Way to Success IT Services Private Limited
Location
Chennai | India
Job description
Job Description :You'll spend time on the following :In this role you will be collaborating with IDP's Data Engineering and Governance, an enterprise capability team and be responsible for : - Design the data pipelines and engineering infrastructure to support our technology enterprise machine learning systems at scale- Take offline models data scientists build and turn them into a real machine learning production system- Develop and deploy scalable tools and services for our business to handle machine learning training and inference- Maintain the infrastructure and tools that allow us to deploy and monitor our ML algorithms in production- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our business machine learning systems- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.- Support model development, with an emphasis on auditability, versioning, and data security- Facilitate the development and deployment of proof-of-concept machine learning systems- Communicate with business to build requirements and track progress with appropriate tools- Define & implement our ML Ops strategy- Work with our Data science team to deploy models in a performant and optimize ML models- Monitor & maintain our ML systems in production- Set up a robust experiment tracking infrastructure- Work with Product owners, Data Scientist, Data Engineers, Data Analyst, Software developers incl. Architects to efficiently integrate our ML models into our wider technology stack- Contribute to keeping Standards and best practices up to date collaborating with the community- Promote the best practices and correct usage of standards- Identify areas in need of improvement and the drive to put a solution in place which addresses those needs- Manage and prioritize multiple initiatives, incidents and service requests while adapting to changing business conditions- Document standard operating procedures for repeatable tasks and contribute to automation efforts- Prepare and maintain training material and SOPs, knowledge base articles and technical documentationHere's what we're looking for :- Bachelor's degree in Computer Science / Statistics- 5 -8 years+ experience of machine-learning in production with evidence of successful delivery and overall, 10+ years IT experience.- Hand on experience with Quantitative analysis- Experience with the full life cycle of ML projects, with a focus on deployment, monitoring and maintaining of ML systems along with quality assurance- Should be able to validate models via back testing- Should be able to design and develop time series algorithms and recommendation engines to bolster the product development organisation- Ability to write robust code using python/ R- Extensive knowledge on data structures and models- Hands on experience with machine learning frameworks, libraries and deep learning- Knowledge on Continuous integration and deployment- Expertise in visualizing and manipulating big datasets- Ability to translate business needs to technical requirements- Able to effectively present information, gain feedback and respond to questions from groups of senior leaders, stakeholders, and customers- Comfortable with working with multiple stakeholders in a multi-cultural environment- Any ML Engineer certification is desirable (ref:hirist.tech)
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