14 Gunicorn Jobs

Bold is seeking for newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOULL DO Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team.? WHAT YOULL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Fine-tuning knowledge is good to have. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT&aposS GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins EXPERIENCE- Module Lead- 5.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don&apost discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

You will join the Data Science team at BOLD, where you will utilize your analytical skills and business acumen to provide valuable insights to the Product and Management teams. Your primary responsibility will involve leveraging extensive user data sets to drive product development, enhance current products, and identify relationships within the data to develop new products. The Data Science department at BOLD focuses on discovering patterns and trends in datasets, creating predictive algorithms and data models, improving product quality using machine learning techniques, providing insights to other teams and top management, and utilizing data tools like Python and SQL. This team collaborates with various vertical teams such as Engineering, Portals, BI, Product, and Legal on projects that involve natural language processing and machine learning, including resume parsing, ranking, summary generation, data quality and scoring, job recommendations, and more. Your role will involve working on data science projects encompassing predictive modeling, NLP, statistical analysis, machine learning, and more. You will use the rich user data sets to conduct research, develop models, and collaborate with Development & Product teams to create data products. Additionally, you will work on developing scalable data systems using machine learning techniques to enhance user experience, experiment with different Large Language models, and improve the job seeker experience through agentic workflows. To excel in this role, you should have knowledge and experience in statistical and machine learning algorithms, proficiency in Python, experience with backend technologies like Flask/Gunicorn, and familiarity with open-source libraries such as Spacy, NLTK, Gensim, and deep-learning libraries like TensorFlow and PyTorch. You should also be a keen learner, have experience with prompt engineering and vector databases, and ideally be familiar with Langchain and/or Llamaindex. Experience with Cloud infrastructure (Azure, AWS), deploying models using tools like Jenkins, and understanding career/recruiting domain taxonomies like O*Net would be beneficial. The ideal candidate should have at least 2.5 years of experience as a Software Engineer or 4.5 years as a Senior Software Engineer. In return for your contributions, BOLD offers outstanding compensation, competitive salary, tax-friendly compensation structure, bi-annual bonus, annual appraisal, equity in company, full health benefits, flexible time away, and additional benefits like internet and home office reimbursement, catered meals, certification policy, and cab facilities. About BOLD: BOLD is a global organization dedicated to transforming work lives by helping people find jobs through digital products that empower individuals to create impressive resumes, cover letters, and CVs. We celebrate diversity and inclusion, fostering an environment where experts, learners, contributors, and creatives thrive together.,

We are looking for a highly skilled Speech AI Application Engineer to join our team, specializing in building and optimizing backend solutions for AI-driven speech processing applications. If you are passionate about developing scalable and efficient applications in the speech AI space, this role is perfect for you. Responsibilities: - Develop and maintain backend systems using Python (3+) and frameworks such as FastAPI or Flask. - Ensure application scalability and reliability using Gunicorn / Uvicorn. - Design and optimize SQL and No-SQL databases for efficient data storage and retrieval. - Work with Redis and other Caching databases to improve application performance. - Manage message queues like RabbitMQ or similar for efficient task handling. - Build and deploy applications in Docker containers, following containerization best practices. - Collaborate with the DevOps team to manage container orchestration and ensure smooth deployment workflows. - Use Git for version control and participate in code reviews to maintain clean, modular code. - Debug, troubleshoot, and resolve issues in Python applications and backend services. - Follow standard modular and clean code practices to maintain the quality and sustainability of codebases. - Collaborate with cross-functional teams, including speech scientists and machine learning engineers, to support backend tasks related to speech processing. Qualifications: - 3+ years of experience in backend development, particularly using Python3. - Hands-on experience with SQL and No-SQL databases. - Proficiency in building REST APIs using FastAPI, Flask, or similar frameworks. - Expertise in managing backend servers using Gunicorn/Uvicorn. - Experience with Docker and containerization. - Strong debugging skills and the ability to solve issues in Python applications and backend systems. - Familiarity with Redis, caching databases, and message queues such as RabbitMQ. - Proficient understanding of Git and version control best practices. - Understanding of modular programming principles and clean code methodologies. - Knowledge of speech processing and speech-related backend tasks is a plus. Good to Have: - Experience with speech AI and speech processing pipelines. - Familiarity with machine learning models and speech-related tasks in a production environment. - Experience in deploying models Benefits: - Opportunity to work on cutting-edge Speech AI applications. - Collaborative work environment with opportunities for growth and development. - Exposure to the latest technologies in the AI and Speech Processing space. Join us and contribute to transforming the future of Speech AI applications!,

Dear Candidate, We are hiring a Django Developer to build secure, scalable, and maintainable web platforms using Python and Django. Key Responsibilities: Develop backend logic using Django and Django REST Framework Design APIs, models, and views with clean architecture Integrate PostgreSQL/MySQL and manage migrations Implement authentication, admin panels, and testing Optimize queries and deploy to cloud environments Required Skills & Qualifications: Proficient in Python 3+ , Django , and DRF Familiar with ORMs , Celery , Redis , and Docker Experience with unit testing and CI/CD Bonus: Knowledge of GraphQL or FastAPI Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Responsibilities: Work closely with cross-functional teams to understand project goals and deliver high-quality solutions Develop scalable APIs using FastAPI and Python Build RESTful services with PostgreSQL , MySQL , Redis Bonus: Exp. with React.js Cafeteria Job/soft skill training Course reimbursements

We are looking for a highly responsible Django Developer to join our ongoing projects. The role requires a combination of backend development and DevOps management. The ideal candidate should be able to: Backend Development: Develop and maintain REST APIs using Django and Django REST Framework. Handle bug fixes, optimization, and performance tuning. Write clean, scalable, and well-documented code. Maintain up-to-date API documentation using tools like Postman. Collaborate with the frontend and mobile teams for integration. DevOps Responsibilities: Maintain Linux-based servers (Ubuntu). Setup and manage Docker containers, CI/CD pipelines, and deployments. Configure and monitor services like Nginx, Gunicorn, and supervisor. Monitor and tune PostgreSQL databases. Automate backups, logging, and server health monitoring. Required Skills: Strong experience in Django, Django REST Framework, PostgreSQL. Solid grasp of Docker, Git, and CI/CD tools (GitHub Actions). Good knowledge of Linux server management. Understanding of nginx, Gunicorn, and WSGI stack. Familiarity with API testing tools like Postman or Swagger. Bonus Skills: Experience with React/React Native or other frontend technologies. Knowledge of AWS, DigitalOcean, or other cloud services. Basic frontend styling or mobile app integration.

We are looking for a skilled Django Developer to join our development team. As a Django Developer, you will be responsible for building, maintaining, and optimizing back-end applications, APIs, and server-side logic.

Dear Candidate, We are hiring a Python Developer to build scalable backend systems, data pipelines, and automation tools. This role requires strong expertise in Python frameworks and a deep understanding of software engineering principles. Key Responsibilities: Develop backend services, APIs, and automation scripts using Python. Work with frameworks like Django, Flask, or FastAPI. Collaborate with DevOps and data teams for end-to-end solution delivery. Write clean, testable, and efficient code. Troubleshoot and debug applications in production environments. Required Skills & Qualifications: Proficient in Python 3.x , OOP, and design patterns Experience with Django, Flask, FastAPI, Celery Knowledge of REST APIs, SQL/NoSQL databases (PostgreSQL, MongoDB) Familiar with Docker, Git, CI/CD, and cloud platforms (AWS/GCP/Azure) Experience in data processing, scripting, or automation is a plus Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Role: Software Engineer-Backend Location: Hyd Exp:5-8 Years Salary: 18-24 LPA Mode: Hybrid Job Type:Contract 1yr (Extendable) Skills: Flask,Django, Gunicorn, Uvicorn,AWS,Asyncio

Role: Software Engineer-Backend Location: Hyd Exp:5-8 Years Salary: 18-24 LPA Mode: Hybrid Job Type:Contract 1yr (Extendable) Skills: Flask,Django, Gunicorn, Uvicorn,AWS,Asyncio

Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Required Candidate profile Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Familiarity with front-end technologies (like JavaScript and HTML5) Team spirit Good problem-solving skills Perks and benefits Free meals and snacks. Bonus. Vision insurance.

Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Required Candidate profile Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Familiarity with front-end technologies (like JavaScript and HTML5) Team spirit Good problem-solving skills Perks and benefits Free meals and snacks. Bonus. Vision insurance.

Job Description: Who are we Infosys NYSE INFY is a global leader in consulting technology and outsourcing solutions with annual revenues of over 15 64 B as of 2022 We enable clients in more than 50 countries to stay a step ahead of emerging business trends and outperform the competition Infosys Recognized as one of the 2022 World s Most Ethical Companies for the Second Consecutive Year by Ethisphere What are we looking for Lead Machine Learning Engineer We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Retail CPG Logistics strong business and technical acumen along with excellent soft skills What do we require To work with clients to understand the issues they face diagnose problems design solutions and facilitate solution deployment on Azure ML One can be an individual contributor or lead small teams depending on the project You will be pivotal to understanding the requirement problem definition and discovery of the overall solution One will also have the opportunity to shape value adding consulting solutions for clients by connecting various functions of cloud components Industry knowledge Knows basics of machine learning is aware of cloud services Azure services has a deep understanding of coding practices knows how to guide teams on debugging the issues can connect the dots to arrivie at a solution and is very good at presentation of the ideas thoughts and solutions Key Responsibilities: Technical knowledge has expertise in cloud technologies specifically MS Azure and services with hands on coding to Expertise in Object Oriented Python Programming with 6 8 years experience DevOps Working knowledge with implementation experience 1 or 2 projects a minimum Hands On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment Azure Data bricks and Azure DevOps Setup Assist team to coding standards flake8 etc Guide team to debug on issues with pipeline failures Engage with Business Stakeholders with status update on progress of development and issue fix Automation Technology and Process Improvement for the deployed projects Setup Standards related to Coding Pipelines and Documentation Adhere to KPI SLA for Pipeline Run Execution Research on new topics services and enhancements in Cloud Technologies Domain Technical Tools Knowledge Object oriented programming coding standards architecture design patterns Config management Package Management Logging documentation Experience in Test Driven Development and experience in using Pytest frameworks git version control Rest APIs Python programming with OOPs concept SQL XML YAML Bash JSON Pydantic models Class based frameworks Dependency injections FastAPI Flask Streamlit Python Azure API management API Gateways Traffic Manager Load Balancers Nginx Uvicorn Gunicorn Azure ML best practices in environment management run time configurations Azure ML Databricks clusters alerts Experience designing and implementing ML Systems pipelines MLOps practices and tools such a MLFlow Kubernetes etc Exposure to event driven orchestration Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools e g SQL R Python High level understanding of database concepts reporting Data Science concepts Hands on experience in working with client IT Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ 900 Certification with Azure Architect Technical Requirements: Primary skills Technology OpenSystem Python OpenSystem Responsible for successful delivery of MLOps solutions and services in client consulting environments Define key business problems to be solved formulate high level solution approaches and identify data to solve those problems develop analyze draw conclusions and present to client Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication Assesses the target audience need prepares and practices a logical flow answers audience questions appropriately and sticks to timeline Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Education and Experience Overall 6 to 8 years of experience in Data driven software engineering with 3 5 years of experience designing building and deploying enterprise AI or ML applications with at least 2 years of experience implementing full lifecycle ML automation using MLOps scalable development to deployment of complex data science workflows Bachelors or Master s degree in Computer Science Engineering or equivalent Domain experience in Retail CPG and Logistics etc Azure Certified DP100 AZ AI900 Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->OpenSystem->Python - OpenSystem->Python

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.