Sales Coordinator

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

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 Senior 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:
• 4+ 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.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Position: Sales Manager

Location: Panipat

Experience required: Minimum 3 years (B2B Sales) – Field sales

Working Days: 5.5 days working (First 2 Saturdays and all Sundays are off)

Job Type: Full Time

Requirement: Bike and Laptop (Mandatory)

Role Description

We are looking for a Sales specialist to join our team.This is a full-time, on-field sales role. The ideal candidate will be responsible for managing and nurturing B2B leads, as well as acquiring new clients to drive business growth.

Key Responsibilities:

 Drive B2B sales growth and achieve revenue targets in the industrial segment.

 Utilize platform to generate leads and expand business opportunities.  Develop and implement effective sales strategies for market penetration and client acquisition.

 Build, mentor, and manage a sales team to enhance performance and productivity.

 Identify new business opportunities and maintain strong relationships with existing clients.

 Conduct market research to understand industry trends and competitor activities.

 Coordinate with internal departments to ensure timely delivery and customer satisfaction.

 Travel to meet clients, attend meetings, and explore new business prospects.

Eligibility Criteria:

 Minimum 3 years of experience in B2B sales.

 Hands-on experience working with IndiaMART is mandatory.

 Good knowledge and practical exposure to Alibaba.com.

 Proven experience in team handling and team building.

 Strong understanding of industrial products and market dynamics.

Note: Only male candidates are preferred for this role as of now

Tele sales Executive (BL,PL,Credit card,LAP )

Location: Whitefield, Bangalore

Age Limit: 19 – 30 years

Salary: ₹21000 – ₹28,000 (based on interview) + Incentives

Education: 12th Pass & Above (No Technical background Required)

CIBIL score required above 600 above (mandatory)

Job Timing: 9:30 AM – 7:30 PM (Rotational Shift)

Language-Hindi and English Fluent Mandatory

Job Description:

We are seeking an experienced QA Automation Engineer with knowledge in the finance domain to join our team. The ideal candidate will combine strong technical testing expertise with an understanding of financial systems and processes. You will be responsible for designing and implementing automation frameworks to ensure the quality, reliability, and compliance of our financial applications across trading, risk management, payments, and reporting systems.

Key Responsibilities:

 Design, develop and maintain robust test automation frameworks for financial applications

 Create detailed test plans, test cases, and test scripts based on business requirements and user stories

 Execute functional, regression, integration, and API testing with a focus on financial data integrity

 Validate complex financial calculations, transaction processing, and reporting functionalities

 Collaborate with Business Analysts and development teams to understand requirements and ensure complete test coverage

 Implement automated testing solutions within CI/CD pipelines for continuous delivery

 Perform data validation testing against financial databases and data warehouses

 Identify, document, and track defects through resolution using defect management tools

 Verify compliance with financial regulations and industry standards

 Generate test metrics and reports to provide insights into application quality and testing progress

 Participate in performance and security testing of financial systems

Technical & Domain Skills Required:

 Strong knowledge of software testing methodologies, processes, and best practices

 Proficiency in automation tools and frameworks (Selenium, Cypress, Cucumber, TestNG, JUnit, etc.)

 Experience with API testing using tools like Postman, SoapUI

 Working knowledge of SQL and experience with database testing

 Familiarity with version control systems (Git) and CI/CD tools (Jenkins, TeamCity, Azure DevOps)

 Scripting/programming skills in at least one language such as Java, Python, or JavaScript

 Understanding of financial concepts, workflows, and terminology

 Experience testing financial systems in areas such as banking, payments, trading, risk management, or reporting

 Knowledge of financial messaging standards and protocols is a plus

 Experience with performance testing tools (JMeter, LoadRunner) and security testing concepts

Qualifications:

 Bachelor's or Master's degree in Computer Science, IT, or related field

 5+ years of experience in software quality assurance with at least 3 years focused on test automation

 Prior experience working in financial services sector (banking, capital markets, wealth management, etc.)

 ISTQB certification or equivalent QA certifications preferred

 Knowledge of Agile and DevOps methodologies

 Financial domain certifications or knowledge is a plus

Soft Skills:

 Strong analytical and problem-solving abilities

 Excellent attention to detail and quality-oriented mindset

 Effective communication skills to collaborate with cross-functional teams

 Ability to understand and translate complex financial requirements into test scenarios

 Self-motivated with the ability to work independently and as part of a team

 Adaptability to changing priorities in a fast-paced environment

If you have strong QA automation skills and experience testing financial applications, we'd love to hear from you! You will play a crucial role in ensuring the quality and reliability of our financial systems

• A minimum of 4-10 years of experience into data integration/orchestration services,  service architecture and providing data driven solutions for client requirements 
• Experience on Microsoft Azure cloud and Snowflake SQL, database query/performance tuning. 
• Experience with Qlik Replicate and Compose tools(Change Data Capture) tools is considered a plus 
• Strong Data warehousing Concepts, ETL tools such as Talend Cloud Data Integration tool is must 
• Exposure to the financial domain knowledge is considered a plus. 
• Cloud Managed Services such as source control code Github, MS Azure/Devops is considered a plus. 
• Prior experience with State Street and Charles River Development ( CRD) considered a plus. 
• Experience in tools such as Visio, PowerPoint, Excel. 
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus. 
• Strong SQL knowledge and debugging skills is a must.

Desired Candidate Profile

• Develop & implement account plans, business capture strategies and proposals.
• Undertake executive-level engagement with target customer to present the product & relate it to business growth prospects.
• Derive and close business opportunities with target accounts
• Lead & manage Product Presentations.
• Establish, develop and manage key relationships towards business growth.

Your skills and experience should cover:

• Excellent programming skills using JavaScript or TypeScript

• 2+ years of relevant software engineering experience

• Proven Node.JS programming skills with knowledge on how to scale huge Node.JS setups

• Experience profiling and optimizing Node.JS applications

• API design and development best practices

• Restful web services, service-oriented architectures

• SQL and NoSQL expert

• Hands-on experience with developing automated tests

• Test-driven development (TDD)

• Experience with SCM systems like Git/SVN

• Experience in Agile software development and continuous Integration systems like Jenkins

The following areas are highly advantageous:

• Experience with Express and Knex

• Experience with Loopback (https://loopback.io/" target="_blank">https://loopback.io/ TypeScript framework)

• Experience/Interest with MySQL or PostgreSQL database