Senior / Lead Machine Learning Engineer (MLOps)

IFS; Comunidad Valenciana; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company where innovation thrives! This role is perfect for those passionate about AI and machine learning. You'll work autonomously to identify high-value opportunities, guide technology trends, and develop impactful AI projects. Collaborate with diverse teams to create and monitor cutting-edge ML models. If you're ready to make your mark in a dynamic environment that values creativity and sustainability, this is the opportunity for you. Embrace flexibility and contribute to meaningful projects that drive change and foster a better future.

Servicios

Flexible Work Opportunities

Inclusive Workplace Experiences

Community Engagement

Innovation-Driven Environment

Formación

• 3+ years of ML experience for Senior, 5+ for Lead, with successful projects.
• Expertise in deploying AI/ML solutions from design to monitoring.

Responsabilidades

• Identify high-value AI/ML opportunities to enhance products.
• Collaborate with teams to create and deploy tailored ML models.

Conocimientos

Machine Learning Expertise

AI/ML Solutions Production

Cloud ML Solutions

Model Deployment

Model Monitoring

Software Engineering

Scripting

Pipeline Orchestration

Programming Skills (Python, C#)

Data Handling

Communication Skills

Soft Skills

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Seldon Core

KServe

Elastic Stack

Prometheus

MLflow

Weights & Biases

Spark

Dask

Polars

Terraform

Helm Charts

Airflow

Kubeflow

Argo Workflows

Descripción del empleo

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

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 understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. 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. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

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. You’ll be working with autonomy, accountability, and technical brilliance. Your mission includes:

1. Identify High-Value AI/ML Opportunities: Spot high-value AI/ML opportunities to enhance our product offerings.
2. Guide AI/ML Technology Trends: Serve as our AI/ML technology expert, guiding the team towards the latest AI infrastructure and delivery trends. Provide estimates and shape our AI delivery platform.
3. Develop and Integrate AI Projects: Craft and integrate AI projects from the ground up. Take proofs of concept through to implementation and deployment, ensuring scalability and top-tier performance.
4. Collaborate with Cross-Functional Teams: Work closely with Data Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers to define, create, deploy, monitor, and document ML models that are both tailored and industry-leading.
5. Evangelize AI/ML Technology: Become an AI/ML technology evangelist. Shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications

1. Experience: 3+ years of machine learning (ML) expertise for Senior, 5+ years of machine learning (ML) expertise for Lead, demonstrated through successfully completed projects.
2. AI/ML Solutions: Expertise in bringing AI/ML solutions to production, including scoping, design, development, testing, deployment, and monitoring.
3. Cloud ML Solutions: Knowledge in creating and delivering Cloud ML solutions at scale using Docker, Kubernetes, and cloud services (e.g., AWS, Azure, GCP).
4. Model Deployment: Experience with model deployment and serving tools like Seldon Core and KServe.
5. Model Monitoring: Expertise in monitoring models and evaluating metrics to drive optimizations using tools like Elastic Stack, Prometheus, and Alibi Detect.
6. Software Engineering and DevOps: Solid background in software engineering, DevOps, and MLOps practices, with familiarity in managing infrastructure as code using tools like Terraform and Helm Charts.
7. Scripting: Expertise in scripting (shell) to automate tests and procedures, ensuring reliability and validity of code repositories.
8. Pipeline Orchestration: Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo Workflows.
9. Programming Skills: Proficiency in Python, C#, and ML libraries and tools such as Semantic Kernel, LangChain, Keras, TensorFlow, and PyTorch.
10. ML Experiment Tracking: Familiarity with ML experiment tracking and collaboration tools, such as MLflow and Weights & Biases.
11. Data Handling: Skills in data handling and feature engineering, with the ability to use big data technologies such as Spark, Dask, and Polars.
12. Communication Skills: Outstanding communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and work effectively with cross-functional teams.
13. Soft Skills: A results-driven attitude, a passion for innovation, and a proactive, self-starting nature. Strong organizational skills, capable of juggling multiple tasks, and a strategic thinker always on the hunt for the next big thing.

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.