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Senior Lead AIML Engineer R
Job Location:
Monthly Salary:
Posted:
19 October 2026 (2 days ago)
Posted:
Application Deadline:
16 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Lead AI/ML Engineer
Primary Skills
- Hypothesis Testing T-Test Z-Test Regression (Linear Logistic) Python/PySpark SAS/SPSS Statistical analysis and computing Probabilistic Graph Models Great Expectation Evidently AI Forecasting (Exponential Smoothing ARIMA ARIMAX) Tools(KubeFlow BentoML) Classification (Decision Trees SVM) ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Distance (Hamming Distance Euclidean Distance Manhattan Distance) R/ R Studio
Job requirements
- Experience Range: 6 to 8 years of experience developing modern software applications including at least 5 years building and optimizing machine learning pipelines with Java Python or Scala and 4 years working with distributed computing frameworks such as Spark DASK or Ray. Key Responsibilities: 1. Design develop and maintain scalable machine learning pipelines using Java Python or Scala to support advanced data science solutions. 2. Implement optimize and deploy distributed computing solutions leveraging frameworks such as Spark DASK or Ray to handle large-scale data processing and model training. 3. Lead the end-to-end delivery of low-latency inferencing solutions ensuring robust performance and reliability in production environments. 4. Build and enhance deep learning pipelines for forecasting and personalization using frameworks such as PyTorch and TensorFlow. 5. Collaborate with cross-functional agile teams to design and implement RESTful web services and integrate machine learning components into broader service-oriented architectures. 6. Utilize real-time streaming technologies like Kafka or Storm to enable real-time data ingestion and processing for machine learning applications. 7. Drive experimentation model evaluation and statistical analysis using advanced techniques such as hypothesis testing regression and probabilistic graphical models. 8. Ensure quality and reproducibility of machine learning workflows by leveraging tools such as Git JIRA and containerization platforms like Docker or PCF. Required Skills: 1. Advanced proficiency in Java Python or Scala for software and ML pipeline development 2. Hands-on experience with distributed computing frameworks such as Apache Spark DASK or Ray 3. Deep understanding of machine learning frameworks including TensorFlow PyTorch Sci-Kit Learn Keras and MXNet 4. Expertise in statistical analysis and computing including hypothesis testing T-Test Z-Test and regression methods 5. Experience with real-time data streaming tools such as Kafka or Storm 6. Knowledge of building and deploying deep learning models for forecasting and personalization 7. Proficiency in RESTful web services and service-oriented architecture design 8. Experience with containerization technologies such as Docker or PCF 9. Familiarity with ML workflow orchestration tools like KubeFlow or BentoML 10. Proficiency with Git for version control Preferred Skills: 1. Experience with Great Expectations or Evidently AI for model monitoring and validation 2. Hands-on expertise in SAS SPSS or R/R Studio for advanced statistical modeling 3. Knowledge of advanced forecasting techniques including Exponential Smoothing ARIMA and ARIMAX 4. Familiarity with classification algorithms such as Decision Trees and SVM 5. Understanding of distance metrics like Hamming Euclidean and Manhattan Distance 6. Experience in container orchestration and deployment within cloud or hybrid environments 7. Experience using agile project management tools such as JIRA Desired Qualifications: 1. Bachelors degree in Computer Science Information Systems Data Science or a closely related field 2. Relevant certification in machine learning data engineering or distributed computing (such as TensorFlow Developer Certificate or Databricks Certified Associate Developer for Apache Spark) Additional Information: This role requires working from the office at Manyata Tech Park Bangalore for at least 4 days per week.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
