Machine Learning Engineer at LTI Mindtree
Tampa, FL
About the Job
Job Description : Data Science and Machine Learning Engineer
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.