Implementation Manager
0 - 3 yrs
₹4L - ₹5L / yr
Gurugram
Skills
Event Management
Vendor Management
Field operations
Implementation
● Medical Program implementation On Ground as per scope of work.
● Liasoning with authorities for smooth operations.
● Managing Team deliverables.
● Conduct training and capacity building of local resources.
● Source medical personnel and implementation managers at specific locations where
required.
● Publish daily status updates and reports during the assessment.
● Drive health outcomes as per project specifications.
● Ensure quality of on ground operations and implement as per SOPs
● Escalate related risks and concerns when necessary
● Take responsibility for more than one aspect of business unit performance, e.g. cost
management, customer service levels, Vendor Management
● Take up client relationship management responsibilities.
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About Healthsetgo Education
Founded :
2016
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped
About
HealthSetGo Education is India's largest health organisation for schools and colleges impacting over 250,000 students across 77+ cities in India. Get in touch with us to learn more about our health services for schools and colleges.
Read more
Company social profiles
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We are looking for a PR Lead to own and drive a public relations strategy globally for Fynd Commerce and our entire product suite—including Boltic, PixelBin, GlamAR, Copilot, and more. You'll be responsible for driving PR efforts while coordinating with an external agency to execute the strategy.
This role is not just about media coverage—it’s about shaping the narrative, building strong industry relationships, and ensuring Fynd is positioned as a thought leader in commerce, AI, automation, and digital transformation.
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- Own the end-to-end media relations, press outreach, and storytelling efforts.
- Proactively pitch stories and secure coverage across top-tier publications, industry media, and digital platforms.
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- Monitor commerce, AI, and SaaS trends to identify opportunities for thought leadership and media placements.
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- Identify and leverage speaking opportunities, awards, and strategic partnerships to amplify Fynd’s brand visibility.
- Engage with online communities, industry forums, and professional networks to position Fynd as an industry leader.
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Some Specific requirements:
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- 10+ years of experience in public relations, corporate communications, or media strategy, preferably in SaaS, tech, or retail.
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XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
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extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
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Job Overview
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and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
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understand business requirements and convert them to a solvable data science problem statement. You will be
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production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
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the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
Mumbai
2 - 3 yrs
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Adobe Premiere Pro
Adobe After Effects
Adobe Flash
Motion graphic design
2D animation
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Knowledge of Motion graphics with Character Animation
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Story Visualization/ Animatic/ Storyboard
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Understanding of colouring theory
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Rigging and animation of 2D characters will be an added advantage
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Bring ideas and concepts to life from scratch without existing concept art.
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Work closely with team members to achieve artistic direction and vision.
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Collaborate with other members to achieve goals and deadlines.
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Be able to work under pressure.
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Have excellent attention to detail.
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Excellent time management skills.
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Delhi, Gurugram, Noida
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₹3L - ₹4L / yr
Human Resources (HR)
Build a career with one of the most talented, dynamic and ambitious team that is always looking to grow strength to strength. Read on.
Our client is a transportation and logistics company providing exceptional door-to-door product delivery services, across the city, without any radius limitations. They consistently deliver a delightful shopping experience for their customers by maintaining adaptive pricing and remarkable SLAs that helps to save time and costs of warehousing etc. Their seamless SaaS-based tech integration helps to consolidate data and customise pick up and delivery timelines as required by their clients, while being able to track their packages in real-time.
Their services are being used by various eCommerce companies, regular stores and retailers, as well as individuals through their convenient app. The founder is a Standford Business graduate, with over 30 years of experience in hospitality and successful stints at entrepreneurship disrupting different industries at a time.
As a HR Generalist, you will be responsible for managing the day-to-day operations of the Human Resource department.
What you will do:
- Taking care of new hire joining formalities
- Adhering to SOPs for hiring/ interview coordination with respective stakeholders
- Scheduling interviews, keeping in touch with candidates, recruitment agencies and hiring managers
- Maintaining database and personnel file updation
- Managing employee records file
- MIS Reporting
- Maintaining all employment records for hiring, onboarding, termination, leaves etc.
- Conferring with the management to develop or implement employee policies and procedures and updating all the paperwork
- Taking complete ownership of the background checks and the HRIS system
- Handling the onboarding activities and documentation
- Verifying attendance, hours worked, leaves as per the records and maintaining monthly attendance
- Managing of the employee exit formalities
- Managing of all the consultant contract, employee sourced and the related payments
- Tracking and updating the employee probation, confirmation, PIPetc
- Taking care of the statutory compliances
- Tracking all the reimbursements and other payments of the employees
- Working closely with cross functional team such as payroll, finance and talent acquisition to accomplish the desired tasks
- Grievance and queries handling in terms of payroll, HRIS, benefits etc.
- Employee engagement
- Managing the HR Compliances as a whole
Desired Candidate Profile
What you need to have:- Good experience in all generalist functions and HR coordination
- Excellent communication skills
- Good interpersonal and organizational skills
Read more
Bengaluru (Bangalore)
4 - 5 yrs
₹8L - ₹10L / yr
Copy Writing
Our client is a pet-care focused digital aggregator across various categories such as food, accessories, toys and grooming essentials. Their focus segment is the rapidly increasing community of pet parents. They offer expert-led online pet care consultation, training and healthcare services and products for dogs and cats, covering the lifecycle of a pet acting as a one stop shop. It is headquartered in Bangalore and was co-founded by startup veterans of whom 2 are IIM-Lucknow alumni and one is a Chartered Accountant. Our venture capital-backed client is funded by tier 1 investors and has raised approx. $3.5 mn in funding.
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What you need to have:- At least 3+ years work experience as a copywriter
- Skill in short form writing
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- Attention to detail
- Excellent written and verbal communication skills
- Comfort in working in a startup environment
Read more
We are looking for an Internal Auditor for one of our US based client with work location as Bangalore
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Bengaluru (Bangalore)
3 - 10 yrs
₹10L - ₹15L / yr
Internal Audititor
SOX
Quality Assurance Testing
We are looking for an internal audit associate for our team .This is a great opportunity to be part of a team in a globally recognized company experiencing significant growth, and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greater!
Summary of Key Responsibilities
• Perform SOX and quality assurance testing. Including walkthrough of processes and test of effectiveness of the identified controls and quality aspects
• Manage the periodic audit cycles from start to finish - Develop test plans, identify attributes to be tested, obtain supporting documents, review and document findings.
• Communicate challenges, findings and issues to the audit team on a timely basis
• Familiar with the Oracle SAP system and capable to navigate system
Required Qualifications:
• Bachelor’s degree in Accounting / Audit
• 2-3 years of experience in audit / quality assurance role
• Strong communication skills – written and verbal
• Knowledge and experience in Internal Audit, SOX, Quality Assurance testing cycle
• Proficient with Microsoft Office Suite applications including Excel, Word, PowerPoint
Good to have / Not Mandatory:
• Big 4 accounting experience
• Continuous Controls Monitoring experience / Six Sigma and Process Improvement certifications
• IT controls / access controls testing experience
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