We are looking for a machine learning and natural language processing specialist to explore design and develop new Machine Learning solutions for a Firm-wide user base leveraging many tools. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching building and maintaining data science models at scale in an enterprise environment. The position requires good communication skills ability to work together in cross-functional technical teams in different areas of the organization.
Key Responsibilities
Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications legal documents regulatory requirements etc.
Design and implement business solution in agile squads. Engage in Machine Learning project which includes problem definition Data Engineering Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
Develop maintain and track detailed delivery plans. Strong Data analysis processing discovery skills.
Required Skills
At least 4 years of experience with design and implementation of machine learning predictive analysis data science knowledge bases recommendation systems information retrieval.
Strong understanding of the foundational concepts and applied experience in Machine Learning and model explain ability (ideally a combination of excellent academic research and high-impact commercial projects).
In depth understanding of common Machine Learning algorithms (e.g. for classification regression and clustering).
Experience with LLM models and Open AI. In depth knowledge of advanced statistical theories methodologies and inference tools.
Proven track record in some of the advanced topics such as Bayesian inference hierarchical models deep learning Gaussian processes and causal inference.
Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
Strong analytical and problem-solving skills.
Requirements
Primary Skills
Deep technical understanding of Windows operating systems up to and including Windows 10 / 11 / Server 2019
Experience with Windows 10 / 11 Intune Modern Management.
Expertise with SCCM OSD orchestration and software delivery concepts. Knowledge of common Windows Infrastructure i.e. Active Directory / GPO / DFS / PKI.
Advanced scripting skills with PowerShell.
Extensive experience with Enterprise workloads migration to the cloud such as network drives content to Microsoft OneDrive for Business.
Knowledge of common Windows Infrastructure technologies including Active Directory, Group Policy, DNS / NRPT, PKI / CA, RADIUS, NPS, etc.
Experience automating workflows and providing self service capability.
Client / Server hardware knowledge and management in an enterprise environment.
Experience designing technical solutions to meet complex business requirements.
Ability to author technical and operational management documentation including design and support docs, operational runbooks, internal knowledge base articles, etc Secondary Skills
Experience of Windows Modern Management (Intune, Autopilot, Windows Virtual Desktop, etc)
Desktop / Laptop Hardware Knowledge and Management in an enterprise environment (i.e. driver, firmware, bios management).
Understanding of Agile principles and how to apply them.
Infrastructure systems including experience with Jira.