Machine Learning Engineer

Joining Capco means joining an organisation that is committed to an inclusive working environment where youre encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different.

We are/have:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focused on maintaining our nimble, agile and entrepreneurial culture

Machine Learning Engineer Responsibilities:

We are particularly interested in the following key skills sets.

PySpark (Optimization the code) – To be proficient in py-spark optimization a candidate should be familiar with serval key techniques and best practice.
Efficient Data Handling
- Expertise in using efficient file formats like Parquet and ORC.
- Ability to partition and optimize data storage

Python Proficiency – Strong Understanding of Python- Proficiency in Python programming, including object-oriented programming, data structures, and standard libraries.
Experience with Data Processing Libraries:- Hands-on experience with libraries such as Pandas, NumPy, and SQLAlchemy.

Core Concept Understanding of Machine Learning Algorithms

Candidate having 5-8 year of Experience.

Additional Skills

Problem-Solving Abilities:- Strong analytical and problem-solving skills to diagnose performance issues and implement optimization strategies.

Communication Skills:- Effective communication skills to collaborate with cross-functional teams and articulate technical solutions.

This combination of Python proficiency, PySpark optimization skills, and relevant experience will ensure that the candidate can effectively optimize and manage large-scale data processing tasks.