Machine Learning Engineer

Job Responsibilities:

Mandatory Skills:

Design, develop, and implement end-to-end machine learning systems, including data pre-processing, feature engineering, model training and evaluation, and deployment
Create and own cloud native API to deploy ML Models
Exploring big data, developing and maintaining ML pipelines for internal stakeholders
2-4 years of experience in data analysis and data manipulation
Knowledge of cloud environments (AWS, Azure etc.) for data handling
Know-how of Databricks, H2ODriverless or MLOPs environment is a good to have
Advocating the application of best practices in code hygiene and code reviews
Work in a cross-functional team of Machine Learning engineers and Data scientists to lead the design and development of large scale batch and real-time ML Services
Design, implement and deploy large scale data pipelines (both real time and batch) and back-end services
Find and advocate for Industry standards and best practices in machine learning engineering methodologies, techniques and technologies
 

Must have coding requirements:

Hands-on work experience on advance level of Python, Scala, SQL and big data interfaces - PySpark, Hadoop etc.

Other required skills:

Good know-how of Machine Learning algorithms, other statistical models and feature engineering
Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities to apply machine learning to improve business outcomes
Participate in code and design reviews, and contribute to the development of best practices and standards for the machine learning team
Automate campaigns in a scalable manner to optimize compute and infrastructure cost
 

Education, Work Experience, Key Skill Set Requirements:

Bachelor's or Master's degree in quantitative fields and computational discipline (like Computer Science, Data Science, Informatics) or a related field from Tier 1,2 college
2+ years of experience in machine learning, data science, or a related field
Strong programming skills in Python, PySpark and experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to non- technical stakeholders
A proactive problem-solver with excellent communication and collaboration skills
Financial industry experience is a good to have