Jr - Mid Level Machine Learning Engineer

Adidev Technologies - Edison, NJ

Full-time - Entry Level

Edison, NJ

Truck Transportation

About the position

Adidev Technologies Inc. is seeking a skilled Machine Learning Engineer to lead the deployment of advanced machine learning models, particularly focusing on Generative AI. This role involves crafting AI-driven solutions that transform innovative ideas into valuable features and services, thereby enhancing the company's market leadership and technological edge for its premier clients.

Responsibilities

• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

Requirements

• Degree in Computer Science, Engineering, Statistics, or a related technical field.
• Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
• Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
• Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
• Strong foundational understanding of algorithmic complexity and data structure optimization.
• Excellent problem-solving, collaboration, and communication abilities.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong background in cloud computing and big data platforms (AWS, Azure, Google Cloud Platform), with hands-on experience in cloud-based ML services and serverless architectures.
• Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

Nice-to-haves

• Experience in ethical AI practices and data privacy standards.
• Knowledge of the latest research in Generative AI and its applications.

Benefits

• Competitive salary range based on experience and market value.
• Paid relocation assistance.
• Remote support for employees.
• Regular salary reviews.