Job Location: Bangalore
Role & Responsibilities:
- Actively engage with internal technical and business teams to architect analytics-enabled digital products that deliver insights, predictions and optimization outcomes, at scale. Lead their ongoing evolution.
- Work alongside IT & engineering groups to leverage cutting edge technology (machine learning platforms, streaming analytics and ‘real’ big data) to efficiently deploy data science algorithms, statistical models and analytical solutions into production
- Own responsibility for the Model Development Life Cycle. Guide your team to set up the environment, design CI/CD pipeline, test & optimize the code, manage model repository & deployments.
- Network and collaborate with a broad range of internal business stakeholders to define and deliver joint solutions.
- Create, maintain and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking.
Required Technical Skills for the Candidate
- Knowledge of Microsoft Azure Suite – Azure ML Studio, Azure Data Factory, Power BI/Power Apps
- Experience working with large datasets (several Gigs), using cloud hosted leading industry platforms or proprietary data science modeling / model deployment software
- Experience leading teams of machine learning engineers & data science personnel engaged in constructing high-performance analytical models using Python/R scripts, ML libraries, Jupyter notebooks.
- Experience in leading design/build of scalable data analytics products/solutions at an enterprise level
- Good understanding of data science model deployments on CI/CD pipelines (specifically Kubeflow); and build/deployment of portable scalable machine learning workflows based on Docker containers
- Hands-on experience working with (any one of): AWS, Google Cloud, Microsoft Azure cloud orchestrations.
- Hands-on experience building out reports on Visualization tools (any of) Tableau, Qlik, Power BI.
- Hands-on experience working with (any one of) database formats: Oracle, SQL Server, DB2, MySQL, Teradata
Our Commitment to Diversity and Inclusion
At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.
In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.
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