AI Architect

Experion Technologies

Bengaluru, Ernakulam, Thiruvananthapuram

Remote

INR 2,500,000 - 4,200,000

Full time

23 hours ago
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Qualifications

  • Educational background in CS, statistics or economics.
  • Minimum 4 years of data science experience.
  • Strong understanding of ML models and algorithms.
  • Ability to translate business problems into data science problems.
  • Experience with ML algorithms such as regression and time series.
  • Knowledge of NLP, LLMs, deep learning and reinforcement learning.
  • Experience with ML frameworks like TensorFlow, Caffe or Torch.
  • Proficient in Python or R and SQL/NoSQL databases.
  • Familiarity with AWS/Azure cloud and model deployment.

Responsibilities

  • Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems.
  • Design intelligent data science solutions that delivers incremental value the end stakeholders.
  • Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models.
  • Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks.
  • Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible.
  • Work closely with application team to deliver AI/ML solutions as microservices.

Skills

Data science experience
ML algorithms
Python/R
SQL/NoSQL
AWS/Azure cloud
ML frameworks
NLP/LLM
Deep Learning
Deployment Flask/AWS Lambda
BI Visualization

Education

CS/Statistics/Economics degree

Tools

TensorFlow
Caffe
Torch

Job description

  • Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client.
Job Description / Duties & Responsibilities
  • Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems.
  • Design intelligent data science solutions that delivers incremental value the end stakeholders.
  • Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models.
  • Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks.
  • Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible.
  • Work closely with application team to deliver AI/ML solutions as microservices.
Job Specification / Skills and Competencies
  • Masters/Bachelor’s in Computer Science or Statistics or Economics.
  • At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems.
  • Deep understanding of Machine Learning models and algorithms.
  • Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same.
  • Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression, Time Series.
  • Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc.
  • NLP, Text Mining, LLM (GPTs).
  • Deep Learning, Reinforcement learning algorithm.
  • Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc.
  • Understanding of and experience of building machine learning models using various packages in one or more of the programming languages–Python / R.
  • Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts.
  • Understanding of AWS/Azure Cloud architecture.
  • Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda).
  • Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc.).
Soft Skills Required
  • Must be a good team player with good communication skills.
  • Must have good presentation skills.
  • Must be a pro-active problem solver and a leader by self.
  • Manage & nurture a team of data scientists.
  • Desire for numbers and patterns.
Any Additional Information/Specifics
  • To adhere to the Information Security Management policies and procedures.
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