Senior Data Scientist RD AI Engineering
Senior Data Scientist RD AI Engineering
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Job Description
This role is all about handson technical prowess. Youll be in the drivers seat working with autonomy accountability and technical brilliance. Your mission includes:
- Identify HighValue AI/ML Prospects: Spot highvalue AI/ML opportunities within our product offerings.
- Guide AI/ML Technology Trends: Serve as the AI/ML expert guiding the team towards the latest and greatest technology trends. Shape the roadmap by providing estimates and implementation strategies.
- Develop and Integrate Data Science Projects: Craft and integrate data science projects from the ground up. From framing problems and experimenting with proofs of concept to the grand finale of implementation ensure scalability and toptier performance.
- Collaborate with CrossFunctional Teams: Work closely with Data Engineers ML Engineers Software Engineers Solution Architects and Product/Program Managers to define create deploy monitor and document ML models that are both tailored and industryleading.
- Evangelize AI/ML Technology: Become an AI/ML evangelist. Shine on the conference stage host webinars and pen compelling white papers and blogs. Share discoveries with clients and internal stakeholders offering actionable insights that drive change.
Qualifications :
- Experience: 3 years of data science expertise demonstrated through successful projects.
- AI/ML Solutions: Mastery in bringing AI/ML solutions to life from start to finish including scoping design development testing deployment and monitoring.
- Statistical Modeling: Deep understanding of advanced statistical modeling and analysis.
- Programming Skills: Proficiency in Python and its ML libraries and tools.
- ML Experiment Tracking: Familiarity with ML experiment tracking and collaboration tools such as MLflow and Weights & Biases.
- Software Engineering and DevOps: Solid background in software engineering DevOps practices MLOps deployment and infrastructure.
- Generative AI Frameworks: Knowledge of generative AI frameworks and SDKs such as RAG LangChain Semantic Kernel and tools like MS tooling CoPilot Studio ML Studio Prompt Flow Kedro etc.
- Cloud ML Solutions: Expertise in creating and delivering Cloud ML solutions at scale using Docker and Kubernetes.
- Pipeline Orchestration: Proficiency with pipeline orchestration tools such as Airflow Kubeflow and Argo.
- Communication Skills: Outstanding communication skills combining subject matter expertise with a flair for statistics.
- Soft Skills: A resultsdriven attitude a passion for innovation and a proactive selfstarting nature. Strong organizational skills capable of juggling multiple tasks and a strategic thinker always on the hunt for the next big thing.
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
