Data&AI Tech Lead

Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you’ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You’ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil & Gas, and Utilities. As part of Accenture Industry X, you’ll benefit from tailored career management and specialist skills that will fuel your ambitions.

What’s in it for you?

Work-Life Balance : Hybridworking model / Flexiblehours / Birthdayoff / No dresscode / HappyHours

Health & Wellness : Life & HealthInsurance / An Employee Assistance & Wellness Program

Transportation : Shuttle service / Transportation support

Financial Benefits : Meal allowance / EmployeeReferral Bonus Program / Performance bonus & promotion / Accenture RecognitionPoints

Professional Development : Learning budget / Personalcareerdevelopmentwith People Leads / Buddy Program

Work Environment : Working on internationalprojectswith a globallydiverseteam / A fast-pacedtechnologyenvironment

Key Responsibilities :

Lead the design and implementation of scalable Data & AI solutions aligned with business goals.

Guide the technical direction of data science and machine learning projects from prototyping to production.

Collaborate closely with data engineers, data scientists, analysts, and business stakeholders to identify and prioritize AI use cases.

Drive adoption of MLOps practices for robust and reproducible model deployment and monitoring.

Ensure data quality, governance, and security standards are embedded into all AI and data initiatives.

Continuously evaluate and integrate emerging AI / ML technologies and industry best practices.

Mentor and support technical team members, fostering a culture of innovation and continuous learning.

Contribute to architectural decisions and strategic planning within the broader Data & AI ecosystem.

Required Qualifications :

BSc or MSc degree in Computer Engineering, Artificial Intelligence, Data Science or a related field.

7+ years of experience in delivering end-to-end data and AI solutions.

Strong expertise in Python, with practical experience in machine learning libraries such as TensorFlow, PyTorch, Scikit-learn.

Proven experience in designing and deploying ML models in production using MLOps frameworks and tools (e.g., MLflow, SageMaker, Vertex AI, Azure ML).

Hands-on experience with cloud platforms, particularly AWS, Azure, or GCP (e.g., Glue, EMR, SageMaker, Azure ML).

Strong knowledge of data engineering principles and experience collaborating with data engineering teams.

Experience with CI / CD pipelines, infrastructure-as-code tools like Terraform, and containerization with Docker / Kubernetes.

Solid understanding of data privacy, model explainability, fairness, and governance in AI systems.

Excellent problem-solving skills and a strong understanding of software design and system architecture.

Experience in Agile methodologies and leading cross-functional technical teams.

Fluent in English.

German is a plus.

Ready tomake an impact? Ifyouareexcitedaboutworkingwithcutting-edgetechnologyandparticipating in thrillinginternationalprojects, wewanttohearfromyou! Join Accenture andachieveyourgoals.

GreatPlaceToWork

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About Accenture

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