Data Engineer - Validation & quality

Key Responsibilities:

• Design, develop, test, and deploy custom Salesforce applications using Apex, Visualforce, and Lightning Components.
• Customize standard and custom objects, workflows, process builders, validation rules, and reports.
• Collaborate with business analysts and stakeholders to gather and analyze requirements.
• Integrate Salesforce with other systems using REST/SOAP APIs.
• Ensure best practices in Salesforce development, security, and performance.
• Perform data migration and management using tools like Data Loader or Workbench.
• Provide technical support and troubleshoot issues as needed.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Hands-on experience with Apex, Visualforce, SOQL, and Lightning Components.
• Understanding of Salesforce architecture, data model, and security.
• Familiarity with RESTful API integration.
• Strong problem-solving and communication skills.

Preferred (Nice to Have):

• Salesforce Platform Developer I/II Certification.
• Experience with CI/CD tools for Salesforce.
• Knowledge of Agile/Scrum methodology.

Benefits:

• Flexible working hours
• Remote work options
• Certification reimbursement
• Career development support

What We’re Looking For

• 3-5 years of Data Science & ML experience in consumer internet / B2C products.
• Degree in Statistics, Computer Science, or Engineering (or certification in Data Science).
• Machine Learning wizardry: recommender systems, NLP, user profiling, image processing, anomaly detection.
• Statistical chops: finding meaningful insights in large data sets.
• Programming ninja: R, Python, SQL + hands-on with Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar).
• Visualization skills: Redshift, Tableau, Looker, or similar.
• A strong problem-solver with curiosity hardwired into your DNA.
• Brownie Points
• Experience with big data platforms: Hadoop, Spark, Hive, Pig.
• Extra love if you’ve played with BI tools like Tableau or Looker.

Dear Candidate,

We have urgent requirement for Agency Manager at Mumbai Location.

Location: Mumbai

Experience: 7 yrs to 11 yrs

Channel : Agency

Role Description:

Team Leadership & Management: Recruit, train, mentor, and lead a high-performing team of insurance agents. Set clear sales targets and motivate your team to achieve and exceed them.

Sales & Business Development: Drive the sales of life insurance products. Identify new business opportunities and develop strategies to expand market reach and generate leads.

Customer Relationship Management: Foster strong, positive relationships with clients, ensuring their needs are met and they receive excellent service, leading to high customer satisfaction and retention.

Strategic Planning: Contribute to and implement business strategies that align with company objectives, focusing on sustainable growth and market penetration.

Compliance & Best Practices: Ensure your team adheres to all company policies, regulatory guidelines, and ethical sales practices.

Qualifications:

- Sales Management, Business Development, and Customer Relationship Management skills are essential.

- Excellent communication and interpersonal skills for effective interaction with agents, clients, and stakeholders.

- Strong Team leadership and motivation abilities with a proven track record of developing talent.

- Knowledge of life insurance products and regulations is a significant advantage.

- Any Master's/Bachelor's degree.

- Experience in the insurance industry is Must

Experience in Agency channel is Must

Regards,

Minakshi Soni

talent Acquisition Specialist.

We are looking for Franchise Sales Manager to lead our franchise expansion across multiple cities in India. The role involves extensive client interaction, legal documentation, and operational oversight.  

Key Responsibilities:

- Drive franchise sales and onboard new franchise partners across India.  

- Present the franchise model and conduct multiple meetings to close deals.  

- Handle end-to-end legal documentation and ensure timely agreement signings.  

- Manage complete setup of franchise stores, ensuring seamless execution.  

- Build strong relationships with franchise partners and guide them on ROI and break-even strategies.  

- Collaborate with the marketing team to align franchise sales efforts with promotional activities.  

- Provide regular progress reports to the Chief Executive Officer.  

- Travel frequently to meet clients, conduct site visits, and oversee franchise operations.  

Qualifications & Skills:

- Proven experience in franchise sales or a similar role.  

- Strong understanding of franchise models, ROI, and break-even analysis.  

- Excellent communication, negotiation, and relationship-building skills.  

- Proficiency in handling legal documentation and agreements.  

- Ability to work under pressure and achieve sales targets.  

- Willingness to travel extensively.  

- Strong organizational and project management abilities.

Company: Pixerize Inc.

Location: Remote (Preference for BC, Canada)

Job Type: Full-Time | Start Date: Immediate

About Pixerize

At Pixerize, we help businesses automate operations, elevate their digital presence, and dominate their market. We're a fast-growing solutions provider focused on systemized growth and global scalability. Our team thrives on strategy, simplicity, and execution.

Role Overview

We're hiring a Social Media Manager to lead and execute content scheduling and management across all digital platforms, including Instagram, Facebook, LinkedIn, X (Twitter), TikTok, YouTube Shorts, and email newsletters.

This role is key to maintaining a consistent brand voice, publishing high-quality content without errors, and ensuring we're on top of social trends that drive growth. We currently use Metricool as our central tool for managing, scheduling, and analyzing performance across platforms.

Responsibilities

• Manage content calendars and scheduling across all major social platforms.
• 
  
• Coordinate content publishing with internal creatives (writers, designers, video editors).
• 
  
• Schedule and manage branded newsletters and email campaigns.
• Monitor content trends and audience behavior to optimize strategy.

• Perform thorough QA checks—no errors, no exceptions.

• Use tools like Metricool, Zapier, or Hootsuite to automate workflows.

• Track KPIs and report engagement metrics weekly.

KPIs & Performance Metrics

• Zero content errors (grammar, design, links, formatting).

• Timely, consistent publishing aligned with brand goals.

• Growth in reach, engagement, and follower base.

• Incorporation of trends and data insights to enhance content performance.

Requirements

• 2+ years managing social media or digital content.

• Proficiency with scheduling and analytics tools (Metricool, Meta Suite, LinkedIn Analytics, Mailchimp, etc.).

• Exceptional attention to detail and communication skills.

• Self-starter comfortable in fast-paced, startup environments.

Nice to Have

• Experience in SaaS, small business marketing, or automation tools.

JOB DESCRIPTION

• 2 to 6 years of experience in imparting technical training/ mentoring  
• Must have very strong concepts of Data Analytics
• Must have hands-on and training experience on Python, Advanced Python, R programming, SAS and machine learning
• Must have good knowledge of SQL and Advanced SQL
• Should have basic knowledge of Statistics
• Should be good in Operating systems GNU/Linux, Network fundamentals,        
• Must have knowledge on MS office (Excel/ Word/ PowerPoint)                           
• Self-Motivated and passionate about technology                                     
• Excellent analytical and logical skills and team player                               
• Must have exceptional Communication Skills/ Presentation Skills                         
• Good Aptitude skills is preferred                        
• Exceptional communication skills

Responsibilities:                                                                                         

• Ability to quickly learn any new technology and impart the same to other employees
• Ability to resolve all technical queries of students
• Conduct training sessions and drive the placement driven quality in the training
• Must be able to work independently without the supervision of a senior person
• Participate in reviews/ meetings                                                                                                          

Qualification:                                                                               

• UG: Any Graduate in IT/Computer Science, B.Tech/B.E. – IT/ Computers
• PG: MCA/MS/MSC – Computer Science
• Any Graduate/ Post graduate, provided they are certified in similar courses

ABOUT EDUBRIDGE

EduBridge is an Equal Opportunity employer and we believe in building a meritorious culture where everyone is recognized for their skills and contribution.

Launched in 2009 EduBridge Learning is a workforce development and skilling organization with 50+ training academies in 18 States pan India. The organization has been providing skilled manpower to corporates for over 10 years and is a leader in its space. We have trained over a lakh semi urban & economically underprivileged youth on relevant life skills and industry-specific skills and provided placements in over 500 companies. Our latest product E-ON is committed to complementing our training delivery with an Online training platform, enabling the students to learn anywhere and anytime.

To know more about EduBridge please visit: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/

You can also visit us on https://www.facebook.com/Edubridgelearning/">Facebook , https://www.linkedin.com/company/edubridgelearning/">LinkedIn for our latest initiatives and products

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning