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Urgent! AIML Developer Job Opening In gurugram – Now Hiring Binary Semantics Ltd.

AIML Developer



Job description

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 applications.


Skills 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 databases


Good 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.

• Any relevant certifications in machine learning or artificial intelligence.

• Understanding of the principles of Generative AI or LLM models


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