- Create Exclusive Distributors (minimum 4 in 4 months) in your respective areas of operation
- To work directly with the distributor and the sales executives in designing and implementing key marketing campaigns.
- To actively engage yourself to collect inventory, stocks and work reports of the distributor in a
daily/weekly basis.
- To look after smooth functioning and supply chain of the authorized distributor under your
periphery.
- To oversee sales executive schedule and plan them accordingly.
- To facilitate cross-functional communications among project stakeholders.
- To actively engage yourself with core marketing policies required for business development.
- To look after the grievances and claims arising from time to time maintaining proper
coordination with the company.
- To actively follow other marketing strategies and instructions as and when instructed by the company.

About Casey Foods
About
We are eastern Odisha based FMCG company under the aegis of Casey Foods having our production/manufacturing unit at Phulbani, Kandhamal District. We deal with day to day FMCG products involving common customer interest. Our common products include most of the Indian species and common edibles. Produced under controlled hygienic conditions following strict processing parameters, Casey believes quality to be in its core. Our round the clock quality testers monitor the batch by batch production thus ensuring quality to be above all in front of our esteemed customers. State of the art machineries work round the clock ensuring flawless production satisfying every customer demands. Being certified with HCCAP and FSSAI, the products of Casey had gained excellence at par. This is due to our dedicate efforts towards customer satisfaction Casey believe in “make with trust”.
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- Plan and execute paid ad campaigns (Google, Facebook, LinkedIn, etc.).
- Optimize performance to maximize ROI and reduce costs.
- Analyze campaign metrics and prepare performance reports.
- Collaborate on creative ad copy and visuals.
- Stay updated on trends and implement A/B testing.
Qualifications:
- Proven experience in paid advertising (Google Ads, Facebook Ads Manager).
- Strong analytical and budget management skills.
- Certification in Google Ads or Facebook Blueprint (preferred).
- Excellent communication and teamwork abilities.

Company Overview
A well-funded women-centric healthtech start-up backed by India’s top VC - https://www.business-standard.com/article/companies/fireside-ventures-announces-closing-of-fund-ii-investment-in-gynoveda-119112000033_1.html">Fireside Ventures.
https://gynoveda.com/pages/about-us">Founders have proven track record & reputation with digital unicorns experience like Jio, Cleartrip, Intelenet, Concentrix. Currently on a mission to build the world’s largest menstrual health company.
Work Description:
- Achieve company sales targets using paid marketing channels
- Google : Search, YouTube, Adwords, GDN, Affiliate
- Social : Facebook, Instagram
- Marketplace : Amazon, Flipkart, healthcare and women platforms
- Obsessive focus on on-page conversion, CPM, CPC, cost of acquisition and ROAS
- Lead video content marketing using creatives, audiences, A/B tests
- Build cross-platform FUNNELS to implement retargeting strategies
- Setup customer journeys using marketing automation tools, Email, SMS, WhatsApp
- Develop marketing campaigns with a strong HOOK to drive eCommerce sales on website
- Sharp focus on hyper-growth yet achieve profitable unit economics
- Accountable for digital marketing from strategy to execution
Candidature requirements:
- 7+ years of digital marketing experience in performance marketing with digital first brand
- Proven track record in running D2C consumer acquisition funnels across FB, Google, Affiliates
- Video-content-led online marketing added plus
- Deep expertise in performance marketing especially using remarketing strategies
- Strong analytical mindset with data driven decision making
- Highly digital tools savvy to drive performance
- Passionate to work in entrepreneurial set-ups, comfortable with ambiguity and working in a constantly evolving business environment
Why & Who should consider :
Be the first 20 to join and become a part of the founders' club. We are set to inspire women to take charge of their health and therefore their lives.
Consider this an opportunity only if you believe in leading the change and make an impact in others lives. Consumer insights is an obsession.
This might not be a typical 9 to 5 job. You’ll not only set your own benchmarks but also paves the way for future teammates. If you’ve a Ninja-like attitude in you with an ability to hustle then your career will attain new heights as we grow business together.
Job Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.
3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.
4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.
5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.
6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.
7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.
8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders
About Merito :-
Merito is a curated talent platform where we identify, assess, and connect candidates for matching job opportunities. We are working with the mission to change the way hiring is done. The company is founded by a team consisting of alumni from IIM Ahmedabad, McKinsey will more than 2 decades of experience in recruitment, training, and coaching.
About the role :-
Do you have a mind that is both analytical and creative? Are you fascinated by how people use products and technology? We are seeking a Conversion Rate Optimization Specialist who embraces the combination of form and function. This individual is an experienced, data-driven professional focused on helping to evaluate and craft conversion-centric, digital strategies & experiences to help improve the metrics that matter most to business.. You should have a strong understanding and hands-on experience with A/B testing, website analytics and the UX conversion strategies & tactics that help drive performance and insights.. You’ll be working alongside a team of delightful designers, developers and digital media professionals to help deliver optimization programs .
KEY RESPONSIBILITIES :-
● Create and execute deliverables that help inform the ideal experiences for users. This could include items such as website audits, web analytics reviews, user journeys analysis, heuristic reviews, wireframes, information architecture reviews, task flows, user scenarios and persona development.
● Design, build and execute split testing, multivariate testing and other testing approaches for websites, emails and landing page
● Identify and test new technologies and practices to improve conversion rate and consumer engagement
● Use analytics platforms and other tools to monitor and analyze the outcomes from the tests
● Manage and optimize landing pages, website calls-to-action (CTAs), and lead-generating forms
● Collaborate with teams responsible for blogging, email, social media, in order to optimize each conversion path
● Increase conversion rates and drive marketing-qualified leads for our sales team
● Create design, content and development guidelines based on findings from winning tests
● Maintain a constant awareness of all competitor and industry activity.
QUALIFICATIONS AND EXPERIENCE :-
● Proficiency in using Google Analytics (Google Analytics Individual Qualification is a plus)
● Understand best practices for UI and UX for websites, applications, mobile, and desktop
● Hands-on experience using A/B testing tools (Google Optimize, Optimizely, VWO, etc.)
● Understand the importance of statistical significance when analyzing experiment results
● Ability to multitask and coordinate with multiple stakeholders
● Strong interpersonal and communication skills
● Critical-thinker and problem-solver
● Self-motivated and driven with a willingness to learn and constantly expand knowledge and skills
Roles & Responsibilities JOB TITLE: AEM Developer - Senior
RESPONSIBILITIES:
1. Participation in software development and maintenance
processes as per quality requirements, procedures and best
practices applicable.
2. Implementing, optimizing and supervising efficiency of IT
systems in accordance with specific standards, resolution or
escalation of problems, as appropriate.
3. Drawing up technical documentation.
4. Developing knowledge in scope of information technology used.
5. Developing knowledge in scope of best practices and standards
of creating software.
6. Developing soft skills in scope of effective communication and
efficient teamwork, solution presentation and knowledge sharing.
7. Interpreting business cases, preparing specifications and
analyzing functional and technical requirements.
8. Designing solutions and creating documentation, estimating
individual scope of works and time consumption of works.
9. Within the team and project/services, proactively identifying
problems and proposing measures to increase the level of services.
10. Developing knowledge in scope of information technology
used.
11. Developing knowledge in scope of best practices and standards
of creating software.
12. Spreading the knowledge throughout the organization by
educating and supporting less experienced Specialists.
13. Maintaining industry standards and practices in projects.
14. Performing tasks assigned by the superior.
PROFESSIONAL EXPERIENCE& TECHNICAL SKILLS
1. Minimum 3 years of experience in work related to CQ/AEM
development.
2. Minimum 5 years of experience in work related to Java
development in IT sector.
SOFT SKILLS:
1. Independence in performance of tasks assigned.
2. Team and end user communications skills.
3. Skills to acquire knowledge and put it in practice.
4. Work time estimation based on functional or technical
requirements.
5. Recommending employment in the case of reviewing technical
knowledge of candidates in recruitment process.
6. Work time estimation.
7. Designing and supervising implementation of solutions.
SPECIAL QUALIFICATIONS: Nice to have: AEM 6 Developer
certification
Skills Primary Skills –
1. AEM including Sling Models
2. Apache Sling
3. JCR
4. Sightly (must)
Secondary Skills –
1. OSGi (Apache Felix),
2. Java, JavaEE (Servlet, Filter, JSP)
3. Git
4. Junit
5. Maven
6. REST
7. Object Oriented Design Patterns, Basic HTML + JavaScript
Experience Total Experience – 4-6 years
Relevant Experience – 4-6 years
Qualification Required to perform the
Job (Any Certifications if Needed)
Bachelor’s in information technology or equivalent qualifications.
- Experience in Microsoft technologies (Microsoft Dot Net, C#, http://asp.net/">NET, MVC, Microsoft SQL, NETcore, Web API, WCF, Bootstrap, JavaScript, Angular JS, Web API, Web services, Rest API)
- Design complex architecture landscape involving API integrations
- Hands-on experience in ASP.Net, C#, MVC, WCF, Restful services, Web API, AngularJS, Entity Framework
- Strong analytical & problem-solving skills
- Must have excellent oral & email communication skills
- Strong analytical and problem-solving skills
- Must have a positive attitude and a yearning to get things done and demonstrate ownership of deliverables
- Only NIFT, NID, or pearl graduate
- Develop standard UI components and style guides
- Build wireframes and storyboards to conceptualize design
- Define visual elements, product elements, and overall design
- Taking design briefs to understand requirements
- Effectively communicate your designs to developers and other key stakeholders
- Create and implement interaction models and user interface specifications
- Conduct industry research and stay up-to-date on best practices, competitor UI designs, and emerging technologies
- Conduct, observe and analyze usability testing sessions
- Conduct user testing of applications, software, and websites
- Develop consistent, intuitive architectures
- Support the QA team to make sure features are implemented in the coded version as intended
- Determine timeline and deliverables
- Evaluate and set best practices and standards
- Work with UI managers and team to define user flows and sitemaps
- Measure the human-computer interaction (HCI) element of a design
- Collaborate on scenarios, end-to-end experiences, and screen designs
- Work with frontend and backend developers as needed
Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.













