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    Home/Jobs/Associate AI/ML Engineer

    Associate AI/ML Engineer

    Aaizel International Technologies Pvt Ltd

    Gurugram
    5-8 years
    Today
    ₹6–10 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Transformer
    Hugging Face
    Transfer Learning
    AutoML
    Reinforcement Learning
    GAN
    Deep Learning
    CNN
    RNN
    Python
    Django
    FastAPI
    PyTorch

    Description

    Aaizel Tech is a pioneering tech startup focused on cybersecurity, AI, and geospatial solutions. The role involves leading design, development, and deployment of advanced AI/ML models and mentoring a team.

    Company: Aaizel International Technologies Pvt Ltd

    Role: Associate AI/ML Engineer

    Location: Gurugram, Haryana

    Experience:

    • 4 - 8 years
    • 5+ years in Machine Learning, AI research, or related field with production-level AI solutions experience

    Key Skills:

    • Machine Learning
    • AI
    • Python
    • PyTorch
    • TensorFlow
    • scikit-learn
    • Hugging Face Transformers
    • Pandas
    • NumPy
    • PySpark
    • Apache Kafka
    • Apache Spark
    • Apache NiFi
    • PostgreSQL
    • TimescaleDB
    • Docker
    • Kubernetes
    • GitLab CI/CD
    • Prometheus
    • Grafana
    • OpenCV
    • FFmpeg
    • Tesseract OCR
    • Wav2Vec2
    • Deep Learning
    • Reinforcement Learning
    • Generative Models
    • Transfer Learning
    • Transformer Models
    • AutoML
    • NLP
    • Computer Vision
    • Anomaly Detection
    • MLOps
    • Cloud Platforms (AWS, Azure, GCP)
    • Model Serving (TensorFlow Serving, ONNX, TorchServe)

    Qualification:

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

    Role Focus:

    • Design and develop end-to-end ML solutions including predictive analytics, anomaly detection, computer vision, and NLP
    • Utilize advanced ML techniques such as deep learning, reinforcement learning, and generative models
    • Fine-tune model parameters using hyperparameter tuning techniques
    • Optimize models for accuracy and inference speed
    • Build robust ETL pipelines and integrate data from diverse sources
    • Implement data cleansing, feature engineering, and transformation pipelines
    • Conduct research on state-of-the-art ML techniques and innovate new algorithms
    • Develop proof-of-concept models and prototypes
    • Deploy models using containerization and orchestration tools
    • Work with cloud platforms and model serving solutions for inference
    • Implement CI/CD pipelines for ML models and develop monitoring dashboards
    • Collaborate with cross-functional teams to integrate AI solutions
    • Provide technical leadership and mentorship to junior engineers
    • Participate in code reviews and maintain documentation

    Additional responsibilities:

    • Drive innovation by integrating state-of-the-art research with scalable production systems
    • Foster a culture of continuous learning
    • Present complex technical concepts to diverse stakeholders
    • Work in a fast-paced, dynamic environment

    Other:

    • Engage in cutting-edge AI/ML projects influencing product strategy and innovation
    • Opportunities for continuous learning, mentorship, and career advancement
    • Collaborative culture with a diverse team of experts
    • Play a key role in shaping AI-driven solutions and driving real-world impact

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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