Expression of Interest Senior Data Scientist with AI product mindset

Responsibilities

• 5 years of experience in different Data Science topics (e.g. machine learning, LLM, deep learning)

• Deliver independently Data Science projects, bring an e2e productoriented mindset

• Engage directly with clients to understand their business objectives and translate them into technical requirements.

• Lead presales technical discussions, demonstrating the value and capabilities of our analytics solutions.

• Collaborate with crossfunctional teams to integrate AIML solutions into the companys product offerings.

• Provide thought leadership and mentorship within the team, fostering a culture of continuous learning and innovation.

• Stay abreast of industry trends and advancements in AIML to ensure our solutions remain cuttingedge.

• Qualifications

  General qualifications:

  • Fluent English speaker with excellent communication skills, comfortable in clientfacing roles.

  • 5 years of experience in data science or a related field.

  • Handson experience with LLM projects, machine learning, deep learning.

  • Affinity to building product productoriented vision

  • Domain expertise in any of the following fields is highly preferred: international finance, healthcare, pharma or meteorology.

  • Technical requirements:

    • Strong Python and SQL skills

    • Leverage cloudbased data science tools on AWS (SageMaker, Bedrock), Azure, or GCP for scalable model training and deployment

    • IDE (e.g.: Jupyter, VSCode)

    • Version control Git BitBucket AZ DevOps

    • Core machine learning libraries (sklearn, LightGBM, torch)

    • Traditional ML projects (supervised and unsupervised)

    • NLP experience affinity: Understand concepts of text classification, information extraction

    • Generative AI & LLM frameworks HuggingFace transformers, OpenAI; proprietary API & opensource models

    • Understand concepts of RAG, build & maintain pipeline, understand concepts of pretraining, finetuning

    • Nice to have:

      • Databricks distributed computing scalable ML

      • Familiarity with database systems (SQL, NoSQL)

      • ML Lifecycle management (e.g.: MLFlow wandb)

      • Web frameworks (e.g.: Streamlit FastAPI Flask)

      • Automatization pipelines on cloud (e.g.: Azure Functions, AWS Lambda, Databricks notebook jobs)

      • API integration

      • Experience with deploying ML models in production environments

      • Experience with LangChain LlamaIndex

      • Understanding of LLM Agents, agentic behavior, prompt engineering

      • Being able to differentiate what needs LLMs and what can be solved with traditional ML NLP

      • Additional Information

        Why us?

        • Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.

        • Cutting edge technology: You will work with many of the most uptodate technologies and tools.

        • Strong and motivating team: We stress the importance of working together in tightknit, cohesive teams in which members help each other to reach the common goal.

        • Worklife balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.

        • Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.

        • Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.

        • Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.