Job Description

About Accenture:
Accenture is a leading global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting, Interactive, Technology and Operations services - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com

Consultant: - ML Engineering
Team: Applied Intelligence
Job Location: - Bangalore/Chennai/Pune/Hyderabad/Gurgaon/Mumbai


Job description:-

Do you want to develop intelligent solutions for our customers and successfully implement machine learning models in real environments? Models that can transition seamlessly across environments with ability to (re)train & deploy near real time?
As a Google Cloud Platform (GCP) ML Engineer you are an expert engineer with an eye for AI. You will be required to develop a holistic understanding of the AI/ML solution you are building, including transferring some of the software engineering best practices to the data science world.
Having a deep understanding of the mathematical underpinnings of the Machine Learning algorithms is a must have, as you will be required to know what algorithms are available and when and how to apply them.


Roles & Responsibilities
• Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging Google cloud tech stack and third-party products.
• Be an Agile learner with ability to adapt to new sets of emerging tools & technologies including proprietary Accenture solutions & methodologies.
• As part of global team working in collaboration with Data Engineers and Data Scientists, ensure that ML models and pipelines are successfully implemented in real productive environments.
• Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services. Scale existing ML models into production
• Know how to address technical problem solutions and implement them in practice with the help of native tools on Google Cloud Platform
• Ability to make decisions and take responsibility for projects and tasks
• Design, implement, test, and productionize the models on Google Cloud Platform using native components.
• Analyze and resolve architectural problems, working closely with engineering, data science and operations teams
• Perform technical architecture assessments and provide improvements and focus areas
• Provide best-practice knowledge, reference architectures, and patterns for use across ML engineering and architecture communities
• Communicate and provide guidance to senior client leadership and teams
• Contribute ML Engineering expertise to team and new sales activities


Experience & qualifications
• Practical experience in the field of Machine Learning with experience developing and architecting software, conversant with full lifecycle from prototype to production.
• Technical know-how of AI/ML scenarios and operational challenges in production.
• Applying engineering principles to develop and deploy ML models in medium to large scale environment.
• Proven experience with machine learning offerings in the Google Cloud Platform. Cloud certifications (around Azure/AWS/GCP is a plus).
• Experience managing key elements of a data and ML platform: scalable data pipelines, feature stores, data lifecycle, model store, model deployment and monitoring, ML pipelines.
• Experience of deploying models in a production environment (knowledge of modern pipeline frameworks like Kubeflow/TensorFlow Extended (TFX)
• Strong experience in agile practices and CI/CD
• Hands-on experience in development, deployment and operation of data technologies and platforms such as:
1) Integration – APIs, micro-services and ETL/ELT patterns
2) DevOps – Ansible, Jenkins, ELK
3) Version Control – Git, Bitbucket, native tools etc.
4) Containerization – Docker, Kubernetes etc.
5)Orchestration – Airflow, Cloud Composer, Kubeflow etc.
6) Languages and scripting: Python, Scala Java etc
7) Cloud Services – Google Cloud Platform and native tools
8) Analytics and ML tooling – Vertex AI, Sagemaker, ML Studio
9) Execution Paradigm – low latency/Streaming, batch and micro batch processing
10) Data platforms – Big Data (Dataproc, Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (BigQuery, Teradata, Redshift, Snowflake etc.)
11) Visualization Tools – Looker, PowerBI, Tableau


Qualifications

NA

We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

What people are saying about us

Life at Accenture

Work where you're inspired to explore your passions and where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine.

image

Training and Development

Take time away to learn and learn all the time in our regional learning hubs, connected classrooms, online courses and learning boards.

LEARN MORE

image

Work Environment

Be your best every day in a work environment that helps drive innovation in everything you do.


LEARN MORE

View All

Learn more about Accenture

Our more than 600,000 people in more than 120 countries, combine unmatched experience and specialized skills across more than 40 industries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

View All

Stay connected

Join our Team

Join Our Team

Search open positions that match your skills and interest. We look for passionate, curious, creative and solution-driven team players.

Keep up to date

Keep Up to Date

Stay ahead with careers tips, insider perspectives, and industry-leading insights you can put to use today–all from the people who work here.

Stay Connected

Job Alert Emails

Personalize your subscription to receive job alerts, latest news and insider tips tailored to your preferences. See what exciting and rewarding opportunities await.

View All