Associate Software Engineer - AI/ML

Devsinc is seeking motivated AI/ML Associates to join our dynamic team and contribute to the creation of cutting-edge Artificial Intelligence and Machine Learning solutions. This role provides an excellent opportunity to work on impactful, real-world projects while enhancing your technical skills in a collaborative and technology-focused environment. Candidates will engage with diverse datasets and advanced AI techniques, gaining valuable experience that supports professional growth in the AI/ML domain.

Key Responsibilities
- Develop, train, test, and optimize machine learning models tailored for practical applications.
- Assist in designing and implementing AI-powered solutions using machine learning and deep learning methodologies.
- Collect, clean, preprocess, and analyze both structured and unstructured datasets to ensure data quality and relevance.
- Utilize libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch to build and refine models.
- Explore and implement Generative AI solutions leveraging Large Language Models (LLMs), APIs, and prompt engineering techniques.
- Evaluate model performance using appropriate metrics and continuously improve accuracy and efficiency.
- Collaborate closely with software engineers and cross-functional teams to integrate AI/ML models into broader applications.
- Maintain comprehensive technical documentation and adhere to best practices for code quality, testing, and version control.
- Stay informed about emerging AI/ML technologies, tools, and industry trends to ensure innovative solutions.

Required Qualifications
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- Between 6 months to 1 year of practical experience in AI/ML development through professional roles, internships, or relevant projects.
- Strong programming fundamentals with proficiency in Python.
- Working knowledge of essential libraries including NumPy, Pandas, and Scikit-learn.
- Understanding of supervised and unsupervised learning algorithms.
- Basic familiarity with deep learning concepts and frameworks such as TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Basic understanding of REST APIs, Git version control, and model deployment processes.
- Strong analytical thinking, problem-solving abilities, and effective communication skills.

Preferred Qualifications and Benefits
- A portfolio showcasing relevant AI/ML projects or practical implementations is highly advantageous.
- Familiarity with Generative AI, Large Language Models (LLMs), and prompt engineering will be considered a plus.

This position offers the chance to develop your expertise in a fast-evolving field while contributing to innovative AI solutions that have real-world impact. Candidates who are eager to learn, collaborate, and grow within a technology-driven company will find this role rewarding.