
Strong Solutions Engineer profile
Mandatory (Experience): Must have 1+ years of experience in technical solution design, implementation, or consulting in a client-facing role with atleast 6 months+ in B2B SAAS companies
Mandatory (Workflow Automation): Must have hands-on experience designing workflow automation or BPM solutions with the ability to map client problems to automation opportunities end-to-end
Mandatory (API & Integration): Must have working knowledge of REST APIs, webhooks, and integration patterns
Mandatory (JavaScript): Must have working proficiency in JavaScript - applied in solution development, customisation, or prototyping contexts
Mandatory (Client-Facing Role): Must have direct experience in technical discovery, demos, onboarding, and client implementation - pure support, helpdesk, or monitoring-only backgrounds will not be considered.
Mandatory (Communication): Must have strong verbal and written communication skills to explain technical concepts clearly to non-technical stakeholders
Mandatory (Company): B2B SAAS companies

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Digital Marketing Executive – Intern
Company: Lyncotek Venture Pvt Ltd
Location: Peenya 2nd Stage, Bangalore
Experience: 0–2 Years / Freshers
Internship Duration: 3 Months
Job Summary
We are looking for creative Digital Marketing Interns to support social media and online marketing activities.
Responsibilities
- Handle social media accounts
- Create posters and marketing content
- Support online campaigns
- Assist in lead generation activities
- Coordinate with marketing team
Requirements
- Students or freshers can apply
- 0–2 years of experience preferred
- Basic knowledge of social media marketing
- Canva/design knowledge is an added advantage
Job Responsibilities
- Help develop an analytics platform that integrates insights from diverse data sources.
- Build, deploy, and test machine learning and classification models
- Train and retrain systems when necessary
- Design experiments, train and track performance of machine learning and AI models that meet specific business requirements
- ML and data labelling: Identify ways to gather and build training data with automated data labelling techniques and the creation of highly accurate training datasets.
- Automatic extraction of causal knowledge from diverse information sources such as databases, news, social media, videos and images etc.
- Develop customized machine learning solutions including data querying and knowledge extraction.
- Develop and implement approaches for extracting patterns and correlations from both internal and external data sources using time series machine learning models.
- Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
- Distil insights from complex data, communicating findings to technical and non-technical audiences.
- Develop, improve, or expand in-house computational pipelines, algorithms, models, and services used in crop product development.
- Constantly document and communicate results of research on data mining, analysis, and modelling approaches.
- 5+ years of experience working with NLP and ML technologies.
- Proven experience as a Machine Learning Engineer or similar role.
- Experience with NLP/ML frameworks and libraries
- Proficient with Python scripting language
- Background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
- Demonstrated experience developing and executing machine learning, deep learning, data mining and classification models. Conversant with the latest in NLP and NLU models including transformer architectures and in creating explainable AI
- Ability to communicate the advantages and disadvantages of choosing specific models to various stakeholders
- Proficient with relational databases and SQL. Ability to write efficient queries and optimize the storage and retrieval of data within the database. Experience with creating and working on APIs, Serverless architectures and Containers.
- Creative, innovative, and strategic thinking; willingness to be bold and take risks on new ideas.
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Mandatory Skills: AI : Artificial Intelligence .
Experience: 8-10 Years .
Role Overview: We are seeking a motivated and detail-oriented HR Operations Intern to join our dynamic HR team. This intern will support the HR Operations department, primarily focusing on employee engagement practices, retention strategies, and assisting the Senior HR Operations Manager.
Responsibilities:
• Assist in developing and implementing employee engagement programs.
• Support Senior HR Operations Manager with HR tasks, including managing employee records.
• Contribute to employee retention strategies and programs.
• Help prepare HR reports and presentations using Ms Offices and other tools.
• Communicate HR policies, benefits, and initiatives to employees.
• Collect and analyse employee feedback to improve engagement.
• Handle administrative tasks like scheduling, event organization, and documentation.
Must Have:
• Graduate of an MBA in HR or a related field.
• Strong verbal and written communication skills.
• Proficient in Microsoft Excel (formulas, data analysis).
• Detail-oriented with good organizational skills.
• Ability to work independently and in a team.
• Proactive, enthusiastic, and eager to learn.
• Prior HR or operations internship experience is a plus.
Job Title: Senior AI Engineer
Job Summary:
We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform.
Key Responsibilities:
- Design, develop, deploy, and maintain ML models and AI infrastructure.
- Collaborate with cross-functional teams to integrate ML models into production workflows.
- Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring.
- Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment.
- Stay updated with the latest advancements in machine learning and AI best practices.
- Monitor and optimise model performance, addressing issues related to scalability and efficiency.
- Troubleshoot and resolve problems related to ML models and infrastructure.
Requirements:
- 5+ years of professional experience with Python programming.
- Hands-on experience with Machine Learning Operations (MLOps).
- Proven expertise in data engineering and ETL processes.
- Strong knowledge of AWS services, including Sage Maker 3wand Bedrock.
- Proficiency in setting up and managing Docker and CI/CD pipelines.
- Experience with large language models (LLMs) and prompt engineering.
- Familiarity with model performance monitoring and optimization techniques.
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
About Vidhai :
Vidhai Technologies has built business-process expertise, in addition to knowledge of SAP application outsourcing. At Vidhai Technologies, we have a dedicated team of SAP consultants and we provide high quality work that complies with international standards.
Responsibilities :
- Technical analysis, designing, reviews, testing an implementation of SAP ECC/EWM developments, ranging from small enhancements to large projects
- Ensure compliance to existing and development of required data and reporting standards
- Ability to write and validate the technical specification and able to create test Scripts
- Cross-functional knowledge of Finance, Sales, Marketing, Logistics and their use of data. Rich experience with SAP ABAP & SAP EWM ABAP.
- Will work closely with the Business solutions group, to complete on demand work requests, as well as being assigned for large scale SAP cross functional project Projects.
- Keep abreast of SAP releases, enhancements/new functionality and perform application research.
- The Job role involves all phases of the project - Requirement gathering, Estimation, Project Planning, Execution, Go-live and support.
- Ability to help resolve complex technical issues and independently manage critical/complex situations.
- Proven success designing and developing SAP solutions on the SAP ECC/ SAP EWM platform.
- Strong oral and written communication ability.
Required Qualifications :
- Bachelor’s Degree – Engineering or Computer Science
- 8+ years overall SAP experience with minimum 2 End to End Implementations and at least 2 Support Projects
- Should have worked on SAP EWM S/4 2021.
- Must be expert at testing and debugging procedures.
- Must be able to evaluate user requirements relative to current application functionality.
- Requires clear written and verbal communication in a technical context.
- Should have thorough knowledge on EWM PPF, EWM RF framework, ITS Mobile, CIF, Reports, Forms, OOPS ABAP, BAPI, Enhancements, BADI, ALE.
- Experience in ECC <-> EWM integration.
- Ability to develop new and enhance existing RF functions.
- Experience in Smartforms, Label Development and EWM enhancements.
- Able to work with Functional and Technical Teams
- Proven ability Delivering complex and time sensitive projects
- Experience working on a team operating under an Agile Scrum delivery methodology
- Excellent analytical skills and the ability to provide alternative solutions to technical problems
Technical Skills :
Java, Spring Boot, MySql, CI/CD Automation.
UI Scripting,NPL/ML
Foxy:
Our first product, FOXY, is an artist led commerce platform for beauty, grooming and personal care. Foxy is committed to bringing the best, latest and 100% genuine beauty products from across the world, as recommended by top influencers. We connect consumers with beauty influencers, artists and top brands, ensuring users' shopping experiences are unique. We understand that everyone's Beauty and Personal Care needs are unique, and thus our users all have a tailor made and personalised shopping experience through our platform.
Sustainability is at the core of FOXY and we are working towards creating a future with less pollution.
Category Manager
As a Category Manager, the individual would own the respective category P&L, growth strategy and brand partnerships. This is a critical role for the organization.
The responsibilities will include but are not limited to:
- Identifying the right product & brand mix for growth, bringing brands on board and building a long term synergistic relationship
- Creating a growth calendar and aligning brands, offers, marketing, curation & content to drive sales
- The person would be the business owner for his/ her categories. The role entails leveraging know how of internal and external variables to deliver sales and outreach of categories. The role entails forecasting, monitoring, understanding and reporting on the category. The role also requires the incumbent to drive strategic projects and promotions to achieve business objectives.
- Building deeper connect with brands and driving adoption of our brand platform solutions
- We are a data driven, tech first and fast growing organization and the individual needs to be performance driven, output oriented and ready for a start-up
- Category management experience with Leading Retail/ Ecommerce / beauty industry.
Job brief
We are looking for an experienced Digital Marketing Executive to assist in the planning, execution and optimization of our online marketing efforts. The promotion of products and services through digital channels is a complex procedure with great potential which becomes increasingly useful for companies such as ours.
The ideal candidate will have a passion for all things marketing and technology. You will be well-versed in the concepts surrounding digital marketing and how the Internet can become a strong asset to securing growing revenue. You will be tech-savvy and intuitive with great ideas to reinforce our marketing campaign.
Responsibilities
- Assist in the formulation of strategies to build a lasting digital connection with consumers
- Plan and monitor the ongoing company presence on social media (Twitter, Facebook etc.)
- Launch optimized online adverts through Google Adwords, Facebook etc. to increase company and brand awareness
- Be actively involved in SEO efforts (keyword, image optimization etc.)
- Prepare online newsletters and promotional emails and organize their distribution through various channels
- Provide creative ideas for content marketing and update website
- Collaborate with designers to improve user experience
- Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics, WebTrends etc.)
- Acquire insight in online marketing trends and keep strategies up-to-date
- Maintain partnerships with media agencies and vendors
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