Advanced Analytics Specialist

4 days ago

Nagpur, Maharashtra, India beBeeDataScientist Full time ₹ 20,00,000 - ₹ 25,00,000
Machine Learning Engineer Job Description

We are seeking a highly skilled machine learning engineer to join our team.

About the Role:

  • To design, build, and deploy scalable machine learning models on premise and cloud platforms
  • Collaborate with business stakeholders to identify problem statements, check data availability, and propose solutions to provide insights and address problems
  • Work closely with data engineering teams to source and ingest data into data lakes
  • Look at semi-structured and unstructured data and propose solutions to translate them into structured data formats for better insights
  • Collaborate with S&D leadership to propose and execute ML POCs to deliver quick wins for clients
  • Provide mentorship to junior resources within the data scientist community

Mandatory Skills:

  • 6+ years of experience working in business intelligence, analytics, and machine learning
  • Extensive hands-on experience analyzing data with SQL
  • Experience in data mining of large data sets using tools like SAS, R, or Python to identify patterns
  • Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing and cleaning data
  • Experience using BI tools like Tableau or PowerBI for self-service analysis and visualization of data
  • Document processing using OCR conversion techniques
  • Collaborate with data engineering teams to ingest unstructured and semi-structured data into data lakes
  • Identify data sets, attributes, and patterns to propose appropriate ML approaches for given problems
  • Strong fundamentals in statistics and its application for building and validating ML models
  • Understanding of supervised, unsupervised, and reinforcement learning approaches
  • Strong experience in using regression, classification, and clustering algorithms and their application for appropriate use cases
  • Build models using R, Python, or cloud-native ML offerings from AWS, AZURE, and GCP platforms
  • Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
  • Problem-solving skills along with good interpersonal and communication skills

Nice-to-Have Skills:

  • Exposure to Azure, AWS, and Google Cloud Platforms with hands-on exposure to ML service offerings
  • Experience working with teams located in multiple locations across the globe
  • Knowledge and understanding of various data repositories, databases, ETL, and BI tools, and data assets hosted on Hadoop or cloud platforms
  • Agile development experience and collaborating with data engineering teams
  • Familiarity with Spark, Scala, and distributed data processing platforms will be a big advantage
  • Ability to work with tools like Jupyter/Databricks notebooks to interactively work with data sets

Responsibilities:

We are looking for someone who is passionate about machine learning and has a strong background in advanced analytics. The ideal candidate will have experience in designing, building, and deploying scalable machine learning models on premise and cloud platforms.

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