Cloud Native MLOps Specialist

1 day ago


Fatih, Istanbul, Turkey Vodafone Full time

We are seeking a talented individual to lead our AI and Machine Learning efforts. As a seasoned Data Science and Engineering professional, you will be responsible for designing, developing, and deploying scalable machine learning solutions leveraging modern technologies and methodologies.

Main Responsibilities
  1. End-to-End ML Lifecycle Management:
  2. Generative AI Enablement:
  3. MLOps Pipelines:
  4. Model Performance Optimization:
  5. Collaboration:
  6. Monitoring and Maintenance:
  7. Data Engineering:
  8. Documentation:
  9. Research and Innovation:
About the RoleRequirements
  • 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:
    • Expertise in ML frameworks like TensorFlow, PyTorch, and HuggingFace, alongside GenAI technologies such as LLMs, GANs, and Transformer Architectures.
    • Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).
    • Experience in building multi-agent systems using LangFlow.
    • Skilled in capacity planning and designing scalable, efficient infrastructure.
    • Strong programming skills in Python; additional languages are a plus.
    • Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.
    • Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.
    • Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.
    • Deep understanding of model evaluation techniques and metrics.
    • Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.
    • Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.
    • Experience with containerization (Docker) and orchestration (Kubernetes).
    • Experience in working with cloud platforms (Azure and GCP) and hybrid infrastructure.
    • Proficiency in Linux systems and bash scripting.
    • Experience with deep learning, and NLP techniques are plus.
    • 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.
Benefits

We offer a range of benefits, including Vflexy: Flexible Benefits Program, Hybrid working kit, Ergonomic kit allowance, Employee assistance hotline & counselling, Comprehensive and flexible private health insurance, and Discounted price deals for wide range of products & services.



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