The Role
The Senior AIML Engineer will develop and deploy machine learning models, implement AI/ML solutions, analyze and preprocess data, optimize algorithms, lead AI/ML projects, and collaborate with cross-functional teams. The role requires keeping up-to-date with advancements in AI/ML, ensuring data integrity, and facilitating communication with stakeholders.
Summary Generated by Built In
Devsinc is seeking a Senior AIML Engineer.
- Develop, deploy, and design machine learning models to solve complex business problems.
- Implement and maintain AI/ML solutions in production environments.
- Analyze large datasets, collect, and preprocess them to extract meaningful insights.
- Ensure data integrity and quality through robust data validation and cleaning processes.
- Research and apply advanced algorithms in machine learning, deep learning, and statistical modeling.
- Optimize algorithms for performance, scalability, and accuracy.
- Collaborate closely with cross-functional teams, such as data scientists, software engineers, and product managers, to understand requirements and deliver solutions.
- Effectively communicate complex technical concepts to non-technical stakeholders.
- Keep up-to-date with the latest advancements in AI/ML and data science to incorporate new techniques and methodologies.
- Participate in code reviews, knowledge sharing sessions, and contribute to the team's growth and improvement.
- Lead and manage AI/ML projects from inception to deployment.
- Track project progress, manage timelines, and deliver high-quality results within deadlines.
- Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and variational autoencoders.
- Proficiency in advanced machine learning frameworks like TensorFlow, PyTorch, Theano, Caffe, SciKit-Learn, and Keras.
- Experience with NLP and Computer Vision tools and libraries.
- Knowledge of reinforcement learning techniques and frameworks.
- Proficient in using databases and data processing tools like SQL, NoSQL, or similar.
- Experience in developing APIs using web frameworks.
- Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.
Familiarity with data visualization tools. - Familiarity with tools such as Jupyter, Git, Docker, and cloud platforms like AWS, GCP, or Azure.
- Experience with big data technologies such as Hadoop, Spark, or similar is a plus
- Experience with LLMs is a plus.
- Bachelor’s degree in Computer Science, Data Science or a related field; MS is preferred.
- Minimum 4 years of experience in AI/ML engineering or data science roles.
- Proven track record of deploying machine learning models in production environments.
- Solid understanding of mathematical concepts and statistical analysis.
Top Skills
Python
The Company
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!
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