Job Description
Job Title: AI/ML Engineer
Company Overview
A technology-driven firm specializing in AI and machine learning solutions to solve real-world business challenges.
Job Description
A company is looking for an AI/ML Engineer to design and implement scalable machine learning models, develop efficient data pipelines, and drive AI innovation. The role involves applying Deep Learning and Generative AI to business use cases, optimizing large-scale datasets, and collaborating with cross-functional teams to deploy AI solutions into production.
Responsibilities
- Develop and implement AI/ML models to address complex business challenges.
- Build scalable data pipelines to support model training and deployment using DevOps & MLOps.
- Customize and apply Deep Learning and Generative AI models based on business needs, infrastructure, and data availability.
- Conduct research and development on high-performance AI algorithms and computational models.
- Optimize data preprocessing, storage, and retrieval mechanisms for model training.
- Validate AI model approaches for solving business problems.
- Collaborate with business and technical teams, including engineers, architects, and UI designers, to integrate AI solutions into production.
- Leverage cloud AI services where applicable to enhance AI/ML capabilities.
- Stay updated on AI advancements and emerging technologies.
- Provide mentorship to junior team members in AI/ML best practices.
- Work with clients to understand business needs and offer AI/ML strategy recommendations.
- Support business development by identifying AI/ML opportunities and contributing to proposals.
Requirements
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field (MBA is a plus).
- Strong knowledge of AI, machine learning principles, and data science methodologies.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, GCP).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Prior experience in a consulting role, working with clients on AI/ML solutions.
Preferred Qualifications
- Relevant certifications in AI/ML, cloud computing, or project management (e.g., AWS Machine Learning Specialty, Google Cloud Data Engineer, PMP).
- Candidates with exceptional expertise will be considered regardless of years of experience.
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