Ml Engineer

Xoriant

5 - 10 years

25 - 35 Lacs

mumbai gurugram chennai

Posted:22 hours ago| Platform:

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Skills Required

al machine learning python ml

Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities:
This role will involve developing, implementing advanced analytics and machine learning models to extract insights and create predictive solutions.
Build solutions using Statistics, Machine Learning, Deep Learning or Generative AI
Interact with client for understanding requirements and discussing solutions
Identify new data sources and technologies that can improve data analysis and modeling capabilities.
Ensure data privacy and compliance with relevant regulations

Job Requirement:
Bachelors or higher degree in a relevant field like Computer Science, Statistics, Mathematics, Engineering
5-7 years
industry experience in a data science or Machine Learning projects
Strong experience in
Machine Learning
is a must with an acumen for statistical analysis of structured data
Experience in Deep Learning, Computer Vision is not critical and is optional
Generative AI is not critical but good to have skill
Should have implemented solutions using various ML models such as
SVM, Random Forest, XG Boost, prediction modelling, forecasting modelling, anomaly detection
Strong programming skills in languages such as
Python,
PySpark and
SQL
Expertise and fluency in ML technologies & frameworks such as
Scikit Learn, PANDAS, Numpy,
Spark, etc
Exposure to
MLOps and Model Training Pipeline development

on cloud
will be an advantage
Experience in frameworks such as TensorFlow, Keras, PyTorch is not critical and is optional
Experience of requirement understanding & solution designing
Good to have knowledge in Generative AI techniques prompt engineering, LLMs, Vector DB
Familiarity with Cloud platforms, particularly
Azure, AWS or GCP
, and expertise in designing, developing, and deploying cloud-based solutions
Excellent problem-solving skills and the ability to translate business questions into data science projects.
Strong leadership, communication, and project management skills.
Exceptional standards for quality and strong attention to detail.
Ability to manage multiple projects and on-demand business requests simultaneously.
Relevant certifications (e.g.,
Azure Data Scientist Associate,

AWS ML Specialty
) can be an advantage

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