting your activities, results, and key performance indicators (KPIs), such as the number of leads generated, appointments set, conversions, and revenue generated. Providing regular reports and updates to management. Continuous Learning: Staying up-to-date with industry trends, competitive landscape, and best practices in lead generation and sales. Actively seeking feedback and incorporating it into your strategies to improve performance. Cold Calling: Initiating outbound calls to prospects based on the leads generated through your research and databases. Phone Scripting: Developing and using effective phone scripts that outline key talking points and help guide the conversation with prospects. Phone scripts should be personalized and tailored to address the specific pain points and needs of the leads. Call Monitoring and Recording: Maintaining accurate records of calls made, including notes on conversations, objections raised, and any important information gathered during the call. This helps to track progress, refine approaches, and provide valuable insights to the sales team. Active Listening and Objection Handling: Actively listening to prospects during phone calls, understanding their concerns or objections, and addressing them effectively. Having a thorough understanding of the product or service enables you to provide relevant information and overcome objections to move the conversation forward. Reminder Calls or Emails(Follow-Up Calls/Email Follow-Ups): I: Sending reminder emails or making reminder calls to leads who have expressed interest but have not taken the desired action, such as scheduling an appointment or providing additional information. Reminders serve as gentle prompts and can help re-engage leads who may have been busy or overlooked previous communications. Persistence and Persistence Tracking: Maintaining a structured approach to follow-ups and persistently engaging with leads until a final resolution is reached. Keeping track of follow- up attempts, responses, and outcomes in your CRM system or tracking tool is essential for effective follow-up management. Adjusting Follow-Up Strategies: Continuously assess and adjust your follow-up strategies based on the responses and feedback received from leads. Experimenting with different approaches, timing, and communication channels can help optimize your follow-up efforts and improve conversion rates. CDD: Research the client and company, create a Client Discovery Document (CDD) for all the appointments, Ensuring that all possible data points in the Client Discovery Document (CDD) are updated for the scheduled calls. Requirements : Business Development, Sales Management, CRM Management, proposal documentation, Excellent communication and negotiation skills, growth hungry. Experience in selling digital marketing services for customers based out of the US. Should have Experience doing cold calling and generating leads in US market. Sales experience in the US market is a must - Mandatory Requirement. Experience working on tools like Sales Navigator, Upwork Etc. Experience with CRM software like HubSpot, Click Up Etc. Proficiency in MS Office. Excellent multi-tasking skills Ability to prioritize tasks Ability to present and explain ideas to a variety of audiences Ability to sell value and create credibility Ability to maintain a high level of professionalism and confidentiality Enthusiastic to build good relationships with people Ability to work well in a team environment Tracking new clients in various industries, placing proposals, and getting agreements. Process and manage paperwork and correspondence related to all clients. Understand clients needs by doing client assessments. Provide detailed client documentation. Hands-on experience in all elements of the sales process from Approaching Leads, Scheduling Interviews, Creating Proposals, negotiations and closings. Arrange/Prepare proposals for clients. Achieve Sales Targets via Outbound Leads. Fixing Prospect meetings & Giving Presentations (If needed). Requirements Gathering and understanding Nurturing clients from scratch to maturity. Support the team with other responsibilities as required. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 2.00 + years Salary : INR 420000-550000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRM, Multi-tasking, cold calling, Communication Skills, Lead Generation, LinkedIN Sales Navigator, Digital Marketing, Email Campaigns, Apollo.io, Lusha Uplers is Looking for: Shift - 7.30 pm to 4.30 am (Night shift) 5 days working Remote Roles and Responsibilities : Must have a minimum 2 yr. Experience in lead generation using LinkedIn Sales Navigator.(Experience Required- 2-4 yrs.) Responsible for extracting leads using Google, LinkedIn Sales Navigator, Apollo, Lusha, and other similar tools, as well as engaging with prospects on LinkedIn and via email. Appointment Setting: Scheduling appointments with qualified leads who have expressed interest in our service. You may need to coordinate with sales representatives or account executives to ensure a smooth handoff. Lead Generation: Utilizing LinkedIn Sales Navigator, Apollo, Lusha, and other tools to identify potential leads and extract their contact information, such as email addresses and phone numbers. Database Management: Maintaining an organized and updated database of leads, including accurate contact details and relevant information. CRM Management: Updating and maintaining accurate records of interactions, call outcomes, and any relevant information within the Customer Relationship Management (CRM) system. This ensures that the sales team has access to up-to-date and relevant information when engaging with leads. Email Campaigns: Crafting compelling email campaigns to reach out to leads and introduce them to your product or service. These emails should be personalized, engaging, and focused on generating interest and qualified appointments. LinkedIn Engagement: Actively engaging with potential leads on LinkedIn by sending connection requests, personalized messages, and InMail’s. Your goal is to build relationships, establish credibility, and promote your product or service. Relationship Building: Building and maintaining relationships with leads through consistent and thoughtful follow-up. Providing valuable information, industry insights, or relevant content can help establish trust, credibility and increase the likelihood of conversion in the long run. Product/Service Knowledge: Acquiring a deep understanding of company's product or service offerings to effectively communicate their value propositions to potential leads. Qualifying Leads: Conducting initial qualifying conversations to assess the fit between the leads needs and your product or service. This involves asking probing questions and gathering relevant information to determine if there is a potential for a qualified appointment. Reporting and Metrics: Tracking and documenting your activities, results, and key performance indicators (KPIs), such as the number of leads generated, appointments set, conversions, and revenue generated. Providing regular reports and updates to management. Continuous Learning: Staying up-to-date with industry trends, competitive landscape, and best practices in lead generation and sales. Actively seeking feedback and incorporating it into your strategies to improve performance. Cold Calling: Initiating outbound calls to prospects based on the leads generated through your research and databases. Phone Scripting: Developing and using effective phone scripts that outline key talking points and help guide the conversation with prospects. Phone scripts should be personalized and tailored to address the specific pain points and needs of the leads. Call Monitoring and Recording: Maintaining accurate records of calls made, including notes on conversations, objections raised, and any important information gathered during the call. This helps to track progress, refine approaches, and provide valuable insights to the sales team. Active Listening and Objection Handling: Actively listening to prospects during phone calls, understanding their concerns or objections, and addressing them effectively. Having a thorough understanding of the product or service enables you to provide relevant information and overcome objections to move the conversation forward. Reminder Calls or Emails(Follow-Up Calls/Email Follow-Ups): I: Sending reminder emails or making reminder calls to leads who have expressed interest but have not taken the desired action, such as scheduling an appointment or providing additional information. Reminders serve as gentle prompts and can help re-engage leads who may have been busy or overlooked previous communications. Persistence and Persistence Tracking: Maintaining a structured approach to follow-ups and persistently engaging with leads until a final resolution is reached. Keeping track of follow- up attempts, responses, and outcomes in your CRM system or tracking tool is essential for effective follow-up management. Adjusting Follow-Up Strategies: Continuously assess and adjust your follow-up strategies based on the responses and feedback received from leads. Experimenting with different approaches, timing, and communication channels can help optimize your follow-up efforts and improve conversion rates. CDD: Research the client and company, create a Client Discovery Document (CDD) for all the appointments, Ensuring that all possible data points in the Client Discovery Document (CDD) are updated for the scheduled calls. Requirements : Business Development, Sales Management, CRM Management, proposal documentation, Excellent communication and negotiation skills, growth hungry. Experience in selling digital marketing services for customers based out of the US. Should have Experience doing cold calling and generating leads in US market. Sales experience in the US market is a must - Mandatory Requirement. Experience working on tools like Sales Navigator, Upwork Etc. Experience with CRM software like HubSpot, Click Up Etc. Proficiency in MS Office. Excellent multi-tasking skills Ability to prioritize tasks Ability to present and explain ideas to a variety of audiences Ability to sell value and create credibility Ability to maintain a high level of professionalism and confidentiality Enthusiastic to build good relationships with people Ability to work well in a team environment Tracking new clients in various industries, placing proposals, and getting agreements. Process and manage paperwork and correspondence related to all clients. Understand clients needs by doing client assessments. Provide detailed client documentation. Hands-on experience in all elements of the sales process from Approaching Leads, Scheduling Interviews, Creating Proposals, negotiations and closings. Arrange/Prepare proposals for clients. Achieve Sales Targets via Outbound Leads. Fixing Prospect meetings & Giving Presentations (If needed). Requirements Gathering and understanding Nurturing clients from scratch to maturity. Support the team with other responsibilities as required. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Position : AI/ML Engineer Location : Nagpur ( work from Office strictly) Salary : Negotiable on current package We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Roles and Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Skills : Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets Proficiency with OpenCV Familiarity with Linux Ability to select hardware to run an ML model with the required latency Show more Show less

Job Description R3- Senior Manager, Data Quality Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview As a Data Quality Engineer you will play a pivotal role ensuring the quality of our data across all domains, which will directly influence patients who use our life-saving products. Key tasks include data integration, ETL (Extract, Transform, Load) processes, and building and managing data quality routines. If you are passionate about data governance and want to make a significant impact, we encourage you to apply. What Will You Do In This Role As part of enterprise Data Quality platform team, you will contribute to our success in the following areas Work with our divisional partners to onboard their data to our data quality platform and help drive adoption within their teams. Understand divisional requirements and codify them within the data quality platform Create and maintain data quality rules and checks. Review data quality reports and communicate findings with divisional stakeholders Train users on the platform, promoting consistent use. Contribute to the development and documentation of standards for platform usage. Perform product engineering and develop automation utilities. What Should You Have Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience. Hands-on professional who has been in the technology industry for minimum 7-11 years as a Data Engineer. Strong level of SQL is a must. Knowledge of data transformation (ETL/ELT) routines. Strong understanding of REST APIs and how to use them programmatically. Experience with Collibra Data Quality and with data visualization tools is an advantage. Knowledge of GitHub and Python is an advantage Some experience with Spark/PySpark would be good. Good standard of professional communication and building working relationships with customers. Good time-management skills and ability to work independently. Innovative mindset, willingness to learn new areas and adapt to change. Strong work documentation habits with and attention to detail and accuracy. Critical analytical thinking and problem-solving attitude. Keen sense of urgency and customer focus. Team player spirit. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing Preferred Skills Job Posting End Date 07/12/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R346609 Show more Show less

Are you a data-driven professional with a knack for business intelligence and sales analytics? Do you excel at transforming complex datasets into actionable insights that drive business success? If yes, Marconix is looking for a Business Analyst (Sales Analyst) to join our team! Location: Hyderabad Salary: Up to ₹3 LPA (CTC) Work Mode: Work from Office Why Join Us? Work with a fast-growing and innovative sales solutions company Hands-on experience in business intelligence and sales analytics Opportunity to work with top-tier clients and industry leaders Sales Data Management & Reporting Transform raw sales data into valuable business insights using BI tools (Tableau, Power BI, etc.). Develop and deploy robust reporting dashboards for tracking performance metrics. Manage ETL processes (Extract, Transform, Load) to streamline data flow. Analyze large datasets to identify market trends and business growth opportunities. Business Intelligence & Analytics Develop data-driven strategies to optimize sales performance. Build predictive models to forecast sales trends and customer behavior. Conduct deep-dive analysis on business performance and suggest data-backed improvements. Work closely with stakeholders to understand their requirements and provide customized analytical solutions. Client & Team Management Act as the primary liaison between business and technical teams. Gather and analyze business requirements to enhance operational efficiency. Provide strategic recommendations to clients and internal teams based on data insights. What We Expect from You: Educational Background:Tech / BE / BCA / BSc in Computer Science, Engineering, or a related field. Experience: Relevant: 2+ years as a Business Analyst focusing on sales reporting & analytics Must-Have Skills: Strong expertise in BI tools (Tableau, Power BI, Oracle BI) Hands-on experience in ETL processes (Informatica, Talend, Teradata, Jasper, etc.) Solid understanding of data modeling, data analytics, and business reporting Excellent client management & stakeholder communication skills Strong analytical and problem-solving mindset Bonus Skills (Preferred but Not Mandatory): Experience in sales process automation & CRM analytics Exposure to AI & Machine Learning in sales analytics Show more Show less

Company Overview Viraaj HR Solutions is a dynamic recruitment agency dedicated to connecting organizations with top-tier talent across various industries. We pride ourselves on our commitment to understanding our clients' unique needs and delivering tailored solutions that drive their success. Our mission is to cultivate a culture of excellence and integrity, and we seek talented individuals who are passionate about contributing to organizational growth. Job Title Informatica CDI (Cloud Data Integration) Location: On-site - India Role Responsibilities Develop and implement Informatica Cloud Data Integration solutions. Design ETL processes to facilitate effective data movement. Collaborate with stakeholders to gather requirements and create data integration strategies. Monitor data quality and performance of integration jobs. Troubleshoot and resolve ETL issues and data discrepancies. Create and maintain documentation for data integration processes. Perform data modeling to enhance data access and usability. Utilize SQL to extract, transform, and load data as needed. Develop dashboards and reports to provide insights from integrated data. Ensure data governance and compliance with industry standards. Work on data migration projects from various sources to the cloud. Assist in the configuration and maintenance of cloud infrastructure. Participate in code reviews and contribute to best practices. Train end-users on data integration tools and processes. Stay updated with the latest trends in cloud data integration technologies. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Minimum 3 years of experience in Informatica CDI or related roles. Proficiency in Cloud Data Integration and ETL tools. Strong SQL skills and experience in database management. Knowledge of data modeling techniques and data governance principles. Experience with cloud platforms like AWS, Azure, or Google Cloud. Solid troubleshooting skills and problem-solving abilities. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and manage multiple tasks simultaneously. Certifications in Informatica or related technologies are a plus. Familiarity with Agile methodologies is preferred. Understanding of data privacy regulations and best practices. Experience with scripting languages like Python or Shell scripting is beneficial. Demonstrated ability to learn new technologies quickly. Strong commitment to professional development and continuous learning. Skills: troubleshooting,data quality,cloud platforms (aws, azure, google cloud),collaboration,problem-solving,etl processes,agile methodologies,data modeling,sql,analytical skills,cloud infrastructure,sql proficiency,informatica cloud data integration,data governance,scripting languages (python, shell scripting),data integration,communication,cloud data integration Show more Show less

Job title: Digital Data Modeler About The Job Sanofi is hiring key contributors to onboard Sanofi Digital transformation journey and to embrace the Digital capabilities. SAP systems are a key component of this digital transformation. SANOFI has an important number of SAP systems, and one of the main objectives of the SAP HUB is to extract, union and provide data of these SAPs for the different consumers (Data Foundations, Data Products, IA, Reporting, …). The ideal candidate should possess a minimum of 2 years of experience in data modelling, data engineering, with also a knowledge on SAP functional aspects. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main responsibilities: - Demonstrated experience in data warehouse modeling and optimization Knowledge of relational and non-relational databases, data architecture computer systems, including SQL language Assist, guide and share gained knowledge with Data Modelers and Data Architects Excellent presentation, communication, and organizational skills Strong attention to detail Experience working cross-functional teams to support solution of complex data architecture problems Ability to work both independently and as part of a team Demonstrated ability to learn new data and software engineering technologies in short amount of time Understanding of agile/scrum development processes and concepts Able to work in a fast-paced, constantly evolving environment and manage multiple priorities Able to work in matrix organization Strong technical analysis and problem-solving skills related to data and technology solutions Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders Pragmatic and capable of solving complex issues, with technical intuition and attention to detail Service-oriented, flexible, and approachable team player Knowledge of SAP About You Functional Requirements & Qualifications: Demonstrated experience in data warehouse modeling and optimization Knowledge of relational and non-relational databases, data architecture computer systems, including SQL language Assist, guide and share gained knowledge with Data Modelers and Data Architects Excellent presentation, communication, and organizational skills Strong attention to detail Experience working cross-functional teams to support solution of complex data architecture problems Ability to work both independently and as part of a team Demonstrated ability to learn new data and software engineering technologies in short amount of time Understanding of agile/scrum development processes and concepts Able to work in a fast-paced, constantly evolving environment and manage multiple priorities Able to work in matrix organization Strong technical analysis and problem-solving skills related to data and technology solutions Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders Pragmatic and capable of solving complex issues, with technical intuition and attention to detail Service-oriented, flexible, and approachable team player Knowledge of SAP Technical Requirements & Qualifications: Bachelor’s Degree or equivalent in Computer Science, Engineering, Data Modeling or relevant field Familiar of data model requirements of PowerBi or similiar applications Experience in data modeling, data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Informatica/IICS) Understanding of data structures and algorithms Good knowledge of SQL and relational and non-relational databases technologies/concepts Experience with SAP is a plus Experience with cloud-based data platforms (Snowflake is a plus). Experience working with data models and query tuning. Languages- Fluent spoken and written English. Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

Job Title: Data Analyst - Python Job Classification : Full-Time Work Location : Work-From-Office (Hyderabad) Education : BE-BCS, B-Tech-IT, MCA or Equivalent Experience Level : 3 Years (2+ years’ Data Analysis experience) Company Description Team Geek Solutions (TGS) is a global technology partner based in Texas, specializing in AI and Generative AI solutions, custom software development, and talent optimization. TGS offers a range of services tailored to industries like BFSI, Telecom, FinTech, Healthcare, and Manufacturing. With expertise in AI/ML development, cloud migration, software development, and more, TGS helps businesses achieve operational efficiency and drive innovation. Position Description We are looking for a Data Analyst to analyze large amounts of raw information to find patterns that will help improve our products. We will rely on you to build data models to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Your task is to gather and prepare data from multiple sources, run statistical analyses, and communicate your findings in a clear and objective way. Your goal will be to help our company analyze trends to make better decisions. Qualifications/Skills Required 2+years’ experience in Python, with knowledge of packages such as pandas, NumPy, SciPy, Scikit-learn, Flask Proficiency in at least one data visualization tool, such as Matplotlib, Seaborn and Plotly Experience with popular statistical and machine learning techniques, such as clustering, SVM, KNN, decision trees, etc. Experience with databases, such as SQL and MongoDB Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Knowledge of python libraries OpenCVand TensorFlow is a plus Job Responsibilities /Essential Functions Identify, analyze, and interpret trends or patterns in complex data sets Explore and visualize data Use machine learning tools to select features, create and optimize classifiers Clearly communicate the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations. Skills: pandas,business insights,numpy,plotly,scipy,python,mongodb,analytical skills,tensorflow,statistics,machine learning,sql,data,opencv,seaborn,data visualization,matplotlib,scikit-learn,flask Show more Show less

Role Description Job Overview: UST is seeking a skilled Snowflake Engineer with 5 to 7 years of experience to join our team. The ideal candidate will play a key role in the development, implementation, and optimization of data solutions on the Snowflake cloud platform. The candidate should have strong expertise in Snowflake , PySpark , and a solid understanding of ETL processes, along with proficiency in data engineering and data processing technologies. This role is essential for designing and maintaining high-performance data pipelines and data warehouses , focusing on scalability and efficient data storage, with a specific emphasis on transforming data using PySpark . Key Responsibilities Snowflake Data Warehouse Development: Design, implement, and optimize data warehouses on the Snowflake cloud platform. Ensure the effective utilization of Snowflake’s features for scalable, efficient, and high-performance data storage and processing. Data Pipeline Development: Develop, implement, and optimize end-to-end data pipelines on the Snowflake platform. Design and maintain ETL workflows to enable seamless data processing across systems. Data Transformation with PySpark: Leverage PySpark for data transformations within the Snowflake environment. Implement complex data cleansing, enrichment, and validation processes using PySpark to ensure the highest data quality. Collaboration: Work closely with cross-functional teams to design data solutions aligned with business requirements. Engage with stakeholders to understand business needs and translate them into technical solutions. Optimization: Continuously monitor and optimize data storage, processing, and retrieval performance in Snowflake. Leverage Snowflake’s capabilities for scalable data storage and data processing to ensure efficient performance. Required Qualifications Experience: 5 to 7 years of experience as a Data Engineer, with a strong emphasis on Snowflake. Proven experience in designing, implementing, and optimizing data warehouses on the Snowflake platform. Expertise in PySpark for data processing and analytics. Technical Skills: Snowflake: Strong knowledge of Snowflake architecture, features, and best practices for data storage and performance optimization. PySpark: Proficiency in PySpark for data transformation, cleansing, and processing within the Snowflake environment. ETL: Experience with ETL processes to extract, transform, and load data into Snowflake. Programming Languages: Proficiency in Python, SQL, or Scala for data processing and transformations. Data Modeling: Experience with data modeling techniques and designing efficient data schemas for optimal performance in Snowflake. Skills Snowflake,Pyspark,Sql,Etl Show more Show less

About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team, who upholds a vision of relentless innovation while being a force for good. For more details, check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization, delivering business value, service excellence, and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS). For more details, check out https://www.generalmills.co.in. We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA, and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link Cybersecurity is a critical part of the Digital and Technology function. We leverage the NIST Cybersecurity Framework, key cybersecurity partners, and external benchmarking to guide the development of our program. Cybersecurity risk is managed as part of enterprise risk at GMI. We assess technical cybersecurity risks and vulnerabilities and provide recommendations to mitigate them. We design and manage cybersecurity infrastructure, identities, and controls, and we monitor for any threats and ensure a timely and comprehensive response to cyberattacks. We also measure and report compliance to cybersecurity policies and standards. Purpose of the role Cyber Security team of General Mills India Centre is looking for a passionate and enthusiastic individual. As a CSIRT Analyst responsible for day-to-day monitoring and deep dive investigations of the security events on 24/7 basis by ensuring alignment to SLAs. Individual should bring in proactive approach to solve complex investigations and analyze malware through GMI/open-source tools. Key Accountabilities Monitor and investigate cybersecurity events Monitor SIEM and other tools for potential threats, intrusions, or compromises Demonstrate ability to work in a 24x7 facility in rotating shifts. Thorough knowledge and adequate experience in Security Incident & Event Management (SIEM) system and SOAR Technologies. Good understanding of networking fundamentals & protocols. Good understanding of Cyber Security principles and MITRE framework. Deep understanding of Phishing tactics and Windows endpoint investigation. Analyze malware in a sandbox environment to understand the impact Achieve containment time SLA defined. Escalate cybersecurity events according to General Mills' Cybersecurity Incident Response Plan and follow the escalation path. Quick learner, good analytical skills, and action-oriented. Agility in incident response. Maintain quality and consistency Perform peer review of events as a part of the audit requirement. Participate in projects to streamline processes. Participate in Detection fine-tunings. Make timely and high-quality decisions. Collaborate across Cyber and different functional verticals. Create better solutions through tireless curiosity and innovation, stretching beyond your area of expertise. Must-have Technical Skills And Experience Demonstrate ability to work in 24x7 facility in rotating shifts Demonstrated ability to get things done both independently and in a collaborative, team-oriented environment. Understanding of networks, network security (IDS/IPS/Firewall, etc.), SIEM, SOAR, and Endpoint detection and response (EDR). Hands-on experience in incident response processes and tools to detect, analyze, respond, and contain cybersecurity threats quickly and correctly Understanding of forensic techniques used to analyze threats (including malware), to extract key indicators of attack and compromise Knowledge of tools and techniques used by attackers to gain unauthorized access to systems Good understanding of Cyber Security principles and MITRE framework. Deep understanding of Phishing tactics and Windows endpoint investigation. Analyze malware in a sandbox environment to understand the impact Minimum Qualifications Education – Full-time graduation from an accredited university 2+ years of relevant work experience Technologies – SIEM knowledge, networking protocols, Cyber principles. Willingness to work a rotational shift schedule to support a 24/7 operation Good communication skills. Preferred Qualifications Certified Ethical Hacker, CompTIA Cybersecurity Analyst, EC-Council Certified Incident Handler Certifications Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. 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About the Role We are looking for a skilled and motivated Data Analyst with 2–5 years of experience to join our team. In this role, you will work closely with the product team to support strategic decision-making by delivering data-driven insights, dashboards, and performance reports. Your ability to transform raw data into actionable insights will directly impact on how we build and improve our products. Key Responsibilities Collaborate with the product team to understand data needs and define key performance indicators (KPIs) Develop and maintain insightful reports and dashboards using Power BI Write efficient and optimized SQL queries to extract and manipulate data from multiple sources Perform data analysis using Python and pandas for deeper trend analysis and data modeling Present findings clearly through visualizations and written summaries to stakeholders Ensure data quality and integrity across reporting pipelines Contribute to ongoing improvements in data processes and tooling Required Skills & Experience 2–5 years of hands-on experience as a Data Analyst or in a similar role Strong proficiency in SQL for querying and data manipulation Experience in building interactive dashboards with Power BI Good command of Python , especially with pandas for data wrangling and analysis Experience with Databricks or working with big data tools Understanding of Medallion Architecture and its application in analytics pipelines Strong communication and collaboration skills, especially in cross-functional team settings Good to Have Familiarity with data engineering practices , including: Data transformation using Databricks notebooks Apache Spark SQL for distributed data processing Azure Data Factory (ADF) for orchestration Version control using Git Exposure to product analytics, cohort analysis, or A/B testing methodologies Interested candidates please share your resume with balaji.kumar@flyerssoft.com Show more Show less

Experience : 2.00 + years Salary : INR 420000-550000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRM, Multi-tasking, cold calling, Communication Skills, Lead Generation, LinkedIN Sales Navigator, Digital Marketing, Email Campaigns, Apollo.io, Lusha Uplers is Looking for: Shift - 7.30 pm to 4.30 am (Night shift) 5 days working Remote Roles and Responsibilities : Must have a minimum 2 yr. Experience in lead generation using LinkedIn Sales Navigator.(Experience Required- 2-4 yrs.) Responsible for extracting leads using Google, LinkedIn Sales Navigator, Apollo, Lusha, and other similar tools, as well as engaging with prospects on LinkedIn and via email. Appointment Setting: Scheduling appointments with qualified leads who have expressed interest in our service. You may need to coordinate with sales representatives or account executives to ensure a smooth handoff. Lead Generation: Utilizing LinkedIn Sales Navigator, Apollo, Lusha, and other tools to identify potential leads and extract their contact information, such as email addresses and phone numbers. Database Management: Maintaining an organized and updated database of leads, including accurate contact details and relevant information. CRM Management: Updating and maintaining accurate records of interactions, call outcomes, and any relevant information within the Customer Relationship Management (CRM) system. This ensures that the sales team has access to up-to-date and relevant information when engaging with leads. Email Campaigns: Crafting compelling email campaigns to reach out to leads and introduce them to your product or service. These emails should be personalized, engaging, and focused on generating interest and qualified appointments. LinkedIn Engagement: Actively engaging with potential leads on LinkedIn by sending connection requests, personalized messages, and InMail’s. Your goal is to build relationships, establish credibility, and promote your product or service. Relationship Building: Building and maintaining relationships with leads through consistent and thoughtful follow-up. Providing valuable information, industry insights, or relevant content can help establish trust, credibility and increase the likelihood of conversion in the long run. Product/Service Knowledge: Acquiring a deep understanding of company's product or service offerings to effectively communicate their value propositions to potential leads. Qualifying Leads: Conducting initial qualifying conversations to assess the fit between the leads needs and your product or service. This involves asking probing questions and gathering relevant information to determine if there is a potential for a qualified appointment. Reporting and Metrics: Tracking and documenting your activities, results, and key performance indicators (KPIs), such as the number of leads generated, appointments set, conversions, and revenue generated. Providing regular reports and updates to management. Continuous Learning: Staying up-to-date with industry trends, competitive landscape, and best practices in lead generation and sales. Actively seeking feedback and incorporating it into your strategies to improve performance. Cold Calling: Initiating outbound calls to prospects based on the leads generated through your research and databases. Phone Scripting: Developing and using effective phone scripts that outline key talking points and help guide the conversation with prospects. Phone scripts should be personalized and tailored to address the specific pain points and needs of the leads. Call Monitoring and Recording: Maintaining accurate records of calls made, including notes on conversations, objections raised, and any important information gathered during the call. This helps to track progress, refine approaches, and provide valuable insights to the sales team. Active Listening and Objection Handling: Actively listening to prospects during phone calls, understanding their concerns or objections, and addressing them effectively. Having a thorough understanding of the product or service enables you to provide relevant information and overcome objections to move the conversation forward. Reminder Calls or Emails(Follow-Up Calls/Email Follow-Ups): I: Sending reminder emails or making reminder calls to leads who have expressed interest but have not taken the desired action, such as scheduling an appointment or providing additional information. Reminders serve as gentle prompts and can help re-engage leads who may have been busy or overlooked previous communications. Persistence and Persistence Tracking: Maintaining a structured approach to follow-ups and persistently engaging with leads until a final resolution is reached. Keeping track of follow- up attempts, responses, and outcomes in your CRM system or tracking tool is essential for effective follow-up management. Adjusting Follow-Up Strategies: Continuously assess and adjust your follow-up strategies based on the responses and feedback received from leads. Experimenting with different approaches, timing, and communication channels can help optimize your follow-up efforts and improve conversion rates. CDD: Research the client and company, create a Client Discovery Document (CDD) for all the appointments, Ensuring that all possible data points in the Client Discovery Document (CDD) are updated for the scheduled calls. Requirements : Business Development, Sales Management, CRM Management, proposal documentation, Excellent communication and negotiation skills, growth hungry. Experience in selling digital marketing services for customers based out of the US. Should have Experience doing cold calling and generating leads in US market. Sales experience in the US market is a must - Mandatory Requirement. Experience working on tools like Sales Navigator, Upwork Etc. Experience with CRM software like HubSpot, Click Up Etc. Proficiency in MS Office. Excellent multi-tasking skills Ability to prioritize tasks Ability to present and explain ideas to a variety of audiences Ability to sell value and create credibility Ability to maintain a high level of professionalism and confidentiality Enthusiastic to build good relationships with people Ability to work well in a team environment Tracking new clients in various industries, placing proposals, and getting agreements. Process and manage paperwork and correspondence related to all clients. Understand clients needs by doing client assessments. Provide detailed client documentation. Hands-on experience in all elements of the sales process from Approaching Leads, Scheduling Interviews, Creating Proposals, negotiations and closings. Arrange/Prepare proposals for clients. Achieve Sales Targets via Outbound Leads. Fixing Prospect meetings & Giving Presentations (If needed). Requirements Gathering and understanding Nurturing clients from scratch to maturity. Support the team with other responsibilities as required. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you. Responsibilities Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; Collect, analyze and document user requirements; Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; Communicate with team members regarding projects, development, tools, and procedures; and Provide end-user support including setup, installation, and maintenance for applications Qualifications Bachelor's Degree in Computer Science, Data Science, or a related field; 3+ years of experience in Data Engineering; Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred; Knowledge of Python is preferred; Knowledge of REST API; Basic knowledge of SQL Server databases is required; Knowledge of C#, Azure development is a bonus; and Excellent analytical, written and oral communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Medpace Perks Flexible work environment Competitive compensation and benefits package Competitive PTO packages Structured career paths with opportunities for professional growth Company-sponsored employee appreciation events Employee health and wellness initiatives Awards Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What To Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps. Show more Show less

Position Summary This position shall be responsible for developing the software for Embedded system, both front and back end. Work You’ll Do Develop software for the embedded system & integrate the IoT Edge device with machine controls to capture data over different protocols. Monitor and optimize the performance of IoT systems to ensure high reliability and efficiency. Identify and address potential issues related to system performance and data accuracy. Collect, preprocess and analyse large volumes of IoT data from various sources/equipment, maintaining data accuracy & security Using statistical methods and data mining techniques extract meaningful patterns and insights. Create algorithms and models using IoT data that can forecast trends, detect anomalies, and predict failures Coordinate with customers (internal & external) to troubleshoot any problem with IoT system and provide solution as well as take actions for horizontal deployment wherever required. Provide training to customers and address their requirement/queries. Work closely with cross-functional team such as machine design engineers, software developers, data scientists to understand & develop the solutions based on inputs and ensure that it meets the requirement Team This position will be a part of the IoT solution development team based at Ahmedabad Basic Qualifications Bachelor’s degree in EC/ IC /Computer/ IT with 2-3 years of experience in IoT solution development. Experience in front & back end software, various data analysis tools & database management is necessary. Who We Are Milacron is a global leader in the manufacture, distribution and service of highly engineered and customized systems within the $27 billion plastic technology and processing industry. We are the only global company with a full-line product portfolio that includes hot runner systems, injection molding, extrusion equipment. We maintain strong market positions across these products, as well as leading positions in process control systems, mold bases and components, maintenance, repair and operating (“MRO”) supplies for plastic processing equipment. Our strategy is to deliver highly customized equipment, components and service to our customers throughout the lifecycle of their plastic processing technology systems. EEO: The policy of Milacron is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. We are committed to being an Equal Employment Opportunity (EEO) Employer and offer opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at recruitingaccommodations@milacron.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

📊 Data Analyst Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is an edtech startup focused on delivering industry-aligned, project-based virtual internships . Our Data Analyst Internship is designed to equip students and recent graduates with the analytical skills and practical tools needed to work with real-world data and support business decisions. 🚀 Internship Overview As a Data Analyst Intern , you will work on live projects involving data collection, cleaning, analysis, and visualization . You will gain hands-on experience using tools like Excel, SQL, Python , and Power BI/Tableau to extract insights and create impactful reports. 🔧 Key Responsibilities Gather, clean, and organize raw data from multiple sources Perform exploratory data analysis (EDA) to uncover patterns and trends Write efficient SQL queries to retrieve and manipulate data Create interactive dashboards and visual reports using Power BI or Tableau Use Python (Pandas, NumPy, Matplotlib) for data processing and analysis Present findings and recommendations through reports and presentations Collaborate with mentors and cross-functional teams on assigned projects ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, IT, Statistics, Economics , or a related field Basic knowledge of Excel, SQL , and Python Understanding of data visualization and reporting concepts Strong analytical and problem-solving skills Detail-oriented, with good communication and documentation abilities Eagerness to learn and apply analytical techniques to real business problems 🎓 What You’ll Gain Practical experience in data analysis, reporting, and business intelligence Exposure to industry tools and real-life data scenarios A portfolio of dashboards and reports to showcase in interviews Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance Show more Show less

Designation : Lab Technician Location : 175, Nsk salai (opp. to vadapalani depo), Vadapalani, Chennai. Salary : Rs. 12,000 for fresher and negotiable as per the experience. Roles and responsibilities : Creation and Maintenance of Lab Bills. Collect sample from patients. Process the samples by taking necessary tests and extract the results. Create a report containing the results arrived from the tests taken. Candidate Requirements : Dmlt/ B.sc mlt or any equivalent course. Good knowledge/experience in handling lab equipments. Basic computer knowledge. Fluency in Tamil and English. Both Fresher and experienced can apply. Contact Details : Phone no: 9962577180 Email-id: svijayaraghavan0204@gmail.com Job Types: Full-time, Permanent Pay: From ₹12,000.00 per month Benefits: Provident Fund Schedule: Day shift Morning shift Ability to commute/relocate: Vadapalani, Chennai, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Education: Diploma (Preferred) Experience: total work: 1 year (Preferred) Language: Tamil, english. (Preferred) Work Location: In person

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

About us Performance Launchpad is a full-service Performance Marketing and Brand Advertising agency with a presence in Singapore and India. We specialize in elevating brands through customer acquisition strategies tailored to each client's goals. Our dynamic, transparent, comprehensive solutions help brands navigate the ever-evolving digital landscape. Your Role As an Executive – Business Development, you’ll be the bridge between our clients and internal teams. Your mission? Drive campaign success, ensure client satisfaction, and grow revenue opportunities. Key Responsibilities  Account Management: Handle day-to-day communication, address client needs, and deliver outstanding service.  Campaign Execution: Collaborate with internal teams to set up, launch, and optimize affiliate marketing campaigns.  Performance Analytics: Analyze campaign metrics and deliver actionable insights to maximize ROI.  Client Reporting: Share regular, transparent updates on campaign progress and results.  Relationship Building: Build lasting client relationships focused on long-term success.  Problem Solving: Proactively tackle challenges and find effective solutions.  Upselling Opportunities: Identify areas for growth, suggest relevant services, and support revenue expansion. What We’re Looking For  Experience: 0–6 months in client servicing, account management, or a related affiliate/performance marketing role.  Industry Knowledge: Basic understanding of affiliate marketing, tracking tools, and campaign strategies.  Analytical Mindset: Ability to interpret data and extract key insights.  Client-First Attitude: Strong multitasking, time management, and relationship skills.  Communication: Clear, concise, and confident in both written and verbal communication.  Problem Solver: A go-getter with critical thinking abilities and a proactive approach. Preferred Qualifications  Prior experience with digital marketing agencies or affiliate networks.  Awareness of digital advertising trends and tools.  Comfortable in a fast-paced, goal-oriented environment. What You’ll Get  💰 Competitive salary + performance incentives  🌟 Exposure to top brands and marketing campaigns  📈 Career growth in a dynamic, digital-first agency  🧠🤝🧠 Collaborative team environment Ready to Launch Your Career with Us? Apply now and be part of a team that’s redefining digital performance marketing. Show more Show less

Key Responsibilities: Develop and execute credit risk strategies for consumer lending products such as Consumer durables or credit cards. Define and optimize credit approval and credit limit assignment policies. Monitor and ensure adherence to vintage risk levels within the company’s risk appetite. Leverage alternative data sources, including credit bureau, SDK, telecom, and geo-data, to enhance underwriting strategies. Design, implement, and refine application scorecards for effective risk assessment. Extract, analyze, and visualize data to support data-driven decision-making across the organization. Identify key risk drivers and monitor trends to mitigate potential risks proactively. Collaborate with risk systems teams to implement underwriting changes seamlessly. Prepare, document, and communicate policy updates effectively to relevant stakeholders. Required Skills & Experience: Proven experience in credit risk management within the consumer lending industry. Proficiency in SQL, Excel, and Tableau for data analysis, reporting, and visualization. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

SEO/SEM Specialist – Role Description We are seeking an experienced and highly skilled SEO/SEM Specialist (L3/L4) with a proven track record of driving impactful search engine marketing and optimization strategies. The ideal candidate will not only manage SEO activities but also oversee the full SEM strategy and execution. This role requires expertise in optimizing performance across all major search networks while also guiding junior team members and collaborating with senior leadership to meet overarching business objectives. As an SEO/SEM leader, you will be responsible for the strategy, execution, and optimization of SEO and SEM initiatives that drive business growth and maximize ROI. Key Responsibilities: • Strategic Leadership: Develop, implement, and oversee comprehensive SEO and SEM strategies to meet business goals, ensuring alignment with overall marketing and growth strategies. • Team Leadership: Lead, mentor, and develop junior SEO/SEM staff. Foster a collaborative team environment to drive continuous learning and optimization best practices. • Advanced Data Analysis: Utilize advanced analytics tools to analyze large datasets and extract insights that shape SEO/SEM strategy, ensuring optimal ROI across campaigns. • Campaign Management: Oversee all SEM campaigns, ensuring performance targets are met, while staying on budget. Manage PPC campaigns across Google, Yahoo, Bing, and social media platforms (LinkedIn, Twitter, Facebook, etc.). • SEO Performance Oversight: Oversee ongoing keyword research, on-page optimization, and link building strategies. Conduct competitor analysis and stay ahead of SEO trends and algorithm updates. • Cross-Department Collaboration: Work with product, content, and development teams to ensure SEO best practices are incorporated into website development and content creation. • Lead Optimization: Lead conversion optimization strategies, using advanced techniques to drive website traffic and improve conversion rates. • Reporting & Strategy Refinement: Report on SEO/SEM performance at a high level to senior leadership, advising on key strategy adjustments and improvements. • Guest Blogging & Partnerships: Manage and scale guest blogging efforts and other external content partnerships, ensuring sustained improvements in domain authority and off-page SEO. • Innovation & Trends: Stay at the forefront of industry trends, continuously evaluating new SEO/SEM tools, techniques, and tactics that align with company goals. Must-Have Requirements: • Proven Experience: 5+ years of SEO/SEM experience, including extensive hands-on experience in developing and executing complex SEO and SEM strategies that deliver measurable results. • Advanced Tools Expertise: In-depth knowledge of SEO/SEM tools including Ahrefs, SEMRush, Ubersuggest, Keyword Planner, SEO Audit Tools, Google Analytics, Google Tag Manager, Hotjar, and similar platforms. • Strategic Thinker: Proven ability to design long-term SEO/SEM strategies, measure their success, and continuously optimize for performance. • Leadership Experience: Experience leading and mentoring SEO/SEM teams, with the ability to collaborate with senior management and across departments. • SEO & SEM Expertise: Proven success with both organic and paid search campaigns, including SEM platforms (Google, Bing, Yahoo), social media advertising (LinkedIn, Twitter, Instagram), and retargeting strategies. • In-depth Analytics Skills: Strong ability to analyze data using Google Analytics, Omniture, NetInsight, WebTrends, and similar tools. Comfortable with advanced reporting and presenting insights to senior stakeholders. • Advanced A/B Testing: Extensive experience conducting A/B and multivariate testing to optimize user engagement, conversions, and SEM ROI. • Content Strategy: Deep understanding of SEO content creation and optimization, including advanced knowledge of Wikipedia article creation and optimization. • Technical Knowledge: Solid understanding of web technologies (HTML, CSS, JavaScript) and the ability to work with development teams to implement SEO best practices. • SEO & SEM Certifications: BS/BCom/MCom/BE/MSc degree with Digital Marketing or relevant certifications. • Up-to-date Industry Knowledge: Proven ability to stay ahead of SEO and SEM industry trends, Google updates, and algorithm changes. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less