- അനുഭവം
- ഏതെങ്കിലും
- ശമ്പളം
- —
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 8 മണിക്കൂർ മുമ്പ്
- പ്രവർത്തന രീതി
- വീട്ടിൽ നിന്ന് ജോലി ചെയ്യുക
- പുനരാരംഭിക്കുക
- അപേക്ഷിക്കാൻ നിർബന്ധം
ജോലി വിവരണം
Job Overview
We are looking for an AI Engineer to contribute to the development of next-generation artificial intelligence systems. The position is fully remote and contract-based. Your primary responsibility will be to enhance how AI models learn and perform by providing high-quality, real-world data inputs. Prior AI experience is not a prerequisite; what matters most is your domain knowledge.
Primary Duties
- Develop and fine-tune reliable machine learning models suitable for production use.
- Create and automate comprehensive ML pipelines using CI/CD best practices.
- Utilize AWS cloud services to build scalable AI infrastructure and facilitate model deployment.
- Manage containerized applications through Kubernetes to ensure they remain highly available and scalable.
- Work closely with data scientists, engineers, and researchers to convert complex business requirements into practical machine learning solutions.
- Preprocess and analyze real-world data challenges to frame them effectively for machine learning applications.
- Maintain clear and detailed documentation of methodologies, outcomes, and technical decisions.
Required Qualifications
- Demonstrated skill in machine learning algorithms, model construction, and deployment strategies.
- Proficient programming capabilities in Python or Java, especially with experience in extensive software engineering projects.
- Experienced in implementing CI/CD pipelines and automation processes.
- Hands-on use of AWS cloud platforms for machine learning and data processing tasks.
- Strong knowledge of Kubernetes for orchestration of containerized ML workloads.
- Excellent communication skills for writing technical documents and collaborating within teams.
- Ability to analyze, plan, and solve intricate real-world data problems effectively.
Preferred Attributes
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Background working in fast-paced startup or high-growth settings.
- Contributions to open-source AI projects or a track record of academic publications in AI.