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.