Senior Data Scientist with AI product mindset
Senior Data Scientist with AI product mindset
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Job Description
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 AI/ML 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 AI/ML 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.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
