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.