PPC Analyst

PinnacleU HR is a New-age recruitment startup that helps Startups and job seekers find the best fit for their needs. We have clients in various fields such as SaaS, L&D, Edtech, Travel, Consumer Electronics, Fintech, Logistics, AI platforms, etc.

Website- http://pinnacleu.in/ & rempact.com

Responsibilities:

1. Directing efforts in achieving revenue targets as indicated and providing optimum service to company clients by fulfilling their hiring needs in the given time frame

2. Coordinating between the candidates and the clients for the ease of the hiring manager

3. Maintaining candidate database

4. Developing contacts and building relationships with clients and prospects using internal and external networks

5. Soliciting new business by preparing and conducting presentations to prospective clients

Requirements:

1. 1+ year of experience

2. Must be self-motivated

3. Excellent written and verbal communication skills

4. Should be able passionate to learn and grow

5. Able to handle pressure, and good at multi-tasking

Who can apply

Anyone who is keen to grow and learn in the staffing business, loves talking to new people and appreciates an environment where you can not just earn but are mentored without Micromanagement.

Location- Jhandewalan, Delhi

Work from Office

Dear Candidate,

We are looking for Pre-Sales Lead.

Location: Delhi, Bangalore, Chennai

Exp:12+ yrs

Skills: should have Experience in ICT Domain.

JD:

Pre-Sales Team Lead - ICT Projects (Transit, Traffic, Urban, Power, Agriculture)

Role Overview: The Pre-Sales Consultant will lead the technical and solution aspects of proposals during the early stages of the sales process. The role involves identifying solution components, engaging with OEMs and vendors for pricing, preparing cost estimates and cash flow models, defining roles and pricing with consortium partners, and presenting the proposed solution to clients after winning bids. The goal is to ensure all proposed solutions are technically feasible, cost-effective, and aligned with client requirements, enabling a smooth transition from bidding to project execution.

Key Responsibilities:

Bid Management:

• Develop bid strategies aligned with business goals and client needs.
• Manage the entire bid process, including bid/no-bid decisions, proposal preparation, and submission.

Pre-Sales Cycle Management:

• Oversee the complete pre-sales cycle from lead identification to qualification and funnel management.

Stakeholder Collaboration:

• Collaborate with internal and external stakeholders for requirement gathering.
• Understand technical and business needs while ensuring alignment throughout the pre-sales process.

Proposal Preparation:

• Prepare detailed proposals covering technical specifications, pricing, and delivery timelines.
• Work with sales and project teams to ensure proposals meet client expectations.

Technical Solution Development:

• Identify software and hardware components for customized solutions.
• Ensure solutions meet technical standards and client requirements.

Vendor Management:

• Engage with OEMs and vendors for component pricing and contract negotiation.
• Assess vendor capabilities to ensure quality and reliability.

Commercial Acumen:

• Apply financial understanding to assess solution viability and profitability.
• Negotiate pricing and contract terms for revenue optimization and risk mitigation.

Cost Estimation and Analysis:

• Prepare cost estimates and cash flow models for proposed solutions.
• Conduct cost-benefit analyses to ensure competitiveness and profitability.

Consortium Management:

• Define roles, responsibilities, and pricing structures with consortium partners.
• Ensure smooth collaboration for project delivery.

Client Engagement:

• Present proposed solutions to clients, emphasizing technical advantages and business value.
• Address client queries and concerns effectively.

Opportunity Planning:

• Strategically plan and manage new opportunities for successful project initiation.

Market Research:

• Monitor technology trends, industry standards, and competitor solutions to inform pre-sales strategies.

Technical Expertise:

• Develop expertise in relevant technologies across transit, traffic, urban, power, and agriculture ICT domains.

Interdepartmental Coordination:

• Act as a liaison between technical, support, and business teams for a streamlined pre-sales process.

Profile Requirements:

• Education: Engineering degree with MBA (preferred).
• Experience: 12 years of experience in pre-sales and consulting roles.
• Industry Focus: ICT projects in Transit, Traffic, Urban, Power, and Agriculture domains.
• Skills: Strong technical knowledge, proposal writing, bid management, stakeholder collaboration, and client presentation skills.

Regards,

Minakshi Soni

• A​ ​hands-on full-stack engineer​​ to join the ​​core team​​ with experience in building products from scratch into large-scale platforms and ​solving business problems leveraging new and innovative technology
• Leverage the DevOps team to ensure the product can be built, deployed, and tested across all of the release cycles from dev to production 
• Strong grasp of modern security principles and how to apply them to applications
• Work with stakeholders (product owners, project managers, and scrum masters) to define and clarify requirements.
• Hands-on development with both front-end, middle-tier, and back-end programming
• Adhere to agile development methodologies
• Experience in Node.js, Javascript and Javascript libraries, NOSQL databases, Python etc

Hi All,

Greetings from LMV Financial Services Pvt. Ltd.!!!

We are hiring for Life Insurance Manager Profile .

Location- Banglore,Chennai, Vizag,Vijaywada,Anantpur,Rajamundra,Mysore,Mumbai & Pune Location.

Candidate must have prior working experiance in the same domain .

Must have handled or connections with multiple Agency Chennal.

Can able to work in open Market for Corporate DSA.

Salary- Based on Privious Package +Hike

Responsibilities:

• 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.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.