Senior QA Specialist

We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

We are looking for a GenAI-native Learning Builder who can create engaging Grades 6–12 Science and Math content for learners and teachers. This role blends strong curriculum understanding with hands-on use of Generative AI to produce explanations, worked examples, practice material, and assessments. You will also build GenAI Content Playbooks consisting of reusable prompt frameworks, templates, and quality checks to enable consistent content generation at scale. Additionally, you will prototype simple interactive simulations and visualizations using code to make concepts intuitive and engaging.

Key Responsibilities

• Create high-quality and engaging K–12 Science and Math learning content aligned with Indian curricula, incorporating common misconceptions and clear learning scaffolding.
• Use Generative AI tools to draft and iterate concept explanations, micro-lessons, worked examples, question banks, and assessments across different difficulty levels.
• Build GenAI Content Playbooks including reusable prompt frameworks, content blueprints, templates, rubrics, and quality checklists to enable scalable and consistent content generation.
• Prototype and create simple interactive simulations and visualizations to explain concepts effectively.
• Review and validate AI-assisted outputs for accuracy, clarity, grade-level suitability, and correctness of solutions, and continuously improve playbooks based on feedback.
• Collaborate with subject matter experts, designers, and engineers to integrate content and playbooks into production pipelines and tooling.

Required Skills & Qualifications

• Strong familiarity with K–12 Science and/or Math curriculum.
• Proven ability to create student-friendly explanations and practice material that promote conceptual understanding rather than rote learning.
• Hands-on experience using Generative AI for educational content creation, iteration, and refinement.
• Ability to design repeatable GenAI Content Playbooks combining prompt frameworks, templates, and quality control processes.
• Comfort with coding sufficient to build basic learning interactives using JavaScript, HTML, CSS, Python, or similar technologies.
• Strong written communication skills with high attention to detail, especially for correctness in math and science content.

Desired Skills & Qualifications

• Experience with structured item writing approaches such as Bloom’s taxonomy, misconception targeting, difficulty calibration, and tagging.
• Familiarity with tools and workflows such as Markdown, LaTeX for mathematical content, Google Docs or Sheets, and content QA pipelines.
• Experience building interactive visualizations using tools such as p5.js, D3.js, Desmos or GeoGebra scripting, React, or Jupyter widgets.
• Prior experience in ed-tech, curriculum publishing, teaching or coaching, or working with large-scale school programs.

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.

We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.

Leadership and Strategy:

• Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
• Establish the company’s technical vision and lead all aspects of technological development.

Development:

• Develop and maintain the front-end and back-end of web applications.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

• Maintain code integrity and organization.
• Identify and correct bottlenecks and fix bugs.
• Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

• Regularly update the system to protect against vulnerabilities.

Innovation:

• Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
• Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

• Work closely with other departments to understand their needs and translate them into technical solutions.
• Communicate technology strategy to partners, management, investors, and employees.

Project Management:

• Oversee and support project planning, deadlines, and progress.
• Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

• Foster a culture of innovation and excellence within the technology team.
• Mentor and guide the professional and technical development of team members.

Front-End Development:

• HTML/CSS: For structuring and styling the web pages.
• JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

• Python: Using frameworks like Django or Flask for server-side logic.
• Node.js: JavaScript runtime environment for building scalable network applications.
• Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

• SQL Databases: MySQL, PostgreSQL for structured data storage.
• NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

• Nginx or Apache: For server and reverse proxy functionalities.
• Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
• Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

• Git: For version control.
• Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
• Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

• AWS: For various cloud services like computing, database storage, content delivery, etc.
• Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

• OAuth, JWT: For secure authentication mechanisms.
• SSL/TLS: For secure data transmission.
• Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

• Selenium, Jest, or Mocha: For automated testing.
• New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

• Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
• Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

• GraphQL: For querying and manipulating data efficiently.
• WebSockets: For real-time bi-directional communication between web clients and servers.

SALES REPRESENTATIVE | VOICE PROCESS | USA

Job Description:

• Communicate with US customers via email, chat, and phone.
• Quickly search for customer requirements in the live inventory.
• Assist customers in placing orders and process sales over the phone.
• Negotiate with customers & achieve assigned sales targets.
• Provide order updates, and collect feedback.
• Typing Speed: Minimum 25-30 WPM

Candidate Requirements:

• International accent or experience in international voice processes
• Strong multi-tasking skills and a willingness to learn
• Previous experience in sales and negotiation skills
• Proven ability to meet targets

Details:

• Shift: Night Shift (8 PM to 5 AM or 9 PM to 6 AM)
• Working Days: Monday to Friday (5 days)
• Work Mode: On-site at Madhapur Work from Office
• Joining: Immediate joiners preferred
•  Experience 0-3 years in the International voice process only
•  Salary 2-6 LPA & other incentives

The ideal candidate must have -

• At least 2 years of practical experience in defining, developing, maintaining and executing test cases
• Prior experience dealing with full product development lifecycles and multiple releases
• Experience of working with Web, Mobile, and API Testing
• Basic understanding of good programming practices, architecture and design patterns
• Knowledge of Performance & Security Testing
• Solid analytical & problem-solving skills and experience of working in Agile process management methodology
• Should be excellent at communication, be able to explain ideas clearly.
• Must be extremely proactive and self-starter.
• Good knowledge of test automation tools like PyTest, Mocha, Cypress or comparable is a big plus.

Must have:

• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
• Strong proficiency in JavaScript, object model, DOM manipulation and event handlers, data structures, algorithms, JSX, and Babel 
• Complete understanding of ReactJS and its main fundamentals like JSX, Virtual DOM, component lifecycle, etc. 
• Preceding experience with ReactJS workflows like Redux, Create React App, data structure libraries

• Strong understanding of Javascript, ReactJS, HTML, CSS, Ruby and Ruby on Rails 
• Strong understanding of scalable, modular, open and robust application / database architecture. 
• Strong analytical, problem solving skills for ambiguous high level business / technical issues
• Familiarity with concepts of MVC, ORM, and RESTful
• Understanding of fundamental design principles behind a scalable application 
• Able to create database schemas that represent and support business processes
• Hands on Experience with relational databases Postgresql and MySQL
• Solid understanding of object-oriented programming 
• Proficient in writing unit and functional tests with RSpec, Capybara
• Familiarity with Couchbase and ElasticSearch (NoSQL DB)
• Able to implement automated testing platforms and unit tests with RSpec
• Proficient understanding of code versioning tools (e.g. Git)
• Familiarity with development aiding tools (such as Bower, Bundler, Rake, etc)
• Familiarity with continuous integration/continuous development (CI/CD) tools and methodologies
• Proficient in verbal and written communication.
• Experience in debugging system performance issues and creating long term solutions for the same would be an added benefit.

The ideal candidate is a highly resourceful and innovative developer with extensive knowledge in the layout, design and coding of websites specifically in PHP format. You must also possess a strong knowledge of web application development using PHP programming language and MySQL Server databases. 

Responsibilities

• Perform a mix of maintenance, enhancements, and new development as required
• Work in a data analyst role and with business intelligence applications
• Document features, technical specifications & infrastructure Responsibilities
• Work cross-functionally to convert business needs into technical specifications

Qualifications

• Trained PHP Candidates
• Need to have good skills in web development and software design
• Expertise in front-end technologies (HTML, JavaScript, CSS), PHP frameworks, and MySQL databases