Devsinc is looking for motivated AI/ML Associates to join our team and contribute to the development of innovative Artificial Intelligence and Machine Learning solutions. This role offers an opportunity to work on real-world projects, enhance technical expertise, and grow in a collaborative, technology-driven environment.
Requirements
Develop, train, test, and optimize machine learning models for real-world applications.
Assist in designing and implementing AI-powered solutions using machine learning and deep learning techniques.
Collect, clean, preprocess, and analyze structured and unstructured datasets.
Work with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Explore and implement Generative AI solutions using Large Language Models (LLMs), APIs, and prompt engineering.
Evaluate model performance using appropriate metrics and improve accuracy and efficiency.
Collaborate with software engineers and cross-functional teams to integrate AI/ML models into applications.
Maintain technical documentation and follow best practices for code quality, testing, and version control.
Stay updated with emerging AI/ML technologies, tools, and industry trends.
Qualification:
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
6 months to 1 year of practical experience in AI/ML development through professional work, internships, or relevant projects.
Strong programming fundamentals and a basic understanding of machine learning concepts.
A portfolio of relevant projects or practical implementations is a plus.
Required Skills:
Proficiency in Python programming.
Working knowledge of NumPy, Pandas, and Scikit-learn.
Understanding of supervised and unsupervised learning algorithms.
Basic knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch.
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
Basic understanding of REST APIs, Git, and model deployment.
Familiarity with Generative AI, LLMs, and prompt engineering is an advantage.
Strong analytical, problem-solving, and communication skills.
Skills Required
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
- 6 months to 1 year of practical experience in AI/ML development through professional work, internships, or relevant projects
- Strong programming fundamentals and basic understanding of machine learning concepts
- Proficiency in Python programming
- Working knowledge of NumPy, Pandas, and Scikit-learn
- Understanding of supervised and unsupervised learning algorithms
- Basic knowledge of deep learning concepts and TensorFlow or PyTorch
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Basic understanding of REST APIs, Git, and model deployment
- Strong analytical, problem-solving, and communication skills
- Portfolio of relevant projects or practical implementations
- Familiarity with Generative AI, LLMs, and prompt engineering
Devsinc Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Devsinc and has not been reviewed or approved by Devsinc.
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Healthcare Strength — OPD and IPD medical coverage, along with health insurance mentions, indicate a meaningful healthcare offering.
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Flexible Benefits — Work-from-home options, workation opportunities, and paid leave point to flexible arrangements for where and when work is done.
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Wellbeing & Lifestyle Benefits — Access to gyms and salons, plus various allowances and occasional trips or events, add lifestyle value beyond base pay.
Devsinc Insights
What We Do
We integrate global leaders in web development with passionate Asian talent to get a unique blend of Quality and Affordability. We are headquartered in California and work consistent eastern and pacific standard hours. We like ad hoc pairing as necessary, TDD, and working with other agencies to make things happen. We contribute to open source projects and genuinely enjoy coding. We are also committed to teaching, and spreading knowledge!
