Location: New York, NY (Remote)
Company: MHTECHIN
️ Experience Level: 2 Years.
Job Type: Full-time
About Us:
At MHTECHIN, we leverage cutting-edge machine learning and AI to solve real-world problems and deliver innovative solutions. We are looking for passionate engineers who are eager to design, build, and deploy ML models that make a tangible impact. Join our team in New York and work in a collaborative, fast-paced environment where your ideas can shape the future.
Role Overview:
As a Machine Learning Engineer, you will develop and implement machine learning models and algorithms, analyze complex datasets, and collaborate with cross-functional teams to integrate AI solutions into products. This role is perfect for individuals who are curious, analytical, and enthusiastic about the latest advancements in AI and ML.
Key Responsibilities:
- Design, develop, and deploy machine learning models for various applications.
- Work with structured and unstructured data to create predictive models and analytics solutions.
- Collaborate with data engineers, software developers, and business teams to integrate ML solutions into production systems.
- Optimize model performance, scalability, and reliability.
- Conduct research on new algorithms, techniques, and ML frameworks.
- Maintain documentation of models, experiments, and workflows for knowledge sharing.
- Participate in code reviews, model evaluations, and performance tuning.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
- Knowledge of machine learning algorithms, neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience in Python, R, or Java for ML development.
- Understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
- Strong problem-solving, analytical, and communication skills.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
Why Join Us:
- Work on innovative projects with real-world impact.
- Collaborate with experienced ML engineers and researchers.
- Opportunities for career growth, skill development, and certifications.
- Exposure to state-of-the-art tools, frameworks, and cloud platforms.
- Dynamic, inclusive, and growth-oriented work culture in New York City.
How to Apply:
Submit your application via careers portal.
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