Machine Learning Engineer - Big Data Technologies

Responsibilities : - Design, develop, and implement machine learning models and algorithms to solve complex business problems. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct data analysis and preprocessing to ensure data quality and integrity. - Optimize and fine-tune machine learning models for performance and scalability. - Stay up-to-date with the latest advancements in machine learning and AI technologies. Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. - 7+ years of experience in machine learning, data science, and Python programming. - Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. - Experience with big data technologies such as Hadoop, Spark, and SQL. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills, with the ability to convey complex technical concepts to non-technical audiences. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Preferred Skills : - Knowledge of natural language processing (NLP) and computer vision techniques. - Experience with deep learning frameworks and tools. - Familiarity with agile methodologies and DevOps practices. Responsibilities : - Model Development & Implementation : Design, develop, and implement machine learning models and algorithms using Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.). - Data Analysis & Preprocessing : Conduct thorough data analysis and preprocessing to ensure data quality, integrity, and suitability for model training. This includes data cleaning, transformation, and feature engineering. - Problem Solving : Translate complex business problems into actionable machine learning solutions. - Model Optimization : Optimize and fine-tune machine learning models for performance, scalability, and efficiency. - Collaboration : Collaborate effectively with cross-functional teams (product, engineering, business) to understand requirements, communicate technical concepts, and ensure successful project delivery. - Research & Innovation : Stay up-to-date with the latest advancements in machine learning and AI technologies, exploring and evaluating new techniques and tools. - Deployment & Monitoring : Deploy and monitor machine learning models in production, ensuring their reliability and performance. - Communication : Clearly communicate complex technical concepts to both technical and non-technical audiences. Qualifications : Education : Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. - Experience : 7+ years of experience in machine learning, data science, and Python programming. Technical Skills : - Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. - Experience with big data technologies such as Hadoop, Spark, and SQL. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills, with the ability to convey complex technical concepts to non-technical audiences. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Preferred Skills : - Knowledge of natural language processing (NLP) and computer vision techniques. - Experience with deep learning frameworks and tools. - Familiarity with agile methodologies and DevOps practices. - Experience with MLOps tools and practices. Contributions to open-source machine learning projects.