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[Remote] Senior Developer – Machine Learning

Remote Full-time Live

Note: The job is a remote job and is open to candidates in USA. iHorizons is seeking a Senior Developer specializing in Machine Learning. The role involves managing the end-to-end data science cycles and developing scalable tools and algorithms based on advanced Machine Learning and Deep Learning methodologies.

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.

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