Title: Python Developer/AI Developer
Location: Jersey City, NJ
Note: Minimum 10 years development experience
UPDATE: THIS POSITION IS ACTUALLY FOR A PYTHON/AI DEVELOPER. IT IS PRIMARY FOCUS IS PYTHON DEVELOPMENT FOR AI APPLICATIONS SO A CANDIDATE CAN BE VERY STRON IN PYTHON AND HAVE SOME AI EXPERIENCE AND THEY WILL TEACH THE AI PART.
Requirement Notes (Candidate Job description below) : Two senior (10+ YEARS) ML and GenAI engineers (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
Key aspects are strong engineering and Comp Sci background, distributed system design, public cloud (AWS/Azure/Google Cloud Platform) and some demonstrated interest and delivery in AI (the latter can be more recent and can be further learned). *** THE MANAGER WANTS SENIOR AI DEVELOPERS WITH GOOD EDUCATIONAL BACKGROUND AND RECENT EXPERIENCE LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails.
Note:
key aspects are strong engineering and Comp Sci background, distributed system design, public cloud (AWS/Azure/Google Cloud Platform) and some demonstrated interest and delivery in AI (the latter can be more recent and can be further learned).
Job Description
Client is hiring the best talents to join the growing Asset and Wealth Management AI Engineering team. We are executing like a startup and building next-generation technology that combines clients unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.
As a senior ML and GenAI engineer (VP), you will will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.
Job Responsibilities
• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
• Collaborate across clients AWM’s lines of business and functions to accelerate adoption of common AI capabilities
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Deploy solutions into public cloud infrastructure
• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
Required qualifications, capabilities, and skills
5. Minimum 10 years development experience
6. Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
7. Solid Python programming skills required
8. Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
9. Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails
10. Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
11. Expertise in application, data, and infrastructure architecture disciplines
12. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
13. Excellent communication skills and ability to communicate with senior technical and business partners
14. MS in Computer Science, Statistics, Mathematics or Machine Learning.
Preferred qualifications, capabilities, and skills
• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn
• Understanding of finance or wealth management businesses is an added advantage
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