Digital & AI/ML Senior Engineer

- What are the ongoing responsibilities of AI/ML Senior Engineer 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. - What ideal qualifications, skills & experience would help someone to be successful Bachelor s degree in Computer Science, Data Science, Machine Learning, or a related field. A master s 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: - 2-8 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. Skills: Machine Learning, Deep Learning, cloud platform , AI ML, Python Experience: 2.00-8.00 Years