About the Role
As a Generative AI/ML Engineer, you will be responsible for building analytical approaches based on business requirements, then developing, training, and deploying machine learning models and AI algorithms. This role requires strong programming skills and experience with various AI/ML frameworks and cloud infrastructure.
Responsibilities
- Build analytical approaches based on business requirements.
- Develop, train, and deploy machine learning models and AI algorithms.
- Develop and deploy AI/ML and deep learning solutions.
- Develop API using Flask/Django.
Requirements
- Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Experience on Agentic AI/ Frameworks.
- Strong programming skills in languages such as Python, SQL.
- Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML.
- Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.
- Knowledge of math, probability, and statistics.
- Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.
- Exposure in developing API using Flask/Django.
- Good experience in cloud infrastructure such as AWS, Azure or GCP.
- Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model).
- Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline.
- Good to have experience in Docker, Kubernetes.
- Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React.
- Experience in Flask/Django is a bonus.