.
*who is digitalonus by tech mahindra?
*at digitalonus by tech mahindra, we not only provide agile and devops methodologies to our customers, we have adopted the same within the company as well.
our nimble processes are not mired in red tape, yet robust, flexible and result-oriented.
we are software engineers, technical architects, cloud and devops specialists.
but the most important, we are dreamers, creators and challengers.
each day, we strive to make great come alive.
our lemma: "work smart and play hard"our technology partners are *hashicorp, cloudbees, chef, pagerduty, docker* and *sap*.we're looking for a passionate, product-focused *ml business analyst* who have hacked systems in creative ways, who are curious about new languages, technologies, and trends.
we believe that working hard is a byproduct of loving what you do and not something that can be me assured on a timesheet.
*location remote*:mexico or canada*qualifications we are looking for*:5+ years of experience with performing business analysis, including aspects of business process and requirements elicitation and documentation- experience working in the domain area of ml, mlops, ml infrastructure.- experience working with cloud technologies including aws or azure- experience working in a safe environment- experience coordinating multi-disciplinary technical teams to develop requirements and design documentation- experience writing software development requirements, including waterfall sdlc and agile- experience with analyzing disparate systems to identify gaps and potential impacts- experience in conducting experiments, training and validating new state-of-the-art machine learning algorithms & infrastructure for pharmaceutical domains.- pharmaceutical domain experience preferred.- create new or update existing user stories, acceptance criteria, wireframes, and other supporting documentation.- work closely with the program lead interpret requirements, ideas and converts to program deliverables.- ensures effective communication between technical and non-technical functions.- keep project management team informed of key issues and changes which may impact expected business results.- contribute to research efforts in machine learning to enable development of new state-of-the-art algorithms and ml infrastructure.- contribute to the integration of algorithms within larger programmatic systems that require these capabilities.- assist in representing the organization by providing input on technical issues for specific projects including preparing and presenting technical reports