AI/ML Engineer

Key Responsibilities:

• Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end AI/ML solutions.
• Design, implement, and maintain advanced machine learning algorithms (supervised, unsupervised, reinforcement learning, etc.) to solve complex problems across various domains.
• Utilize deep learning frameworks (such as TensorFlow, PyTorch, Keras, etc.) and apply them to real-world applications.
• Work with large-scale datasets, preprocess and clean data, and ensure efficient data pipelines to support machine learning models.
• Continuously evaluate and optimize the performance of deployed models using A/B testing, cross-validation, and other methods.
• Contribute to the development of AI/ML best practices, standards, and methodologies.
• Provide technical leadership and mentorship to junior team members.
• Stay current with the latest advancements in AI/ML technologies and research to incorporate into solutions and drive innovation.
• Communicate technical findings, strategies, and progress to stakeholders, including non-technical teams.

Required Qualifications:

• 10+ years of professional experience in AI/ML software development, with at least 5 years in a leadership or senior technical role.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's or PhD preferred).
• Proven experience with machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
• Expertise in deep learning techniques and frameworks (CNNs, RNNs, Transformers, etc.).
• Strong programming skills in Python (preferred), Java, C++, or similar languages.
• Extensive experience in developing, training, and fine-tuning large-scale machine-learning models.
• Proficiency in cloud computing platforms such as AWS, GCP, or Azure, especially related to AI/ML services.
• Hands-on experience with big data technologies (e.g., Hadoop, Spark, SQL, NoSQL).
• In-depth knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Ability to work in a collaborative and agile environment, contributing to all stages of the development lifecycle.

Preferred Qualifications:

• Familiarity with natural language processing (NLP), computer vision, and reinforcement learning.
• Experience with AI/ML deployment frameworks such as TensorFlow Serving, TorchServe, or Kubeflow.
• Familiarity with DevOps practices and CI/CD pipelines.
• Previous experience with AI/ML-driven products in production at scale.
• Strong understanding of statistics, mathematics, and optimization techniques.

Excellent communication and problem-solving skills