Senior Boomi Developer

Research Intern 

Position Overview

We are seeking a motivated Research Intern to join our AI research team, focusing on Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. The intern will play a crucial role in evaluating our proprietary models against industry benchmarks, analyzing competitive voice agent platforms, and contributing to cutting-edge research in speech AI technologies.

Key Responsibilities

Model Evaluation & Benchmarking

• Conduct comprehensive evaluation of our TTS and ASR models against existing state-of-the-art models
• Design and implement evaluation metrics and frameworks for speech quality assessment
• Perform comparative analysis of model performance across different datasets and use cases
• Generate detailed reports on model strengths, weaknesses, and improvement opportunities

Competitive Analysis

• Evaluate and compare our voice agent platform with existing solutions (Vapi, Bland AI, and other competitors)
• Analyze feature sets, performance metrics, and user experience across different voice agent platforms
• Conduct technical deep-dives into competitive architectures and methodologies
• Provide strategic recommendations based on competitive landscape analysis

Research & Innovation

• Monitor and analyze emerging trends in ASR, TTS, and voice AI technologies
• Research novel approaches to improve ASR and TTS model performance
• Investigate new architectures, training techniques, and optimization methods
• Stay current with academic literature and industry developments in speech AI

Model Development & Training

• Assist in training TTS and ASR models on various datasets
• Implement and experiment with different model architectures and configurations
• Perform model fine-tuning for specific use cases and domains
• Optimize models for different deployment scenarios (edge, cloud, real-time)
• Conduct data preprocessing and augmentation for training datasets

Documentation & Reporting

• Maintain detailed documentation of experiments, methodologies, and results
• Prepare technical reports and presentations for internal stakeholders
• Contribute to research publications and technical blog posts
• Create visualization and analysis tools for model performance tracking

Required Qualifications

Education & Experience

• Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
• Strong academic background in machine learning, deep learning, and signal processing
• Previous experience with speech processing, NLP, or audio ML projects (academic or professional)

Technical Skills

• Programming Languages: Proficiency in Python; experience with PyTorch, TensorFlow
• Speech AI Frameworks: Experience with libraries like librosa, torchaudio, speechbrain, or similar
• Machine Learning: Strong understanding of deep learning architectures, training procedures, and evaluation methods
• Data Processing: Experience with audio data preprocessing, feature extraction, and dataset management
• Tools & Platforms: Familiarity with Colab or Jupyter notebooks, Git, Docker, and cloud platforms (AWS/GCP/Azure)

Preferred Qualifications

• Experience with transformer architectures, attention mechanisms, and sequence-to-sequence models
• Knowledge of speech synthesis techniques (WaveNet, Tacotron, FastSpeech, etc.)
• Understanding of ASR architectures (Wav2Vec, Whisper, Conformer, etc.)
• Experience with model optimization techniques (quantization, pruning, distillation)
• Familiarity with MLOps tools and model deployment pipelines
• Previous work with voice AI applications or conversational AI systems

Skills & Competencies

Technical Competencies

• Strong analytical and problem-solving abilities
• Ability to design and conduct rigorous experiments
• Experience with statistical analysis and performance metrics
• Understanding of audio signal processing fundamentals
• Knowledge of distributed training and large-scale model development

Soft Skills

• Excellent written and verbal communication skills
• Ability to work independently and manage multiple projects
• Strong attention to detail and commitment to reproducible research
• Collaborative mindset and ability to work in cross-functional teams
• Curiosity and passion for staying current with AI research trends

What You'll Gain

Learning Opportunities

• Hands-on experience with state-of-the-art speech AI technologies
• Exposure to full model development lifecycle from research to deployment
• Mentorship from experienced AI researchers and engineers
• Opportunity to contribute to cutting-edge research projects

Professional Development

• Experience with industry-standard tools and methodologies
• Opportunity to present research findings to technical and business stakeholders
• Potential for research publication and conference presentations
• Networking opportunities within the AI research community

Job Title: Graphic Designer (Fresher)

Location: Jaipur (WFO)

Job Type: Full-time

Experience Level: Fresher (0–1 year)

About the Role: We are looking for a creative and detail-oriented Graphic Designer (Fresher) to join our team. As a designer, you will collaborate with the marketing, product, and content teams to create visually engaging assets that align with our brand’s identity. This is a fantastic opportunity for someone passionate about design and eager to grow their career in a fast-paced, collaborative environment.

• Key Responsibilities:Create engaging and on-brand graphics for social media, ads, presentations, websites, print materials, and more.
• Collaborate with cross-functional teams to understand project requirements and deliver high-quality visuals.
• Assist in maintaining consistency of brand guidelines across all visual communications.
• Take feedback constructively and make design revisions accordingly.
• Stay updated with current design trends, tools, and techniques.
• Requirements:Bachelor’s degree in Graphic Design, Visual Arts, or a related field (or equivalent practical experience).
• Proficiency in design tools such as Adobe Photoshop, Illustrator, InDesign, Canva, or similar platforms.
• Strong portfolio showcasing creative and versatile design work (academic or freelance projects are acceptable).
• Basic understanding of typography, color theory, and layout principles.
• Good communication skills and attention to detail.
• Willingness to learn, adapt, and take creative initiatives.

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Roles and Responsibilities:

·        Must have at least 1 year of experience in Android Studio, Java/Kotlin.

·        Translate designs and wireframes into high quality code.

·        Ensure the best possible performance, quality, and responsiveness of the application.

·        Identify and correct bottlenecks and fix bugs.

·        Help maintain code quality, organization, and automatization

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as “touch”
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration.

Required Skills:

• Designing and developing test automation scripts.
• Using test automation guidelines.
• Researching issues in software through testing.
• Collaborating with QA Analysts and Software Developers to develop solutions.
• Keeping updated with the latest industry developments.

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

Responsibilities

• Work towards making the interface of the Flam app & website visually world-class, clean and legible, intuitive to understand, and aesthetically appealing.
• Experienced in collaborating with Product Managers, UI/UX Designers, and Developers to see an idea through conceptualization, design, validation, and development
• Collaborate with team members from the Tech, Marketing, and Community teams
• Exceptional in terms of customer empathy, human-centric UI designs
• Good understanding of UX principles, Information Architecture, Usability techniques, and UI patterns

Requirements

• 3+ years of experience in building user interface
• Visual design sense across the board
• Designing UIs / Applying illustration skills to UIs
• Typography
• Communication with peers and clear articulation of thoughts and decisions
• Motion Design and Illustration Skills, Micro-animations of illustrations is a plus

• Developing and refining prioritized product needs based on insights from market research, competitive analysis, customer engagement, business needs and collaboration with subject matter experts
• Owning the successful delivery of your roadmap and co-owning the success of the overall products
• Effectively identifying and managing cross-team dependencies
• Building effective relationships that matter with engineering, design, QA and a variety of cross-functional stakeholders
• Developing communications material, value propositions, and high-level strategic justification to help explain the why of your product both internally and externally
• Developing relationships with customers and prospects, gathering and understanding customer feedback on existing products and products in development
• Communicating the vision of the product, value proposition and releasing goals to the cross-functional team as part of the release planning process

Desired Candidate Profile

• Bachelor’s degree
• 2 Years of product management experience, including cloud/SaaS product
• Preferably 5 Years of product management experience, including cloud/SaaS product
• Healthcare Experience
• Understanding of the industry, market, and product/service trends affecting the organization’s competitiveness
• Expertise on features and product
• Excellent communication and collaboration skills
• Customer centric mindset
• Ability to lead agile teams effectively
• Ability to use common tools to create mockups, stories, and roadmaps
• Ability to find way to measure and track customer satisfaction effectively throughout the product development    

Rules & Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment
• Should be able to work on 24 X 7 shifts for support of infrastructure.
• Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
• Manage the production deployment and deployment automation
• Implement process and quality improvements through task automation
• Institute infrastructure as code, security automation and automation or routine maintenance tasks
• Experience with containerization and orchestration tools like docker, Kubernetes
• Build, Deploy and Manage Kubernetes clusters thru automation
• Create and deliver knowledge sharing presentations and documentation for support teams
• Learning on the job and explore new technologies with little supervision
• Work effectively with onsite/offshore teams

Qualifications:

• Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
• Experience in designing, implementing, and maintaining all AWS infrastructure and services
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
• Hands-on technical expertise in Security Architecture, automation, integration, and deployment
• Familiarity with compliance & security standards across the enterprise IT landscape
• Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
• Solid understanding of AWS IAM Roles and Policies
• Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
• Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
• Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
• Experience in managing and working with the offshore teams
• Familiarity with CI/CD systems such as Jenkins, GitLab CI
• Scripting experience (Python, Bash, etc.)
• AWS, Kubernetes Certification is preferred
• Ability to work with and influence Engineering teams

• Relevant experience in building a mobile application using React Native.
• Your primary focus will be on developing user interface components for mobile and implementing them following well-known React workflows. (such as Flux or Redux)
• You will ensure that these components and the overall application are robust and easy to maintain. 
• You will be coordinating with the rest of the team working on different layers of the infrastructure. 
• Should have published at least 2 live hybrid mobile applications. 
• Good understanding of Android / iOS / Web design guidelines, SDK and excellent JavaScript skills. 
• Expertise in RESTful APIs development. 
• Expertise with code testing best practices, including unit and integration testing to ensure a quality of code. 
• Familiarity with code versioning tools such as Git, TFS and Agile/SCRUM Development methodologies