Artificial Intelligence/Machine Learning Architect
3 weeks ago
Job Title : AI/ML Architect
Location : Bangalore
Job Type : Full-Time
Job Overview :
The AI/ML Architect will be responsible for designing, developing, and deploying machine learning models and AI solutions across our products and services. The ideal candidate will have a deep understanding of AI/ML technologies, a strong software engineering background, and experience in developing scalable systems.
Key Responsibilities :
- Design and Develop AI/ML Models : Lead the development of machine learning models, including supervised and unsupervised learning, deep learning, and natural language processing models.
- Architect Scalable Solutions : Design and implement scalable, robust, and secure AI/ML architectures that integrate seamlessly with our existing infrastructure and data pipelines.
- Collaborate Across Teams : Work closely with data scientists, engineers, product managers, and stakeholders to define AI/ML requirements and translate them into technical specifications.
- Model Deployment and Monitoring : Develop strategies for model deployment, continuous integration, and monitoring in production environments to ensure models are performing optimally.
- Stay Current with Trends : Keep up-to-date with the latest AI/ML research, tools, frameworks, and trends, and apply this knowledge to enhance our AI capabilities.
- Mentorship and Leadership : Provide technical leadership and mentorship to junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Ensure Compliance and Ethics : Ensure AI/ML solutions comply with regulatory standards, ethical guidelines, and best practices.
Required Qualifications :
- Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus.
- Experience : Minimum of 5 years of experience in AI/ML development, with at least 2 years in an architect or leadership role.
Technical Skills :
- Strong proficiency in Python, R, or Java.
- Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, etc.
- Deep understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Familiarity with big data technologies such as Hadoop, Spark, or similar.
Soft Skills :
- Strong problem-solving skills and attention to detail.
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Proven ability to work in a fast-paced, agile environment.
Preferred Qualifications :
- Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Experience in data governance and data security best practices.
- Background in a specific domain such as finance, healthcare, or IoT.
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