Company Overview:

We are a candidate-centric hiring platform for top-tier college professionals. Our mission is to help professionals find the right job by matching them with opportunities that align with their preferences. The company is founded by IIT Kanpur alumni, with more than 10 years of entrepreneurial experience and a successful exit from their previous venture.

We are seeking a talented and driven Machine Learning Engineer to join our early-stage startup. As a Machine Learning Engineer, you will play a crucial role in developing and optimizing our AI-powered solutions, with a particular focus on knowledge graphs and language models. If you have a solid background in machine learning, expertise in knowledge graphs, experience with language models like LLM's (ChatGPT) APIs, and familiarity with Neo4J, we'd love to hear from you.

Responsibilities:

Develop and implement machine learning algorithms and models for knowledge graphs and language processing tasks.

Design and build scalable data pipelines to support knowledge graph creation and maintenance.

Conduct research and stay up-to-date with the latest advancements in knowledge graph technologies and language models.

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and evaluation.

Implement and maintain efficient data storage and retrieval mechanisms using tools like Neo4J.

Collaborate with software engineers to integrate machine learning models into production systems.

Requirements:

Bachelor's or Master's degree in engineering from Tier1 colleges

Minimum of 2 years of professional experience as a Machine Learning Engineer or a related role.

Strong knowledge and hands-on experience with knowledge graphs, including graph database tools like Neo4J.

Proficiency in developing and deploying machine learning models, particularly for natural language processing tasks.

Experience working with language models like LLM's (ChatGPT) APIs and optimizing their usage for specific applications.

Strong programming skills in Python and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).

Solid understanding of machine learning algorithms, optimization techniques, and model evaluation metrics.

Experience with data preprocessing, feature engineering, and working with large-scale datasets.

Strong problem-solving skills and ability to work independently and as part of a team in a fast-paced startup environment.