AI ML Engineer

at Aaizel International Technologies Pvt Ltd

AI ML Engineer

Aaizel International Technologies Pvt Ltd

Company

Home

AI ML Engineer

at Aaizel International Technologies Pvt Ltd

Posted by AaizelInternationalTechnologie PrivateLimited

4 - 8 yrs

₹6L - ₹10L / yr

Gurugram

Skills

Artificial Intelligence (AI)

Generative AI

Machine Learning (ML)

Python

Retrieval Augmented Generation (RAG)

Large Language Models (LLM) tuning

Large Language Models (LLM)

CI/CD

Generative Adversarial Network (GAN)

PyTorch

TensorFlow

Computer Vision

Docker

Apache Kafka

grafana

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.

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Role Overview

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.

Users love Cutshort

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Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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About Aaizel International Technologies Pvt Ltd

Founded :

2023

Type :

Products & Services

Size :

20-100

Stage :

Raised funding

About

Get accurate daily weather forecasts, real-time updates, and advanced weather data

Candid answers by the company

What is the location preference of jobs?

Gurugram, Haryana

Company social profiles

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Proficient in Lead Generation tools like LinkedIn Sales Navigator / Apollo / Lusha / Zoom Info
Ability to analyze data and sales metrics to inform decision-making.
Self-motivated, with a strong work ethic and a results-driven approach.

Java Backend Developer

Top Fin-tech startup in Bangalore

Agency job

via Multi Recruit by Paramesh P

Bengaluru (Bangalore)

3 - 5 yrs

₹10L - ₹15L / yr

Java

BACKEND

Role: Backend Developer-SDE2

3-5 years of exp into

Responsibilities:

Work on the development backend systems for our first product.
Build reliable, secure and performant backend systems.
Drive test coverage and continuous delivery automation within the team.

Requirements:

3-4 years of software development experience.
Strong computer science fundamentals.
Good knowledge of Java ecosystem.
Can write code that is readable, maintainable and performant.
Good understanding of relational databases, transactions, entity-relationship modeling.
Comfortable writing multi-threaded programs.

Role: Backend Developer-SDE2

3-5 years of exp into

Responsibilities:

Work on the development backend systems for our first product.
Build reliable, secure and performant backend systems.
Drive test coverage and continuous delivery automation within the team.

Requirements:

3-4 years of software development experience.
Strong computer science fundamentals.
Good knowledge of Java ecosystem.
Can write code that is readable, maintainable and performant.
Good understanding of relational databases, transactions, entity-relationship modeling.
Comfortable writing multi-threaded programs.

Manual tester

at Creative Galileo Edtech Pvt Ltd

1 recruiter

Posted by Anunay Kumar

Remote, Mumbai

0 - 5 yrs

₹1L - ₹2L / yr

Game Testing (QA)

Manual testing

Software Testing (QA)

Game testing and excellent communication skills. Need someone who can double up for game submission as well

Senior Automation Tester

at appzui

3 recruiters

Posted by Soma Theganahally

Remote, Bengaluru (Bangalore)

3.5 - 6 yrs

₹8L - ₹15L / yr

Test Automation (QA)

Selenium

Automation

Appium

About Us

We help our customers to Go Digital at 3x Less Cost and 3x Less Time!

appZUI nGage, our App-as-Service platform, accelerates the digital idea to profit journey. Serving more than 250K consumers in US, UK, Switzerland, Australia, India and other geographies with several exciting digital transformations.

Know more:http://bit.ly/az-godigital">http://bit.ly/az-godigital

Job Description

Role: Senior Automation Tester

Responsibilities:

Design, develop and deliver various digital product test automation solutions
Mentor and develop various team members

Skills & Capabilities:

Structured business system analysis
Data/metrics driven goal
Test driven development
Excellent communication - both written and oral
Automation testing

UI - Selenium, Appium
API - JMeter
Load testing - Docker based multi load instances of JMeter

Gherkins & Cucumber
Web, API and/or Mobile testing experience in BDD frameworks

What you can expect from us:

Product engineering culture: hypothesis-develop-test-evolve
Failures are part of learning and growing
Organization structure and processes to maximize creativity and openness
Success is about 5 WINS: Customer, Employee, Supplier, Society and Investor

Selection process

Written test - online (45-60min) - covering fundamentals of software, hardware, networking, puzzles etc
Hands on challenge (4-6hrs) -Hands on coding challenge to test the problem solving and implementation skills
Face to face (video call) discussion

About Us

We help our customers to Go Digital at 3x Less Cost and 3x Less Time!

Know more:http://bit.ly/az-godigital">http://bit.ly/az-godigital

Job Description

Role: Senior Automation Tester

Responsibilities:

Design, develop and deliver various digital product test automation solutions
Mentor and develop various team members

Skills & Capabilities:

Structured business system analysis
Data/metrics driven goal
Test driven development
Excellent communication - both written and oral
Automation testing

UI - Selenium, Appium
API - JMeter
Load testing - Docker based multi load instances of JMeter

Gherkins & Cucumber
Web, API and/or Mobile testing experience in BDD frameworks

What you can expect from us:

Product engineering culture: hypothesis-develop-test-evolve
Failures are part of learning and growing
Organization structure and processes to maximize creativity and openness
Success is about 5 WINS: Customer, Employee, Supplier, Society and Investor

Selection process

Written test - online (45-60min) - covering fundamentals of software, hardware, networking, puzzles etc
Hands on challenge (4-6hrs) -Hands on coding challenge to test the problem solving and implementation skills
Face to face (video call) discussion

Security Lead

at Kite

1 recruiter

Posted by Afnan Shakeel Ahmed

NCR (Delhi | Gurgaon | Noida)

5 - 13 yrs

₹16L - ₹21L / yr

malware prevention

Vulnerability scanning

Penetration testing

Computer Security

Kite’s mission is to empower everyone with flexible, secure, and accessible mobile finance. We’re building a new-age financial system from the ground up to bring about full financial inclusion in India – a platform that can rapidly scale to millions of users and billions of transactions worldwide. The confidentiality and security of our users’ information are central to building dependable, new-age platforms. We’re looking for an experienced Security Lead to design, implement, and evaluate security systems and policies at Kite. Here’s a glimpse into your work at Kite – you will: • Enhance security team accomplishments through planning and mentorship of team members • Determine security requirements through business strategy research and evaluation, vulnerability assessments, platform studies, and cost estimates • Implement, maintain, and enhance security systems through specification of intrusion detection methodologies; installation and calibration of equipment and software; provision of technical support; and preparation of security reports and other documentation • Drive end-to-end PCI and other required certifications It’s essential that you: • Have at least 6 years of hands-on leadership experience in developing solutions with a concentrated focus on performance, scalability, and reliability; and in performing network and application security penetration testing and/or threat assessments • Have at least 6 years of experience with commercial and open-source security technologies (e.g. malware prevention, DLP, IDS/IDP, cryptography, vulnerability scanning and penetration testing) and protocols and tools (e.g. SSH, SSL/TLS/ snort, port scanners, etc.) • Have an educational or equivalent background in Computer Science, • Information Security or a similar Engineering discipline • Maintain networks in security communities and participate in education opportunities to gather knowledge of emerging security standards and platforms We’d love it if you have experience in: • Identity management solutions (e.g. SailPoint, Centrify, CyberArk, Radiant Logic) • Application and infrastructure hardening techniques • IT networking and heterogeneous computing environments (network routing/switching, UNIX, Windows, virtualized infrastructures) Cloud computing, specifically AWS and Microsoft Azure environments • IT security related audits such as NIST 800-53, DoD 8500.2, or other relevant frameworks

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