Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
We are looking for a
Senior Machine Learning Engineer
to join the Advanced Analytics IT Product Team in KONE IT Enterprise Data & Analytics Unit in Pune. The Advanced Analytics IT Product Teambuilds data products and advanced analytics products across business domains to enable KONE business functions to make data driven decisions giving them a competitive edge in our business landscape. Advanced analytics product teams apply predictive and prescriptive analysis to business use cases to predict future business outcomes and to prescribe potential courses of action to guide the business decisionmaking.
Machine Learning (ML) Engineer utilizes data to design develop test and validate and deploy advanced analytics machine learning and AI solutions industrialize and operate them so that target users can use them reliably and securely. ML Engineer designs data modeling processes creates algorithms and models and integrates them to IT Products for use in enterprise IT environment. ML Engineer participates in peer reviews and defect resolutions. ML Engineer ensures the implemented advanced analytics AI and ML products and their features are operational in production environments and seeks to continuously improve the solution based on the performance of the products and features.
We are searching for an enthusiastic person to join the team who is excited about developing his/her own professional skills even further learning new things and contributing to team success. We are expecting you to take a selfdriven proactive approach to your work find & implement solutions solve problems and share the learnings to colleagues. We want to work with people who enjoy teamwork are not afraid to step out of their comfort zone want to help others and share information.
To succeed in Machine Learning Engineer role following professional experience will play a key role:
- Masters degree in a quantitative field for example machine learning computer science physics statistics or mathematics.
- Proven track record in applying advanced analytics techniques such as machine learning and artificial intelligence to business problems using cloud technology as industrial scale solutions.
- 46 years of professional handson experience in machine learning data science and / or data engineering fields depending on the seniority of the role:
- Technical proficiency with our cloud platform: AWS especially in components such as DynamoDB CloudFormation Route53 S3 AWS CDK and AppFlow. Relevant AWS certificates preferred.
- Technical proficiency in Databricks for machine learning AI and data science application. Experience with workflow orchestration unity catalog Spark (PySpark) and MLFlow. Relevant Databricks certificates preferred.
- Technical proficiency on tools such as Gitlab/GitHub Airflow and Terraform for IaaC.
- Coding proficiency with multiple languages (Python SQL and DBT) with proven handson experience in industry standard software development life cycle methods and DevOps practices spanning the full solution lifecycle.
- Understanding cybersecurity guidelines data privacy and compliancy regulations.
- Ability to write maintainable code and experience with software testing practices.
- Write clear technical documentation and visualize your technical design.
- Practical experience in working with enterprise data landscapes and data structures: Structural data nonstructural data metadata master data transactional data batch/NRT. Experience in enterprise data sources such as e.g. SAP ERP Salesforce and product data management (PDM).
- For Senior ML Engineer position you are expected also to have proficiency in:
- Acting as the goto person in the methodological and technical aspects of ML engineering promoting innovation in ML engineering critically evaluate new methods and applying them in practice.
- Identifying designing and implementing ML engineering process improvements e.g. automating manual processes optimizing data delivery redesigning infrastructure for greater scalability.
- Ensure solutions are implemented with industry best practices and aligned with KONEs technical design principles and architecture while ensuring all ML engineers follow agreed development process and agreed CI/CD principles.
- Plan and conduct quality actions such as code reviews supports and coach others.
- Demonstrating indepth process and data knowledge for the business domain(s) you are allocated to work with.
- Taking additional responsibilities such as the role of Scrum Master leading task forces and defect triages.
- Experience in coaching and / or mentoring junior developers and engineers.
- Way of working professional experience
- Passion to utilize agile development methodologies and tools (Jira Confluence .
- Ability to work in global multicultural team and effectively collaborate within the team.
- Ability to selforganize and be proactive seek feedback be courageous and resilient and have excellent problemsolving skills.
- Proficiency in spoken and written English language and strong facilitation and communication skills.
At KONE we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where coworkers trust and respect each other and good performance is recognized. In being a great place to work we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
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Senior IC
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