Job Description :

Role Overview :

We are seeking an AI Engineer to join the project delivery team and contribute to the development of AI/ML and GenAI-based solutions.

The candidate should have hands-on experience in building, training, and deploying machine learning models, along with strong programming and problem-solving skills.

This role offers exposure to enterprise-scale AI systems, real-world data challenges, and modern AI engineering practices in an agile environment.

Key Responsibilities :

Development & Implementation :

- Develop, train, and optimize machine learning models using Python and standard ML frameworks.

- Work on AI use cases across areas such as NLP, Computer Vision, or predictive analytics.

- Implement data preprocessing, feature engineering, and model evaluation workflows.

- Integrate AI models into applications, APIs, or pipelines for production use.

- Debug and troubleshoot model performance and data-related issues.

Collaboration & Delivery :

- Work closely with team leads and senior engineers to translate requirements into AI solutions.

- Participate in sprint planning, daily stand-ups, and code/model reviews.

- Collaborate with data engineering, QA, and DevOps teams for smooth deployments.

- Support testing, validation, and tuning of AI models in staging and production environments.

Documentation & Testing :

- Document model logic, data assumptions, and experiment results.

- Write basic unit tests and validation checks for data and models.

- Assist in improving AI development processes, reusability, and efficiency.

Requirements :

Required Skills & Experience :

- 35 years of experience in AI/ML or data-driven application development.

- Proficiency in :

1. Programming : Python.

2. ML Frameworks : scikit-learn, TensorFlow, or PyTorch.

3. AI Domains : NLP, Computer Vision, or predictive analytics.

4. Data Handling : Pandas, NumPy, structured & unstructured data.

- Familiarity with REST APIs and integrating models into applications.

- Basic understanding of Agile/Scrum delivery practices.

- Exposure to Docker, CI/CD pipelines, or cloud platforms (AWS/Azure/GCP) is a plus.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.

- Experience working with LLMs, prompt engineering, or GenAI APIs (OpenAI / Azure OpenAI).

- Familiarity with vector databases or RAG-based workflows is an advantage.

- Exposure to enterprise or industrial AI use cases is a plus.

Soft Skills :

- Strong analytical and problem-solving mindset.

- Clear communication and collaboration skills.

- Willingness to learn new AI technologies and tools.

- Responsible, detail-oriented, and delivery-focused.