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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 detail-oriented and articulate Technical Writer to create high-quality documentation that simplifies complex technical information for a wide range of audiences. You will collaborate with developers, engineers, and product managers to produce user manuals, API documentation, online help guides, and training materials.
Key Responsibilities:
- Develop and maintain user manuals, installation guides, API documentation, and FAQs.
- Collaborate with subject matter experts (SMEs) to gather technical information.
- Translate complex concepts into clear, concise, and user-friendly content.
- Create diagrams, flowcharts, and visuals to support documentation.
- Review and edit content created by other team members for clarity and consistency.
- Maintain documentation repositories and version control using tools like Git or Confluence.
- Ensure documentation complies with company standards and style guides.
Required Skills & Qualifications:
- Proven experience in technical writing, preferably in software or IT domains.
- Excellent written and verbal communication skills.
- Ability to grasp complex technical concepts quickly.
- Familiarity with documentation tools such as MadCap Flare, RoboHelp, or Markdown editors.
- Basic understanding of software development life cycle (SDLC).
- Bachelor’s degree in English, Technical Communication, Computer Science, or a related field.
Preferred Qualifications:
- Experience with Agile methodologies.
- Knowledge of HTML, CSS, or scripting languages.
- Exposure to API documentation tools like Swagger or Postman.
Your job as a business development manager is to identify sales leads, pitch our product to new clients and onboard them, and maintain a good working relationship with new contacts/schools. Communicating new product developments to prospective clients.
- Meeting schools and onboarding them
- Creating and managing top level sales funnel and generate leads
- Organize and coordinate operations in ways that ensure maximum productivity
- Managing customer and channel affiliated relationship with client
- Conducting demos and presentation of the product
- Monitor sales, marketing & operational activities; implement strategies to maximise channel sales & collections as well as smooth operations.
- Review your own sales performance, aim to meet or exceed targets
- Gather market and customer information and provide feedback on the same
Why you?
- 5 + years experience in a sales role with schools, preferably in edtech and having a client base ( having direct relationship with the school management) of around 100-150 schools in their region.
- B.tech/MBA degree.
- Detailed understanding of the principles of sales
- Strong communication skills
- Proven track record in achieving sales quotas
- Open to travelling.
Perks:
Apart from very competitive compensation, you will:
- Work in a high paced growth environment
- Work with a very experienced team
Must have attributes:
- Extreme sense of ownership
- Bias for action
- Ability to change the preempt and iterate the course of action to achieve targets.
Responsibilities:
• Designing Hive/HCatalog data model includes creating table definitions, file formats, compression techniques for Structured & Semi-structured data processing
• Implementing Spark processing based ETL frameworks
• Implementing Big data pipeline for Data Ingestion, Storage, Processing & Consumption
• Modifying the Informatica-Teradata & Unix based data pipeline
• Enhancing the Talend-Hive/Spark & Unix based data pipelines
• Develop and Deploy Scala/Python based Spark Jobs for ETL processing
• Strong SQL & DWH concepts.
Preferred Background:
• Function as integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
• Lead project efforts in defining scope, planning, executing, and reporting to stakeholders on strategic initiatives
• Understanding of EDW system of business and creating High level design document and low level implementation document
• Understanding of Big Data Lake system of business and creating High level design document and low level implementation document
• Designing Big data pipeline for Data Ingestion, Storage, Processing & Consumption
- 5+ years of experience building real-time and distributed system architecture, from whiteboard to production
- Strong programming skills in Python, Scala and SQL.
- Versatility. Experience across the entire spectrum of data engineering, including:
- Data stores (e.g., AWS RDS, AWS Athena, AWS Aurora, AWS Redshift)
- Data pipeline and workflow orchestration tools (e.g., Azkaban, Airflow)
- Data processing technologies (e.g., Spark, Pentaho)
- Deployment and monitoring large database clusters in public cloud platforms (e.g., Docker, Terraform, Datadog)
- Creating ETL or ELT pipelines that transform and process petabytes of structured and unstructured data in real-time
- Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus.
- Strong Knowledge in Oracle Forms and Reports
- Should be familiar with various triggers, events , canvas, master child forms, record groups , build-ins, properties etc., in Forms and reports
- Strong Knowledge in SQL / PLSQL concepts
- Strong in Analytical and Aggregate functions
- Strong in writing Procedure / Function / Packages
- Strong knowledge in the user of Cursors / Collections / Exception handling
- Strong in Datatypes, Constrainsts , index
- Having exposure to JavaScript and ReactJS will be an added advantage


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Responsibilities
- 1.Research, develop and create content for Java Full stack courses.
- 2. Deliver interactive sessions with group(s) of learners on specific topics covered in the curriculum clubbed with relevant case studies and live examples.
- 3. Prepare the learners with updated Java Full-stack technologies & concepts: Hibernate, struts, spring, Core Java, Advanced Java, Android, SQL, C, C++, Data Structures, Algorithms, OOPS concepts, server-side JavaScript frameworks like Express, Koa, Hapi etc. (based on Node.js) RDBMS or NO SQL databases, Serialization/Deserialization and Immutability concepts.
- 4. Handle and devise end-to-end training - course content preparation, material preparation, case studies, live projects explanation, etc.
- 5. Develop technical content – practise exercise, creating course scenarios, hands on projects, create assignments & test scripts.
- 6. Create and maintain a database of training strategies, initiatives, modules, and materials.
- 7. Review team members’ content creations and mentor them accordingly.
- 8. Design training program based on the needs of the corporate clients.
- 9. Determine the overall effectiveness of programs and make improvements.
Requirements- 1. B.E/B.Tech with 6+ years of relevant experience.
- 2. Excellent communication skills and a passion for training and mentoring.
- 3. Good understanding of modern Information Technology, and operations of a SOC.
- 4. Strong working knowledge of Windows Server and Linux operating systems.
- 5. Organization skills or previous experience a lead SME.
- 6. Preferred to have good experience as a Technical Trainer.
- 7. Good experience creating technical courseware for delivery in a corporate setting.
- 8. Good to have Java JDK 1.7 or above development and knowledge of Java 8 features experience.
- 9. Desired to have passed at least three technology industry certifications such as Microsoft, CompTIA, Cisco, etc.
- 10. Preferred to have technology teaching certification such as MCE, MCT, MIE or completion of a technology TTT course.
Perks
- 1. Flexible work timings and no leave policy - We don\'t go behind timelines, we work for better product at flexible working hours.
- 2. No hierarchy - Everyone has open access to anyone in the team.
- 3.Medical insurance - We got you covered. We provide insurance for you and your family members.
- 4. 5 days a week - Take time off to revitalise.
Salary Range | : | 25 LPA 30 LPA |
---|---|---|
Exp Required | : | 8.00-10.00 Years |
Age Limit | : | 30-45 Years |
Minimum Education | : | Graduation |
Primary Language | : | Hindi,English |
Previous Industry Experience | : |
IT-Services
|
Previous Functional Area | : |
Full-stack Engineer
|
Customer Handling Experience | : | B2B |
Team Handling Experience | : | Individual Contributor |

- Website and software application designing, building, or maintaining.
- Using scripting or authoring languages, management tools, content creation tools, applications, and digital media.
- Determining user needs by analyzing technical requirements.
- Bachelor's degree in web development or related field, or relevant experience.
- Solid knowledge and experience in programming applications.
- Proficient in JavaScript, HTML, CSS, Angular.
- Proficient in Web development.
- Should have 4 years of experience in web development.
- Solid ability in both written and verbal communication.
- Knowledge of programming language and technical terminology.
- Able to develop ideas and processes and clearly express them.
- Able to solve complex problems.
- Bachelor/Master's in computer science or relevant fields
- 10+ years of Relevant Experience
- Strong sense of ownership
- Excellent Java and object-oriented development skills
- Experience in building and scaling microservices
- Strong Knowledge in RDBMS & NoSQL databases
- Strong problem-solving skills, technical troubleshooting and diagnosing
- Expected to be a role model for young engineers, have a strong sense of code quality, and enforce code quality within the team
- Excellent understanding of Debugging performance and optimization techniques
- Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka
- Experience in developing any large scale Experience in cloud technologies
- Demonstrated ability to deliver in a fast-paced environment

- 2-4 years of experience, with at least 1-2 years of experience in testing Web Applications/Services, UI testing.
- Good exposure to Non-functional tests strategies like Load, Perf and Chaos.
- Good understanding of testing principles: UI and Usability testing, Stress testing, Functional/Regression testing, Code coverage, TDD/BDD, UAT.
- Experience in deploying solutions into AWS is a major plus.
- Good team player, having effective and professional oral and written communication skills.
• You will explain the benefits of PagarBook desktop solution to customers
• Better and Easier accessibility, also available on mobile web
• Access to rich reports which gives you business knowledge, spend
• Unlimited free upgrades for a year
• Bulk update features
• Expense management
• The users can register on the desktop for a free trial for 7 days first
• Sales associate would convert the customer into a paid customer