Senior Data Analyst

CrimsonLogic; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

CrimsonLogic Bengaluru is seeking a beginner-friendly ML engineer to analyze data, build scalable models, and collaborate with the engineering team to bring prototypes into production. You will apply your knowledge of ML concepts, experiment with libraries, and contribute to business insights while learning in a fast-paced environment.

The role requires a degree in a quantitative field and 0-1 year of experience, with Python proficiency and familiarity with cloud services like AWS/Azure.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• 0-1 year of relevant professional experience.
• Fluency in a programming language (Python, C, C++, Java).
• Strong knowledge of AI/ML concepts, particularly anomaly detection, predictive analytics, clustering, NLP, neural networks, and LLMs.
• Hands-on experience with machine learning libraries and frameworks such as NumPy, pandas, scikit-learn, PyTorch, and TensorFlow.
• Familiarity with cloud platforms like AWS and Azure, especially with AI/ML and data-related services.
• Experience working with databases, including relational, NoSQL, document, graph, vector databases and Elasticsearch.
• Experience in image processing is an advantage.
• Exposure to DevOps and MLOps practices is a plus.
• Familiarity with AIS (Automatic Identification System) data is a plus.
• Experience developing chatbots, voice assistants, or customer service applications is a plus.
• Experience in web crawling, data collection, processing, and integrating external data sources is a plus.
• Experiences with HS Code Classification is a plus.
• Candidates from a premier institute
• ,
• 1+ years of work experience with Python (Programming Language)

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design, develop and optimize machine learning models
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
• A proactive problem-solver, quick learner, and reliable team player with a can-do attitude.
• Strong sense of discipline, ownership, and commitment to delivering high-quality work.
• Solid coding skills, with a focus on clean, efficient, and maintainable code.
• Good foundation of machine learning, data structures, algorithms, operating systems, computer architecture, mathematics, and statistics.

Skills

Python

Data analysis

Machine learning

C/C++/Java

Education

Bachelor's degree in quantitative field

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

AWS

Azure

Relational databases

NoSQL databases

Elasticsearch

Web crawling

APIs

Job description

The ideal candidate\'s favourite words are learning, coding, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design, develop and optimize machine learning models
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
• A proactive problem-solver, quick learner, and reliable team player with a can-do attitude.
• Strong sense of discipline, ownership, and commitment to delivering high-quality work.
• Solid coding skills, with a focus on clean, efficient, and maintainable code.
• Good foundation of machine learning, data structures, algorithms, operating systems, computer architecture, mathematics, and statistics.

Qualifications

• Bachelor\'s degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• 0-1 year of relevant professional experience.
• Fluency in a programming language (Python, C,C++, Java)
• Strong knowledge of AI/ML concepts, particularly in anomaly detection, predictive analytics, clustering, NLP, neural networks, and large language models (LLMs).
• Hands-on experience with machine learning libraries and frameworks such as NumPy, pandas, scikit-learn, PyTorch, and TensorFlow.
• Familiarity with cloud platforms like AWS and Azure, especially with AI/ML and data-related services.
• Experience working with databases, including relational, NoSQL, document, graph, vector databases and Elasticsearch.
• Experience in image processing is an advantage.
• Exposure to DevOps and MLOps practices is a plus.
• Familiarity with AIS (Automatic Identification System) data is a plus.
• Experience developing chatbots, voice assistants, or customer service applications is a plus.
• Experience in web crawling, data collection, processing, and integrating external data sources is a plus.
• Experiences with HS Code Classification is a plus.
• Candidates from a premier institute

Requirements added by the job poster

• 1+ years of work experience with Python (Programming Language)