Machine Learning Scientist
Job Title: Machine Learning ScientistLocation: VA TX PA
Visa: H1B EAD
Exp: 3-5 yrs
Mode: Contract
Job Details:
We are seeking a talented Machine Learning Scientist to join our team and lead innovative projects in artificial intelligence and machine learning. This role will involve developing cutting-edge algorithms, conducting research, and implementing solutions to solve complex business problems.
Job Responsibilities:
Algorithm Development and Research:
- Research, design, and develop machine learning algorithms to solve business challenges.
- Implement state-of-the-art models for tasks such as classification, regression, clustering, and recommendation systems.
- Conduct experiments and evaluate model performance using statistical methods and data analysis techniques.
Data Preparation and Feature Engineering:
- Preprocess and analyze large-scale datasets to extract meaningful features.
- Apply data augmentation techniques and domain-specific knowledge to enhance model accuracy.
- Collaborate with data engineers to build scalable data pipelines for training and inference.
Model Training and Optimization:
- Train, validate, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Optimize algorithms for performance, scalability, and computational efficiency.
- Implement techniques for hyperparameter tuning and regularization to improve model generalization.
Deployment and Integration:
- Collaborate with software engineers to deploy machine learning models into production environments.
- Ensure robustness and reliability of deployed models through monitoring and maintenance.
- Integrate machine learning solutions with existing systems and applications to automate processes and enhance functionality.
Research and Innovation:
- Stay updated with the latest research in machine learning and artificial intelligence.
- Propose and explore new ideas, methodologies, and technologies to advance our machine learning capabilities.
- Publish research findings in conferences and journals to contribute to the field of AI and ML.
Collaboration and Leadership:
- Work closely with cross-functional teams including data scientists, engineers, and product managers.
- Provide technical guidance and mentorship to junior team members.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Skills Required:
- Solid understanding of machine learning concepts, algorithms, and techniques.
- Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with deep learning frameworks and neural network architectures.
- Strong knowledge of statistical analysis, data mining, and data visualization techniques.
- Ability to work with large-scale datasets and implement data preprocessing and feature engineering pipelines.
- Experience in model evaluation, validation, and performance optimization.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
- Excellent problem-solving skills and the ability to think critically and analytically.
- Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders.
Education and Experience:
- Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 3-5 years of experience in machine learning research and development.
- Proven track record of delivering innovative solutions and implementing machine learning models in real-world applications.
- Experience in leading machine learning projects or teams is preferred.
Additional Information:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth and career advancement in a dynamic and collaborative environment.
- Flexible work arrangements and a supportive culture that values creativity and innovation.
Connect https://www.linkedin.com/in/dreakansh-extrahiring
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