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CALLISTOFUSION
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Artificial Intelligence Engineer

Artificial Intelligence Engineer

CALLISTOFUSION

0 years

0 Lacs

India

Posted:1 day ago| Platform:

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Skills Required

ai developer duration aws engineering design reasoning openai content summarization reinforcement learning simulation algorithms prototype model evaluation governance deployment versioning mlflow pytorch tensorflow data preprocessing analysis extraction containerization ml support git workflow

Work Mode

Remote

Job Type

Contractual

Job Description

Hi,

AI Developer

OFFSHORE REMOTE Europe time zone -Central European Time (CET).

Working hours will be 5 am/ 5:30am/6 am to 2 pm/2:30 pm / 3 pm IST

Position:

Duration: 6-month (possibilities of further extension)

Annual Salary: DOE

Work Location:

Required Experience:

Primary Skills

Knowledge of Python
AWS Lambda
AWS Bedrock

Detailed JD as follows:

1. Prompt Engineering Techniques – Advanced

Design effective prompts for large language models to optimize accuracy, reduce hallucinations, and guide reasoning using few-shot, zero-shot, and chain-of-thought approaches.
Work with foundation models via APIs (e.g., OpenAI, AWS Bedrock) to build real-world applications across domains.

2. Generative Modeling Techniques – Intermediate

Implement and experiment with generative models like GPT, BERT, or other Transformer-based architectures.
Apply pre-trained models in NLP, content generation, or summarization tasks using platforms like Hugging Face or AWS Bedrock.

3. Agentic AI and Reinforcement Learning – Intermediate

Understand and integrate basic agentic frameworks that combine reasoning, memory, and planning.
Work with simulation environments (e.g., OpenAI Gym) and apply standard reinforcement learning algorithms for prototype development.

4. Building Responsible and Ethical AI – Intermediate

Implement fairness-aware model evaluation and explainability practices using tools like SHAP or LIME.
Follow best practices for privacy, bias mitigation, and governance in AI systems.

5. Cloud Deployment and MLOps – Intermediate

Deploy AI models using
AWS Lambda
,
AWS Bedrock
, and
SageMaker
for serving and scalability.
Participate in building MLOps pipelines and model versioning using MLflow or similar tools.

6. Machine Learning Frameworks (PyTorch/TensorFlow) – Beginner

Train and fine-tune small-scale models using PyTorch or TensorFlow under guidance or for prototyping.
Leverage existing models via transfer learning for quick deployment.

7. Data Preprocessing and Feature Engineering – Beginner

Clean and transform raw data for modeling tasks.
Perform exploratory data analysis (EDA) and develop basic feature extraction pipelines.

8. Containerization and CI/CD – Beginner

Learn and assist in containerizing ML applications using Docker.
Support implementation of CI/CD pipelines and Git-based workflow integrations.

More Jobs at CALLISTOFUSION

Artificial Intelligence Engineer

India

Experience: Not specified

Salary: Not disclosed

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