Principal Engineer, Machine Learning

REQUIREMENTS:

• Total experience: 15 Years
• Strong working experience in machine learning with a proven track record of delivering impactful solutions in NLP machine vision and AI.
• Must have strong experience as an architect to design and orchestrate scalable AI architecture for automotive use cases in the areas of aftersales supply chain connected vehicles manufacturing in-vehicle experience and intelligent OEM operations. 
• Must have experience working directly with clients in a geographically diverse and matrix environments. 
• 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 :

Yes

Employment Type :

Full-time