Machine Learning Engineer - Tensorflow / PyTorch

Job Description :

We are seeking a highly skilled and innovative Machine Learning Engineer to join our team.

You will design, develop, and deploy cutting-edge ML solutions to solve real-world problems, driving impactful outcomes for our organization.

Collaborating closely with software engineers and product teams, you will build scalable and efficient ML models and :

Machine Learning Model Development and Deployment :

• Design, build, and optimize machine learning models to solve business problems.
• Deploy trained models to production environments using MLOps practices (e. , CI / CD pipelines, model versioning, and monitoring), ensuring scalability, reliability, and efficiency.
• Continuously monitor model performance and implement improvements to maintain and enhance accuracy.
• Implement and optimize feature engineering workflows, including working with feature stores.
• Leverage ML solutions to improve core business KPIs, including transaction success rates, fraud detection, customer retention, and operational efficiency.
• Work closely with business stakeholders to identify ML use cases aligned with organizational goals.
• Data Engineering and ETL Processes : Design and implement ETL pipelines for efficient data extraction, transformation, and loading.
• Collaborate with data engineers to maintain a robust data pipeline connecting OLTP and OLAP systems.
• Utilize AWS Redshift to manage and analyze large-scale datasets.
• Develop and optimize queries for reporting and feeding ML models.
• Analytical Problem Solving : Apply strong analytical skills to derive insights from data and translate them into actionable recommendations.
• Work with cross-functional teams to interpret data, identify trends, and implement data-driven strategies.

Requirements :

Experience :

Must have :

(ref : hirist.tech)