AI/ML Solutions Architect

2 weeks ago

Bengaluru, Karnataka, India Coders Brain Technology Private Limited Full time

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:

  1. 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.
  2. Architect Scalable Solutions: Design and implement scalable, robust, and secure AI/ML architectures that integrate seamlessly with our existing infrastructure and data pipelines.
  3. Collaborate Across Teams: Work closely with data scientists, engineers, product managers, and stakeholders to define AI/ML requirements and translate them into technical specifications.
  4. Model Deployment and Monitoring: Develop strategies for model deployment, continuous integration, and monitoring in production environments to ensure models are performing optimally.
  5. 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.
  6. Mentorship and Leadership: Provide technical leadership and mentorship to junior data scientists and engineers, fostering a culture of innovation and continuous learning.
  7. 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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