Product Designer

Job Title: Senior Tableau Developer

Location: Gurgaon

Experience: 4–10 Years

Salary: Negotiable

Job Summary:

We need a Senior Tableau Developer with a minimum of 4 years to join our BI team. The ideal candidate will be responsible for designing, developing, and deploying business intelligence solutions using Tableau.

Key Responsibilities:

·         Design and develop interactive and insightful Tableau dashboards and visualizations.

·         Optimize dashboards for performance and usability.

·         Work with SQL and data warehouses (Snowflake) to fetch and prepare clean data sets.

·         Gather and analyse business requirements, translate them into functional and technical specifications.

·         Collaborate with cross-functional teams to understand business KPIs and reporting needs.

·         Conduct unit testing and resolve data or performance issues.

·         Strong understanding of data visualization principles and best practices.

Tech. Skills Required:

·         Proficient in Tableau Desktop (dashboard development, storyboards)

·         Strong command of SQL (joins, subqueries, CTEs, aggregation)

·         Experience with large data sets and complex queries

·         Experience working on any Data warehouse (Snowflake, Redshift)

·         Excellent analytical and problem-solving skills.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish: 88O 27 49 743

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

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 a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Skills Requirement: Skills:

. Prior work experience in application security is mandatory.

Should have solid experience in Penetration testing.

Candidates should be familiar with Azure WAF.

Candidates must have excellent verbal and written communication skills.

Candidates should be familiar with waterfall and agile development processes and have experience integrating secure development practices into both models.

6. Familiarity with a variety of development and testing tools

7. Candidates must be able to explain all vulnerabilities and weaknesses in the OWASP Top 10, WASC TCv2, and CWE 25 to any audience and discuss effective defensive techniques.

8. Familiarity with industry standards and regulations including PCI, FFIEC, SOX, and ISO27001 is desired.

9. linux Experienced in tools like Snyk, Tenable WAS, Invicti, Burp suite, Postman, kali

10. Experience in conducting Threat Modelling using STRIDE, PASTA etc

Role Overview:

We are looking for a detail-oriented Finance Intern to support our finance team with day-to-day accounting and financial operations. This is a great opportunity to gain hands-on experience in corporate finance.

Key Responsibilities:

• Assist in maintaining financial records and reports
• Support invoice processing and expense tracking
• Help with bank reconciliations and data entry
• Assist in preparing MIS reports and financial statements
• Work on basic analysis and documentation tasks

Requirements:

• Pursuing or recently completed a degree in Finance, Accounting, or related field
• Basic understanding of accounting principles
• Proficiency in MS Excel
• Good analytical and communication skills
• Attention to detail and willingness to learn

·        Good experience & strong knowledge in Python programming with Object Oriented Programming methodologies

·        Good experience & knowledge in web/mobile application UI automation & related tools/packages (like selenium/appium)

·        Good exposure to different testing methodologies & QA exposure and any standard test framework (like pytest, unittest etc)

·        Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve blockers independently

·        Self-driven, Accountability and ownership of problems to achieve team goals & ability to contribute independently 

·        Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member’s ideas 

·        Hands on experience with different tools - Testing tool, Version Control systems (Git), Test Management Software, Bug Tracking software and CI tools (Jenkins etc.)

UI Development - Intern

Converts into a full time ‘UI Developer’ position based on performance

A UI Developer, for an early-stage Analytics startup who can help us translate UX designs into a responsive and rich user interface. Also help in improving design/functionality of product. End goal is to achieve product-market objectives

The candidate will have rich learning into what goes into designing, developing, and scaling a product from scratch. A chance to grow into a UI Development Owner in medium term

Responsibilities

1. Own UI Development closely with UX / Technology Owner

2. Implement and maintain product UI modules/sub-systems.

3. Perform bug verification, release testing and support for assigned products.

4. Conduct unit testing and integration testing.

5. Make sure the delivered product matches the business requirements.

Expectations from candidate

1. Ability: Good at logical thinking, problem solving

2. Inclination: Curious and strong willingness to learn from problems, write good code

3. Knowledge: Basics of UI Development (Some academic degree/certification or Prior experience/Projects preferred), Data visualization

4. Languages/Frameworks: HTML, CSS, JavaScript, ReactJS, NextJS

5. Interest in product focused work in a fast-moving start-up environment

6. Attitude: We are looking for a person with an owner mindset who can partner with us in building our product with a lot of commitment. We like people who are curious problem solvers and are interested in learning with us and working hard.

What we offer

1. Great culture focused on outcomes through learning and experimentation

2. Mentoring by experienced professionals from pedigreed backgrounds (IIT/IIMs)

3. Growth, ownership, and flexibility to achieve your goals.

As a Data Engineer, your role will encompass: 

• Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture using Scala, Python, Talend etc.   
• Gather and address technical and design requirements.  
• Refactor existing applications to optimize its performance through setting the appropriate architecture and integrating the best practices and standards. 
• Participate in the entire data life-cycle mainly focusing on coding, debugging, and testing. 

• Troubleshoot and debug ETL Pipelines. 
• Documentation of each process. 

Technical Requirements: - 

• BSc degree in Computer Science/Computer Engineering. (Masters is a plus.) 
• 2+ years of experience as a Data Engineer. 

• In-depth understanding of core ETL concepts, Data Modelling, Data Lineage, Data Governance, Data Catalog, etc. 
• 2+ years of work experience in Scala, Python, Java. 
• Good Knowledge on Big Data Tools such as Spark/HDFS/Hive/Flume, etc. 
• Hands on experience on ETL tools like Talend/Informatica is a plus. 
• Good knowledge in Kafka and spark streaming is a big plus. 

• 2+ years of experience in using Azure cloud and its resources/services (like Azure Data factory, Azure Databricks, SQL Synapse, Azure Devops, Logic Apps, Power Bi, Azure Event Hubs, etc). 
• Strong experience in Relational Databases (MySQL, SQL Server)  
• Exposure on data visualization tools like Power BI / Qlik sense / MicroStrategy 
• 2+ years of experience in developing APIs (REST & SOAP protocols). 
• Strong knowledge in Continuous Integration & Continuous Deployment (CI/CD) utilizing Docker containers, Jenkins, etc. 

• Strong competencies in algorithms and software architecture. 
• Excellent analytical and teamwork skills. 

 Good to have: - 

• Previous on-prem working experience is a plus. 
• In-depth understanding of the entire web development process (design, development, and deployment) 

• Previous experience in automated testing including unit testing & UI testing. 

Role description:

We are looking for Senior Software Engineer with expertise and experience in designing and developing

applications including new developments, enhancements, maintenance and support. The role involves continuous collaboration with team, partners.

Candidate description:

Should have:

 Passion for technology and financial domain with demonstrated ability to learn quickly

 Delivery focus with ability to take full ownership

 Strong commitment to quality and delivery

 Strong communication skills

Skills/Knowledge and experience:

 Object oriented design and development skill

 Webservices - Node JS/Express JS, Rest API

 Frontend – Angular (Javascript and Typescript), React

 Unix and Shell scripting

 SQL Proficiency, good to know MongoDB