Job Description

Position Summary:

As an AI/ML Engineer at SciTech Patent Art, you will play a key role in developing and implementing advanced machine learning algorithms and models. You will work closely with cross-functional teams to design, build, and deploy AI-driven solutions that address real-world challenges. This role presents an exciting opportunity for a skilled professional to contribute to the forefront of AI technology and make a significant impact on our projects.

Responsibilities:

Collaborate with data scientists and software engineers to design and implement machine learning models.

Develop, train, and optimize algorithms for various applications, such as natural language processing, computer vision, and predictive analytics.

Work on data preprocessing, feature engineering, and data augmentation to enhance model performance.

Evaluate and implement state-of-the-art machine learning frameworks and tools.

Participate in the entire software development life cycle, from concept and design to testing and deployment.

Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.

Requirements:

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.

Proven experience as an AI/ML Engineer with 2 to 3 years of hands-on work in machine learning projects. Especially in NLP related projects

He or She should have hands on experience in handling large text and well versed with latest LLM and NLP algorithms is must.

Strong programming skills in languages such as Python, and proficiency in popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch).

Solid understanding of statistical concepts and machine learning algorithms.

Experience with data preprocessing, feature engineering, and model evaluation techniques.

Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience deploying models in production environments.

Excellent problem-solving skills and the ability to work independently as well as part of a collaborative team.

* Strong communication skills to convey complex technical concepts to both technical and non-technical stakeholders.