Machine Learning (ML)
PythonWe 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Qualifications
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- Sales and direct sales skills
- Experience or knowledge in international sales, direct sales,
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● Help us build out our atl and btl marketing and social media campaigns
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Redux/FluxOur client offers a wide range of business advisory services such as strategic advisory, financial advisory, transaction support, process consulting, people & organisation consulting etc. to its clients.
They serve across sectors like financial services, education, healthcare, real estate etc. and their clients include diversified conglomerates, leading commercial banks, insurance companies, family businesses, investment houses etc.
Originated in Kuwait and with over 18 years of experience, our client has their offices in Dubai, India and Australia. They have an in-depth understanding of the business environment of the GCC and wider MENA region. Established in 2003 and with a strong multi-disciplinary team, they have served 100+ clients across 800+ assignments.
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What you will do:
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What you need to have:- MBA from a premier institute/ CFA (USA)/ CA (ICAI)
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Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).
Java- Should have 3 to 5 year’s hands-on experience in testing Desktop & Web Applications.
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Good to have:
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Skills & tool set:
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- Others: Jira, GIT, Maven, Gradle, Bamboo, TestNG, Charles, Fiddler, JIRA, Zephyr.
NodeJS (Node.js)Javascript
Vue.js
Express- Writing well-designed, stable and efficient code
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Job is based out of Gandhinagar.
FE will work as a decision maker for the trucker side, where he will be entitled to take decisions regarding truck on-boarding, trip finalization, ongoing trip issues or payment related issues, etc. FE will make decisions regarding trucker side operations with taking the Admin team in confidence.
✔ During trucker on-boarding, if any of the truck owners are having more than ten numbers of trucks with the same owner; FE will have to notify the accounts department about it for taxation purposes.
✔ Any kind of internal communication from the trucker side such as communication with material side, admin team, accounts department, or any other department of the organization will be done only through FE.
✔ The same way any communications from the trucker side with individuals who are not part of an organization such as truck owners, transporters, and other stakeholders will be done under direct monitoring of FE.
✔ FE will also have to guide the executives to upload dummy truck-ads to keep the consignors engaged on our platform, but this task shall be done under strict monitoring of FE.
✔ FE will also have to guide and support the executives to finalize the trips.
✔ All the advance payments for finalized trips will be firstly verified by FE, then only he/she will communicate it to the accounts department.
✔ During the loading the process if there is any damage by the driver within the premises of the consignor, FE will have to communicate with the truck driver/owner and SME/CP to make the settlements. In such cases, the final decision will be taken by FE and SME mutually with the admin team in confidence.
✔ In the same way, if there is any damage to the material while unloading, FE will communicate regarding these with truck driver/owner and SME/CP to make settlements. In such cases, the final decision will be taken by FE and SME mutually with the admin team in confidence.
✔ In case of Payment delay or no payment conditions, FE will coordinate with SME and take decisions for trip continuity.
✔ In case of any major breakdown, accident, material/vehicle damage or seizure of vehicle/material by any authority FE will have to communicate with the truck driver/owner to continue the trip.
Looking for a go-getter, an ideal candidate with an entrepreneurial mindset, happy to wear multiple hats and jiggle between tasks.
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- Establish/Discover b2b strategic partnerships, carry out experiments, and do an analysis of conversions WoW, Customer acquisition cost, and so on.
- Definitely an interesting role to work on, opportunity to collaborate and learn multiple areas of operations and extensive knowledge capital.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon