Summary
We are looking for an experienced ML Lead Engineer to join our team and help create innovative solutions for our company. The successful candidate will have a strong background in machine learning, data engineering, and software development. They will be responsible for developing ML models, integrating data sources, and creating pipelines for data acquisition and analysis.
Responsibilities

Designing, Developing machine learning algorithms and models to achieve business needs.
Building machine learning pipelines to automate the process of model training, validation, and deployment
Tuning hyperparameters and optimizing model performance
Evaluating the performance of machine learning models and identifying areas for improvement
Participating in the entire machine learning lifecycle, from problem definition and data collection to model deployment and maintenance
Technically leading a team of machine learning engineers and Providing technical guidance and mentorship to team members
Collaborating with cross-functional teams to identify opportunities to apply machine learning techniques

Qualifications

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
8+ years of experience in ML engineering and data engineering
Proven experience designing and developing ML models and software solutions.
Strong programming skills in at least one language (Java, Python, R, C++), as well as a solid understanding of computer science concepts and algorithms.
Knowledge of SQL, as well as tools and technologies for data engineering and manipulation, such as Hadoop and Spark will be expected.
Would have used Machine learning libraries and frameworks like TensorFlow, Keras, scikit-learn, and PyTorch.
Experience with cloud computing platforms (Azure, AWS, Google Cloud Platform) is a plus
Have proven ability to work independently and in a team environment.