Sales Manager

Qualifications: 

• Bachelor's degree in Communications, Journalism, Engineering or a related field. 
• Proven experience as a Content Writer with at least 2 years of professional experience. 
• Exceptional writing, editing, and proofreading skills with a keen eye for detail and grammar. 
• Strong understanding of content marketing principles and strategies. 
• Familiarity with SEO best practices and keyword research tools. 
• Experience in crafting content for various digital platforms and channels, including websites, blogs, social media, and email campaigns. 
• Excellent research skills and the ability to translate complex technical concepts into clear, concise, and engaging content. 

Ability to work independently, manage multiple projects simultaneously, and meet deadlines. 

A portfolio showcasing a range of content writing samples across different formats and styles. 

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
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Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
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Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
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Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

• Experienced in Selenium WebDriver
• Experience with Selector Web Elements, Particularly XPath
• Aware of Core Selenium concepts like different types of Wait, Complex X Paths, Selenium Grid etc.
• Expertise in Java programming language
• Knowhow of Jenkins and setting up a Continuous Delivery pipeline
• Apache POI API for reading and writing data to excel.
• Experienced working in IDE : Preferably Eclipse.
• Experienced in Version Control tool : GIT or SVN.
• Experienced in Testing Framework: Preferably TestNG or JUnit.
• Experienced in Build Tools: ANT and Maven.
• Expertise in at least one programming language - Java/C#

As a Back Office Executive, your primary responsibility is to gather, analyze, and interpret data to provide actionable insights that support decision-making processes within the organization. You will work closely with various teams to understand their research needs, contribute to strategic planning, and help enhance overall business performance.

Qualifications

1. Bachelor's or Master's degree.
2. Strong knowledge of Microsoft Office tools i.e. Microsoft Excel and Microsoft Word.
3. Excellent communication skills, both written and verbal.
4. Good knowledge of Google Spreadsheets, shortcut keys, and formulas.
5. Ability to work collaboratively in a team environment.
6. Prompt in web search.

We strongly prefer local candidates for this position as it is based in Ujjain.

1. Urgent Opening for Corporate Gifting Executive Profile

   Location: Navi Mumbai

   Job Description:

   • Coordinating between clients & warehouses/respective teams to ensure smooth delivery of customised gifting orders - personal or corporate.
   • Plan for and manage inventory across all channels - e-commerce, retail & third party portals.
   • Work on gifting catalogue, client leads and end to end customer servicing
   • Showcases leadership qualities, is focused, self motivated & punctual.
   • Displays ownership and fulfils projects within timelines
   • Locate new vendors and have innovative ideas for gifting
   • Work in tandem with all teams within the organisation to ensure smooth functioning of the requirements
   • Work on multiple projects at once and is able to meet set deadlines.
   • Willing to travel to store locations within and even outside the city if required to set up gifting items at retail stores and participate in visual merchandising.

• Driving marketing programs that are highly targeted basis content affinity of relevant segmented audience cohorts
• Building and scaling acquisition programs that target consumers as well as experience in media planning across a broad online media mix
• Managing all efforts and goals on organic and digital paid media: SEO, SEM, Display, Paid Social, Affiliate, Direct buys etc.
• Serving as the strategic lead for programmatic display, especially the Double Click suite
• Driving campaigns from planning to execution and beyond to meet key performance metrics
• Determining key metrics, constantly reducing operational costs, and measuring the success of performance strategies
• Constantly optimizing marketing activities to improve return on investment
• Allocating budgets and analyzing and recommending modifications to ad spends
• Managing ROI in line with the business/management expectations
• Driving and managing marketing budgets and campaigns for driving user growth through various Digital SME channels

What you need to have: