Job Description

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