Aaizel International Technologies Pvt Ltd
Website:
aaizeltech.com
Job details:
As discussed, Please find the job description for AI/ML Engineer - Intern position below:
Job Description: AI/ML Engineer
Location: Gurgaon, Haryana, India
Position: AI/ML Engineer -Intern
Stipend: As per industry standards
Key Responsibilities:
- Model Development and Optimization:
- Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
- Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.
- Advanced Data Engineering:
- Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
- Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.
- Algorithm Research and Development:
- Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
- Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.
- Deployment and MLOps:
- Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
- Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.
- Performance Evaluation and Tuning:
- Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
- Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.
6. Performance Evaluation and Tuning:
- Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
- Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.
- 7. Collaboration and Code Quality:
- Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
- Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.
8.Monitoring and Maintenance:
- Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
- Implement feedback loops for model retraining based on real-time data and evolving application needs.
Required Skills, Qualification and Experience:
Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier institutions.
- Technical Proficiency:
- Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
- Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
- Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
- Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
- Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and deliveryHow to Apply
Please submit your resume and a cover letter outlining your relevant experience and how you can
contribute to Aaizel Tech success. Send your application to hr@aaizeltech.com, or smriti@aaizeltech.com.
Join Aaizel Tech and be part of a team that’s shaping the future of Big Data & AI-driven
applications!
Click on Apply to know more.