Job Description

Role Overview
We are seeking an Sr. 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

• 5-7 years of experience in AI/ML or data-driven application development.

• Proficiency in:

• Programming: Python

• ML Frameworks: scikit-learn, TensorFlow, or PyTorch

• AI Domains: NLP, Computer Vision, or predictive analytics

• 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

• Bachelor's or Master's 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.

Benefits

• Opportunity to work with a dynamic and fast-paced engineering IT organization.

• Be part of a company that is passionate about transforming product development with technology.

Skills Required