Machine Learning Engineer

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 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 to advancing the technological world through innovation and creativity.

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Qualifications & Experience

• 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.
• Keywords: AI/ ML application development, testing, serving, monitoring, troubleshooting.
• You know how to ensure ML models are reproducible and interpretable.
• You have already single-handedly packaged and deployed AI/ML services to production.
• You know how to monitor and maintain AI/ML services post-deployment.
• You are proficient in Python
• You have 5+ years of work experience with Python, and AI/ML standard libraries such as pandas, scikit-learn, xgboost

Nice-to-haves:

• Data processing libraries and frameworks (pydantic, pandera)
• Web frameworks (such as FastAPI, Flask, ...)
• CLI frameworks (Typer, Click, ...)
• General MLOps tools and frameworks (MLFlow, Azure ML Studio, ...)
• Version control tools for ML datasets and models (DVC, Azure ML Dataset, ...)
• Monitoring libraries and solutions (such as NannyML, Evidently AI, ...)
• Distributed processing libraries and frameworks (such as Ray, Dask, PySpark, ...)
• Pipeline-building and orchestration libraries (such as Metaflow, ZenML, Kedro, Airflow, Dagster, ...)
• General Python development tool (pytest, coverage, tox, mypy, black, ruff, uv, pip-compile, ...)

Why Us?

• We are one of the fastest-growing large tech companies in the world, with offices in 50+ countries across the globe and 219,000 employees
• Our company is extremely diverse with 165 nationalities represented
• We offer the opportunity to work with colleagues across the globe
• We offer a virtual-first work environment, promoting a good work-life integration and real flexibility
• We are invested in your growth, offering learning and career development opportunities at every level to help you find your own unique spark

Benefit package

• Life insurance
• Private medical care
• MultiSport Card
• Subsidy for glasses
• Subsidy to language courses
• Christmas and holiday bonuses
• Clear career path in a growing multinational organization