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Senior/Lead Machine Learning Engineer

IFS

IFS

Software Engineering
Colombo, Sri Lanka
Posted on Thursday, February 15, 2024

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™.

At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.

If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS

Job Description

This role is all about hands-on technical prowess, and we expect you to bring your A-game. You will be working with autonomy, accountability, and technical brilliance. Your mission includes:

· Spotting high-value AI/ML opportunities to improve our product offerings.

· Serving as our AI/ML technology whisperer, guiding us towards the latest and greatest AI infrastructure and delivery trends. You will be a guru behind our productization estimates and AI delivery platform.

· Crafting and integrating AI projects from the ground up. Taking proofs of concept to the grand finale of implementation and deployment. You'll ensure scalability and top-tier performance.

· Locking arms with Data Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers. Collectively, you'll define, create, deploy, monitor, and document ML models that are both tailored and industry leading

. Becoming an AI/ML technology evangelist. Get ready to shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share your discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications

· A solid 5+ years of machine learning (ML) expertise, backed by proven ability with successfully completed projects.

· Expertise bringing incubated AI/ML solutions to production, including scoping, design, development, testing, deployment, and vigilant monitoring.

· Expertise in Python, C# and the tools and libraries that make ML magic happen like Semantic Kernel, Langchain, Keras, TensorFlow, Pytorch, etc.

· Knowledge in how to create and deliver Cloud ML solutions at scale using Docker, Kubernetes and Cloud services.

· Familiarity with ML experiment tracking and collaboration tools, such as Mlflow and Weights & Biases.

· Exposure to model deployment and serving tools like Seldon Core, KServe, etc.

· Expertise monitoring models and evaluating metrics to drive optimizations using tools like Elastic stack, Prometheus, Alibi detect, etc.

· Skills in data handling and feature engineering and the ability to use big data technology when appropriate e.g., Spark, Dask, Polars, etc.

· A solid background in software engineering, DevOps and MLOps practices, and familiarity with tools to manage infrastructure as code, like Terraform and package managers like Helm Charts.

· Scripting (shell) expertise to automate tests and procedures to ensure reliability and validity of code repositories.

· Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows.

· Outstanding communication skills, ability to convey complex technical concepts to non-technical stakeholders and work with cross-functional teams.

· A results-driven attitude, a passion for innovation, and a self-starting, proactive nature. You're organized, capable of juggling multiple tasks, and your creativity knows no bounds. You're a strategic thinker, always on the hunt for the next big thing.

Additional Information

Interviews and selections are made continuously. If you are interested, apply as soon as possible.

As a step in our recruitment process, all final candidates will undergo a background check, to get us an understanding of our future employees.

We respectfully decline all offers of recruitment and/or advertising assistance.