Key Responsibilities:

Design, develop and deploy machine learning models and algorithms to support our products and services.
Collaborate with data scientists to identify and collect the necessary data for training and testing ML models.
Develop data pipelines and ETL processes to ensure the availability and quality of data.
Conduct exploratory data analysis to gain insights and identify trends in the data.
Optimize and fine-tune existing ML models to improve their performance and accuracy.
Develop and maintain scalable and efficient machine learning infrastructure.
Implement data preprocessing techniques and feature engineering to improve model performance.
Work closely with product managers to understand business requirements and translate them into technical solutions.
Keep up-to-date with the latest advancements and techniques in machine learning and data science.
Communicate technical concepts and solutions to non-technical stakeholders.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
Minimum of 3 years of experience in machine learning, data science, or a related field.
Strong understanding of machine learning algorithms and techniques such as supervised and unsupervised learning, deep learning, reinforcement learning, etc.
Proficient in programming languages such as Python, R, Java, or C++.
Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-Learn, etc.
Experience with big data technologies such as Hadoop, Spark, etc.
Knowledge of SQL and relational databases.
Experience with data visualization tools such as Tableau, Power BI, etc.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork skills.

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