AI / ML Engineer

Project Role :AI / ML Engineer


Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Data Science

Good to have skills :NA
Minimum 5 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team in Bengaluru and contribute to cutting-edge AI projects.
Roles & Responsibilities:

Expected to be an SME, collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Contribute to the development of applications and systems utilizing AI tools and Cloud AI services.

Create a proper cloud or on-prem application pipeline with production-ready quality.

Apply GenAI models as part of the solution.

Utilize deep learning, neural networks, chatbots, and image processing techniques.

Collaborate with cross-functional teams to deliver high-quality AI projects.

Having broad technology background, with focus on developing software applications in Python for production ready applications.

Writing container-based code and testing code, debugging programs and integrating applications with third-party web services, deployment Work with cross functional team to scale the architecture supporting.

AI models Support data needs for model training/ensemble the models Architecture, security reviews, NFRs Experience in Agile, DevOps, driving best practicesProfessional & Technical Skills:

Must To Have Skills:Proficiency in Data Science.

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools such as Tableau or Power BI.

Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas.

Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB.

Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure. Additional Information:

The candidate should have a minimum of 5 years of experience in Data Science.

A 15 years full time education is required.Qualification15 years full time education