Job Description:

Profile: SH IT Applications

Key responsibilities:

1. Architect, design, implement and support solutions to deliver approved use cases. 
2. Identify valuable data sources and automate collection processes.
3. Undertake preprocessing of structured and unstructured data
4. Azure Services configurations (AKS, Web Apps, Key-Vault, BLOB, Monitor) and related deployments.
5. Build predictive models and machine-learning algorithms.
6. Combine models through ensemble modelling if/when required.
7. Functional to Technical Requirement mapping.
8. Documentations, RUD, TSD, FSD, Design & User manual etc.
9. Solution Design, Technical Specification, and architecture.
10. Collaborate with internal and external teams in delivering solutions.
    

• Required Skills:

  1. Proven Experience as Technical Lead, managing a team of Full Stack or a mix of Front-end, Backend developers for 6-8 years
  2. Experienced in deploying libraries + frameworks (e.g., TensorFlow, scikit-learn) in real-world scenarios with large data sets.
  3. Knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an advantage.
  4. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. 
  5. Machine Learning – good knowledge of machine learning methods like Neural Networks, Gradient Boosting, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests etc.
  6. Strong Math Skills (e.g. Statistics, Algebra).
  7. Data Wrangling – proficiency in handling imperfections in data. 
  8. Experience with Data Visualization Tools like matplotlib, Tableau, Power BI etc. 
  9. Excellent Communication and Presentation Skills.
  10. Problem-solving aptitude, analytical skills, and business acumen.

•  Qualifications:

   Degree in Computer Science Engineering 

•  Preferred Skills: 

  • Manufacturing Industry experience.
  • Experience with Process Optimization, Predictive Maintenance, Anomaly Detection, Operations Research, time-series data.
  • Exposure to Large Language Models for Manufacturing industry Use Cases

 

Qualifications:

Minimum Experience Level:
8-12 Years

Report to:
Vice President