Job description: 
Work Experience (Years) -: 3yrs-7 yrs
Hiring Qualification- B.Tech/ BE

Job Responsibilities:
·      Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations.
·      Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc
·      Collaborate with software engineers to integrate Generative AI models into production systems
·      Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood.
·       Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution

·       Should be able to work on structured as well as unstructured data
·       Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
·      Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred)
·      Should have working knowledge on managing ModelOps framework
·      Should understand CI/CD processes in product deployment and used it in delivery.
·      Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy
·      Should be able to take complete ownership of the assigned project
·      Experience of working in Agile environments
·      Well versed with JIRA or equivalent project tracking tool            
                            
Competencies / Skills:
·      Understanding of AI/ML frameworks,LLM libraries, data structures, data modeling, and software architecture. 
·       Proficiency with a deep learning framework such as TensorFlow, Keras, NLP and text analytics and ML algorithms like clustering,
        regression, classification etc
·      Proficiency with Python and basic libraries for machine learning such as scikit-learn, pandas
·      Experience working with recommendation engines, data pipelines and distributed machine learning
·      Ability to select hardware to run an ML model with the required latency

·      Knowledge of cloud platforms (AWS, Azure and GCP)
·      Great communication and collaboration skills.

Role : AI/ML Engineer

Industry : Automotive

Functional Area : Software

Qualification : Btech

Notice : Max 30 Days

Number Of Position : 20

Age Criteria : 25 - 35

Interview Type : Virtual

Job Closed Or Expire : 2024-01-31

Required Skills

Python NLP Keras TensorFlow Deep Learning Framework Software Architecture Data Modeling Data Structures AI/ML Frameworks Managing ModelOps AWS Algorithms Machine Intelligence Artificial Intelligence AI/ML LLM libraries