AI ML Engineer

Senior AI/ML Engineer

Job Summary:

We are looking for a highly skilled Senior AI/ML Engineer to join our innovative team. This role involves designing, developing, and deploying cutting-edge AI-powered solutions, with a strong emphasis on generative AI technologies and end-to-end AI product delivery. You will play a pivotal role in driving our AI initiatives forward and enhancing our organizational capabilities through machine learning and deep learning applications.

Key Responsibilities:

• Design and implement scalable AI/ML models focused on generative AI applications.
• Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications.
• Develop and optimize NLP algorithms and deep learning architectures for various AI projects.
• Deploy and maintain AI-driven solutions in cloud environments, ensuring performance and reliability.
• Utilize MLOps best practices to establish CI/CD pipelines for machine learning models.
• Conduct experiments, analyze results, and iterate on model performance to achieve desired outcomes.
• Stay current with industry trends and advancements in AI/ML technologies to inform the team's strategy.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of hands-on experience in AI/ML engineering or a related role.
• Strong understanding of generative AI, deep learning frameworks, and large language models (LLMs).
• Proficiency with programming languages such as Python, Java, or R.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI deployments.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Excellent problem-solving skills and ability to work effectively in a team environment.

Preferred Qualifications:

• Experience in building AI applications that utilize advanced natural language processing techniques.
• Knowledge of data engineering processes and data pipeline development.
• Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Previous experience in a lead role on AI/ML projects is a plus.
• Strong communication skills with an ability to convey complex technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible work arrangements.
• Professional development opportunities and continuous learning programs.
• Retirement savings plan with company matching.
• Access to the latest tools and technologies for AI/ML development.
• A collaborative and inclusive workplace culture that values innovation.