Machine Learning Engineer

Who are we?

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity.

Currently looking for a skilled ML Ops Engineer to join our team!

Your Role & Requirements

• You have a proven track record of hands-on experience in the area of AI / ML / Advanced Analytics, with special focus on deploying and maintaining AI / ML models and services in production.
• You have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost.
• You can write both object-oriented and functional code, and understand concepts such as (de)coupling, coherence, inheritance, composition.
• You make sure the code that you and your colleagues write is thoroughly tested (unit, integration, end-to-end, stress/performance).
• You love and regularly use data validation and type hints.
• You know how to package a python application or library for distribution
• You are a proficient GIT user, able to collaborate with multiple developers on multiple repositories, while following best practices related to branching, merging and code reviews.
• You have a good understanding of Machine Learning algorithms and their applications in NLP.
• You have work experience with at least one Cloud Provider, preferably Azure Cloud.
• You possess the foundational Data Engineering skills, allowing you to interact with the Data Engineering team, and analyze and troubleshoot data pipelines if needed:
• You could handle using SQL to extract, transform and load data (ETL/ELT).

Formal Qualifications

• University degree in software engineering OR Data Science/Machine Learning/Data Engineering OR a related quantitative field, combined with strong IT skills.
• 5+ years of experience with Python
• 2+ years of experience of using DevOps/CI/CD practices.
• 2+ years of experience in deploying AI solutions to production.

Preferred Qualifications

• Experience with the Hadoop ecosystem (Spark, Kafka, Hive, Impala…).
• You successfully swim in the waters of Agile project management techniques (scrum boards, standups, demos, reviews).
• You stand to promote ML Ops and advocate for its usage and necessity across the organization.
• Must love mentoring and sharing knowledge.
• Must love dad jokes

Why Us?

• We are investing in your growth, offering learning and career development opportunities at every level to help you find your spark;
• We offer a virtual-first work environment, promoting a good work-life balance and real flexibility;
• Our company is extremely diverse with representation of 165 nationalities;
• We offer the opportunity to work with colleagues across the globe;
• We offer comprehensive benefits for all employees;
• We are a certified great place to work and a top employer in 25 countries, offering a positive work environment that values employee recognition and respect;

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