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PythonWhat you will do:
- Creating and updating proprietary models/spreadsheets for the prospective investments
- Analysing financial information and conducting analytic and strategic research.
- Inputting data into proprietary financial models and ensuring the accuracy of data and output based on the data.
- Creating Automations using VBA and other tools wherever needed.
- Compiling historical data in respect of stocks and companies from publicly available sources.
- Updating and maintaining databases to track relevant financial, economic or other indicators which may be relevant to the sector and/or region under coverage
- Assisting with other company and industry related analysis as may be required by the Fund Manager
- Monitoring relevant market news and information
- Assisting with the preparation and development of research reports, industry primers and marketing presentations.
- Financial Modelling Experience is a must and a person should be excellent at this. This is the main part of the job along with research on the Financial Numbers
- Excellent understanding of Financial Statements and Accounting Standards.
- Qualified CA
- Financial Statements Audit experience preferred
- The ability to work independently and proactively
- Person should be passionate for Equities
- Strong proficiency in Advanced Excel, VBA.
- Proficiency in data science tools and languages (SQL and Python) will be considered as a great positive but not a necessary requirement
- Strong Sales Leadership Profile
- Mandatory (Experience 1) – Must have 6+ years of B2B Sales experience
- Mandatory (Experience 2) – Must have 2+ experience in SaaS, ERP, Garment-Tech, or Textile Manufacturing domains
- Mandatory (Experience 3) – Must have a proven track record of revenue target achievement and closing large enterprise deals (deal size of ₹50L+ ARR)
- Mandatory (Experience 4) – Must have a Minimum 1+ years experience of managing field sales teams across regions
- Mandatory (Skills) – Must have experience in CXO-level stakeholder management, with strong communication and ROI-based sales pitching
Preferred
- Preferred (Experience) – Experience leading sales in manufacturing hubs or regional clusters with frequent travel exposure
- Preferred (Education) – NIIFT alumni preferred; open to strong performers from related fields.
Job Overview:
We are looking for a smart and proactive Business Development Executive with 1–2 years of experience in lead generation and B2B sales. You will be responsible for identifying potential clients, generating high-quality leads, and converting them into qualified opportunities through outreach, communication, and relationship building.
Key Responsibilities:
- Identify and research potential clients through LinkedIn, Google, directories, and B2B databases (LinkedIn, Sales Navigator, etc.)
- Run outbound campaigns via LinkedIn, cold email, and calls to generate interest.
- Qualify leads based on the ideal customer profile and buying intent.
- Maintain and update lead lists and activity in Google Sheets.
- Schedule discovery meetings and demos with qualified prospects.
- Present company offerings confidently and handle objections.
- Follow up with prospects and nurture them through the sales pipeline.
- Work closely with sales and marketing teams to align messaging and improve conversion.
Reporting & Coordination
- Track and report weekly lead and sales activity.
- Collaborate with internal teams to deliver a smooth handoff of warm leads to closers or account managers.
Requirements:
- 1–2 years of experience in B2B lead generation or business development.
- Familiarity with LinkedIn, Apollo, Sales Navigator, or similar outreach tools.
- Basic understanding of the sales funnel and buyer journey.
- Excellent written and verbal communication skills in English.
- Self-starter with strong follow-up skills and attention to detail.
- Comfortable working with sales targets and deadlines.
Responsibilities:
• Managing all Network equipment and ensuring uptime
• Attend the Incident Management calls.
• Create diagrams as per the requirements with respect to process and locations.
• Making configuration changes to devices, if any
• To keep updating the documents.
• Monitoring the network to determine capacity usage and escalate/ recommend necessary steps wit seniors.
• Resolution of network faults within the time
• Identifying LAN/WAN faults and resolving them through vendors providing maintenance services
• Updating documentation of the LAN, like IP address register, PC IDs, Router configurations, hardware, network diagrams as and when changes happen.
• Providing second level support for any network problems and troubleshooting the same in coordination with the vendor.
• Creation of external and internal networks
• Planning, implementation, and configuration of monitoring and maintenance network hardware and telecommunications links, including routers, switches, IDS, load-balancing, etc for expansions of network
• Implementation and maintenance of network architecture components for managed services, including OS installation hardening management, implementation and maintenance of network monitoring tool sets
• Establish and maintain a redundant network operations environment, including substantial software and hardware fail-over, monitoring and testing the configuration performance
• Manage proper testing of the network environment, including simulations, stress testing, and benchmarks for both preventive maintenance and reporting purposes
• Implementation and maintenance with consistent improvement of network security measures
• Installation of router switches and LAN /WAN equipment
- Interacting via various channels, such as live chat, emails, social media and direct calls
- Modifying sales pitches in response to customer demand
- Acquiring and retaining contact information databases
- Put forward suggestions in accordance with the requirements of the consumer
- Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action
- Must be comfortable with on-site shift
Job Description
Counseling the students over the study abroad options & training products of Jamboree.
Being a part of the Inside sales team, the incumbent will be required to ensure maximum on-spot closures from the prospective leads.
Making outbound calls on all the prospective leads generated through various sources.
Meeting weekly/monthly/annual sales targets.
Regular follow-ups with students and parents.
Timely updation of MIS and other dashboards
Desired Candidate Profile
Should have experience working in Education sector in a sales oriented profile where s/he was responsible for admissions/enrollment targets.
Should be comfortable working in a target-oriented role.
Willing to learn, sales acumen, good with numbers.
Self-starter, self -motivated.
Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
Hands-on experience with multiple sales prospecting techniques like cold
calling, cold emailing, and social outreach.
IT Service selling background
Hands-on with email campaign tools
Excellent communication and negotiation skills
Build long-term trusting relationships with prospects
Proactively seek new business opportunities in the market
Set up meetings or calls between (prospective) customers and solutions
team/Sales / BU
Contact target businesses, identify opportunities, qualify leads, and schedule
meetings for the North American Sales team
• Collaborate with sales team to develop and penetrate new accounts
• Collaborate with the marketing team to follow up on content marketing
campaigns
• Enter, update, and maintain Salesforce CRM information on leads, prospects,
and opportunities.
• Leverage ZoomInfo and other marketing databases to identify leads.
Experience in direct lead generation for North American B2B customers
• Excellent interpersonal, presentation, and communication skills (both written
and verbal)
• Proven cold-calling and appointment-setting skills including planning and
organizing
• Ability to quickly develop rapport and professional relationships with prospects
Superior listening, verbal, and written skills. Ability to understand prospects & engage them with clear messaging via email, social, and other online channels.
Duties and Responsibilities:
Contribute to and influence the direction of social media strategy
- Design and execute marketing campaigns
- Analyze and report on the search performance
- Provide an SEO perspective on content creation and social media
- Improve the SEO of all company sites
- Analysis of competitor campaigns
- Regular KPI reporting
- Work closely with the SEO, online marketing and affiliate marketing teams to help coordinate all integrated online output.
Should be able to work on Designing tools like Canva, Adobe Photoshop, Lightroom, and other digital marketing designing tool.
Website- http://cloudologic.com
Java
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