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 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 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 cutting-edge.
Qualifications :
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
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 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.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
