Melbourne, Victoria, Australia
1 day ago
Senior Machine Learning Engineer

About the role:

About the role (responsibilities) At Cognizant, we're seeking talented Senior Machine Learning Consulting Engineers to join our Data & AI practice within Technology Consulting. As a key member of our team, you'll play a pivotal role in designing and implementing innovative solutions that leverage the power of platforms such as databricks to solve complex business challenges using machine learning. Your expertise will be instrumental in helping our clients optimize their ML implementations and extract maximum value from their data investments.

We also offer opportunities to grow in the rapidly evolving field of Generative AI. You'll be at the forefront of implementing enterprise-grade AI solutions, working with foundation models, and helping shape the future of AI-driven transformation.

The Senior ML Consulting Engineer is responsible for:

Drive ML strategy and deliver business outcomes through innovative Databricks solutions Lead complex machine learning projects using Databricks and distributed computing, handling large datasets and complex models Design and implement enterprise-grade generative AI solutions using Databricks' ML capabilities Develop state-of-the-art machine learning models using techniques like deep learning, reinforcement learning, and generative AI Create and optimize MLOps workflows using Databricks' ML tools and best practices Conduct comprehensive data analysis to identify patterns and trends, building models on a solid foundation of data understanding Implement robust data pipelines to ensure data quality, consistency, and efficiency Design and implement ML solutions that scale effectively on Azure and/or AWS Optimise model performance through techniques like hyperparameter tuning, feature engineering, and model selection Lead technical pre-sales activities and proof-of-concept development for ML solutions Deploy and monitor machine learning models in production environments Develop and maintain machine learning infrastructure and tools Collaborate with cross-functional teams to align machine learning models with business objectives Communicate technical concepts effectively to both technical and non-technical audiences Stay up-to-date with the latest advancements in machine learning, data engineering, and generative AI Mentor junior engineers and foster a culture of knowledge sharing

About You:

Technology Consulting involves exciting, fast-paced work, dealing with a variety of stakeholders, clients, and consultants. You need to be someone that can deal with ambiguity, thrive on change, and manage your own time effectively. We want someone that genuinely focuses on client outcomes, with a high degree of integrity. At Cognizant we value consultants that have a high IQ, enjoy problem solving, and a willingness to serve. You will need to be confident presenting to both business and technology stakeholders, leading cross functional geographically dispersed teams, and have strong negotiating and collaboration for outcomes skills. Above all, you should have a positive attitude, and enjoy working with consultants from a diverse range of backgrounds, on a variety of fast paced engagements.

Base capability requirements include:

3+ years of experience using Databricks, demonstrating deep understanding of the platform and its ML capabilities Strong consulting experience with proven ability to deliver business outcomes Solid understanding of data science concepts, including statistical modeling, data mining, and data visualization Experience with cloud platforms (Azure/AWS) for Databricks deployment and management Advanced knowledge of data engineering principles, ETL processes, and data pipelines Expert proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost) Experience with large language models and generative AI implementation Strong understanding of MLOps practices and tools Proven experience in solution architecture and technical pre-sales Experience in managing client relationships and stakeholder expectations Strong business acumen and ability to translate ML solutions into business value Excellent communication skills with ability to influence senior stakeholders

Additional skills which would be highly desirable:

Experience with Databricks' latest generative AI capabilities Expertise in Delta Lake and Spark Structured Streaming Knowledge of Databricks Unity Catalog and MLflow Model Registry Experience with real-time ML systems and model serving Multi-cloud implementation experience

Growth Opportunities:

Lead implementation of cutting-edge generative AI solutions Work with Databricks' latest ML features and capabilities Early access to new Databricks AI innovations Collaboration with Databricks' product teams Access to advanced training and certification programs Opportunities to shape AI strategy for enterprise clients Involvement in research and innovation projects

Our Benefits:

Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.

We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

You can pursue innovative career tracks and opportunities here You can enhance your professional development through education and dedicated training We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Disclaimer: 
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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