- Developing AI-powered tools : Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use.

- Conducting research : Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums.

- Proof-of-concept (PoC) work : Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making.

- Collaborating with teams : Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency.

- Data preprocessing and analysis : Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models.

- Integration and deployment : Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment.

- Documentation and reporting : Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders.

- Mentorship and knowledge sharing : Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment.

Qualitifications and Skills required :

- Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred.

- Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis.

- Proficiency in programming languages such as Python, R, or Java.

Work Experience :

- 4-8 years of experience in AI/ML engineering or a related field.

- Proven track record of developing and deploying AI solutions in a production environment.

- Experience with data preprocessing, model training, and optimization techniques.

- Familiarity with cloud platforms and tools for AI/ML development and deployment.

- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.