Social Media Marketer

Job Title: Video Editor (Fresher) / Junior Video Editor

Location: Jaipur, Rajasthan Onsite

Experience: Fresher / 0–1 year

Employment Type: Full-time

Job Summary

We are looking for a creative and motivated Fresher Video Editor to join our team. The candidate will edit engaging video content for social media, marketing, and digital platforms while learning industry best practices under guidance.

Key Responsibilities

• Edit raw footage into high-quality videos
• Create short-form content (Reels, Shorts, Stories)
• Add basic effects, transitions, music, and subtitles
• Maintain brand consistency in all videos
• Organize and manage project files
• Implement feedback and revisions on time

Required Skills & Qualifications

• Basic knowledge of video editing software (Adobe Premiere Pro, Final Cut Pro, CapCut, DaVinci Resolve)
• Understanding of video formats and resolutions
• Creative storytelling mindset
• Willingness to learn and improve skills
• Ability to meet deadlines

Preferred (Good to Have)

• Basic knowledge of After Effects or motion graphics
• Familiarity with YouTube & Instagram content styles
• College projects, internships, or sample edits

Experience/skills required

Key Qualifications

• Developer Role:
• Preferably Java 
• CI/CD - DevOps (Exposure)
• Messaging Middleware (Exposure to Kafka or any other messaging middleware)
• DB: Oracle (pref) - any other Database platforms (SQL/NoSQL)
• Server Side: Java, Spring boot Microservices
• Exposure to Any Major Cloud Platform (AWS/Azure/GCP)

Responsibilities

Serve as the first in-depth

point of

contact to our prospects/ customers

and be a true

LambdaTest evangelist

Qualify Convert contacts/

prospects

to

qualified sales appointments by

maintaining a

healthy cadence of calls and emails

Should always prioritize tasks based

on

(prospect’s/ customer’s) response,

interest, and

business needs

CRM hygiene - document all calls/ emails/ activities on CRM system

and provide

appropriate forecast to the sales management

Requirements

2 - 4 years of Sales/ BDR/ Outbound/ Cold Calling experience in SaaS industry is a must

B.Tech in C.S, I.T, or related field is a plus

Fluent in English - written and spoken with a passion for technology

Functional experience in prospecting tools and CRM

platforms, like - Sales Navigator,

Outreach, Zoom info, ZOHO, SFDC etc

Proficient in lead generation and appointment setting

via

cold

calling, email campaigns,

LinkedIn connects, etc

Exceptional prospecting, discovery and qualification skills.

Should be able to connect and develop relationships with

CXO

level executives over the

phone/ con-calls

Must be organised, articulate and detail-oriented with the ability to multitask in a dynamic,

fast-changing environment

Experience working in a rapidly growing, fast-paced organisation selling SaaS solutions to

enterprise companies.

Strong business acumen, ethics and high integrity

About the company: https://www.hectar.in/

Hectar Global is a financial technology company that provides a disruptive cross-border trading platform for the agricultural commodities market. Our platform utilizes machine learning and data analysis to provide insights and improve the trading experience for farmers, traders, and other stakeholders in the agricultural industry. Our mission is to bring transparency and efficiency to the agricultural commodities market, which has traditionally been fragmented and opaque. We are committed to driving innovation in the industry and providing a user-friendly and accessible platform for our customers.

Job Overview: 

We are seeking a highly skilled Head of Engineering to lead the development of our innovative and disruptive cross-border trading platform at Hectar Global. This person will be responsible for spearheading all technical aspects of the project, from architecture and infrastructure to data and machine learning.

Responsibilities:

• Lead and manage a team of engineers, including hiring, training, and mentoring
• Design and implement the technical architecture of the cross-border trading platform
• Ensure the platform is scalable, efficient, and secure
• Oversee the development of data models and machine learning algorithms
• Collaborate with cross-functional teams, including product and design, to ensure the platform meets user needs and is visually appealing and easy to use
• Work with stakeholders to identify business requirements and translate them into technical solutions
• Develop and maintain technical documentation, including system specifications, design documents, and user manuals
• Keep up to date with emerging trends and technologies in software engineering, machine learning, and data science
• 
  

Requirements:

• Bachelor's or Master's degree in Computer Science or related field
• 10+ years of experience in software engineering, with a focus on web applications and machine learning
• Proven track record of leading and managing a team of engineers
• Expertise in software architecture and design patterns
• Experience with data modeling and machine learning techniques
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Experience working in an agile development environment
• Strong knowledge of front-end technologies, such as HTML, CSS, and JavaScript
• Familiarity with modern web frameworks, such as React or Angular

Preferred qualifications:

• Experience with cloud computing platforms, such as AWS or Azure
• Familiarity with data visualization tools, such as D3.js or Tableau
• Experience with containerization and orchestration tools, such as Docker and Kubernetes
• Understanding of financial markets and trading platforms

If you are a passionate leader with a proven track record of building innovative and disruptive products and teams, we would love to hear from you.

SAP APO Consultant 

Minimum 6+ year of Experience, relevant 5+ years as SAP APO Consultant.
Having an experience in DP andd SNP module
Minimum 2 end to end implementation is Mandatory
• This is for a support project, we are looking for candidates with minimum of 1 Implementation, Rollout, Support, upgrade, enhancements and various areas with implementation
• For users globally to ensure decent project delivery, service delivery, incident management, problem management, and change management.
• Analyse the systems and work directly with users to define system requirements, design and propose solutions, configure the software and train employees.
• Performing day-to-day maintenance on the SAP system, as well as installing new upgrades and testing for bugs, besides system configuration and data migration.
• Optimizing the system for easy use, and training employees in its functions and support all new required business improvements, changes and propose the integrated best-fit design to these new or changed Business Processes without impacting other regions.
• Meeting directly with users to find out their SAP-related needs and incorporate these needs into a cohesive plan

About the Role

The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.

The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO.  This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.

Job Description

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
• Strong experience at working on databases and good at analytical reasoning
• Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
• Must be involved in reconciliation of data sets and components across verticals depending on the need
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with the management to prioritize business and information needs
• Locate and define new process improvement opportunities

Required Skills:

• Proven working experience as a data analyst or business data analyst
• Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
• https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Job Purpose:

To Answer queries/resolve problems of customers through Inbound.

Attend Inbound & Outbound calls, sometime respond through email and chat to customers.

Provide correct and quality information to customers on every call, promote good listening and English grammar skills.

Eligibility Criteria:

Good speak, read & Write English & Hindi mandatory.

Able to communicate confidently and politely, with good speaking skills.

Awareness on Banking or Banking products.

Detailed knowledge of intricacies of Banks products and how they compare against competitors.

Good typing skills (Quality & Speed)

Ability to handle telephonic conversations

Good Listening & Comprehension skills

Should be flexible to work in 24/7 shift

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