Artificial Intelligence/Machine Learning Engineer

1 month ago


Pune, India Kreeda Labs Full time

Job Title: Artificial Intelligence/Machine Learning Engineer

Job Summary:

We are seeking a highly skilled AI and Machine Learning Engineer to develop and implement AI and machine learning solutions on cloud-based platforms. The ideal candidate will have a strong background in machine learning, deep learning, and software engineering, with experience in cloud deployment and data visualization.

Key Responsibilities:

  • Develop AI and machine learning solutions on cloud-based platforms.
  • Identify, access, import, clean, and format data from various sources.
  • Implement research findings and custom models effectively.
  • Construct backend systems to interface with other microservices.
  • Train and optimize machine learning models for optimal performance.
  • Engineer scalable machine intelligence systems and infrastructure for real-world deployment.
  • Justify the application of AI/ML solutions based on problem statements.
  • Prototype solutions efficiently and deliver results promptly.
  • Manipulate data using SQL and scripting languages.
  • Collaborate with internal and external teams to design and deploy AI and ML solutions.
  • Explore emerging AI and machine learning trends and develop prototypes.
  • Demonstrate effective communication and teamwork skills.

Experience and Qualifications:

  • Proven experience in leading AI projects.
  • Proficiency in cloud deployment of AI solutions (AWS, GCP, or Azure).
  • Familiarity with Lang chain, advanced RAG applications, and Vector database.
  • Experience in developing advanced Gen AI solutions.
  • Strong analytical skills including data pre-processing and various ML techniques.
  • Expertise in model building, optimization, and data visualization.
  • Knowledge of major ML algorithms for Natural Language Processing, Computer Vision & Graph Networks.
  • Hands-on experience with cloud platforms like AWS/Microsoft Azure.
  • Proficient in SQL query development.
  • Familiarity with data platforms such as Snowflake is advantageous.
  • Knowledge of MLOps (Machine Learning Operations) is a plus.
  • Experience in advanced Computer Vision model development is beneficial.
  • Practical experience in deep learning projects is highly valued.
  • Ability to enhance the accuracy, runtime, scalability, and reliability of machine intelligence systems.
  • Proficient in understanding underlying mathematical concepts and algorithms.
  • Enthusiasm for continuous learning of state-of-the-art techniques in ML/Data science.


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