HR Manager

Job Description:

• Strong proficiency with JavaScript / Core Java and other related technologies.
• Expertise in developing models and scalable Microservices components.

Good to have:

• Knowledge of Databases such as MySQL, DB2, Oracle and etc. (at least one)
• Basic understanding of front-end technologies, such as HTML5, and CSS3

Roles & Responsibilities:

• Developing and maintaining scalable APIs using Node.js
• Writing reusable, testable, and efficient code
• Integrating user-facing elements developed by front-end developers with server-side logic
• Designing and implementing low-latency, high-availability, and performant applications
• Implementing security and data protection measures
• Integrating data storage solutions (MongoDB, MySQL, etc.)
• Staying abreast of developments in web applications and programming languages

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Job Description

• Bachelor’s degree in software engineering, computer science or similar program.
  . Need 2+ years of experience in Sales force who is technically strong and capable of providing solutions.
  · Minimum 2 years into SFDC CPQ implementations.
  · Strong written and spoken English language communication skills
  · Deep knowledge on Salesforce configuration including objects, fields, profiles, roles, workflows, approval processes, process builders, etc.
  · Strong knowledge of APEX, Visualforce and the Lightning platform development framework
  · Solid understanding of data migration tools and processes with regard to Salesforce
  · Solid experience and knowledge developing integrations with Salesforce using REST or SOAP for example.
  · Ability to clearly answer questions on the different design options available on the Salesforce platform and the trade off’s which exist between different approaches
  · Lightning Components, Rest API , Apex Best Practices, Strong enthusiasm to learn new domains and technologies.
  . Should be able to lead the team and guide the juniors during the implementation.

Technical Skills

• Facilitate business process reviews to identify client requirements and processes. Able to convert client requirements into Salesforce CPQ design, leveraging Best Practices and minimizing the need for custom development. Configure Salesforce CPQ and Sales Cloud solutions
  • Atleast 1+ CPQ full project end to end implementations experience
  • Extensive experience in integrating 3rd party apps to salesforce CPQ
  • Extensive experience in configuring QCP (Quote Calculator Plugin), Custom Actions, Custom Scripts, Advanced Grouping, Price Rules, Product Rules, Summary Variables, Designing of custom CPQ Advanced Quote templates, Product Bundles, Configuration attributes, Types of Discount Schedules, Pricing Models
  • CPQ Certification is an added advantage.

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
• Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
• CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
• Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
• End to end deployment of deep learning models.

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred

Minimum 4 years exp 

Skillsets:

1. Build automation/CI: Jenkins
2. Secure repositories: Artifactory, Nexus
3. Build technologies: Maven, Gradle
4. Development Languages: Python, Java, C#, Node, Angular, React/Redux
5. SCM systems: Git, Github, Bitbucket
6. Code Quality: Fisheye, Crucible, SonarQube
7. Configuration Management: Packer, Ansible, Puppet, Chef
8. Deployment: uDeploy, XLDeploy
9. Containerization: Kubernetes, Docker, PCF, OpenShift
10. Automation frameworks: Selenium, TestNG, Robot
11. Work Management: JAMA, Jira
12. Strong problem solving skills, Good verbal and written communication skills
13. Good knowledge of Linux environment: RedHat etc.
14. Good in shell scripting
15. Good to have Cloud Technology : AWS, GCP and Azure