
AI Engineer
5 days ago
Responsibilities
1. AI Model Development
- Research, design, and build machine learning (ML) and deep learning (DL) models.
- Select appropriate algorithms for classification, regression, clustering, NLP, or computer vision tasks.
- Train, validate, and fine-tune models for high accuracy and efficiency.
2. Data Preparation & Management
- Collect, clean, and preprocess structured and unstructured data.
- Perform feature engineering and data augmentation.
- Work with databases, big data frameworks, and cloud storage.
3. Deployment & Integration
- Deploy AI/ML models into production using APIs, cloud platforms, or edge devices.
- Build scalable AI pipelines using MLOps practices (CI/CD, automation, monitoring).
- Collaborate with software engineers to integrate AI into products and services.
4. Performance Optimization
- Monitor model performance in real-world scenarios.
- Perform hyperparameter tuning, optimization, and retraining as needed.
- Ensure robustness, efficiency, and low latency of deployed models.
5. Research & Innovation
- Stay updated with new AI architectures (transformers, generative AI, reinforcement learning).
- Experiment with state-of-the-art algorithms and techniques.
- Contribute to proofs of concept (PoCs) and innovative AI-driven applications.
6. Collaboration & Communication
- Work with cross-functional teams (data engineers, domain experts, product managers).
- Translate business requirements into AI solutions.
- Present technical findings and results to stakeholders in a clear way.
7. Ethics, Security & Compliance
- Ensure AI solutions are fair, unbiased, and explainable.
- Follow data privacy and security standards (GDPR, HIPAA, etc.).
- Build responsible and ethical AI systems.
Qualifications
- Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field.
- 2–3 years of experience in AI/ML model development and deployment.
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
- Expertise with ML/DL frameworks (TensorFlow, PyTorch, Keras, Hugging Face).
- Hands-on experience with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI).
- Solid knowledge of SQL/NoSQL databases, data engineering, and APIs.
- Strong grasp of mathematics, probability, statistics, and optimization.
Preferred Skills (Nice to Have)
- Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
- Familiarity with edge AI and deploying models on embedded systems.
- Experience in NLP, LLM fine-tuning, computer vision, or reinforcement learning.
- Proven record of leading AI projects from research to production.
Job Type: Full-time
Pay: From ₹15,000.00 per month
Ability to commute/relocate:
- Nagercoil, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred)
Work Location: In person
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