Konnect IT Group, Inc.
Join to apply for the Senior AI Engineer role at Konnect IT Group, Inc. We are seeking a Senior AI Engineer with more than six years of experience designing, developing, and maintaining AI‑based systems. The ideal candidate will have advanced expertise in Python, R, and Java , with deep knowledge of machine learning algorithms, neural networks, data modeling, and secure AI practices . This role involves architecting intelligent solutions, guiding AI strategy, and mentoring junior engineers while ensuring scalability, security, and compliance in enterprise AI systems.
Key Responsibilities
- Lead the design, development, and deployment of AI and machine learning systems .
- Architect secure AI models using encryption methods and compliance standards.
- Build and optimize neural network‑based solutions to address business needs.
- Translate business requirements into scalable AI/ML models and intelligent applications.
- Oversee data modeling, engineering, and preprocessing pipelines .
- Integrate cloud‑based AI and machine learning services (AWS SageMaker, Azure ML, GCP AI).
- Drive MLOps practices for continuous deployment, monitoring, and retraining of models.
- Communicate complex AI concepts effectively to both technical and business stakeholders.
- Mentor junior AI engineers and contribute to AI capability building across teams.
- Ensure compliance with secure AI development practices and emerging AI governance frameworks.
Mandatory Skills
- Advanced expertise in Python, R, and Java for AI/ML development.
- Strong knowledge of machine learning models, algorithms, and encryption methods .
- Deep understanding of neural networks and their applications in AI solutions.
- Expertise in data modeling, engineering, and preprocessing .
- Proficiency in secure AI practices , including compliance and governance.
- Familiarity with cloud‑based AI/ML services (AWS, Azure, GCP).
- Strong ability to communicate AI concepts to technical and non‑technical audiences.
Desirable Skills
- Experience designing AI/ML architecture at the enterprise level.
- Hands‑on experience with MLOps pipelines (CI/CD for ML, monitoring, retraining).
- Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras).
- Familiarity with ethical AI practices and emerging regulatory standards.
- Leadership experience mentoring AI teams or leading research initiatives.
- Exposure to big data ecosystems (Hadoop, Spark, Kafka) for large‑scale AI training.
Seniority level
- Mid‑Senior level
Employment type
- Full‑time
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting
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