Generative Ai Engineer (Remote)

Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

Pipeline Talent

Generative Ai Engineer (Remote)

Generative Ai Engineer | Pipeline Talent | Poland

Company Overview:

Join our dynamic team at Pipeline Talent, a leadingholding company with diverse business interests across various industries.We pride ourselves on innovation and creativity, consistently pushing the...

Generative Ai Engineer | Pipeline Talent | Poland

Company Overview:

Join our dynamic team at Pipeline Talent, a leading holding company with diverse business interests across various industries. We pride ourselves on innovation and creativity, consistently pushing the boundaries of technology to make a meaningful impact across different sectors.

Position Overview:

We are seeking a highly skilled Generative AI Engineer to join our team. You will work on the development of cutting-edge AI models and systems, leveraging advanced techniques in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG). This is a unique opportunity to contribute to impactful projects, collaborate with cross-functional teams, and help shape the future of generative AI within our organization.

Key Responsibilities:

  • Develop cutting-edge RAG models and large language models using advanced techniques in NLP, NLU, and NLG.
  • Collaborate with cross-functional teams to define AI project requirements, ensuring alignment with business goals.
  • Conduct research on the latest advancements in generative AI, machine learning, and deep learning to integrate new opportunities into our products.
  • Optimize existing generative AI models for performance, scalability, and efficiency.
  • Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
  • Prepare datasets and ensure they are AI-ready, with a focus on feature creation and alignment.
  • Create clear and concise documentation to communicate complex AI concepts to both technical and non-technical stakeholders.
  • Contribute to the establishment of best practices for generative AI development within the organization.
  • Provide technical mentorship and guidance to junior team members.

Key Requirements:

  • A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proficiency in Python, with experience in machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Familiarity with at least one cloud platform (GCP preferred, followed by AWS or Azure).
  • Experience with NLP techniques and tools, such as SpaCy, NLTK, or Hugging Face.
  • Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly.
  • Knowledge of software development methodologies, including Agile or Scrum.
  • Excellent problem-solving skills, with the ability to think critically and creatively to develop AI solutions.
  • Strong communication skills, able to convey complex technical concepts effectively to diverse audiences.
  • A proactive mindset, with the ability to work both independently and collaboratively in a fast-paced environment.

Optional / Good to Have:

  • Experience developing and implementing generative AI models, with a deep understanding of techniques such as GPT, VAE, and GANs.
  • Knowledge of Retrieval Interleaved Generation (RIG).
  • Experience with other NLP areas like sentiment analysis or chatbot development.
  • Familiarity with MultiAgent GenAI or AutoGen is a plus but not mandatory.

Why Pipeline Talent: At Pipeline Talent, we embrace innovation and creativity. You’ll have the opportunity to work in a forward-thinking environment that encourages collaboration, personal growth, and impact. Your work will help shape the future of AI in multiple sectors.

How to Apply: To apply for this position, please submit your application, including your GitHub link and all necessary information. We look forward to reviewing your work and discussing how you can contribute to our innovative projects.

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