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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A business development executive (BDE) is responsible for driving a company's growth by generating revenue, increasing sales. They do this by identifying new business opportunities, building relationships with clients, and developing strategic partnerships.
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Thanks & regards,
Nandini Jain
Senior HR Executive - Flowace
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Requirements
Proven experience of 4 to 7 years as a Software Engineer
Experience developing cloud SaaS solutions
Knowledge of multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)
Strong knowledge of multiple back-end languages (e.g., C#, Java, Python) and JavaScript frameworks (e.g., Angular, React, Node.js)
Development in Core Java, J2EE, Struts, spring, Client-Side scripting, Hibernate, Database
Strong experience with Spring Boot stack (spring cloud, spring-data)
Extensive experience in developing and consuming REST APIs
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Hands-on experience in Redis, Apache Ignite, Hazelcast
Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
Experience working in an Agile methodology
Strong communication skills
Experience in speech technologies is a plus
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Rejolut is among the fastest-growing and award winning Tech companies working on leading technologies namely Blockchain, Machine Learning & Artificial Intelligence, Complex mobile & Web Apps, IoT, etc.Rejolut is a venture-backed company with clients in over several countries namely Malaysia Airlines,gba global,my-earth,biomes, Dlg-hub,etc.
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Benefits :
> Health Insurance
> Work from Home
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> Competitive Learning Environment with supportive co-workers
> Employee friendly HR Policies
> Paid leaves up to certain limits
> Competitive salaries & Bonuses
> Liberal working atmosphere
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Schedule:
Day Shift/Flexible working hours
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● Setting a vision for how technology will be used in the company.
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● Work closely with Product, Marketing, Business Development and Operations to define
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