Deep Learning Engineer

1 week ago

uttar pradesh, India Redrob Full time
"Unlock your dream career with us. Connect with renowned employers, enjoy top-notch facilities, and thrive in a vibrant community.”
Employer: Amuse8
Position: Deep Learning Engineer
Years of Experience: 1-3 Years
Community Location: Noida, Bangalore and Pune
Employment Type: Contractual- 2 Months
CONNECT
Company Overview ( Rice is not just a company; it's a dynamic community, the next evolutionary step in the world of professional development. Spiritually, we're a hub where individuals and companies converge to unleash their full potential. Organizationally, we are a conglomerate composed of various entities, each contributing to the larger narrative of global excellence.
Redrob by McKinley Rice: The Next Frontier in Professional Development
Propelled by a substantial 4-million-dollar pre-seed investment from top venture capitalists in Korea, Redrob emerges as McKinley Rice's latest venture, marking a new chapter in its expansion. Proudly introducing Redrob—a groundbreaking AI platform—we're set to redefine professional development.
Going beyond traditional academic measures, Redrob embodies our commitment to nurturing talents and bridging the gap between industry demands and professionals' aspirations. Fueled by our funded growth, we're poised to revolutionize recruitment and assessments, ensuring candidates are not just academically proficient but also industry-ready.
Redrob is the cornerstone of our vision to catalyze the formation of A-grade teams for organizations. Through seamless recruitment processes, we aim to be the indispensable right hand, facilitating the creation of high-caliber teams that surpass industry standards.
How to become a part of Amuse8 and enjoy the benefits:
❖ Step 1: Fill in the application form and register via RedRob.
❖ Step 2: Clear the interview process.
❖ Step 3: Be a part of the team at Amuse8
About the role : The Deep Learning Engineer will design and optimize machine learning models, with a focus on deep learning and large language models (LLMs) like GPT and BERT. Responsibilities include developing custom algorithms, enhancing model performance, and building efficient data pipelines for large-scale training. Ideal candidates bring strong expertise in deep learning frameworks, Python, and natural language processing (NLP).
EXPERIENCE
Duties you'll be entrusted with:
Algorithm Design & Development
Research, design, and develop innovative algorithms to address complex challenges.
Optimize and refine machine learning models with a specific focus on deep learning applications.
Large Language Model (LLM) Fine-Tuning
Fine-tune and customize large language models (LLMs) like GPT or BERT to suit unique use cases and business requirements.
Implement advanced techniques to enhance model performance and accuracy.
Data Integration & Training
Oversee data collection, preprocessing, and integration to improve LLM performance.
Design efficient pipelines for large-scale training, using both structured and unstructured data.
Model Evaluation & Optimization
Analyze model performance through A/B testing and iterative improvement.
Apply transfer learning, pruning, and quantization to increase model efficiency.
Expectations from you:
Required Skills:
Proven experience in deep learning model development and LLM fine-tuning.
Strong understanding of deep learning frameworks (e.g., PyTorch, TensorFlow).
Proficiency in Python and familiarity with relevant ML libraries.
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Solid understanding of natural language processing (NLP) and AI-driven solutions.
Strong problem-solving skills, with the ability to design and implement novel algorithms.

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