Job ID: JOB_ID_5639
Job Description
We are looking for an experienced AI/ML Developer to design, develop, and implement machine learning and AI models for business applications. This role requires a strong understanding of deep learning, NLP, computer vision, or generative AI, with hands-on experience in Python (preferred) or Java/C programming.
The ideal candidate will have practical experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as data processing tools like Pandas and Apache Spark. You will be responsible for deploying models via APIs, microservices, and cloud-native architectures, utilizing Docker & Kubernetes, and implementing MLOps practices for automation, versioning, and monitoring.
This position involves model monitoring, drift detection, and retraining, with experience on cloud platforms like AWS, GCP, or Azure being essential. Experience with multiple cloud platforms and production-scale deployment is considered a plus.
Key Responsibilities:
- Design, develop, and implement ML/AI models for business applications.
- Utilize deep learning, NLP, computer vision, or generative AI techniques.
- Write efficient code in Python (preferred) or Java/C.
- Work with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Perform data processing using Pandas and Apache Spark.
- Deploy models via APIs, microservices, and cloud-native architectures.
- Implement containerization using Docker & Kubernetes.
- Apply MLOps practices including automation, versioning, and monitoring.
- Monitor models for drift and implement retraining strategies.
- Work with cloud platforms: AWS, GCP, or Azure.
Must-Have Requirements:
- Experience with deep learning, NLP, computer vision, or generative AI.
- Strong Python (preferred) or Java/C programming skills.
- Hands-on experience with TensorFlow, PyTorch, Scikit-learn.
- Proficiency in data processing using Pandas, Apache Spark.
- Experience with model deployment via APIs, microservices, and cloud-native architectures.
- Docker & Kubernetes experience.
- Understanding of MLOps practices (automation, versioning, monitoring).
- Experience with model monitoring, drift detection, and retraining.
- Experience with cloud platforms: AWS, GCP, or Azure.
Nice-to-Have:
- Experience with multiple cloud platforms.
- Production-scale deployment experience.
Special Requirements
Onsite
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Basking Ridge, NJ
Recruiter / Company – Contact Information
Email: santhosh@prophecytechs.com
Recruiter Notice:
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