IN_Senior Associate_AWS DevOps Engineer_Data and Analytics_Adbvsiory_Hyderabad

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics & AI

Management Level Senior Associate

Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more 

about us

.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. “

Job Description & summary

 

We are seeking a highly skilled Senior Associate specializing in Azure ML Ops to join our team. This is a full-time onsite position where you will play a pivotal role in driving machine learning operations using Azure technologies. With a strong focus on deployment, management, and optimization of ML models, this role is critical in ensuring the seamless integration of AI solutions into business processes.

 

Responsibilities

 

• Azure ML Ops Development: Design, implement, and maintain scalable machine learning operations using Azure ML services.

• Model Deployment: Manage end-to-end deployment pipelines for machine learning models to ensure efficient production environments.

• Optimization: Continuously monitor and optimize model performance, resource usage, and operational processes.

• Collaboration: Work closely with data scientists, engineers, and business stakeholders to align ML solutions with organizational goals.

• Documentation: Maintain comprehensive documentation of ML pipelines, workflows, and processes.

• Problem-Solving: Proactively identify and resolve technical issues related to ML Ops.

Work Environment

 

• Type: Onsite work environment.

• Commitment: Full-time employment with 100% resource allocation to this role.

Why Join Us

 

• Opportunity to work on cutting-edge machine learning technologies in a dynamic and collaborative environment.

• Be part of a high-impact team that drives innovation and delivers tangible results.

• Competitive salary and benefits package tailored to attract top-tier talent.

Mandatory Skill sets

 

• Proficiency in Azure ML Ops is mandatory.

Preferred Skill sets:

 

Experience in industries where machine learning plays a key role in decision-making and automation is highly valued.

 

Years of Experience Required

 

• Experience

  : 6–10 years of relevant experience in machine learning operations, with hands-on expertise in Azure ML Ops.

Education Qualification

 

• : While no specific educational qualification is required, a background in Computer Science, Data Science, Engineering, or related fields is preferred.

 

Education

(if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

**Required …