JOB DESCRIPTION
DESCRIPTION:
Duties: Drive the end to end modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative analysis, and writing and maintaining code. Coordinate cross-functional engineering teams to architect and implement scalable AI Agents, Agentic workflows, and Generative AI solutions. Develop presentations to communicate key findings, business metrics, and strategic recommendations to senior management and stakeholders. Responsible for adherence to model governance, change management, risk, and Responsible AI policies and procedures. Connect with industry participants to remain aware of active scientific research and adapt to our design principles. Build and Maintain vendor relationships and support external outreach efforts. Mentor junior team members on building technical expertise.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Data Science, Computer Science, or related field of study plus four (4) years of experience in the job offered or as Applied AI ML, Applied Scientist, Data Scientist, or related occupation.
Skills Required: This position requires four (4) years of experience with the following: Coding in Python, Java, C#, and R; Building, training, and deploying neural network architectures including Transformers, CNN, and LSTM using PyTorch, TensorFlow and JAX; Pre-training, fine-tuning, and deploying domain specific neural models using user transcript and conversational data; Developing real-time and high-throughput concurrent inference pipelines and deploying customized language models using EKS, ECS, and SageMaker; Implementing production facing code for Big Data analytics using OpenSearch, Spark, and EMR; Data warehousing and data lake management using Databricks, Snowflake, and S3; Designing and conducting statistical modeling and A/B testing to measure, assess, and optimize model performance; Architecting advance natural language search and retrieval system such as RAG, knowledge graph, or vector databases. This position requires two (2) years of experience with the following: Modernizing legacy machine learning workflows and migrating to Gen AI solutions; Creating foundational capabilities to support, optimize, and scale Agentic AI solutions such as MCP, A2A, or multi-agent system. This position requires one (1) year of experience with the following: Enhancing transcription and phonetic errors robustness in downstream ASR and speech-to-text applications by leveraging multimodal data across audio, text, and image modalities such as Joint Latent Space Embeddings.
Job Location: 277 Park Ave, New York, NY 10172.
Full-Time. Salary: $183,000.00-$260,000.00 per year.
