Haystack
← Back to Jobs
Technology
AG

AI/ML Engineer with Python - W2 Only

ASCII Group LLCNew York, NY🇺🇸United StatesPosted 25 Aug 2026

Quick Overview

Salary
$60/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
22 hours ago
DockerSQLAWSETLMLOpsMachine LearningNLPScikit-learnAzureDeep LearningGenerative AIHugging FaceKubernetesLLMPyTorchPython

Job Description

Title                                       :  AI/ML Engineer with Python

Location                               :  New York, NY - Hybrid

Duration                              : 12 months

Position                                 : W2 Position

Rate                                        :$60/hr on W2

Relevant Experience (in Yrs.): 10+

              

Detailed Job Description:

·         Design and develop AI/ML solutions using supervised, unsupervised, deep learning, NLP, time series forecasting, and anomaly detection techniques to address business challenges.

·         2. Build Generative AI applications leveraging LLMs, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and AI agent frameworks.

·         Experience of working for banking domain

·         Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.

·         Demonstrate strong programming expertise in Python and SQL, with hands-on experience in ML libraries such as Scikit-learn, Tensor Flow, PyTorch, Hugging Face, SpaCy, and NLTK.

·         Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Data bricks, or Microsoft Fabric.

·         Implement MLOps best practices, including CI/CD pipelines, model governance, explain ability, monitoring, Docker-based containerization, and Kubernetes orchestration.

·         Deploy AI models through APIs and micro services, ensuring seamless integration with enterprise applications, systems, and cloud platforms.

·         Utilize cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon Sage Maker.

·         Collaborate with business and technology stakeholders to translate business requirements into scalable AI solutions while tracking ROI and value realization.

·         Contribute to AI innovation and best practices through reusable frameworks, AI copilots, semantic models, knowledge graphs, Lang Chain/Semantic Kernel orchestration, and synthetic data techniques

 

Have Skills

·         AI

·         Python

·         Banking Domain Experience

·         MLOp

·         LLM / RAG

Similar jobs