AI ML Engineer

Aaizel International Technologies Pvt Ltd; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Opportunities for continuous learning

Mentorship programs

Collaborative work culture

Engagement in innovative projects

Job summary

Aaizel International Technologies Pvt Ltd in Gurugram, Haryana is seeking an Associate AI/ML Engineer to drive innovation through the design and deployment of cutting-edge Machine Learning models. This role involves collaboration with cross-functional teams, mentoring junior engineers, and optimizing AI solutions across diverse projects in a dynamic tech environment.

The ideal candidate should possess a strong foundation in AI/ML frameworks and demonstrate leadership skills, bringing over 5 years of experience in the field. This is an exciting opportunity to influence technological innovations and work on impactful projects.

Qualifications

• 5+ years in Machine Learning, AI research, or a related field with proven track record.
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.

Responsibilities

• Lead the design, development, and deployment of advanced Machine Learning models.
• Architect and develop end-to-end ML solutions for various applications.
• Implement CI/CD pipelines for ML models, ensuring seamless updates.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Python

Generative AI

CI/CD

Generative Adversarial Networks (GAN)

PyTorch

TensorFlow

Docker

Computer Vision

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field

Tools

Django

FastAPI

Apache Kafka

Apache Spark

PostgreSQL

TimescaleDB

Grafana

Prometheus

Job description

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.

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full‑Time

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.

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.

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.

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.

Model Deployment and MLOps

• 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.
• 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.

Collaboration, Leadership, and Mentorship

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end‑to‑end products.
• 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)
• AI/ML Frameworks: PyTorch + Hugging Face Transformers + scikit‑learn
• Data Engineering: Apache Kafka + Apache Spark + Apache NiFi
• Database & Storage: PostgreSQL with TimescaleDB extension
• DevOps & Monitoring: Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana
• Media Processing: OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2

Required Skills & Qualifications

• 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: 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.