
● 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.

About Healthsetgo Education
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The role
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.
What will you do at Fynd?
PR Strategy & Execution
- Develop and lead the global PR strategy for Fynd and all product verticals, ensuring alignment with business goals.
- 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.
- Position Fynd’s leadership, products, and innovations as key voices in retail tech, AI, automation, and SaaS.
- Monitor commerce, AI, and SaaS trends to identify opportunities for thought leadership and media placements.
Media & Industry Relations
- Build and nurture relationships with journalists, editors, analysts, and influencers across tech, retail, SaaS, and AI domains.
- Develop a strong press network to ensure consistent and impactful media coverage.
- Manage media requests, interviews, and speaking opportunities for Fynd’s leadership team.
- Drive executive communications, including keynote speeches, panel discussions, and industry event participation.
Content & Thought Leadership
- Craft press releases, bylined articles, op-eds, and media statements that shape industry perception.
- Collaborate with internal teams to create impactful storytelling around product innovations, partnerships, and market trends.
- Work closely with the content and growth teams to align PR efforts with broader marketing strategies.
- Lead crisis communications and reputation management when necessary.
Corporate & Community Engagement
- 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.
- Support internal communications to keep employees informed and aligned with key brand messaging.
Some Specific requirements:
Must-Have:
- 10+ years of experience in public relations, corporate communications, or media strategy, preferably in SaaS, tech, or retail.
- Strong media relationships with key business, tech, and industry publications.
- Collaboration and management skills when working with an external agency
- Exceptional storytelling skills—ability to craft compelling narratives from complex topics.
- Experience in securing media coverage, managing press releases, and handling crisis communications.
- Understanding of B2B SaaS, AI, automation, and retail-tech ecosystems.
Nice-to-Have:
- Experience working with high-growth startups, enterprise SaaS, or commerce technology companies.
- Background in journalism, media, or content strategy.
- Strong connections within AI, automation, and digital commerce circles.
- Experience with executive communications and thought leadership campaigns.


We are seeking an experienced Senior Backend Engineer to join our passionate team. If you have a strong background in backend development, a track record of delivering scalable and reliable solutions, and are eager to contribute to complex projects, we would love to hear from you.
Responsibilities:
- Design and develop robust, high-performance backend solutions using Python and related technologies.
- Lead the architecture and design discussions for major backend components and services.
- Collaborate closely with cross-functional teams to gather and analyze software requirements.
- Mentor and guide junior and mid-level engineers, fostering their technical growth.
- Review code and provide constructive feedback to ensure code quality and adherence to best practices.
- Identify and address performance bottlenecks, scalability challenges, and technical issues.
- Participate in sprint planning, task estimation, and agile development processes.
- Keep up-to-date with industry trends, tools, and best practices to continuously improve our backend systems.
- Drive the adoption of coding standards, design patterns, and engineering best practices.
- Collaborate with frontend engineers to ensure seamless integration between frontend and backend components.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Minimum of 4 years of professional experience in backend development.
- Strong proficiency in Python and backend frameworks like Django and Flask.
- In-depth knowledge of database systems, both relational (MySQL) and NoSQL (MongoDB, etc. ).
- Proven track record of designing and developing scalable and maintainable backend services.
- Experience with RESTful API design and best practices.
- Solid understanding of software architecture, design principles, and software development lifecycle.
- Previous experience leading or mentoring engineers is a strong plus.
- Strong problem-solving skills and a proactive attitude towards challenges.
- Excellent communication skills, both verbal and written.
- Familiarity with cloud platforms (e. g., AWS, Azure, GCP) and containerization (Docker) is a plus.
Job Overview
We are looking for an ambitious and energetic Business Development Manager to help us expand our clientele. You will be the front of the company and will have the dedication to create and apply an effective sales strategy. The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.
Responsibilities
- Develop a growth strategy focused on revenue growth
- Conduct research to identify new markets and customer needs
- Arrange business meetings with prospective clients
- Promote the company’s services addressing or predicting clients’ objectives
- Prepare sales contracts ensuring adherence to law-established rules and guidelines
- Keep records of sales, revenue, invoices etc.
- Provide trustworthy feedback and after-sales support
- Build long-term relationships with new and existing customers
- Develop entry level staff into valuable salespeople
Qualifications
- Proven working experience as a business development manager or sales executive in IT Services company
- Minimum 3+ years of experience
- Proven sales track record
- Proficiency in MS Office and CRM software
- Proficiency in English
- Market knowledge
- Communication and negotiation skills
- Ability to build rapport
- Time management and planning skills


*JAVA DEVELOPER*– (Mumbai churchgate- Onsite)
*Job brief*
Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.
*Requirements and skills*
• 6 to 10 years of experience in application development.
• Hands on experience in designing and developing applications using Java EE platforms.
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate).
• Experience in the Spring Framework.
• Experience in microservices development, Azure repo knowledge.
• Good to have knowledge of containerization/docker, azure pipeline/CICD.
• Good to have knowledge of frontend technologies. Ex- angular, JavaScript, TypeScript.
Skills and requirements
- Experience analyzing complex and varied data in a commercial or academic setting.
- Desire to solve new and complex problems every day.
- Excellent ability to communicate scientific results to both technical and non-technical team members.
Desirable
- A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
- Hands on experience on Python, Pyspark, SQL
- Hands on experience on building End to End Data Pipelines.
- Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
- Hands on Experience in building data pipelines.
- Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
- Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
- Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
- BS degree in math, statistics, computer science or equivalent technical field.
- Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
- Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
- Willing to learn and work on Data Science, ML, AI.


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.
-
Knowledge of Motion graphics with Character Animation
-
Story Visualization/ Animatic/ Storyboard
-
Understanding of colouring theory
-
Rigging and animation of 2D characters will be an added advantage
-
Bring ideas and concepts to life from scratch without existing concept art.
-
Work closely with team members to achieve artistic direction and vision.
-
Collaborate with other members to achieve goals and deadlines.
-
Be able to work under pressure.
-
Have excellent attention to detail.
-
Excellent time management skills.
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
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.
As a Copywriter, you will be responsible for starting our journey of creating conversations that connect and engage our audience.
What you will do:
- Thinking, feeling and finding the right words to connect with young pet parents in the country
- Ideating on campaigns and seeing them through execution by writing scripts and other relevant copy pieces
- Collaborating with internal partners to interpret project briefs and developing relevant concepts into copy
- Writing copy for all customer channels, including but not limited to ads, web banners, website copy, newsletters, and emailers
Desired Candidate Profile
What you need to have:- At least 3+ years work experience as a copywriter
- Skill in short form writing
- In-depth knowledge of Google and social media ad writing
- Knowledge on social media trends and content innovations
- Attention to detail
- Excellent written and verbal communication skills
- Comfort in working in a startup environment


