Machine Learning Engineer

Job Description : Data Science and Machine Learning Engineer

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The ideal candidate will have a strong background in data analysis, machine learning model development, and software engineering principles.

Key Responsibilities :

• Data Analysis & Preprocessing : Analyze large datasets, clean and preprocess data for modeling, and derive actionable insights.
• Model Development : Design, develop, and implement machine learning models to solve complex business problems.
• Algorithm Optimization : Optimize and tune models to improve performance and scalability.
• Data Pipeline Development : Develop and maintain scalable data pipelines for data extraction, transformation using Kedro.
• Collaboration : Work closely with data engineers, analysts, and software developers to integrate models into production systems.
• Documentation : Prepare detailed documentation of workflows, methodologies, and results for future reference and reproducibility.
• Monitoring & Evaluation : Continuously monitor the performance of deployed models and improve them over time.
• Oracle SQL Queries : Write oracle queries and perform data analysis in tables by executing multiple queries

Required Skills :

• Python Programming : Strong proficiency in Python, with experience in libraries such as NumPy, Pandas, Scikit-learn, Transformer , TensorFlow, and PyTorch.
• Machine Learning : Experience building and deploying machine learning models, including supervised and familiarity with algorithms like regression, decision trees, clustering, and deep learning.
• SQL : Expertise in writing and optimizing complex SQL queries to extract and manipulate data from relational databases.
• Data Wrangling : Experience in data manipulation, data cleaning, and transformation.
• Model Evaluation : Ability to evaluate model performance using metrics such as accuracy, precision, recall, F1-score, and AUC-ROC.
• Data Visualization : Proficiency in data visualization tools such as Matplotlib, Seaborn, and Plotly for reporting insights.
• Version Control : Experience with Git or other version control systems for collaborative development.
• API Development : Experience with REST APIs and deploying machine learning models as microservices.

Preferred Qualifications :

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• Minimum 5 years of experience in AI / ML related projects
• Strong problem-solving skills, attention to detail, and ability to work in a team environment.

Additional Skills :

• Strong written and verbal communication skills.
• Self-motivated to perform multiple Proof Of Concept projects and come up with suggestions
• Ability to manage multiple tasks and work in a fast-paced environment.
• Prior experience working in Agile / Scrum environments.
7 hours ago