Job
Description
Job Title : AI/ML Intern Location : Gurgaon, India Employment Type : Internship (Paid) Stipend : As per Industry Standards About Aaizel Tech Labs Aaizel Tech Labs is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We are passionate about leveraging technology to develop high-performance products and cutting-edge solutions. As a growing startup, we seek dynamic individuals eager to work on transformative projects in AI and Machine Learning. Role Overview We are looking for a motivated AI/ML Intern to join our data science team. This internship offers hands-on experience with model development, data engineering, and deployment in real-world projects. You will collaborate with experienced professionals and contribute to initiatives spanning predictive analytics, computer vision, and more helping to shape the future of technology at Aaizel Tech Labs. Key Responsibilities 1. Model Development & Optimization • ML Model Implementation: Assist in designing, implementing, and deploying machine learning models for applications like predictive analytics and anomaly detection. • Deep Learning Exposure: Gain experience with deep learning frameworks by working with CNNs, RNNs, and exploring generative models (GANs) on guided projects. • Experimentation: Help run experiments and tune models using basic hyperparameter optimization techniques (Grid Search, etc.). 2. Data Engineering & Preprocessing • Data Preparation: Support the collection, cleaning, and preprocessing of datasets using libraries like Pandas and NumPy. • ETL Assistance: Assist in developing simple ETL pipelines to process data from diverse sources such as IoT sensors or satellite imagery. • Integration: Learn to integrate data from APIs and databases to build comprehensive datasets for analysis. 3. Research & Algorithm Development • Innovation Exposure: Research state-of-the-art machine learning techniques (e.g., Transfer Learning, Transformer models) and assist in applying these to ongoing projects. • Algorithm Exploration: Participate in team discussions to brainstorm new approaches for solving real-world problems in cybersecurity, climate monitoring, or geospatial data analysis. 4. Deployment & MLOps • Deployment Support: Gain hands-on experience deploying models using container technologies like Docker and basic CI/CD pipelines. • Cloud Platforms: Assist in experiments with cloud platforms (AWS, Azure, or GCP) for scalable model serving solutions. • Lifecycle Management: Learn best practices for model versioning, monitoring, and maintenance. 5. Performance Evaluation & Tuning • Model Metrics: Help evaluate model performance using metrics such as F1 Score, AUCROC, and other domain-relevant measures. • Tuning Assistance: Support the process of model tuning through guided experiments and parameter adjustments. 6. Collaboration & Code Quality • Team Integration: Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate AI solutions into end-to-end products. • Coding Standards: Contribute to maintaining high-quality codebases by following best practices and using version control (Git). • Documentation: Assist in documenting your work, including model specifications, experiments, and deployment processes. 7. Monitoring & Maintenance • Dashboard Support: Participate in the creation of monitoring dashboards (using tools like Grafana or Prometheus) to track model performance. • Feedback Loops: Help develop feedback mechanisms to retrain models based on real-time data and evolving application needs. Skills & Qualifications Required Qualifications: • Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. • Proficiency in Python and familiarity with libraries such as Pandas, NumPy, and scikit-learn. • Basic understanding of machine learning algorithms and experience (academic projects or internships) with model development. • Exposure to one or more deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. • Ability to work collaboratively in a team-oriented environment. • Strong analytical and problem-solving skills, with attention to detail. • Good written and verbal communication skills. Preferred Qualifications: • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and basic dashboarding. • Some experience with SQL and NoSQL databases. • Interest in cloud platforms (AWS, Azure, or Google Cloud) and containerization (Docker). • Knowledge of version control systems (Git) and basic CI/CD concepts. • Prior internship or project experience in AI/ML is advantageous. Learning Opportunities • Practical Projects: Work on real-world AI/ML projects that contribute directly to our product development. • Mentorship: Benefit from one-on-one guidance from experienced data scientists and machine learning engineers. • Skill Development: Gain exposure to industry-standard tools, frameworks, and best practices in AI and ML. • Cross-Disciplinary Exposure: Collaborate with experts in cybersecurity, geospatial analysis, and data engineering. • Career Growth: Develop your professional network and acquire skills that could lead to a full-time opportunity. Application Process Please submit your resume and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech Labs’ success. Send your application to hr@aaizeltech.com , bhavik@aaizeltech.com or anju@aaizeltech.com. Join Aaizel Tech Labs and be part of a team that’s shaping the future of Big Data & AI-driven applications! Show more Show less
