Senior AI/ML Engineer - Predictive Modeling

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement savings plan

Professional development opportunities

Flexible work arrangements

Job summary

Placements24 is seeking an experienced Senior AI/ML Engineer to lead predictive modeling initiatives. You will design, implement, and deploy robust models, collaborating with data scientists and business stakeholders to drive data-informed decisions.

Ideal candidates hold a Master’s or PhD in a quantitative field, 5+ years in ML/data science, and strong Python expertise with scikit-learn, TensorFlow, or PyTorch.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in ML engineering or data science with a focus on predictive modeling.
• Strong programming skills in Python and experience with ML libraries.
• Proficiency in SQL and experience with large-scale databases.
• Knowledge of cloud platforms (AWS/Azure/GCP) and Spark is a plus.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Develop, implement, and deploy predictive models using ML and statistical techniques.
• Data preprocessing, feature engineering, and model selection for performance.
• Evaluate model accuracy and iterate to improve models.
• Collaborate with data scientists and domain experts to define modeling objectives.
• Work with large datasets ensuring data quality for model training.
• Design and run A/B tests and other experiments to validate impact.
• Optimize model performance for production scalability and efficiency.
• Stay updated with AI/ML advancements and communicate insights clearly.

Skills

Predictive modeling

Statistical modeling

Data preprocessing

Model evaluation

Communication

Education

Master's or PhD in a quantitative field

Tools

Python

scikit-learn

TensorFlow

PyTorch

XGBoost

SQL

Spark

AWS/Azure/GCP

Job description

About the Role

Our client, a leading data analytics firm, is seeking a highly experienced Senior AI/ML Engineer specializing in Predictive Modeling to join their innovative team. This role offers the opportunity to work on complex and impactful projects that leverage advanced machine learning techniques to forecast future trends and inform strategic decisions. You will be responsible for designing, building, and deploying robust predictive models, collaborating closely with data scientists and business stakeholders to deliver actionable insights. The ideal candidate possesses a deep understanding of statistical modeling, machine learning algorithms, and proficiency in programming languages like Python. We are looking for a creative problem-solver who can translate intricate data challenges into scalable AI solutions. This role is crucial in driving data-informed decision-making within the organization.

Key Responsibilities

• Develop, implement, and deploy sophisticated predictive models using machine learning and statistical techniques.
• Perform data preprocessing, feature engineering, and model selection for optimal predictive performance.
• Evaluate model accuracy and reliability, iterating on models to improve their effectiveness.
• Collaborate with data scientists and domain experts to understand business needs and define modeling objectives.
• Work with large datasets, ensuring data quality and integrity for model training.
• Design and implement A/B testing and other experimental frameworks to validate model impact.
• Optimize model performance for scalability and efficiency in production environments.
• Stay abreast of the latest advancements in machine learning, predictive analytics, and related fields.
• Communicate findings and model insights clearly to technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in machine learning engineering or data science, with a focus on predictive modeling.
• Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Proficiency in SQL and experience working with large-scale databases.
• Solid understanding of various predictive modeling techniques (e.g., regression, time series forecasting, classification).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and collaboration abilities.
• Proven ability to deliver end-to-end machine learning projects.

Benefits

• Our client offers a competitive salary and a comprehensive benefits package, including health, dental, and vision insurance, as well as a retirement savings plan.
• This position provides excellent opportunities for professional development, including access to cutting-edge training, workshops, and conferences.
• The role offers a flexible work arrangement, supporting a healthy work-life balance.
• You will join a dynamic team working on challenging and impactful projects.
• This is a remote-friendly position for candidates seeking to leverage their AI/ML expertise in a flexible environment.