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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.

Job Summary:

We are seeking a highly skilled Senior .NET Engineer with extensive database design experience to join our team. As a Senior .NET Engineer, you will be responsible for designing, developing, and maintaining complex software applications using the .NET framework. You will also be responsible for designing and implementing complex database solutions using the EF Core framework that support these applications.

Specific Responsibilities and Accountabilities:

• Design, develop, and maintain software applications using the .NET framework and database solutions using Entity Framework Core
• Create and maintain data models and schema designs using best practices and industry standards
• Develop and implement database security measures to protect sensitive data
• Optimize database performance and ensure data integrity
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, efficient, and maintainable code that meets specifications
• Troubleshoot and debug software issues as needed
• Keep up-to-date with emerging trends and technologies in software development and database design
• Participate in code reviews and provide feedback to other developers

Personal Qualities, Knowledge, Experience and Skills Required:

• Bachelor's or Master's degree in Computer Science or related field
• At least 5 years of experience in software development using the .NET framework and database design and development using Entity Framework Core
• Experience with object-oriented programming (OOP) concepts, design patterns and microservice architecture.
• Experience with database design, including data modeling and schema design
• Experience with MySQL Server or other relational database management systems
• Familiarity with agile development methodologies
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication and interpersonal skills

Job Description for Java:

• Experience in JAVA programming and application development using Spring MVC, Spring Boot, Spring Security, Hibernate and Microservices

• Experience in building products with Full stack technologies, with excellent understanding of computer science fundamentals, data structures, algorithms, OOPs and OOA/D

• Experience in MySQL, Mongo dB (or other NOSQL db’s), REST, Web Sockets, JavaScript, Ajax

• Experience with GO a plus

• Experience with one of JavaScript Frameworks (React, Angular, Vue etc.)

• Experience in Rest API development using Spring MVC or Spring Boot

• Able to define, design, implement complex, and scalable systems

• Good team player and communication skills

• Experience with agile development methodologies with Test Driven Development (TDD)

• Experience with Jenkins Setup CI/CD (Continuous Integration / Continuous delivery)

• Starting and stopping SAP instance.
• User administration – setup and maintenance.
• Authorization / Role / Profiles – setup and maintenance.
• Setup SAP security.
• Maintenance of system's health.
• Monitor system performance and logs.
• Spool and print administration.
• Maintain system landscape.

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.

Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics

2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.