AI Engineer

Stedaxis Solutions PTY Ltd.

0 - 3 years

0 Lacs

nagercoil tamil nadu

Posted:1 month ago| Platform: Indeed logo

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Skills Required

ai model research design learning ml algorithms regression clustering vision data preprocess engineering deployment automation software tuning optimization efficiency latency reinforcement collaboration ethics security development programming numpy tensorflow pytorch keras aws sagemaker azure vertex sql nosql mathematics probability statistics docker kubernetes mlflow planning

Work Mode

On-site

Job Type

Full Time

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

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