Inside Sales Executive

Content Strategy & Planning

• Expertise in developing and executing comprehensive content strategies aligned with business objectives, brand guidelines, and target audience insights.
• Ability to identify content opportunities through audience research, behavioural analysis, industry trends, social media trends, and competitor benchmarking.
• Proficient in creating and managing detailed content calendars to ensure timely and consistent delivery across multiple digital platforms.

Content Development & Campaign Management

• Skilled in planning and executing end-to-end content and marketing campaigns to promote brand initiatives, products, and investor education.
• Strong capability in producing high-quality, engaging content including articles, blogs, videos, infographics, and social media assets.
• Experienced in collaborating with and managing cross-functional teams—writers, designers, videographers, freelancers, and external agencies—to deliver compelling content on schedule.
• Deep understanding of brand tone, SEO best practices, and industry compliance to ensure all content meets quality standards.

Content Distribution & Performance Optimization

• Proficient in developing platform-specific content distribution and promotion strategies to maximize reach, engagement, and impact.
• Skilled in identifying and leveraging the right channels such as social media, email marketing, partnerships, and digital communities for content amplification.
• Strong analytical abilities to monitor KPIs—website traffic, engagement, conversions—and provide data-driven insights for continuous optimization.
• Keeps up-to-date with evolving content formats, digital trends, and industry best practices to enhance content marketing performance.

Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

Full stack software developer who enjoys solving complex problems

• Solid experience in.NET Core, SQL Server, and REACT (including REST)

• Experience in building cloud-native applications (Azure)

• Must be skilled at writing scalable, maintainable code

• Must have the ability to independently envision solutions and write clean code

• 5+ years of defining and implementing Application Architecture.

• Demonstrated experience with the .NET ecosystem (.NET Framework, ASP.NET, .NET Core)

• Demonstrated experience with front-end React, HTML and CSS Frameworks

• Experience building modern, scalable, reliable applications on the MS Azure cloud including services such as:

▪ App Services

▪ Azure Service Bus/ Event Hubs

▪ Azure API Management Service

▪ Azure Bot Service

▪ Azure Cognitive Services

▪ Function/Logic Apps

▪ Azure key vault & Azure Configuration Service

▪ CosmosDB

▪ Azure Search

▪ Azure Bot Framework

▪ Azure Cognitive Services

• Experience with highly available and large-scale cloud deployments.

• Extensive knowledge and experience with Enterprise Level architectural concepts and frameworks.

• Broad knowledge of Agile methodologies and best practices such as SCRUM, Kanban and Continuous Integration.

Role- Product manager 

We are seeking a Product Manager who will have a passion for agile, creating new delivery processes. This role includes leading cross-functional resources necessary for successful product definition where you will provide relevant business context for Agile software development team and leading team through planning exercises designed to help select development work for timeboxed execution.

Experience range- 8-14 Years

Responsibilities

•   Create and ensure a shared understanding of product vision and strategy amongst all members of the team.
•  Define a product portfolio from a product strategy that balances business need, opportunity, feasibility, and achievability.
•  Demonstrate platform thinking by abstracting feature requests into “classes of problems” and creating an extensible product which can be used for a variety of current and future needs.
•  Should have experience in Pre-sales.
• Backlog management, iteration planning, and elaboration of the user stories
• Guiding the team and organization on how to use Agile/Scrum best practices and values
• Partnering with Product Management to create and maintain a product backlog according to business value or ROI
• Create Product roadmap
• Understanding on NFR (Non-functional requirements.
• Understanding on Wireframing & Prototyping
• Lead the planning product release plans and set an expectation for delivery of new functionalities
• Providing an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals.
• Understanding knowledge of the market, the users, and the roadmap for the product.
• Represents the customer, interfaces and engages the customer
• Evangelize and market: communicate the value proposition and bring an emotional connection to the product to all stakeholders and team members.
• Drive research and competitive analysis to identify ways to transform the user experience, and create competitive opportunities.
• Reframe business solutions into actual business needs 
• Articulate how the product fulfils the business strategy and creates value to internal and external stakeholders (e.g. clients).
• Understand the technical aspects of software development – including software engineering, architecture, and technical tradeoffs – enough to ensure that technical choices don’t conflict with the product vision and strategy, but rather enable them.
• Partner with engineering leads and architects so that decisions on product and technology direction are not made in a vacuum.
• Make data-driven decisions: support portfolio choices with evidence from analytics and research.
• Align product strategies with other product managers, articulate how the product strategy fits into the broader ecosystem.
• Nurture regular communication and connection with business stakeholders to ensure that product strategy stays aligned with business priorities, and also to keep stakeholders abreast of learnings from customers that impact product direction.
• Always be “discovering” what customers and users need. Get out of the building: visit clients and speak with users/customers. Always be learning from user research conducted during product development cycles.
• Partner with Product Owners to ensure constant alignment with business and customer goals, and outcome expectations for delivery.

Requirements

• About 7+ years of overall exp and 3-4 years of relevant experience working as a Product Manager in a technology environment
• Solid Agile experience
• Understanding of technology; Language and Applications
• Additonal exp with API Banking Domain would be plus to the role
• Proven ability to define a set of requirements that pinpoint business challenges and identify technical and business changes required to address them.
• Ability to communicate clearly and concisely across technology and the business teams.
• Experience supporting/rolling out initiatives to commercial teams
• Experience with demand generation, account/territory management, opportunity management and contact management capabilities, functionality and workflows.