entry-level Gen AI / Machine Learning Engineer

• Develop, train, test, and optimize machine learning models for business applications.
• Build and integrate Generative AI and LLM-based applications.
• Work with Python, SQL, APIs, and machine learning frameworks.
• Develop AI applications using technologies such as LangChain, RAG, embeddings, and vector databases.
• Perform data preprocessing, feature engineering, model evaluation, and analysis.
• Integrate third-party and internal APIs into AI/ML applications.
• Develop prompt engineering strategies and evaluate LLM outputs.
• Assist with deploying AI/ML models and applications to cloud environments.
• Collaborate with software engineers, data engineers, and business teams.
• Troubleshoot model, data, API, and application issues.
• Maintain technical documentation and follow software development best practices.
• Participate in code reviews, testing, debugging, and continuous improvement.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming knowledge in Python.
• Understanding of Machine Learning and Deep Learning concepts.
• Familiarity with Generative AI, Large Language Models (LLMs), and Prompt Engineering.
• Knowledge of SQL and data processing.
• Familiarity with NLP and transformer-based models.
• Understanding of REST APIs and API integration.
• Familiarity with Git/GitHub and software development practices.
• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience with LangChain, LangGraph, Hugging Face, OpenAI APIs, or similar AI frameworks.
• Knowledge of RAG (Retrieval-Augmented Generation).
• Experience with vector databases such as Pinecone, FAISS, Chroma, or similar technologies.
• Familiarity with PyTorch or TensorFlow.
• Knowledge of Docker and CI/CD.
• Exposure to AWS SageMaker, Azure ML, or Google Vertex AI.
• Understanding of MLOps and model deployment practices.

Experience

• Entry-level / 0-2 years of experience in AI/ML, software engineering, data science, or a related field.
• Academic projects, internships, bootcamp projects, or personal AI/ML projects are welcome., * Full-time position.
• Collaborative and technology-focused environment.
• Opportunity to work on Generative AI, Machine Learning, LLM, and cloud-based projects.