Machine Learning Engineer

About Us We are a decision science organization assisting clients to leverage their under-utilized data in making complex business decisions successfully. We comprise of Data Enthusiasts (engineers, scientists visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data. The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across Industries. We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team. Job Description This is a remote position. Responsibilities You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems You will be working in a highly-collaborative environment with other experts in data science and engineering Transform business problems into data problems Research and build statistical/machine-learning models Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management Requirements Must Have Skills: Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred 3+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting Hands-on experience with software development, including translating ML models into scalable production services Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach Strong in Python Experience in implementing machine learning algorithms using APIs/libraries from scikit-learn, H2O, MLlib and TensorFlow Hands-on experience with software development, including translating ML models into scalable production services Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark Excellent verbal and written communication skills You take complete ownership of your work and are self-driven