- Develop and implement Machine Learning models to solve business problems.

- Build AI-powered applications and automate business workflows.

- Collaborate with Data Scientists to prepare datasets and improve model performance.

- Assist in deploying and monitoring AI/ML models in production environments.

- Integrate AI solutions with existing software applications and APIs.

- Perform data preprocessing, feature engineering, and model evaluation.

- Research and explore emerging AI technologies and best practices.

- Analyse data and generate actionable insights for business stakeholders.

- Troubleshoot and optimize AI model performance.

- Document AI solutions and collaborate effectively within cross-functional teams.

Requirements :

- 1 - 3 years of experience in AI, Machine Learning, or Data Science.

- Strong programming skills in Python.

- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.

- Basic understanding of Deep Learning, NLP, or Computer Vision.

- Familiarity with SQL and data preprocessing techniques.

- Knowledge of REST APIs and integrating ML models into applications.

- Exposure to Docker, Git, and cloud platforms (AWS, Azure, or GCP) is a plus.

- Understanding of Generative AI, LLMs, LangChain, or RAG is an added advantage.

- Good analytical, problem-solving, and communication skills.

- Eagerness to learn new AI technologies and work in a collaborative environment.