Response Informatics | Machine Learning Engineer | chennai

1 week ago

chennai, India Response Informatics Full time

Role: Data Scientist & ML Developer

Location: Chennai

Exp: 4-8 Years


Job Description

  • Data Collection: Gathering and analyzing data from different source systems (databases, spreadsheets, etc.) and ensure it is accurate, complete, and usable for predictions.
  • Data Analysis : Analyzing datasets to uncover patterns, trends, correlations, and anomalies.
  • Modeling & Algorithms: Developing machine learning models (supervised, unsupervised, reinforcement learning, etc.) to solve specific business problems, such as predicting customer expected recommendations,
  • Present data insights and model outcomes in an easily understandable format using charts, graphs, and dashboards.
  • Deployment & Monitoring: Implementing machine learning models into production systems and monitoring their performance over time.
  • Analyze provided data and develop, train, and deploy machine learning models into production environments.
  • Hands on Experience on Data analysis and Machine learning Algorithms with real use cases implemented in different commercial systems.
  • Preferably having knowledge in telecom OSS domain especially CM area
  • Development and deployment experience on Linux and Windows platforms
  • Working closely with customer and local teams to understand the problem space, gather requirements, and communicate findings.
  • Strong design, implementation, and debug skills.
  • Acts as a mentor for team members
  • Good communication and team working skills


Required Qualifications: (Education, Technical Skills/Knowledge)


  • Bachelor or Master degree in CSE/ECE/EEE/EI/IT
  • 4 to 8 years software consulting experience (implementing enterprise software solutions for customers) including direct customer contact
  • Proficiency in Python, Postgres, SQL etc. Python with expertise in Pandas, NumPy, Scikit-learn.
  • Data Manipulation & Analysis: Strong skills in data analysis, and identifying uncovered patterns and trends transforming data using tools like Pandas.
  • Machine Learning: Experience with various machine learning algorithms (e.g., regression, decision trees, random forests, Bayesian, neural networks, etc.) and the ability to select the right approach based on the problem.
  • Mathematics & Statistics: Good to have understanding of probability, statistics, and linear algebra for building models and interpreting results.
  • Ability to use tools like Matplotlib for presenting results
  • Develop and design python programs, fastAPI based micro services based on customer requirements.
  • Knowledge and experience with the professional services project lifecycle (scoping, requirements, construction, QA/test)
  • Experience in Telecom SW Domain
  • Strong written and verbal communications skills

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