Lead - Machine Learning Engineer

Enjoy Exploring Our Unique Friendly Atmosphere: Where Opportunities Thrive

Discover a global community where innovation and camaraderie thrive. Beko, a leader in home appliances, is more than just a company; it's a dynamic space where your talents can flourish and your journey to success begins.

At Beko, every voice matters, and every contribution is valued. Our culture fosters continuous learning, growth, and empowerment, enabling you to reach your full potential.

Explore limitless opportunities in our friendly and collaborative environment—where your success story begins.

What awaits you in this role?

• Develop, train, and optimize machine learning models, including traditional ML algorithms and cutting-edge LLMs.
• Apply machine learning techniques such as supervised learning, unsupervised learning, and reinforcement learning to address diverse challenges.
• Fine-tune and train LLMs (e.g., GPT, BERT, T5) for specific applications, leveraging tools like Hugging Face Transformers.
• Design and implement end-to-end machine learning pipelines, from data preprocessing to model deployment.
• Conduct rigorous experimentation to evaluate and improve model performance, robustness, and scalability.
• Collaborate with data engineers, scientists, and software developers to integrate ML models into production environments.
• Stay updated on advancements in ML, NLP, and generative AI to identify new opportunities and methodologies.

The position is located in Istanbul, Turkey.

How do we describe a perfect match?

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
• Extensive experience in building and deploying machine learning models, including hands-on experience with traditional ML algorithms (e.g., SVMs, Random Forests) and deep learning frameworks (TensorFlow, PyTorch).
• Expertise in developing and fine-tuning LLMs and generative models for real-world applications.
• Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of key ML concepts: feature engineering, hyperparameter tuning, and model evaluation.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) for training and deploying ML models.
• Solid understanding of NLP concepts, tokenization, attention mechanisms, and transformer architectures.

Preferred Skills:

• Knowledge of MLOps practices, including model versioning, deployment, and monitoring.
• Familiarity with distributed computing frameworks and tools like Spark or Dask for handling large datasets.
• Experience in reinforcement learning or multi-modal AI systems.
• Strong analytical and problem-solving skills with the ability to debug and improve complex ML systems.
• Strong communication skills for presenting technical concepts to non-technical stakeholders.

We are an equal-opportunity employer. All applicants will be considered for employment without attention to race, sex, color, national or social origin, ethnicity, religion, age, pregnancy, disability, sexual orientation, gender identity and expression, marital status, or political opinion.

At Beko, where it feels like home, we invite you to explore…

• Professional Development: Access tailored opportunities through our global minds network.
• Global Community: Contribute to a community of like-minded individuals.
• Well-being: Enjoy holistic support in physical, mental, financial, career, social, and family wellness, including sports teams, hobby clubs, social activities, counseling, dietitian support, and more.
• Innovation Culture: Experience continual growth in our innovative environment.
• Leadership: Develop leadership skills at any level in our trusted lifestyle solutions environment.
• Flextra Benefits: Customize your benefits with our flexible program.
• Exclusive Discounts: Enjoy discounts on appliances and more via Koç Ailem Membership.

Join the Beko Community to open a new chapter in your life journey, where growth, innovation, and personal fulfillment make it feels like home.