Sr. Machine Learning Engineer

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Job Overview

Looking for a highly skilled Senior Machine Learning Engineer to join our team. As a Senior ML Engineer, you will play a key role in developing and deploying cutting-edge machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to design, implement, and optimize ML solutions that drive business impact.

Responsibilities

Research, design, and implement machine learning algorithms and models to solve business challenges

Collaborate with data scientists and domain experts to gather requirements, analyze data, and validate hypotheses

Develop scalable and efficient machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation

Design and implement experiments to evaluate model performance, interpret results, and iterate on models to improve accuracy and efficiency

Deploy machine learning models into production systems and monitor their performance in real-world applications

Work closely with software engineers to integrate machine learning models into existing systems and develop new features

Stay up-to-date with the latest advancements in machine learning research and apply them to solve business problems effectively

Mentor junior team members and provide technical guidance on best practices in machine learning development and deployment

Mandatory Requirements

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (MS/PhD) preferred

4-7 years of experience in machine learning, data science, or a related field, with a proven track record of developing and deploying machine learning models in production environments

Strong programming skills in Python and proficiency in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn

Experience with big data technologies such as Apache Spark for data processing and distributed computing

Solid understanding of machine learning algorithms, statistical methods, and deep learning techniques

Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with deploying ML models using containerization technologies (Docker, Kubernetes)

Excellent problem-solving skills and ability to work independently as well as part of a team in a fast-paced environment

Strong communication skills with the ability to explain complex concepts and findings to both technical and non-technical stakeholders

Preferred Requirements

Experience with natural language processing (NLP) or computer vision (CV) applications

Knowledge of reinforcement learning techniques and their applications

Familiarity with version control systems (e.g., Git) and agile software development methodologies

Benefits

Competitive salary and benefits package

Opportunities for professional development and career advancement

Exposure to cutting-edge technologies and industry best practices

Dynamic and collaborative work environment

Potential for remote work options and flexible work hours

Job Location

Remote/Hybrid/In-Office

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Originally posted on Himalayas