Note: The job is a remote job and is open to candidates in USA. Ingress IT Services is seeking an experienced Machine Learning Engineer to build, deploy, and scale machine learning solutions in cloud-native production environments. The ideal candidate will combine strong software engineering skills with expertise in MLOps, cloud technologies, and production-grade AI systems.
Responsibilities
- Design, develop, and deploy machine learning models and AI applications into production environments
- Build scalable training, inference, and feature engineering pipelines
- Develop MLOps frameworks for model versioning, monitoring, retraining, and governance
- Collaborate with Data Scientists, Data Engineers, and Product teams to deliver end-to-end machine learning solutions
- Build APIs and microservices to expose machine learning models for enterprise applications
- Implement CI/CD pipelines for automated testing and deployment of ML solutions
- Monitor production systems for model drift, performance degradation, and operational issues
- Optimize models for latency, scalability, and cost efficiency
- Create technical documentation and architectural design artifacts
Skills
- Strong programming skills in Python, SQL, and software engineering principles
- Experience with TensorFlow, PyTorch, Scikit-learn, and XGBoost
- Hands-on experience with Docker, Kubernetes, and container orchestration
- Experience with AWS services such as SageMaker, Lambda, ECS, EKS, S3, and Redshift
- Strong understanding of CI/CD tools including Jenkins, GitHub Actions, and Azure DevOps
- Experience building REST APIs using FastAPI or Flask
- Familiarity with Spark, PySpark, and distributed computing frameworks
- Experience with MLflow, Kubeflow, Airflow, and model monitoring tools
- Experience with Large Language Models (LLMs), RAG architectures, prompt engineering, and AI agents
- Experience with LangChain, Hugging Face, OpenAI APIs, and Vector Databases such as Pinecone, FAISS, or ChromaDB
- Experience in highly regulated industries such as Banking, Healthcare, and Insurance
- Strong understanding of system design, scalability, and cloud architecture
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field
Benefits
- Strictly- on w2.
- Location: Remote / Hybrid / Onsite (US)
Company Overview