Job Title: AI/ML Solution Architect
Location: Remote
Job Type: Long term contract
Job Description:
Position Overview: As an AI/ML Solution Architect, you will be responsible for designing, developing, and deploying sophisticated AI and machine learning solutions. You will work closely with cross-functional teams, including data scientists, engineers, and product managers, to create scalable and efficient AI systems that drive business growth and innovation.
Key Responsibilities:
- Solution Design: Architect AI and ML solutions tailored to specific business needs, ensuring they are scalable, reliable, and cost-effective.
- Requirement Analysis: Collaborate with stakeholders to gather and define technical requirements, translating business needs into AI/ML models and solutions.
- Model Development: Oversee the development and deployment of machine learning models, ensuring they are accurate, efficient, and meet performance benchmarks.
- Data Strategy: Develop and implement data strategies, including data collection, preprocessing, and feature engineering, to support model training and validation.
- Technology Evaluation: Evaluate and recommend appropriate tools, frameworks, and technologies for AI/ML implementation.
- Integration: Design and implement integration strategies for embedding AI/ML solutions into existing systems and workflows.
- Performance Monitoring: Monitor and evaluate the performance of AI/ML models and systems, making adjustments as necessary to ensure optimal performance.
- Collaboration: Work closely with data scientists, engineers, and other technical teams to ensure seamless execution of AI/ML projects.
- Documentation: Maintain comprehensive documentation for AI/ML solutions, including design specifications, deployment procedures, and operational guidelines.
- Research & Innovation: Stay up-to-date with the latest advancements in AI/ML technologies and methodologies, and propose innovative solutions to address emerging business challenges.
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
- Experience: Proven experience as an AI/ML Solution Architect or in a similar role, with a strong track record of successfully designing and deploying AI/ML solutions.
- Technical Skills:
- Proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong programming skills in languages such as Python, R, Java, or Scala.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of data engineering and big data technologies (e.g., Hadoop, Spark) is a plus.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
- Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Collaboration: Proven ability to work effectively in a team-oriented, collaborative environment.
Preferred Qualifications:
- Experience with deploying AI/ML solutions in production environments.
- Familiarity with MLOps practices and tools for model monitoring and management.
- Understanding of industry-specific challenges and applications of AI/ML.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
- Access to cutting-edge technologies and tools.