Eminence Technology - AI/ML Engineer
Job Title: AI/ML Engineer
About Eminence Technology:
Eminence Technology was founded in 2008 with the goal of providing professed digital transformation and experience to businesses the world over.
Our range of services include enterprise software development, digital commerce, digital transformation and brand building strategy. After establishing its base and rising above the market standards, Eminence started adding value to businesses through new-age solutions like Blockchain, AI/ML & Cloud Computing. Our company has a long history of helping our clients in achieving their business goals and gaining an edge over their competitors.
For more information, please visit our website: https://eminencetechnology.com
Required Skills Set:
Strong programming skills in languages such as Python, SQL etc.
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.
Must have experience in one of the SQL and No SQL database such as SQL Server/MySQL, and/or MongoDB etc.
Good experience in cloud infrastructure such as AWS, Azure or GCP
Gen AI, LLM (Large language Model).
Job Description:
Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
Develop, implement, and deploy AI/ML solutions.
Preprocess and analyze large datasets to identify patterns, trends, and insights.
Preprocess and analyze large datasets to identify patterns, trends, and insights.
Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency,
and generalizability.
Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.
Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
Location, Salary and working days:
Phase 8, Mohali
As per knowledge and experience
Five days working (WFO)
