Machine Learning Engineer

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Cyber Sapient

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python Azure PyTorch SpaCy Google Cloud AWS TensorFlow

Job Description

About Us:

Join our innovative team at CyberSapient, where we leverage cutting-edge technology to solve complex problems. We are looking for a passionate Machine Learning Engineer to contribute to our projects in computer vision, OCR, and NLP.

Key Responsibilities:

- Develop and implement machine learning models with a focus on computer vision, OCR, and natural language processing (NLP).

- Utilize programming languages such as Python and machine learning frameworks like TensorFlow and PyTorch.

- Design and optimize deep learning architectures, including CNNs, RNNs, and transformers.

- Work with cloud platforms (AWS, Azure, Google Cloud) and distributed computing frameworks to scale our solutions.

- Collaborate with cross-functional teams to integrate machine learning solutions into our products.

- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Primary Skills:

- Proven track record of 2+ years in machine learning, particularly in computer vision, OCR, and NLP.

- Strong proficiency in Pythonand experience with frameworks such as TensorFlow, PyTorch.

- In-depth knowledge of deep learning techniques and architectures.

- Experience with cloud platforms and distributed computing frameworks.

- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

- Strong communication skills.

- Familiarity with OCR libraries and tools (e.g., Tesseract, OpenCV).

- Knowledge of NLP techniques and libraries (e.g., NLTK, spaCy, Transformers).

- Publications in top-tier conferences or journals in the fields of machine learning, computer vision, or NLP are a plus.


- Bachelorโ€™s/Masterโ€™s degree in Computer Science, Engineering, or a related field.

- Relevant work experience in machine learning and AI.

What We Offer:

- Competitive salary and benefits.

- A dynamic and supportive work environment.

- Opportunities for professional growth and development.

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