Principal Engineer, Machine Learning

REQUIREMENTS:

• Total experience: 13 Years
• Strong working experience in machine learning with a proven track record of delivering impactful solutions in NLP machine vision and AI. 
• Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure. 
• Proficiency in programming languages such as Python or R and experience with data manipulation libraries (e.g. Pandas NumPy).
• Strong understanding of statistical concepts and techniques and experience applying them to real-world problems.
• Strong programming skills in Python and proficiency in deep learning frameworks such as TensorFlow PyTorch or JAX as well as machine learning libraries such as scikit-learn.
• Should have experience in SQL.
• Should have understanding of MLOps and at least one deployment using some of the following technologies: MLflow Kubeflow Docker Kubernetes model deployment pipelines.
• Should have designed developed and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration.
• Strong understanding of LLMs and foundation models with an expertise in designing and building prompts for prompt development and templates. 
• Practical experience with Generative AI frameworks such as GANs VAEs prompt engineering and retrieval-augmented generation (RAG) and the ability to apply them to real-world problems.
• Excellent problem-solving skills with a creative and analytical mindset.
• Strong communication and teamwork skills with the ability to work effectively in a team environment and interact with stakeholders at all levels.
• Experience with AI ethics and responsible AI practices

RESPONSIBILITIES:

• Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture framework and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility scalability security design patterns user experience NFRs etc. and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies patterns and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review through exhaustive systematic analysis of the root cause and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time