Data Scientist - Deep Learning Specialist

Placements24; Houston (TX); Hybrid; USD 36,000 - 60,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Performance-based bonuses

Remote work flexibility

Training & conferences

Job summary

Placements24 is seeking a highly skilled Data Scientist with a focus on deep learning to join our Randburg-based team. You will design, train, and deploy models for image recognition, NLP, and time-series forecasting, translating complex data into actionable insights.

The role emphasizes collaboration with domain experts, MLOps integration, and communicating results to technical and non-technical stakeholders. A strong theoretical foundation and hands-on Python experience are essential.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
• Proven experience as a Data Scientist with a strong focus on deep learning.
• Proficiency in Python and extensive experience with deep learning libraries (TensorFlow, PyTorch, Keras).
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data manipulation and analysis libraries (Pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong data visualization and communication skills.
• Ability to work independently and as part of a team.
• Experience with big data technologies (Spark) is a plus.
• Knowledge of MLOps principles is advantageous.

Responsibilities

• Design, develop, and implement deep learning models for various applications including classification, regression, natural language processing, and computer vision.
• Preprocess and analyze large, complex datasets to identify patterns and insights.
• Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Collaborate with domain experts and other data scientists to understand business problems and translate them into data science solutions.
• Deploy deep learning models into production environments, working closely with MLOps engineers.
• Stay current with the latest research and advancements in deep learning and artificial intelligence.
• Communicate findings and model results effectively to both technical and non-technical stakeholders.
• Develop visualizations and reports to illustrate key insights and model performance.
• Contribute to the continuous improvement of data science workflows and methodologies.

Skills

Python

Deep Learning

TensorFlow

PyTorch

Keras

Pandas

NumPy

Cloud platforms

AWS

Azure

GCP

Data visualization

MLOps

Spark

Education

Master's or Ph.D. in Computer Science, Statistics, Data Science

Tools

TensorFlow

PyTorch

Keras

Job description

About the Role

Our client is seeking a highly skilled Data Scientist with specialized expertise in Deep Learning to join their innovative team in Randburg, Gauteng . This role focuses on developing and deploying advanced deep learning models to extract insights and build predictive solutions from complex datasets. You will work on challenging projects, contributing to areas such as image recognition, natural language processing, and time-series forecasting. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with practical experience in building and deploying models. This is an exciting opportunity to apply cutting-edge AI techniques in a collaborative environment in Randburg .

Key Responsibilities

• Design, develop, and implement deep learning models for various applications including classification, regression, natural language processing, and computer vision.
• Preprocess and analyze large, complex datasets to identify patterns and insights.
• Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Collaborate with domain experts and other data scientists to understand business problems and translate them into data science solutions.
• Deploy deep learning models into production environments, working closely with MLOps engineers.
• Stay current with the latest research and advancements in deep learning and artificial intelligence.
• Communicate findings and model results effectively to both technical and non-technical stakeholders.
• Develop visualizations and reports to illustrate key insights and model performance.
• Contribute to the continuous improvement of data science workflows and methodologies.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
• Proven experience as a Data Scientist with a strong focus on deep learning.
• Proficiency in Python and extensive experience with deep learning libraries (TensorFlow, PyTorch, Keras).
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong data visualization and communication skills.
• Ability to work independently and as part of a team.
• Experience with big data technologies (e.g., Spark) is a plus.
• Knowledge of MLOps principles is advantageous.

Benefits

Our client offers a competitive salary, comprehensive medical aid, retirement fund benefits, and performance-based bonuses. We are committed to your professional growth, providing access to cutting-edge training, workshops, and opportunities to attend leading industry conferences. This role in Randburg, Gauteng offers the flexibility of remote work, allowing you to contribute effectively while maintaining a healthy work-life balance. Join a team passionate about leveraging data and AI to drive innovation.