Machine Learning Engineer

We are seeking a skilled Data Scientist to extract insights, build predictive models, and solve complex business challenges using data. The ideal candidate should have expertise in Python, R, Machine Learning, SQL, and Data Visualization, with a strong analytical mindset and problem-solving abilities.

Key Responsibilities

Analyze large datasets to uncover trends, insights, and patterns.

Develop and deploy machine learning models to support predictive and prescriptive analytics.

Use Python and R for data manipulation, statistical analysis, and modeling.

Design and maintain efficient SQL queries for data extraction and transformation.

Create interactive data visualizations to communicate findings to stakeholders.

Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.

Conduct A/B testing and evaluate model performance to ensure accuracy and relevance.

Stay updated on the latest advancements in machine learning and data science.

Required Skills

Proficiency in Python and R for statistical modeling and machine learning.

Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn).

Expertise in SQL for data querying and manipulation.

Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).

Excellent problem-solving and critical-thinking abilities.

Strong communication skills to convey technical insights effectively.

Required Experience

2-4 years experience in data science, machine learning, or related roles.

Proven experience in building and deploying machine learning models.

Hands-on experience with data analysis, visualization, and statistical techniques.

Track record of leveraging data to drive business decisions.