AI/ML Engineer

We are looking for a talented AI/ML Engineer to design, develop, and deploy intelligent machine learning solutions that solve real-world business problems. The successful candidate will collaborate closely with software engineers, product teams, and stakeholders to create scalable, production-ready AI systems that drive innovation and efficiency.

Key Responsibilities

- Design, develop, train, and deploy machine learning and AI models tailored to business needs.
- Work extensively with both structured and unstructured data, including text, images, logs, and other datasets.
- Develop and fine-tune models in machine learning, deep learning, natural language processing (NLP), and generative AI.
- Integrate AI/ML models into web and software applications using APIs.
- Optimize models for accuracy, performance, scalability, and reliability to ensure robust solutions.
- Monitor model performance continuously and perform retraining or improvements as necessary.
- Build data preprocessing and feature engineering pipelines to support model development.
- Maintain comprehensive technical documentation covering models, workflows, and deployment processes.
- Adhere to best practices concerning data security, privacy, and responsible AI principles.

Required Qualifications

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong proficiency in Python programming language.
- Hands-on experience with machine learning and deep learning frameworks.
- Practical knowledge of TensorFlow, PyTorch, and/or Scikit-learn.
- Familiarity with NLP, computer vision, or generative AI techniques.
- Experience integrating AI models with applications through APIs.
- Working knowledge of SQL and NoSQL databases.
- Understanding of model evaluation methods and performance metrics.

Preferred Qualifications and Benefits

- Experience working with large language models (LLMs) and platforms such as OpenAI, Hugging Face, LangChain, and Retrieval-Augmented Generation (RAG).
- Background in MLOps, including model deployment and monitoring in production environments.
- Cloud computing experience with AWS, Azure, or Google Cloud Platform (GCP).
- Development experience in chatbots or AI-driven automation solutions.
- Knowledge of data pipelines and ETL (Extract, Transform, Load) processes.

Additional Information

Candidates should be prepared to work in-person at the office location. The working hours for this role are from 3:00 PM to 12:00 AM, so flexibility with night shifts is required. During the application process, candidates may be asked about their years of experience as an AI Engineer, current and expected salary, and any potential commute concerns related to the office location.

This role offers an exciting opportunity to contribute to cutting-edge AI projects within a collaborative and dynamic environment. If you are passionate about leveraging AI and machine learning to solve complex challenges and eager to work with the latest technologies, we encourage you to apply.