Senior Data Scientist / Machine Learning Engineer

Company Description

ThreatXIntel is a startup cybersecurity company specializing in protecting businesses and organizations from diverse cyber threats. The company provides customized, affordable solutions, including services such as cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. ThreatXIntel takes a proactive approach by continuously monitoring and testing clients' digital environments to identify vulnerabilities before exploitation. The mission of ThreatXIntel is to empower businesses of all sizes with high-quality cybersecurity services, enabling them to focus on growth with peace of mind.

Role Description

We are looking for an experienced Senior Data Scientist / Machine Learning Engineer to build scalable AI and Machine Learning solutions and transform complex datasets into business-ready insights.

The ideal candidate will have strong hands-on experience across Computer Vision, NLP, Predictive Analytics, Forecasting, and business analytics, along with the ability to deliver production-ready AI systems.

Key Responsibilities

• Design and build scalable AI/ML solutions aligned with business needs
• Develop and deploy Machine Learning and Deep Learning models
• Work across multiple AI domains including:
• Computer Vision
• Natural Language Processing (NLP)
• Predictive Analytics and Forecasting
• Develop and maintain data pipelines, models, and analytics tools
• Build solutions such as Object Detection, Segmentation, Recommender Systems, Forecasting, and Churn/Propensity Models
• Perform data preprocessing, feature engineering, and model optimization
• Present insights through clear visualizations and dashboards
• Collaborate with product, engineering, and business teams
• Mentor junior team members and promote best practices

Required Technical Skills

Programming

• Strong proficiency in Python (mandatory)
• Exposure to R, C, or C++ is an advantage

Machine Learning and Deep Learning

• Strong understanding of ML algorithms and statistical modeling
• Hands-on experience with TensorFlow, Keras, or PyTorch

Data Science and Analytics

• Predictive analytics and forecasting techniques
• Data modeling and pipeline development
• Strong analytical and problem-solving skills
• Data visualization and storytelling capabilities