Director , Machine Learning Engineering @ Alphacom Systems

Job Description

A Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models that are embedded in data-driven products and services for the clients in the MENA region. The ML engineer involved in the entire lifecycle of machine learning model development, which includes understanding business requirements, designing the model, gathering and preprocessing data, training and tuning the model, and deploying the model into production Principal Responsibilities Designing, developing, and deploying machine learning models based on business requirements. Research and implement appropriate ML algorithms and tools. Extend existing ML libraries and frameworks Staying up-to-date with the latest trends and advancements in machine learning and artificial intelligence. Training machine learning models and tuning their hyperparameters for optimal performance. Evaluating the performance of machine learning models and making necessary adjustments. Testing, deploying and tracking machine learning models into production environments. Collaborating with data engineers to collect, clean, and preprocess data Collaborating with data scientists and other stakeholders to understand business requirements and develop appropriate machine learning solutions. Writing robust and efficient code to implement machine learning algorithms. Documenting machine learning processes and procedures for future reference. Debugging and resolving issues related to machine learning models and their implementation. Qualifications A Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. 12+ yrs of relevant work experince in AI/ML space. Strong programming skills, particularly in Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of SQL and experience with big data platforms like Hadoop or Spark. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Dev Ops and CI/CD experience Strong understanding of statistics and machine learning algorithms. Excellent problem-solving skills and attention to detail. Good communication skills to effectively collaborate with team members and stakeholders. Experience with version control systems like Git. Leadership Competencies Demonstrates integrity, maturity, and a constructive approach to business challenges Serves as a role model for the organization by implementing core Visa Values Shows respect for individuals at all levels in the workplace Strives for excellence and extraordinary results Uses sound insights and judgments to make informed decisions in line with business strategy and needs Able to allocate tasks and resources across multiple lines of businesses and geographies Able to influence senior management both within and outside Data Science Successfully persuading internal stakeholders to commit to best-in-class solutions, when required Leverages change management leadership as required Additional Information All your information will be kept confidential according to EEO guidelines

Employement Category:

Employement Type: Full time
Industry: Internet / E-Commerce
Role Category: General / Other SoftwareDBA / Datawarehousing
Functional Area: Not Applicable
Role/Responsibilies: Director , Machine Learning Engineering

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Keyskills:   Machine Learning Python R Java SQL Hadoop Spark AWS Azure Statistics Git TensorFlow PyTorch Keras Google Cloud Dev Ops CICD