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Machine Learning Architect - Deployments
Machine Learning Architect - Deployments
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Machine Learning Architect - Deployments

Vijay Hemnath's profile picture
Posted by Vijay Hemnath
5 - 10 yrs
₹10L - ₹30L / yr
Chennai
Skills
skill iconMachine Learning (ML)
Software deployment
CI/CD
Cloud Computing
Snow flake schema
Amazon Redshift
Big Data
Serverless
AWS Lambda
PySpark
EMR
Data storage
Google Cloud Storage
Amazon S3
Amazon Glacier
Tableau
PowerBI
Qlik
Predictive modelling
skill iconPython
Scikit-Learn
k-means clustering
Artificial Intelligence (AI)
SaaS

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

 

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

 

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

 

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About netmedscom

Founded :
2015
Type :
Product
Size :
500-1000
Stage :
Raised funding
About
Netmeds.com is a fully licensed e-pharma portal that offers authenticated prescription and Over the Counter (OTC) medicine along with other health products. Netmeds is the “first-to-market” to offer a pan-India solution for the quick online purchase and fast delivery of prescription medications and has served more than 5.7 million customers in more than 670 cities and towns. The portal offers customers the convenience of ordering health products online via a simple process. A team of qualified pharmacists’ vets the prescription for validity and dosage that assures dispensing only appropriate medication. Through Netmeds, consumers get access to more than 70,000 prescription drugs for chronic and recurring ailments as well as enhanced lifestyle drugs and thousands of non-prescription goods for wellness, health, and personal care.
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Software Engineer, Memorres
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