Artificial Intelligence Engineer

Experience: 3+ years

Expected Notice Period: 10 to15 days

Shift: PST Time zone (8 PM to 5AM IST)

Primary Skills:

LLM, Multimodal Models, Deep Learning, Python, Model evaluation, Pytorch or Tensorflow, CI/CD, Any Cloud Platforms(AWS or GCP or Azure) Preferably AWS ,Django, Time Series Analysis, Docker

Added Advantage:

Chemical Engineering(Not Mandatory)

Roles and Responsibilities :

What You Will Do:

Work with team leaders to create, implement, and launch machine learning models and systems.

Be involved in every step of the machine learning process, from gathering and cleaning data to evaluating and launching models.

Collaborate with different teams to understand what the business needs and create machine learning solutions to meet these needs.

Help enhance current machine learning processes and infrastructure.

Keep up with the latest machine learning trends and technologies and share this knowledge with your team.

Who You Are:

You're a machine learning engineer with experience in creating and launching machine learning models.

You understand machine learning concepts and algorithms well, and have practical experience with at least one framework like TensorFlow or PyTorch.

You're good at solving problems and pay attention to details.

You're keen to learn and thrive in a team setting.

You're a good communicator and can explain technical ideas to both technical and non-technical people.

What We Expect:

• Bachelor's degree in computer science, Engineering, Mathematics, or a related field.
• You've worked as a machine learning engineer or in a similar role for at least 3 years.
• You're skilled in Python and have used machine learning libraries like PyTorch, TensorFlow, Jax, spaCy, NLTK, and Hugging Face Transformers.
• You're familiar with different machine learning methods and techniques, including deep learning, reinforcement learning, and natural language processing.
• You're familiar with Time Series Analysis and forecasting using multiple Time Series Algorithms.
• You have experience with preparing data, creating features, and evaluating models.
• You know the best practices for software development, how to use version control systems, and how to work with others on coding projects. You're also familiar with CI/CD and automated testing.
• Experience deploying machine learning models in production environments using cloud platforms such as AWS using Docker and Kubernetes.
• You're a great communicator and team player, and you work well with others.