Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.
Description: Job Title: Full Stack AI Engineer
Work Location & Reporting Address: New York, NY/Pittsburgh, PA/Lake Mary, FL (Hybrid 2-4 days a week work from office)
Vendor Rate: ***
Contract duration: 12 months
Target Start Date: Immediate
Does this position require Visa independent candidates only? Yes
Interview Process (Is face to face required?) Video mode
Job Details:
Minimum years of experience required: 5+ years of relevant experience; 10+ years of overall experience
Certification needed: No
Must Have Skills: AI, Python
Nice to Have Skills: Java Springboot, Angular
Detailed Job Description:
1. 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.
1. Experience of working for banking domain
2. Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.
3. Demonstrate strong programming expertise in Python and SQL, with hands-on experience in ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, SpaCy, and NLTK.
4. Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Databricks, or Microsoft Fabric.
5. Implement MLOps best practices, including CI/CD pipelines, model governance, explainability, monitoring, Docker-based containerization, and Kubernetes orchestration.
6. Deploy AI models through APIs and microservices, ensuring seamless integration with enterprise applications, systems, and cloud platforms.
7. Utilize cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon SageMaker.
8. Collaborate with business and technology stakeholders to translate business requirements into scalable AI solutions while tracking ROI and value realization.
9. Contribute to AI innovation and best practices through reusable frameworks, AI copilots, semantic models, knowledge graphs, LangChain/Semantic Kernel orchestration, and synthetic data techniques
Custom Fields:
Name: Intake Call Completed
Value: true
Name: Intake Call Requested
Value: true
EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.