Sales Executive

A Senior Business Development Associate (BDA) in the EdTech industry focused on sales would typically be responsible for developing and executing sales strategies to drive revenue growth for educational technology products or services. Some key responsibilities may include:

1. Identifying and reaching out to potential clients (e.g., educational institutions, corporate training programs) to generate leads and build a strong sales pipeline.

2. Conducting market research to understand the needs and preferences of the target audience and develop targeted sales pitches and proposals.

3. Collaborating with internal teams, such as product development and marketing, to align sales efforts with overall business goals and objectives.

4. Presenting product demonstrations, conducting sales presentations, and negotiating contracts with clients.

5. Managing client relationships, providing exceptional customer service, and addressing any inquiries or issues to ensure client satisfaction and retention.

6. Analyzing sales data, tracking performance metrics, and providing regular reports to management to evaluate the effectiveness of sales strategies and identify areas for improvement.

Overall, a Senior BDA in EdTech sales would play a crucial role in driving business growth, establishing strong relationships with clients, and contributing to the overall success of the organization in the education technology industry.

Role Overview

We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

• Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
• Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).

Prompt Engineering and AI Agents

• Work with prompt optimization to enhance LLM-based responses for specific use cases.
• Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

• Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
• Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

• Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
• Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

• Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
• Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

• Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
• Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

• Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
• Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

• Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience working with LLMs, transformers, and generative AI tools.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
• Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

• Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
• Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively collaborate with cross-functional teams.
• Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

• Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
• Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
• Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
• Familiarity with deploying AI Agents in production systems.

What We Offer

• Competitive Compensation & Benefits aligned with your experience and the impact you bring.
• Opportunity for Growth in a rapidly expanding B2B SaaS company.
• Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
• Collaborative Work Environment that fosters innovation, learning, and career development.
• Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Oracle Functional

Job Description

Oracle EBS Techno Function with 4+ years' of experience

Excellent functional knowledge of Financial modules (Specially GL, FA)

Expertise in Oracle EBS Financial, Project, Purchasing module

Able to understand the accounting concepts

Few technical skills like PLSQL, personalization, XML reports

Worked on Oracle EBS 12.2+ implementation and support

Qualifications

Graduate specially with accounts

Additional information

Excellent verbal and written communication skills.

About Company:

Our client is the industry-leading provider of CRM messaging solutions. As a forward-thinking global company, it continues to innovate and develop cutting-edge solutions that redefine how businesses digitally communicate with their customers. It works with 2500 customers across 190 countries with customers ranging from SMBs to large global enterprises.

About the role:

The Director of Product Management is responsible for overseeing and implementing product development policies, objectives, and initiatives as well as leading research for new products, product enhancements, and product design.

Roles & responsibilities:

- Become a product expert on all company's solutions

- Build and own the product roadmap and timeline.

- Develop and execute a go-to-market strategy that addresses product, pricing, messaging, competitive positioning, product launch and promotion.

- Work with Development leaders to oversee development resources, including managing ROI, timelines, and deliverables.

- Work with the leadership team on driving product strategy, in both new and existing products, to increase overall market share, revenue and customer loyalty.

- Implement and communicate the strategic and technical direction for the department.

- Engage directly with customers to understand market needs and product requirements.

- Develop/implement a suite of Key Performance Indicators (KPI's) to measure product performance including profitability, customer satisfaction metrics, compliance, and delivery efficiency.

- Define and measure value of software solutions to establish and quantify customer ROI.

- Represent the company by visiting customers to solicit feedback on company products and services.

- Monitors and reports progress of projects within agreed upon timeframes.

- Write very high quality BRD, PRDs, Epics and User Stories

- Creates functional strategies and specific objectives as well as develops budgets, policies, and procedures.

- Creates and analyzes financial proposals related to product development and provides supporting content showing allocation of funds to execute these plans.

- Write status updates, iteration delivery and release notes as necessary

- Display a high level of critical thinking in cross-functional process analysis and problem resolution for new and existing products.

- Develop & conduct specialized training on new products launched and raise awareness & application of relevant subject matter.

- Monitor internal processes for efficiency and validity pre & post product launch/changes.

Requirements:

- Excellent communication skills, both verbal and in writing.

- Strong customer focus paired with exceptional presentation skills.

- Skilled at data analytics focused on identifying opportunities, driving insights, and measuring value.

- Strong problem-solving skills.

- Ability to work effectively in a diverse team environment.

- Proven strategic and tactical leadership, motivation, and decision-making skills

Required Education & Experience:

- Bachelor's Degree in Technology related field.

- Experience in working with a geographically diverse development team.

- Strong technical background with the ability to understand and discuss technical concepts.

- Proven experience in Software Development and Product Management.

- 12+ years of experience leading product teams in a fast-paced business environment as Product Leader on Software Platform or SaaS solution.

- Proven ability to lead and influence cross-functional teams.

- Demonstrated success in delivering high-impact products.

Preferred Qualifications

- Transition from software development role to product management.

- Experience building messaging solutions or marketing or support solutions.

- Experience with agile development methodologies.

- Familiarity with design thinking principles.

- Knowledge of relevant technologies and industry trends.

- Strong project management skills.

• Design and develop mobile applications in true service oriented architecture.
• Building mobile applications on Android platform using Java, Kotlin, etc
• Worked on major architectures like MVVM, MVP

• Helps Test Lead to prepare the Test Plan and coordinate with Test Engineers during Testing Phase
• Performs Bug Analysis, understands the client requirement and help Test engineer to prepare the test cases
• Ability to multi-task/handle several projects effectively and deliver within timeline
• Peer Reviews the test cases, understands the Test Plan and write Automation test cases
• Able to write Scripts in languages like Java, Ruby, Python, etc.,
• Able to review the Scripts written, able to run the Maintenance / New Scripts and identify the issues
• Knowledge on automation test reports (TestNG, Allure, JUnit reports etc)
• Define onboarding documents for technology and domain for the teams
• Train/Mentor and evaluate juniors on testing specializations
• Exihitbit strong expertise in one of Load Testing - Jmeter (or similar tools) or Api Testing - Rest client/postman or DB testing
• Perform cross Browser / device compatibility testing using automation
• Understand and contribute to sprint release cycle process, ensure 100% test coverage and follow JIRA hygiene
• Besides the job specific responsibilities strictly adheres to the policies and procedures of the organization

• Excellent communication (verbal and written) - Articulates clearly, concisely  and with context at all times, High confidence and assertiveness skills
• Has a cordial work relationship with peers and manager
• Speaks his/her mind even during challenging situations, Proactively seeks help /assistance when in need
• Ability to Develop self and others - Takes feedback positively and works on it seriously, Is not afraid of making mistakes as part of learning
• Open to working across projects and technologies, Good analytical and logical skills
• Understands requirements quickly and accurately
• Proactively thinks through the solution and seeks clarification before coding
• Explores the root causes of problems before taking action
• Quickly learns the latest developments in technology and is able to apply it to the projects
• Good Interpersonal Skills - Builds good working relationship with team members and customer stakeholders (Product owners and Scrum master etc)
• As a QA person - Show extreme attention to details and nuances