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hiflylabs

Senior Data Scientist with AI product mindset

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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 product-oriented mindset

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

  • Lead pre-sales technical discussions, demonstrating the value and capabilities of our analytics solutions.

  • Collaborate with cross-functional teams to integrate AI/ML solutions into the company's 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 AI/ML to ensure our solutions remain cutting-edge.

General qualifications:

  • Fluent English speaker with excellent communication skills, comfortable in client-facing roles.

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

  • Hands-on experience with LLM projects, machine learning, deep learning.

  • Affinity to building product / product-oriented 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 cloud-based 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 & open-source models

  • Understand concepts of RAG, build & maintain pipeline, understand concepts of pretraining, fine-tuning

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

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 up-to-date technologies and tools.

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

  • Work-life 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.