Matrix Marketers - Data Scientist - Artificial Intelligence/Machine Learning

Job Summary :

We are looking for an AI/ML Engineer with 4 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The right candidate will have a solid background in algorithms, data pipelines, and model optimization, along with practical experience in production-level ML systems.

Key Responsibilities :

- Work with various teams to gather requirements, understand business challenges, and provide AI-driven insights.

- Preprocess, clean, and analyze large datasets to create reliable models.

- Develop and implement deep learning and NLP-based models for real-world applications.

- Improve model performance and ensure efficient use in production environments.

- Maintain, monitor, and enhance existing ML models.

- Collaborate with data engineers to develop data pipelines and MLOps workflows.

- Research and evaluate new AI/ML frameworks, tools, and techniques to improve solutions.

- Document technical designs, workflows, and processes.

Required Skills & Qualifications :

- 4+ years of experience as an AI/ML Engineer or in a similar role.

- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).

- Practical experience with ML algorithms (supervised, unsupervised, reinforcement learning, NLP, computer vision).

- Experience with deep learning architectures (CNNs, RNNs, Transformers, LSTMs, GANs).

- Proficiency in handling large datasets using SQL, Spark, or Hadoop.

- Understanding of MLOps practices (Docker, Kubernetes, MLflow, Airflow, or Kubeflow).

- Familiarity with cloud platforms (AWS, Azure, GCP) for ML/AI services.

- Strong problem-solving and analytical thinking abilities.

- Good communication and teamwork skills.

Preferred Qualifications (Good to Have) :

- Knowledge of vector databases and AI search technologies.

- Exposure to edge AI or embedded ML.

- Experience in deploying ML models through REST APIs or microservices.

- Published research papers or contributions to open-source ML projects.