Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specialising in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.
With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.
By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.
One of our client is looking for a Java Developer with AI @ PA- Contract ONSITE LOCAL
Please find below the details of the position.
Java with AI
Address : Pittsburgh, Pennsylvania (Only LOCAL and ONSITE all 5days)
Primary Skill : AI Search, CI/CD, LLMs
Job Description
- Over all 10+ years with 6+ years of software engineering experience, with 3+ years building ML or AI systems in production.
- Strong Java expertise(Java 11+), including Spring Boot, concurrency, and JVM performance tuning.
- Solid understanding of ML fundamentals supervised/unsupervised learning, model evaluation, feature engineering
- Experience with model serving frameworks (e.g. Triton, BentoML, custom REST wrappers) and integrating Python models into JVM environments (ONNX, PMML, or subprocess approaches).
- Hands-on with distributed data platforms Apache Kafka, Spark, or Flink.
- Familiarity with ML tooling MLflow, Kubeflow, or similar.
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerized deployments (Docker, Kubernetes)Comfortable with SQL and columnar data stores; experience with feature stores a plus
- Strong understanding of software design patterns, distributed systems, and API design
Nice to Have
- Experience in financial services capital markets.
- Exposure to LLMs, RAG pipelines, or generative AI in an enterprise context.
- Knowledge of model governance and explainability frameworks.
- Familiarity with regulatory expectations around model risk management.
- Architect and develop scalable ML pipelines and AI-powered services in Java, integrating with Python-based model artefacts where needed.
- Own the full ML lifecycle data ingestion, feature engineering, model serving, monitoring, and retraining.
- Build and maintain low-latency REST and gRPC microservices that expose model inference to downstream banking applications.
- Collaborate with data scientists to operationalize models (scikit-learn, XGBoost, PyTorch, etc.) into high-availability JVM-based inference engines.
- Design robust data pipelines using Kafka, Spark, or Flink for real-time and batch feature computation.
- Champion engineering best practices code review, testing, CI/CD, and observability within a regulated financial environment.
- Contribute to the team's MLOps maturity model versioning, A/B testing, drift detection, and performance dashboards
If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to saranyar at sensiple dot com
Regards
Sensiple Inc.,
saranyar at sensiple dot com
7 3 2 2 8 3 0 4 9 9 Ext 373
555 US Highway 1 S, Ste 330 Iselin, NJ 08830
Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.
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