Senior Data Scientist / Machine Learning Engineer

Role Overview:

As a Senior Data Scientist / Machine Learning Engineer at ThreatXIntel, your main responsibility will be to design and implement scalable AI and Machine Learning solutions that will transform complex datasets into actionable business insights. You will play a crucial role in developing and deploying Machine Learning and Deep Learning models across various domains such as Computer Vision, Natural Language Processing (NLP), Predictive Analytics, and Forecasting. Your work will involve building and maintaining data pipelines, models, and analytics tools to support the business needs.

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, NLP, Predictive Analytics, and Forecasting
• 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

Qualifications Required:

• Strong proficiency in Python is mandatory
• Exposure to R, C, or C++ is an advantage
• Strong understanding of ML algorithms and statistical modeling
• Hands-on experience with TensorFlow, Keras, or PyTorch
• Predictive analytics and forecasting techniques
• Data modeling and pipeline development
• Strong analytical and problem-solving skills
• Data visualization and storytelling capabilities Role Overview:

As a Senior Data Scientist / Machine Learning Engineer at ThreatXIntel, your main responsibility will be to design and implement scalable AI and Machine Learning solutions that will transform complex datasets into actionable business insights. You will play a crucial role in developing and deploying Machine Learning and Deep Learning models across various domains such as Computer Vision, Natural Language Processing (NLP), Predictive Analytics, and Forecasting. Your work will involve building and maintaining data pipelines, models, and analytics tools to support the business needs.

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, NLP, Predictive Analytics, and Forecasting
• 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

Qualifications Required:

• Strong proficiency in Python is mandatory
• Exposure to R, C, or C++ is an advantage
• Strong understanding of ML algorithms and statistical modeling
• Hands-on experience with TensorFlow, Keras, or PyTorch
• Predictive analytics and forecasting techniques
• Data modeling and pipeline development
• Strong analytical and problem-solving skills
• Data visualization and storytelling capabilities