Machine Learning Engineer

Opportunity:

• We are looking for an enthusiastic and exceptional Machine Learning Engineer, we rely on powerfully insightful data to power our systems and solutions. We are seeking an experienced data scientist to deliver that insight to us daily. Our ideal team member will have the mathematical and statistical expertise you would expect, but a natural curiosity and creative mind that is not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the goal of realizing the data’s full potential. You will join a team of data specialists but will “slice and dice” data be using your own methods, creating new visions for the future.

Responsibility:

• Design data modeling processes to create algorithms and predictive models and perform custom analysis
• Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
• They design data modeling processes, create algorithms and predictive models to extract the data the business needs,
• help analyze the data and share insights with peers. While each project is different, the process for gathering and analyzing data generally.
• Collaborate with product design and engineering to develop an understanding of needs
• Research and devise innovative statistical models for data analysis
• Communicate findings to all stakeholders
• Enable smarter business processes—and implement analytics for meaningful insights
• Keep current with technical and industry developments.

Tasks:

• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Implement analytical models into production by collaborating with software developers and machine learning engineers.
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
• Work with Scrum team to help prioritize development activities and estimate level of effort.
• maintain His/her Assigned task to be up to date.
• Contribute to all scrum events specially Sprint planning, Retro, Sprint Review.
• Collaborate with cross-functional teams to define and deliver new features.