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 Required
Machine Learning, cloud platform , AI ML, Python, Deep Learning
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