QA Engineer

Position Overview:

 As a Generative AI Engineer, you will be responsible for designing, implementing, and optimizing generative AI models and algorithms.You will primarily work in building new b2c applications and integrating AI features into existing apps. You will work closely with cross-functional teams to integrate AI capabilities into our products. The ideal candidate will have a strong entrepreneurial mindset, who owns the entire AI implementation and is well versed in latest developments in GenAI and LLM space.

Key Responsibilities:

• Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
• Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
• Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
• Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
• Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
• AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
• Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
• Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.

Required Qualifications:

• 3+ years of experience in machine learning or AI development, with a focus on generative models.
• Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
• Working knowledge of javascript and other web concepts is a plus.
• Analyse and preprocess diverse datasets to extract meaningful information for AI applications
• Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
• Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
• Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
• Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
• Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
• Strong research interest delving deep into depths of AI, LLM tech with passion.
• Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
• Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
• Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
• Familiarity with model evaluation techniques and performance metrics specific to generative models.
• Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
• Strong communication skills and the ability to collaborate in a cross-functional team environment.

• Develop, test, and maintain server-side applications using Node.js and related technologies.
• Design and implement RESTful APIs and microservices architecture to support frontend functionality.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize application performance, ensuring scalability and reliability.
• Conduct code reviews, mentor junior developers, and ensure adherence to best practices.
• Stay updated with emerging backend technologies and methodologies to improve development processes.

Mandatory

• SaaS experience of 2 years with total development experience of 4 years
• Must have worked in a smaller company of less than 100
• Should have built solutions/softwares end to end and not just as a part of bigger team
• Should see themselves going deeper into the same role even 5 years down the line
• Should have knowledge on Node.js, MongoDB, and AWS
• Strong understanding of asynchronous programming, event-driven architecture, and Node.js design patterns.
• Proficiency in working with databases such as PostgreSQL, MongoDB, or MySQL.
• Experience with API development, including RESTful services and microservices.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving skills and the ability to debug complex server-side issues.

Essential

• Proficiency with version control systems like Git.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of system design and scalable architecture.
• Understanding of security best practices and implementing secure APIs.

Good to Have

• Experience with GraphQL and related backend technologies.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with message brokers like RabbitMQ or Kafka.
• Experience with platforms like Shopify, BigCommerce, or other e-commerce technologies.
• Exposure to frontend technologies such as React for better cross-functional collaboration.

Position Overview:

We are seeking a highly motivated and analytical individual to join our team as a Market Research and

Competitive Intelligence Analyst, specializing in enterprise technologies and telecom markets. As an integral

member of our organization, you will be responsible for gathering, analyzing, and interpreting data to provide

strategic insights and recommendations to support our business decisions and competitive positioning. This role

requires a deep understanding of the enterprise technologies and telecom sectors, as well as strong research,

analytical, and communication skills

 Job Description:

o Conduct comprehensive market research:

 Identify and analyze market trends, industry developments, and emerging technologies in the

enterprise technologies and telecom markets.

 Gather data on market size, market share, growth rates, customer needs, and competitive landscapes.

 Monitor regulatory changes, industry standards, and policy developments impacting the sector.

 Utilize primary and secondary research methods to collect relevant data, including surveys, interviews,

and data analysis tools.

o Perform competitive intelligence analysis:

 Identify key competitors in the enterprise technologies and telecom markets and track their activities,

strategies, and performance.

 Analyze competitors' product offerings, pricing strategies, market positioning, and go-to-market

approaches.

 Evaluate strengths, weaknesses, opportunities, and threats (SWOT) of competitors.

 Conduct benchmarking analysis to assess our company's performance against competitors and identify.

areas for improvement.

o Generate strategic insights and recommendations:

 Synthesize market and competitive data to extract meaningful insights and actionable

recommendations.

 Collaborate with cross-functional teams to provide strategic guidance for product development,

marketing campaigns, and sales strategies.

 Present findings, reports, and recommendations to senior management and stakeholders in a clear and

concise manner.

 Stay abreast of industry trends, best practices, and technological advancements to inform strategic

decision-making.

o Maintain industry knowledge and expertise:

 Continuously update knowledge of enterprise technologies and telecom markets through research,

industry events, and networking.

 Build relationships with industry experts, analysts, and vendors to gain insights and access to relevant

information.

 Act as an internal subject matter expert, providing guidance and training to colleagues on market.

research and competitive intelligence methodologies.

 Team Management:

 Qualifications and Skills/ Experience, Expertise:

o Previous Experience in a Related Field Preferred; Proven work experience as a Market Research Analyst,

o bachelor's degree in business, marketing, economics, or a related field. A master's degree is preferred.

o Proven experience in market research, competitive intelligence, or related fields within the enterprise

technologies and telecom sectors.

o In-depth knowledge of enterprise technologies, such as cloud computing, cybersecurity, artificial intelligence,

and data analytics.

o Familiarity with telecom services, network infrastructure, wireless technologies, and telecommunications

regulations.

o Proficient in gathering, analyzing, and interpreting quantitative and qualitative data from various sources.

o Strong analytical and critical thinking skills, with the ability to translate data into actionable insights and

recommendations.

o Excellent written and verbal communication skills, including the ability to present complex information in a clear

and concise manner.

o Proficiency in using market research tools, data analysis software, and Microsoft Office suite.

o Detail-oriented with strong organizational and project management skills.

o Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.

o Strong business acumen and a keen interest in staying up to date with industry trends and developments

o Strong interpersonal skills and an ability work as part of a team, both physical and virtual

o Ability and willingness to work on short deadlines; Strong organizational skills with a problem-solving attitude;

Strong listening and storytelling skills.

o Enthusiasm for working in a high profile, fast-paced startup culture.

o Responsible and self-motivated; Strong analysis skills; Ability to learn new technologies; Ability to multitask and

prioritize between competing activities

o Expertise in MS office - Excel, Word & Power Point documents.

 Key Deliverables: Key Performance Indicators (KPIs) and Key Result Areas (KRAs) for the Market Research and

Competitive Intelligence Analyst. These KPIs and KRAs are designed to evaluate the performance and contribution of the Market Research and Competitive Intelligence Analyst in enterprise technologies and telecom markets. They focus on areas such as market share analysis, competitor analysis, customer insights, strategic recommendations, research accuracy, industry expertise, cross-functional collaboration, and process improvement.

o KPI: Market Share Analysis

 Measure and track changes in market share for our company and key competitors.

 Assess the impact of market share changes on business performance.

 Develop strategies to improve or maintain market share in target markets.

o KPI: Competitor Analysis

 Monitor and analyze competitor activities, including product launches, marketing campaigns, and

pricing strategies.

 Provide regular updates on competitor strengths, weaknesses, and market positioning.

 Identify opportunities and threats in the competitive landscape and propose counterstrategies.

o KPI: Customer Insights

 Gather customer feedback and conduct surveys to understand customer preferences, needs, and

satisfaction levels.

 Translate customer insights into actionable recommendations for product development, marketing,

and customer service improvements.

 Track customer satisfaction scores and measure the impact of initiatives on customer loyalty and

retention.

o KPI: Strategic Recommendations

 Provide timely and valuable strategic recommendations based on market research and competitive

intelligence.

 Evaluate the potential impact of strategic initiatives on business performance and market positioning.

 Monitor the implementation of strategic recommendations and measure their effectiveness.

o KPI: Research Accuracy and Timeliness

 Ensure accuracy and reliability of research data and information.

 Adhere to research methodologies, data collection processes, and quality standards.

 Deliver research reports and insights within defined timelines to support decision-making processes.

o KPI: Industry Knowledge and Expertise

 Stay updated with industry trends, emerging technologies, and regulatory changes in enterprise.

technologies and telecom markets.

 Participate in industry events, webinars, and conferences to expand knowledge and network with

industry professionals.

 Share industry insights and best practices with the team and contribute to thought leadership

activities.

o KRA: Cross-functional Collaboration

 Collaborate with product management, sales, and marketing teams to align market research findings.

with business strategies.

 Provide support and guidance for product development, marketing campaigns, and sales initiatives

based on market insights.

 Foster a culture of knowledge sharing and collaboration across departments.

o KRA: Process Improvement

 Identify opportunities to streamline and improve market research and competitive intelligence.

processes.

 Implement best practices, tools, and technologies to enhance efficiency and effectiveness.

 Measure the impact of process improvements on the quality and timeliness of deliverables.

Education: Any graduate, with digital certifications (a must)

We are looking for Aptitude and Computer Trainer (Basics)

Bachelor’s degree in Human Resources, Education, Psychology, Business Administration, or a related field.

Proven experience (3+ years) as a Soft Skills and Aptitude Trainer or in a similar role.

Strong understanding of soft skills and aptitude assessment techniques.

Excellent communication, presentation, and facilitation skills.

Ability to engage and motivate diverse groups of individuals.

Proficient in using training tools and technologies.

Certification in training or coaching is a plus (e.g., CPT, CTT+)

Expertise in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Access).

Strong instructional and presentation skills with the ability to simplify complex concepts.

Experience in developing training materials and conducting assessments.

Certification in Microsoft Office Specialist (MOS) or similar credentials is a plus.

Excellent communication and interpersonal skills.

Ability to engage and motivate participants of varying skill levels.

Role : Lead – Influencer Marketing

Overview of job -

Our client is the world’s largest media investment company and is a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are looking to hire a Partner – Influencer Marketing to join us. In this role, you will be leading the advocacy narrative for the largest FMCG organization in India. An individual with expertise in digital marketing/planning, an entrepreneurial mindset and a knack for influencer marketing are key areas of strength that will be expected of the right candidate. Ready to build the influencer marketing ecosystem for working with a team of 15+ young minds specializing in the space of digital & influencer marketing. The role entails managing and building the influencer scope for more than 50 brands.

The 5 key pillars of the job -

A) Liaison with the global team and local to maintain and further develop a strategic narrative on influencer marketing

B) Blur lines between digital planning and influencer planning to drive effectiveness

C) Develop and deliver creative - first of its kind advocacy solutions for brands

D) Create a measurable framework on influencer marketing. E) Understanding of social media, digital marketing and content marketing ecosystem will be important elements to this role.

We are currently looking for a 10+ years’ experience individual, based out of Mumbai to join us. 

Minimum qualifications:

• Graduate – Mandatory, Post graduate – Preferred

• Minimum 10+ years’ experience with 4+ years of experience in digital marketing/digital planning/performance marketing

• Should have previously managed a team

• Experience in influencer marketing, Social media, and ecommerce 

1. Proven experience as a Laravel Developer with a strong portfolio of past projects.
2. In-depth knowledge of Laravel, PHP, and MySQL.
3. Experience with front-end technologies such as HTML, CSS, JavaScript, and jQuery.
4. Familiarity with version control systems (e.g., Git).
5. Understanding of RESTful API development and consumption.
6. Strong problem-solving and communication skills.
7. Ability to work collaboratively in a team environment.
8. Attention to detail and a commitment to delivering high-quality solutions.
9. Experience with testing frameworks (e.g., PHPUnit) is a plus.
10. Knowledge of other PHP frameworks and CMS (e.g., Symfony, CodeIgniter, WordPress) is a plus.

You will be responsible for building and maintaining highly scalable data infrastructure for our cloud-hosted SAAS product. You will work closely with the Product Managers and Technical team to define and implement data pipelines for customer-facing and internal reports.

• Design and develop resilient data pipelines.
• Write efficient queries to fetch data from the report database.
• Work closely with application backend engineers on data requirements for their stories.
• Designing and developing report APIs for the front end to consume.
• Focus on building highly available, fault-tolerant report systems.
• Constantly improve the architecture of the application by clearing the technical backlog. 
• Adopt a culture of learning and development to constantly keep pace with and adopt new technolgies.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent
• Overall 8+ years of experience
• Expert level understanding of database concepts and BI.
• Well verse in databases such as MySQL, MongoDB and hands on experience in creating data models. 
• Must have designed and implemented low latency data warehouse systems.
• Must have strong understanding of Kafka and related systems.
• Experience in clickhouse database preferred.
• Must have good knowledge of APIs and should be able to build interfaces for frontend engineers.
• Should be innovative and communicative in approach
• Will be responsible for functional/technical track of a project

You will work with a top-notch tech team, working closely with the CTO and product team.  

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality on content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits.
We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass.  Works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.