

Signify Technology
Senior AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer on a 12-24 month contract, offering a competitive pay rate, remote work in the United States. Requires 5+ years in ML/AI engineering, proficiency in Python and SQL, and experience with cloud platforms and MLOps tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 16, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#GCP (Google Cloud Platform) #TensorFlow #Grafana #Scala #AI (Artificial Intelligence) #Cloud #Data Pipeline #Spark (Apache Spark) #Python #PyTorch #Deep Learning #Kafka (Apache Kafka) #Prometheus #Version Control #Java #Docker #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Azure #Airflow #MLflow #SQL (Structured Query Language) #FastAPI #Hugging Face #Langchain #Transformers #AWS (Amazon Web Services) #Kubernetes #GIT
Role description
Job title: Senior AI/ML Engineer
Job type: Contract
Contract Length: 12-24m
Rate: Dependent on experience
Role Location: United States (Remote)
The company:
A global financial services firm with a strong focus on digital innovation and AI-driven solutions. This client supports a wide range of banking and investment products, leveraging machine learning to enhance decision-making and client experiences. Their engineering teams work on scalable, secure systems that integrate cutting-edge ML technologies.
About the Role
Weβre looking for an experienced AI/ML Engineer to join this client's growing team focused on building scalable, production-grade machine learning systems. Youβll design, deploy, and monitor models that power intelligent features across their platform.
Responsibilities
β’ Design and implement ML models using Python, PyTorch, TensorFlow, and Scikit-learn.
β’ Build and maintain data pipelines using Spark, Airflow, and SQL.
β’ Deploy models to production using Docker, Kubernetes, and FastAPI.
β’ Collaborate with MLOps engineers to manage model lifecycle with MLflow and monitor performance using Prometheus and Grafana.
β’ Work with cloud platforms (AWS/GCP/Azure) to scale training and inference workloads.
β’ Conduct experiments and track results using Weights & Biases or Comet.ml.
β’ Ensure reproducibility and version control of data and models using DVC and Git.
Requirements
β’ 5+ years of experience in ML/AI engineering, with a strong software engineering background.
β’ Proficiency in Python and SQL; familiarity with Java or Scala is a plus.
β’ Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
β’ Experience deploying models in cloud environments (AWS, GCP, or Azure).
β’ Solid understanding of MLOps practices and tools.
β’ Strong communication skills and ability to work in a collaborative environment.
β’ Experience with LangChain, Hugging Face Transformers, or LLM fine-tuning.
β’ Familiarity with streaming data tools like Kafka or Flink. Contributions to open-source ML projects.
Accessibility Statement:
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment to Diversity, Equity, and Inclusion:
Signifyβs mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Check out our DE&I page here
Job title: Senior AI/ML Engineer
Job type: Contract
Contract Length: 12-24m
Rate: Dependent on experience
Role Location: United States (Remote)
The company:
A global financial services firm with a strong focus on digital innovation and AI-driven solutions. This client supports a wide range of banking and investment products, leveraging machine learning to enhance decision-making and client experiences. Their engineering teams work on scalable, secure systems that integrate cutting-edge ML technologies.
About the Role
Weβre looking for an experienced AI/ML Engineer to join this client's growing team focused on building scalable, production-grade machine learning systems. Youβll design, deploy, and monitor models that power intelligent features across their platform.
Responsibilities
β’ Design and implement ML models using Python, PyTorch, TensorFlow, and Scikit-learn.
β’ Build and maintain data pipelines using Spark, Airflow, and SQL.
β’ Deploy models to production using Docker, Kubernetes, and FastAPI.
β’ Collaborate with MLOps engineers to manage model lifecycle with MLflow and monitor performance using Prometheus and Grafana.
β’ Work with cloud platforms (AWS/GCP/Azure) to scale training and inference workloads.
β’ Conduct experiments and track results using Weights & Biases or Comet.ml.
β’ Ensure reproducibility and version control of data and models using DVC and Git.
Requirements
β’ 5+ years of experience in ML/AI engineering, with a strong software engineering background.
β’ Proficiency in Python and SQL; familiarity with Java or Scala is a plus.
β’ Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
β’ Experience deploying models in cloud environments (AWS, GCP, or Azure).
β’ Solid understanding of MLOps practices and tools.
β’ Strong communication skills and ability to work in a collaborative environment.
β’ Experience with LangChain, Hugging Face Transformers, or LLM fine-tuning.
β’ Familiarity with streaming data tools like Kafka or Flink. Contributions to open-source ML projects.
Accessibility Statement:
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment to Diversity, Equity, and Inclusion:
Signifyβs mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Check out our DE&I page here