Digital Marketer

 Participate and contribute in platform requirements/story development.

 Contribute to the design and design alternatives to the requirements/stories and also participate in design reviews.

 Involved in Platform Sprint activities.

 Development of assigned stories in appropriate languages defined for each module.

 Develop Unit test cases and execute them part of continuous integration pipeline.

 Participate in peer code reviews

Years of experience needed –

 4+ years or more on Golang development.

Technical Skills:

 4+ years of development experience on Golang based development projects

 Mandatory Skills – Golang, AWS , JavaScript, CSS, HTML

 Must have experience in design and development of front end and back-end services for various business processes

 Good experience on Java, Spring boot & Microservices

 Experience using versioning controls such as GitHub

 Experience in working with SQL & NOSQL databases

 Understanding of containerization technologies such as docker, Kubernetes

 Good knowledge and hands-on on Unit Testing and available Test Frameworks

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.

Job Title: Data Architect - Azure DevOps

Job Location: Mumbai (Andheri East)

About the company:
MIRACLE HUB CLIENT,   is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.

Skill-sets Required:

• Design Enterprise Data Models
• Azure Data Specialist
• Security and Risk
• GDPR and other compliance knowledge
• Scrum/Agile
   

Job Role:

• Design and implement effective database solutions and models to store and retrieve company data
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
  
  

Desired Candidate Profile:

• Bachelor’s degree in computer science, computer engineering, or relevant field.
• A minimum of 3 years’ experience in a similar role.
• Strong knowledge of database structure systems and data mining.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
• Excellent English communication and presentation skills, both verbal and written
• Charismatic, competitive and enthusiastic personality with negotiation skills

Compensation: NO BAR  .

Our client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.

Responsibilities -

• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision

• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner

• Hold the analytics program together

• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.

• Play a key role in transforming the company into an intelligent enterprise.

• Deliver analytics use cases that directly contributes to our top-line growth

• Be responsible for overall data hygiene, governance, monitoring of data pipelines and

continuously delivering business value through data

Requirements -

• 5 - 7 years experience in a similar role

• Bachelor’s degree in computer science/ analytics

• Master’s degree (business administration/equivalent) with a focus on Analytics, data science

• Good verbal and written communication skills

• Good networking skills

• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.

• Proven industrial experience in software
• Excellent communication skill
• Excellent on Unix and Shell Scripting, Vi Editor (also Python)
• Development for any Test Automation with C++
• Development experience in Test Automation with shell scripting
• Should have good analysis skills, good comprehension and abstraction capability
• Experience / expertise in Docker
• Good experience working on Databases Oracle/MySQL: SQL Queries, Joins, Views etc.
• Good understanding of C++ skills: STL, String Operations, Design Patterns, OOPS concepts
• Know-how of Eclipse
• CI (Continuous Integration), Jenkins, GIT
• Working experience with Agile methodology, JIRA

• - Software Developer with minimum 3 years of experience in developing C# WPF/Winforms applications.
• - Ability to understand requirements
• - Write effective and reusable code according to best practices.
• - Must be a dynamic, autonomous, and team-oriented individual.
• - Expertise in C#, WPF/ Winforms Oops Concept
• - Solid understanding of Object-Oriented design and concepts.
• - Good in logical and problem solving skills
• - Good analytical and debugging skills
• - Knowledge in design patterns
• - Knowledge of unit testing framework, code analysis tools

• Notice Period: Immediate to 30 days
• Years of Exp: 3+ years
• Location: Pan India
• Work Location: Bangalore(WFO only)