Innovative Solutions Developer

2 days ago

Gurgaon, Haryana, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead Machine Learning Solutions Architect

Drive the development of innovative machine learning solutions by leading a team of engineers and collaborating with cross-functional stakeholders to design, implement, and deploy scalable architectures.

About the Role:

  • Design and deliver comprehensive ML architecture patterns operable in native and hybrid cloud environments.
  • Analyze and recommend technical approaches to address complex challenges related to ML model training and deployment in enterprise applications.
  • Research emerging technologies and trends affecting data science/ML lifecycle management in enterprise applications.
  • Develop total solution designs from requirements analysis, design, and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions.

Requirements:

  1. Hands-on programming and architecture capabilities in Python, Java, R, or Scala.
  2. Minimum 8+ years of experience in enterprise applications development.
  3. Experience in implementing and deploying Machine Learning solutions using various models such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.
  4. Strong hands-on experience with statistical packages and ML libraries (e.g., R, Python scikit-learn, Spark MLlib, etc.).
  5. Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.).
  6. Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
  7. Hands-on experience in RDBMS, NoSQL, big data stores like Elastic, Cassandra, HBase, Hive, HDFS.
  8. Work experience as a Solution Architect/Software Architect/Technical Lead.
  9. Experience with open-source software.
  10. Excellent problem-solving skills and ability to break down complexity.
  11. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning, and related technologies.

Benefits:

  • In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solutions and their interdependencies.
  • Specializes in at least one of the AI/ML stack (Frameworks and tools like MxNET and TensorFlow, ML platforms such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call).
  • Demonstrated experience developing best practices and recommendations around tools/technologies for ML lifecycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches, and Model monitoring and tuning.

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