This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.



To support the needs of our clients, Avanade is actively

recruiting and interviewing for the role outlined below as we continue to build

on another year of growth in our business. Now, with more than 60,000 employees

around the globe, we are positioning our organization to effectively prepare

for the future. What does this mean for you? We encourage you to apply and

interview for this role without the need to decide now. This allows you to

connect with leaders and hiring managers at a pace that works for you and when

roles become available, you will be the first to know.

Come join us

We are looking for experienced Machine

Learning Engineers with extensive hands-on experience in machine and deep

learning, statistical modeling, and software development, proven scientific

research skills, and technical leadership. You will be part of team to develop

analytics solutions based on machine learning & statistical predictive

algorithms for clients of Data & AI.





Together

we do what matters.

Skills And Experiences

• Hands-on experience in data science, machine learning and statistical analytics.
• Experience in data analytics, BI, data warehousing, a data platform development or other relevant hands-on technical experience.
• Experience in MLOps frameworks and tools, Ml Model deployment and maintenance
• Understanding of structured and unstructured data analysis, streaming data, IoT, artificial intelligence, NLP and related topical analytics fields.
• Experience in implementing/deploying ML solutions in Azure or other cloud platforms
• Knowledge of neural networks and transformers
  
  

About You

Characteristics that can spell success for this role

• Analytical, curious, agile
• Team player and good communicator
• Problem-solver, patient, quality-driven
• Self-motivating
• Innovative mindset
  
  

What You'll Do

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
  
  

Learn more

To learn more about the types of projects our Data Engineering team works on check out these case studies:

• thyssenkrupp Materials Services uses data to help strike a delicate operational balance
• What matters to SSE Renewables is innovating for a sustainable future
  
  

Interested in knowing what’s going on inside Avanade? Check out our blogs:

• Avanade Insights – exchange ideas that drive tomorrow’s innovation
• Inside Avanade – explore what life is like working at Avanade
  
  

Enjoy your career

Some of the best things about working at Avanade

• Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
• Real-time access to technical and skilled resources globally
• Collaborate with some of the brightest “Microsoft minds”
• Build your expertise, solve problems, learn, and develop
  
  

Find out more about some of our benefits here.

A great place to work

As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look!

We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page.

Create a future for our people that focuses on

• Expanding your thinking
• Experimenting courageously
• Learning and pivoting Inspire greatness in our people by
• Empowering every voice
• Encouraging boldness
• Celebrating progress Accelerate the impact of our people by
• Amazing the client
• Prioritizing what matters
• Acting as one