Senior Machine Learning Engineer

1 day ago

Davangere, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a highly skilled Data Scientist to join our team.

This role involves applying advanced Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Computer Vision (CV) techniques to real-world problems.

The ideal candidate will possess deep technical expertise, business acumen, and the ability to work independently and collaboratively in a fast-paced environment.

Key Responsibilities:

  • Act as a Data Scientist for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data
  • Uses predictive modelling, statistics, trend analysis and other data analysis techniques to explore data and to answer specific research questions.
  • Design, develop, and implement end-to-end data science solutions using structured and unstructured data.
  • Takes inputs from Manager/Consultant to develop statistical models (predictive modelling, forecasting etc.) and applies appropriate techniques such as Exploratory Analysis, Regression, and Association etc.
  • Develops executive presentation to present analytical insights derived from the data analysis.
  • Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.).
  • Must have business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation & digital things.
  • Ability to deal well with ambiguity and act with autonomy.
  • Collaborates with team in order to improve the effectiveness of computational models through the use of data and feedback from stakeholders.

Required Skills & Qualifications:

  • 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects.
  • Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.
  • Hands-on experience with Generative AI models (LLMs, VLMs, MLLMs), and an understanding of multi-modal neural networks and Transformer architectures.
  • Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.).
  • Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB).
  • Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.
  • Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce.
  • Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.
  • Ability to work both independently and within a team setting with a proactive mindset.

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