Senior ML engineer

Job Description: We are seeking a highly skilled and experienced ML Engineer to join us in building next generation Computer Vision based AI systems. The ideal candidate should have a robust background in developing AI products, utilizing machine learning algorithms, and engineering them to scale effectively. The role involves building AI algorithms starting from data pre-processing to model development and deployment.

Responsibilities:

• Utilize 5 to 8 years of hands-on experience in building efficient and scalable code, particularly utilizing modules such as TensorFlow, Pytorch, DeepLearning Algorithms and MLFlows
• Lead the design, development, and implementation of scientific research projects and data models.
• Use modeling, simulation, and optimization to design processes, algorithms, and prediction/classification systems
• Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
• Demonstrate expertise in writing and debugging object-oriented code for robust applications.
• Apply intermediate knowledge of SQL and NoSQL databases to perform data manipulation and analysis.
• Leverage 4 to 8 years of professional experience in data science and machine learning, including classification, regression, and forecasting algorithms, especially time series models
• Execute pre and post-processing steps such as data cleaning, feature engineering, charting, and report generation.
• Showcase proficiency in deep learning models with 2+ years of experience using ML toolkits like PyTorch, TensorFlow, etc.
• Handle large datasets effectively, ensuring optimal performance and accuracy in model training and evaluation.
• Apply good knowledge of basic statistics, including hypothesis testing, sampling, and distribution familiarity.
• Utilize 2 years of experience in Git for version control and collaboration in software development projects.
• Communicate effectively with team members and stakeholders, presenting findings and insights in a clear and understandable manner.
• Possess a good understanding of time series forecasting, Kafka, API development, and experience working with cloud services being advantageous.

Requirements:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
• 5 to 8 years of professional experience in Python development, data science, and machine learning.
• Understanding of the generative ai algorithms: Transformers, Temporal Fusion Transformers, and its interpretability
• Strong proficiency in Python programming and relevant libraries/modules
• Experience with classification, regression, and forecasting algorithms, along with pre and post-processing techniques
• Proficiency in deep learning models using PyTorch, TensorFlow, or similar frameworks.
• Solid understanding of basic statistics and hypothesis testing
• Excellent communication and presentation skills.
• Intermediate knowledge of data engineering, Kafka, API development, and experience with cloud services.