AI/ML Engineer at Apexon
Interview Preparation Plan
As an AI/ML Engineer at Apexon, you will be instrumental in developing and deploying cutting-edge machine learning solutions for a diverse clientele across industries such as BFSI, healthcare, and life sciences. This role involves managing the entire machine learning lifecycle, from architecting and configuring scalable ML/DL platforms to orchestrating complex ML workflows. You will collaborate closely with data scientists, architects, and DevOps engineers to integrate AI/ML capabilities into client solutions, ensuring seamless deployment and operational efficiency. Your work will focus on creating human-centric digital experiences and accelerating business transformation through advanced AI and machine learning. You'll be expected to leverage your expertise in programming languages, particularly Python, and integrate cloud technologies, such as Google Cloud Platform, into your solutions. A strong understanding of software development principles, including object-oriented programming and Agile methodologies, is crucial for success in this role. Apexon seeks candidates who are proactive problem-solvers, committed to continuous learning, and possess excellent communication skills for effective collaboration within diverse teams.
Key Responsibilities
- Develop and deploy machine learning models and solutions.
- Manage the end-to-end machine learning lifecycle, including platform configuration and workflow orchestration.
- Collaborate with cross-functional teams (data scientists, architects, DevOps) to integrate ML solutions.
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