AI and Data Science Professional

2 weeks ago


Dombivli, Maharashtra, India beBeeMachineLearningEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Machine Learning Engineer Position

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models that drive business outcomes.

About the Role

This is an exciting opportunity to work on cutting-edge projects that leverage large language models (LLMs) and natural language processing (NLP) techniques. You will collaborate with cross-functional teams to identify opportunities for ML-based solutions and develop robust, scalable, and maintainable software.

  • Leverage strong experience in ML model development to achieve business objectives in innovative and efficient ways.
  • Utilize a solid background in mathematics and statistics to inform model development and evaluation.
  • Design, architect, and develop robust ML solutions, with a focus on integrating LLMs where applicable.
  • Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement.
  • Document business processes, workflows, and requirements clearly and comprehensively.
Required Skills and Qualifications

To succeed in this role, you will need:

  • Proficiency in Python, Machine Learning, REST API, and SQL.
  • Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
  • Conduct data quality checks and exploratory analyses to inform model development.
  • Demonstrated programming skills in relevant languages, particularly Python and API development.
  • Build end-to-end machine learning models, including data structures and transformation processes.
  • Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression).
  • Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks).
Why Join Us?

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.



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