Job Description

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We are seeking a skilled ML Engineer / Data Scientist to design, develop, and deploy advanced machine learning models and data products. You will work on diverse projects involving statistical modeling, deep learning, and production-grade ML pipelines to drive impactful business decisions.
Key Responsibilities:
Develop and implement ML models for regression, classification, clustering, time series, recommender systems, and more.
Work with advanced AI techniques including deep learning, NLP, reinforcement learning, and federated learning.
Apply statistical modeling and algorithms such as hypothesis testing, A/B testing, and stochastic simulations.
Program using Python, R, SQL, and Spark to build scalable data pipelines and ML workflows.
Utilize ML frameworks like TensorFlow, Keras, and PyTorch for model development and training.
Deploy and monitor ML models in cloud environments (preferably Azure) to ensure reliability and scalability.
Collaborate with cross-functional teams to translate data insights into actionable solutions.
Key Skills & Qualifications:
Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Mathematics, Economics, Statistics, or Data Science.
Strong knowledge of ML algorithms: regression, decision trees, random forests, SVM, neural networks, transformers, etc.
Proficiency in Python, R, SQL, and Spark.
Experience with ML libraries and frameworks: TensorFlow, Keras, PyTorch.
Expertise in statistical methods and mathematical programming.
Familiarity with cloud services, preferably Azure.
Ability to deploy, monitor, and maintain ML models in production.
Strong analytical, problem-solving, and communication skills.
Apply by sending your CV to

Skills Required