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We maintain a corporate culture and are committed to excellence in our endeavours. We think as innovators, act as solution providers, collaborate as partners, work as outperformers. We believe in teamwork, employee engagement & employee empowerment. At Manorama the best practices are rewarded in business, from strategy to team leadership, influence, innovation, product management, and client services. We train our team to revamp their skills and competency for better administration and operations.
We are an equal opportunity employer, supporting diversity, equality & dignity. We have best of talents and skilled team working for our Organisation. We have multiple openings for various roles in our organisation. We welcome go getters with passion for creativity, talent to explore, zeal for excellence and most importantly a passion for IT.
As a B2B Marketer, you will handle marketing efforts for brand awareness. As well as, lead generation, web site development and content curation/creation, and sales collateral.
Roles and Responsibilities
- Design content marketing strategies and set short-term goals.
- Online and offline marketing: hands-on experience with digital media, including SEM, display, social, email, and affiliate channels.
- Experience working with a sales team in both Sales Enablement and Account-Based Approach.
- Knowledge of Demand Generation tactics and Lead Conversion principles.
- Understanding of A/B and multivariate testing, user segmentation, and reporting processes.
- Ability to create value propositions that communicate clearly to targeted audiences.
- Extensive experience creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.
- Accomplished at leveraging full value from marketing automation processes and tools.
Requirements
- Degree in Marketing or relevant field.
- 3+ years of hands-on marketing experience in a B2B role.
- Excellent understanding of B2B marketing.
- Demonstrated ability to manage the budgeting process and use of analytical skills.
- Proven track record in delivering marketing campaigns that drive sales growth.
- Ability to remotely create and manage marketing strategies.
- An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.
- Excellent communication skills.
Android using React Native.
Key Skills required :
1. Understanding of the Mobile Application Development lifecycle
2. Hands-on experience with React Native
3. Experience with Redux or Flux or MobX
4. Understanding of Advanced JavaScript – ES6
5. Understanding of Flexbox
6. Preferable experience with iOS (Swift) or Android (Java) development
🚀 Hiring: SAP Vistex Consultant
📍 Locations: Pune | Mumbai | Bangalore | Gandhinagar
🧠 Experience: 6+ years in SAP Vistex
🏢 Company: Synexc (Hiring for Capgemini)
✅ Requirements:
- Minimum 6 years of hands-on experience in SAP Vistex
- Expertise in Incentive Management, Rebates, Chargebacks, and Claims Processing
- Strong integration experience with SAP SD/MM
- Should have done at least 1 full-cycle implementation
- Good understanding of Vistex modules like Deal Management, Pricing, and Contract Setup
- Support & Enhancement project experience preferred
- Excellent communication skills and ability to interact with clients

Graduate Engineer Trainee (GET) – R&D (Paints)
📍 Location: Head Office, Navi Mumbai
💼 For Freshers with Chemistry, Chemical Engg., or Paint Tech background
👩🔬 What You’ll Do:
- Work on cutting-edge R&D in paints and coatings
- Apply IS/EN/ASTM standards in testing and applications
- Operate lab instruments for accurate product testing
- Develop & maintain SOPs and documentation
- Uphold lab safety and quality management protocols
🎓 Who Can Apply:
- M.Sc. Chemistry | B.E./B.Tech in Chemical, Paint, or Polymer Technology
- Strong academic foundation & passion for innovation
- Great analytical, problem-solving, and communication skills
- Team player with attention to detail
- Lead the end-to-end product lifecycle, from conceptualization to delivery, for next-gen AI solutions on our codeless platform
- Collaborate closely with cross-functional teams, including engineering, design, and marketing, to define product requirements and roadmap.
- Conduct market research and analysis to identify emerging trends, customer needs, and competitive landscape in the AI and software industry.
- Prioritize features and enhancements based on business objectives, user feedback, and technical feasibility.
- Track and analyze key performance indicators (KPIs) to measure product success and iterate on strategies for continuous improvement.
- Act as a subject matter expert for the product, providing guidance and support to internal teams and external stakeholders.
- Assist in the identification and implementation of process improvements to optimize project delivery and efficiency.
- Communicate project progress, findings, and recommendations to stakeholders through reports, presentations, and meetings.
- Work closely with mentors and senior team members to enhance technical skills and knowledge in AI and software development.
Techweirdo delivers AI models & enterprise solutions, globally for mid to large-scale organizations.
We offer consultation, services, and products to holistically address the digital transformation goals of an enterprise.
We are currently hiring passionate, senior full-stack Java engineers on behalf of one of our large customers to help them find the best-fit talent and create technologically challenging, visually delightful, and easy-to-use digital products in a fast-paced environment.
Must have actual development experience of:
1. Angular 6+ (Typescript) and Angular Material
2. HTML, CSS, js
Nice to have experience of:
1. Bootstrap
2. SCSS
Must have actual development experience of:
1. Java 8+
2. Spring Framework
3. Spring Boot (Rest APIs, SBS Web, SBS Logging, SBS AOP, SBS Batch & SBS Data - MongoDB) (SBS = Spring Boot Starter)
4. Mongo DB
Nice to have experience of:
1. Linux commands
2. Webservers and App servers esp. IBM Websphere
3. Knowledge of open-source Java libraries and frameworks (from Google, Apache, etc.)
Other skills:
Knowledge of Git and Github, Jira, CI/CD automation, Jenkins
Requirement – Years of experience – 5 – 9
• Hands-on development experience of minimum 2 years in Frontend
Technology – 50% weightage
AngularJS - 40% weightage
Bootstrap – 10% weightage
ReactJS – Nice to have
• Hands-on development experience of minimum 2 years in Backend Technology – 50% weightage
o Java8 – 15% weightage
o Database Queries (PL/SQL) – 15% weightage
o Spring MVC Framework – 20% weightage
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.
What you will achieve:
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Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap
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Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs
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Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists
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Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space
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Partner with the executive team and other business leaders to deliver cross-functional research work and models
Required Skills:
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Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience
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Knowledge of deep learning & NLP
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Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
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Experience with GPU computing is a plus.
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.
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Expert-level experience with a wide range of quantitative methods that can be applied to business problems.
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Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.
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Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
Qualifications
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Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization
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Expert-level experience with machine learning that can be applied to business problems
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Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling
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Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)
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5+ years of industry experience in data science and machine learning, preferably at a software product company
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3+ years of experience managing data science teams, incl. managing/grooming managers beneath you
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3+ years of experience partnering with executive staff on data topics