Senior AI Engineer
Orion Valley
Posted on 24 Feb
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Experience
5 - 7 Years
Education
Bachelor of Science(Computers), Master of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
- Lead the development of production-ready AI/ML models and algorithmsbr>- Optimize existing ML models for improved performance and scalability
- Collaborate with data scientists and engineers to productionize ML solutions
- Mentor junior team members and provide technical guidance
- Establish best practices for ML development and deployment
- Drive technical decision-making for AI/ML infrastructure
- Create and maintain documentation for ML systems and processes
- Evaluate and implement new ML technologies and frameworks
- Present technical findings to stakeholders and leadership
- Provide technical support for program management and business development activities including proposal writing and customer development
- Implement techniques to enhance the performance of AI systems, focusing on scalability, cost, and efficiency.
- Prepare, transform, and validate data to support AI/ML model training and deployment.
Desired Candidate Profile
- Proven 5+ years of hands-on AI/ML engineering experience, including direct model training, fine-tuning, and deployment.
- Bachelor s or master s degree in computer science, Data Science, or related field.
- Programming Languages: Python, Java, C++br>- ML Frameworks: TensorFlow, PyTorch, Scikit-learnbr>- Cloud Platforms: AWS SageMaker, Azure ML, Google AI Platformbr>- Big Data: Spark, Hadoop, Kafka
- MLOps: Kubeflow, MLflow, DVC
- Databases: MongoDB, PostgreSQL, Redisbr>- Version Control & CI/CD: Git, Jenkins, Docker/p>
- Strong expertise in Python programming and ML/LLM frameworks (Hugging Face, LangChain, Scikit-learn, PyTorch, TensorFlow).
- Proven ability to build and deploy inference endpoints and APIs for AI/ML workloads.
- Proven track record of deploying AI solutions in production environments.
- Practical understanding of LLM evaluation methods (prompt testing, bias/toxicity detection, response consistency).
- Strong problem-solving skills and ability to debug real-world AI/LLM issues in production.
- Outstanding problem solving and analytical skills
- Attention to detail
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Senior AI Engineer
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