Machine Learning Engineer

What you’ll do

MLOps Engineer at Vodafone Turkey

We are seeking an experienced MLOps Engineer to design, build, and maintain scalable machine learning solutions leveraging modern technologies and methodologies. The ideal candidate will play a critical role in operationalizing ML models and supporting advanced initiatives, including Generative AI (GenAI) projects. You will ensure robust infrastructure, seamless pipelines, and high-performing applications in hybrid environments, including local analytic platforms (Cloudera & PracticusAI) and cloud ecosystems.

Key Accountabilities

• End-to-End ML Lifecycle Management: Design, develop, and deploy high-performing, scalable ML models and applications for petabyte-scale data in big data and hybrid cloud environments.

• Generative AI Enablement: Contribute to the development and deployment of GenAI solutions, including LLMs, GANs, and other advanced AI methodologies.

• MLOps Pipelines: Develop, maintain, and optimize automated CI/CD pipelines for model deployment, monitoring, and retraining to ensure model reliability and scalability.

• Model Performance Optimization: Fine-tune and monitor models, leveraging MLOps principles to ensure business relevance and technical excellence.

• Collaboration: Partner with data science and engineering teams to integrate ML models into operational workflows, including campaign management systems, mobile apps, and analytics platforms.

• Monitoring and Maintenance: Establish and manage monitoring systems for deployed models, ensuring performance metrics and KPIs are met.

• Data Engineering: Collect, preprocess, and validate large datasets; build and maintain data pipelines for feature engineering and model training.

• Documentation: Create and maintain high-level design (HLD), low-level design (LLD), and other solution documentation for ML applications.

• Research and Innovation: Stay updated on advancements in ML, GenAI, and MLOps tools and techniques to continuously improve solutions.

Who you are

Qualifications

 

- Bachelor's or higher degree in Computer Science, Mathematics, Engineering, or a related field with strong analytical and computational skills.

- At least 5 years of hands-on experience designing, building, and deploying ML applications in large-scale data environments.

- Technical Proficiency:

o Expertise in ML frameworks like TensorFlow, PyTorch, and HuggingFace, alongside GenAI technologies such as LLMs, GANs, and Transformer Architectures.

o Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).

o Experience in building multi-agent systems using LangFlow.

o Skilled in capacity planning and designing scalable, efficient infrastructure.

o Strong programming skills in Python; additional languages are a plus.

o Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.

o Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.

o Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.

o Deep understanding of model evaluation techniques and metrics.

o Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.

o Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.

o Experience with containerization (Docker) and orchestration (Kubernetes).

o Experience in working with cloud platforms (Azure and GCP) and hybrid infrastructure.

o Proficiency in Linux systems and bash scripting

o Experience with deep learning, and NLP techniques are plus.

o Experience with Big Data technologies such as Hadoop, Spark, Solr/Elastic Search, Nifi is a plus.

 

- Solid understanding of data pipelines, data wrangling, and feature engineering for ML models.

- Strong problem-solving abilities, attention to detail, and a collaborative mindset.

- Experience working in agile teams and delivering results in fast-paced environments.

- Knowledge of privacy, cybersecurity and model interpretability for AI governance

Not a perfect fit

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.

What's in it for you

We like to keep them flexible:

 

• Vflexy: Flexible Benefits Program

• Hybrid working kit

• Ergonomic kit allowance

• Digital meal voucher

• Flexible transportation allowance.

• Employee assistance hotline & counselling

• Comprehensive and flexible private health insurance

• Discounted price deals for wide range of products & services

 

 

Plus, plenty more to enjoy!

 

#LI-Hybrid

 

 

Data Privacy

By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.

Who we are

You may have already heard of Vodafone - We're a leading Telecommunications company in Europe and Africa. But what you might not know is that we are continuously investing in new technologies to improve the lives of millions of customers, businesses and people around the world, creating a better future for everyone.

 

As part of our global family, whether that's Vodafone, Vodacom or _VOIS, you'll feel a sense of pride and purpose as you contribute to our culture of innovation. We pursue equality of opportunity and inclusion for all candidates through our employment policies and practices.