Senior Analyst - AI and Machine Learning Engineering

S&C Global Network - AI - CMT Engineering -Associate

Job Title -  S&C Global Network – AI ML – CMT Eng – Senior Analyst

Management Level : 10- Senior Anaylst

Location: Open

Must have skills: Gen AI/ ML

Good to have skills: Gen AI/ ML Ops API, Integration architecture, microservices

Job Summary: 

Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests.You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities.

Roles & Responsibilities: 

• Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement.
• Provide strategic recommendations to enhance the overall ML capability and align it with business objectives.
• Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring.
• Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems.
• Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions.
• Proactively identify opportunities for ML and / or Gen AI applications within the organization.
• Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements..

Professional & Technical Skills: 

• Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
• Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps.
• Demonstrable hands-on experience in developing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform.
• Proven experience in implementing Generative AI solutions, including incubation, design, and deployment.
• Proficiency in deep learning frameworks such as TensorFlow and PyTorch.
• In-depth knowledge of ML Ops best practices and processes.
• Excellent problem-solving skills and ability to design scalable and reliable ML architectures.
• Experience in Telecom or Hi Tech  or Software and platform industry desirable

Additional Information:

• Opportunity to work on innovative projects. 
• Career growth and leadership exposure.

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