Binary Semantics

1 day ago


Gurugram, India Binary Semantics Ltd. Full time

Job Description :

As a Machine Learning Engineer specializing in cognitive services, you will play a critical role in developing, optimizing, and deploying machine learning models that enhance the intelligence of our software products. You will work with cross-functional teams to create intelligent applications and services that understand and respond to natural language, images, and more.


Key Responsibilities :


- Design, develop, and implement machine learning models and algorithms for cognitive services.

- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver innovative solutions.

- Optimize machine learning models for scalability, efficiency, and performance.

- Participate in data collection, labeling, and preprocessing efforts to support model training.

- Stay up-to-date with the latest advancements in machine learning and cognitive services.

- Conduct research to identify the best AI and ML practices for our Required :


- Bachelor's or Master's degree in computer science, machine learning, or related field.

- 2+ years of practical experience in machine learning, deep learning, and natural language processing.

- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.

- Strong programming skills in languages such as Python.

- Experience in deploying machine learning models into production environments.

- Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker).

- Excellent problem-solving and analytical skills.

- Strong communication skills and the ability to collaborate effectively in a team.

- Understanding of vector to Have :


- Experience with computer vision and image recognition.

- Knowledge of speech recognition and audio processing.

- Familiarity with chatbots and virtual assistants.

- Understanding of reinforcement learning.

- Open-source contributions or personal machine learning projects.


(ref:hirist.tech)
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