[Remote] Developer - Machine Learning

Note: The job is a remote job and is open to candidates in USA. iHorizons is seeking a Developer specializing in Machine Learning to manage the end-to-end data science cycle. The role involves designing, training, implementing, and monitoring machine learning models, as well as collaborating with cross-functional teams to optimize business outcomes through data-driven insights. Responsibilities • Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand • Utilize predictive modeling to optimize customer experiences and other business outcomes • Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency • Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs • Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions • Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated • Deploy models into production environments and monitor their performance over time • Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems • Interpret results, develop insights within the business context, and provide guidance on risks and limitations • Write the code as per agreed software design rules to keep it aligned with the rest of the code base • Code the final implementation that the generated code is referring to • Follow company software data protection and security guidelines in developing software • Accurately estimate the time needed to complete an assigned task • Identify possible causes of issues or problems • Think through and recommend solutions when raising issues around code, requirements, etc • Write technical design documentation that fully defines all application code • Maintain detailed knowledge of iHorizons products and services • Understand the business impact for labs outcomes • Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort • Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders • Collaborate with other teams to perform code reviews and oversee proper deployment for new releases • Actively mentor and support mid-level and junior developers in their professional growth • Provide guidance on best practices in machine learning, code reviews, and project design • Foster an inclusive and collaborative environment that encourages continuous learning and development within the team • Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues • Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes Skills • Bachelor's degree in data science, statistics, and computer science is a MUST • Google Cloud - Professional Machine Learning Engineer Certificate • Google AgentSpace implementation experience • 3-4+ Years of experience in data science or machine learning • Must have strong experience in at least one of the following areas: Vision models, NLP models (Experience in Arabic NLP is a huge plus) • Proficient in python, TensorFlow, keras and pytorch • Good experience in: SQL and non-relational databases, Data analytics reports generation, ML model development deployment Company Overview • Enterprise IT solutions in Qatar and MENA, Arabic search and NLP, and social analytics It was founded in 1996, and is headquartered in Doha, Ad Dawhah, QAT, with a workforce of 201-500 employees. Its website is Apply tot his job