Data Engineer

Relationship Manager – Insurance Sales.

• Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained. 
• Achieving Sales Target
• Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills. 
• Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities. 
• Building and maintaining strong relationships with agents, providing support and addressing their needs. 
• Tracking agent performance, identifying areas for improvement.
• Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability. 
• Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network. 
•  

Required skills

• Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
• Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
• Basic computer knowledge and statistical analysis

SR Accounts Receivable:

1 - Processing accounting receivables and incoming payments in compliance with financial policies and procedures

2 - Performing day to day financial transactions, including verifying, classifying, computing, posting and recording accounts receivables' data

3 - Preparing bills receivable, invoices and bank deposits

4 - Presenting Receivable MIS to the stakeholder’s

5 - Evaluating Receivable MIS & action course for recovery

6 - Clearing B2B Primary/Secondary/Tertiary claims on regular intervals

7 - Approving Invoices of all B2B Customers on regular basis

8 - Reconciling Customer accounts every month

Must haves -

1.Creating MIS

2.Reports

3.Advanced excel

Note : Looking from FMCG companies

End - End Digital marketing Industry experience are mandatory.

Job Summary:

We are seeking an experienced and passionate Digital Marketing Trainer to join our team and train students/professionals in digital marketing concepts and tools. The ideal candidate will have hands-on experience in digital marketing and a strong ability to communicate, mentor, and inspire learners.

Key Responsibilities:

• Deliver engaging and practical training sessions on digital marketing topics such as:
• SEO (Search Engine Optimization)
• SEM (Search Engine Marketing) / Google Ads
• Social Media Marketing (SMM)
• Email Marketing
• Web Analytics (Google Analytics, etc.)
• Content Marketing
• Affiliate and Influencer Marketing
• Develop training materials, including presentations, handouts, and assessments.
• Provide mentorship and career guidance to learners.
• Stay updated with the latest digital marketing trends and tools.
• Conduct workshops, live projects, and case study discussions.
• Evaluate student performance and provide feedback.

Required Skills & Qualifications:

• Bachelor’s degree in Marketing, Communications, or a related field.
• 2+ years of hands-on experience in digital marketing.
• Strong knowledge of tools like Google Ads, Google Analytics, Facebook Ads Manager, SEMrush, HubSpot, Mailchimp, etc.
• Prior teaching/training experience is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex topics and engage learners.

Preferred Certifications (Optional but a Plus):

• Google Ads Certification
• HubSpot Inbound Marketing Certification
• Facebook Blueprint Certification
• Digital Marketing Institute (DMI) or equivalent

Responsibilities:

• Onboarding and Training:
• Guide new customers through the onboarding process, ensuring a smooth and efficient implementation.
• Conduct training sessions and provide educational resources to help customers maximize the value of our products/services.
• Relationship Management:
• Build and maintain strong, long-term relationships with assigned customers.
• Serve as the primary point of contact for customer inquiries and concerns.
• Proactively engage with customers to understand their needs and challenges.
• Customer Advocacy:
• Act as the voice of the customer within the organization, providing feedback to product and development teams.
• Identify opportunities to improve the customer experience and advocate for customer-centric solutions.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

Your Tasks:

• Participate in all aspect of operation and application support.
• Work primarily in Java-on-Java Spring and web frameworks like Bootstrap and Vue.js.
• Engage and collaborate across time zones with different front-end and back-end developers.
• Working closely with your teammates on knowledge sharing and experience build-up.
• Drive development best practices with your teammates to deliver high quality solutions. 

  Your profile:

• Bachelor’s degree in computer science, information technology, or engineering with strong communication skills.
• 4+ years of experience building large-scale software applications or web applications
• Strong knowledge of Full-Stack development with Java Spring Framework and established web frameworks Bootstrap, Vue.js, React or AngularJS.
• Experience of different data stores and search engine solutions like Apache Solr or Elasticsearch and designing and implementing API web services (RESTful and SOAP-based)
• Ability to work independently and collaboratively in a multidisciplinary team environment whiles providing operational support capability.