# AI Engineer

**Company**: YipitData
**Location**: Remote, India
**Work arrangement**: remote
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/yipitdata/jobs/8327847?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_accb62af-bff

## Description

YipitData is seeking an AI Engineer to join their team remotely from India. As an AI Engineer, you will assist in developing, training, and fine-tuning machine learning models, work with large datasets, implement and optimize deep learning models, and collaborate with software engineers to deploy AI models into production environments.

Responsibilities:

- Assist in the development, training, and fine-tuning of machine learning (ML) models.

- Work with large datasets, including data cleaning, preprocessing, feature engineering, and preparing high-quality training data.

- Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Support research and development of AI applications in natural language processing (NLP), large language models (LLMs), and predictive analytics.

- Collaborate with software engineers to deploy and integrate AI models into production environments, including model-integrated API services.

- Conduct experiments, analyze results, and enhance model accuracy, efficiency, latency, and performance.

- Stay updated with the latest advancements in AI and machine learning.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.

- 3 to 4 years of relevant hands-on work experience.

- Solid understanding of machine learning algorithms and deep learning models.

- Hands-on experience with Python and AI frameworks (TensorFlow or PyTorch).

- Familiarity with data processing libraries like Pandas, NumPy, and regular expressions.

- Understanding of model evaluation techniques and performance metrics.

- Experience with model training, fine-tuning, and experimentation.

- Familiarity with NLP and LLM applications.

Nice to Have:

- Experience with NLP and LLM frameworks (Hugging Face Transformers, spaCy).

- Exposure to cloud AI services (AWS SageMaker, Google Vertex AI, Azure AI).

- Knowledge of MLOps practices, including CI/CD for ML models.

- Familiarity with AI ethics, bias detection, and model interpretability.

Benefits:

- Competitive salary.

- Comprehensive benefits and perks.

- Opportunity for growth and learning.

- Flexible work arrangements.

## Skills

### Required
- Machine Learning Algorithms
- Deep Learning Fundamentals
- PyTorch or TensorFlow
- Model Development
- Model Evaluation Techniques
- NLP and LLMs
- Cloud AI Services
- MLOps Practices
- AI Ethics

### Nice to have
- Hugging Face Transformers
- spaCy
- AWS SageMaker
- Google Vertex AI
- Azure AI
- CI/CD for ML models

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/yipitdata/jobs/8327847?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)