BOLD is seeking a senior professional to implement and run Testing and Quality Assurance specifically designed for AI-driven products and Data Science workflows. In this role, you will bridge the gap between traditional software testing and modern machine learning evaluation. You have a great team management and organizational skills. You’ll have a broad mastery of capabilities, techniques, technologies and tools in the Testing and QA domains. You’ll be handling QA teams of various sizes and expertise.

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 up to to date with technology.

WHAT YOU’LL DO 

• Develop and own the QA strategy for AI-driven features, focusing on model accuracy, data drift, and performance metrics (Precision, Recall, F1-score).
• Implement state-of-the-art AI tools (e.g., GitHub Copilot, or custom LLM agents) to automate test case generation, code analysis, and synthetic data creation.
• Oversee the testing of Generative AI outputs, implementing "LLM-as-a-judge" frameworks to evaluate hallucination rates, toxicity, and prompt adherence.
• Develop and own BOLD’s quality framework from product development through to production
• Should be able to drive the initiatives (both Business and QA) in his area along with needed smooth coordination across the board to ensure a timely achievement of goal.
• Take part in Requirement Analysis, Sprint planning, Bug triage meetings.
• Liaise with product, development, and infrastructure teams to collaborate on delivery of high quality, high performance, and high availability applications
• Develop quality scripts with needed coverage to ensure defect free releases.
• Manage and mentor team members to maximize output and efficiency and promote a team culture of quality and fun
• Motivate, Encourage, Guide Teams maintaining equilibrium and satisfaction level.
• Give technical/logical solutions to problems faced by the teams and remove hurdles blocking releases.
• Evaluate and suggest new tools and technologies

WHAT YOU’LL NEED

• Solid understanding of the Machine Learning lifecycle (EDA, Training, Evaluation, Deployment).
• Experience using LLMs (GPT, Claude, Llama) and AI-coding assistants to accelerate the testing lifecycle.
• Experience in a high volume, high throughput web/ecommerce environment.
• Hands-on experience with UI/API automation (Selenium, Playwright, or Cypress) integrated with AI-driven healing capabilities.
• Experience with web service technology like XML, REST, SOAP
• Knowledge on any of the query language like SQL, JQL etc.
• Experience in testing complex web and mobile apps.
• Strong application architecture and technical knowledge
• Strong knowledge of web concepts, including web performance infrastructure.
• Able to play the role of a scrum master, with strong coordination skills
• Knowhow of basic UX standards, SEO/ SEM concepts and key tracking matrices
• Strong communication skills 

EXPERIENCE- 

• Module Lead, QA (AI/ML & Automation)- 5 years+

BOLD is seeking a Technical Lead Specialist who can understand functional, technical & architectural views and has the ability to translate them into a low-level technical design for the developers. The successful candidate will be expected to work with the Engineering Manager and to interact with the technical architect of the program to achieve these goals. In addition, your role will be to mentor developers and contribute towards best practices and standards. 

Our SDETs work with Product Managers and Dev Teams to understand features and technical implementation and ensure our sites, products, and platforms perform to industry-beating quality. 

ABOUT THIS TEAM

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

WHAT YOU’LL DO

• Excellent Object-Oriented coding practices, Refactoring, Clean Code, merging, etc. 
• Follow and recommend design principles and best practices for QA automation. 
• Able to develop and maintain test automation framework as per project requirements. 
• Understand automation test plans, product architecture, and domain in detail. 
• Solution-providing approach for technical queries and help/mentor test automation team. 
• Should be able to develop components that are extensible to test tools. 
• Hands-on experience in PoC solutions for automation and can demonstrate. 
• Excellent communication skills and ability to work independently with multiple tasks. 
• Test cutting-edge applications and products at the user level and code level 
• Be able to understand the software internals, debug issues, and write automated tests with scripting and automation tools 
• Assist in implementing and maintaining a Continuous Integration Solution 
• Contribute and/or own the development of high-quality test automation 
• Create and enhance backend automation tests and test tools 
• Ability to extend API automation framework to the next level 
• Work efficiently in a multi-project agile environment 
• Have to involve in performance, security, and scalability testing efforts 
• Write specialized testing tools for use in testing our software platform 
• Participate in test design and code reviews 
• Excellent debugging skills, measures, and analyses code for quality. 

 WHAT YOU’LL NEED

• At least 2 years of experience with search platforms such as Solr and modern search architectures. 
• Working knowledge of vector databases and semantic search solutions (e.g., Azure AI Search, Pinecone, or equivalent tools). 
• Strong understanding of Large Language Models (LLMs) and their application in search, relevance, and matching use cases. 
• Familiarity with ranking and re-ranking concepts and algorithms, and how they impact search quality and relevance 
• Have 5-7 years of experience in API Test Automation using Karate, Rest Assured, Cucumber, Java, BDD, or any other tool. 
• Strong knowledge of scripting languages like Core Java, C#, Python, etc.  
• Experience with source code controls like SVN, GIT, or CVS. 
• Exposure to Test and Defect Management Tools like JIRA, Trail, Zephyr, etc. 
• Experience with one or more database technology (SQL, NoSQL, Mongo, Solr) 

EXPERIENCE:  

• Lead SDET- 7 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll 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

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 YOU’LL DO 

• Demonstrate ability to work on data science projects involving predictive modelling, NLP, 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 

WHAT YOU’LL 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.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Should have done one or more projects involving fine-tuning with LLMs 
• 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.    

EXPERIENCE- 

• Software Engineer- 2.5 years+
• Senior Software Engineer-4.5 years+

#LI-SV1

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll 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. 

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 YOU’LL 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. 
• Evolve prompt engineering applications and benchmark different Large Language models to solve business problems.                  
• Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. 
• Implement and experiment with agentic workflows to improve the job seeker experience. 
• Rises above detail to see broader issues and implications for whole product/team.  

WHAT YOU’LL NEED

• Should be able to handle a team of 2-5 members, if required. 
• 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 with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience in using large language models. 
• Experience with distributed, semantic and vector based search and match systems.  
• Experience with prompt engineering, chain-of-thought, retrieval augmented generation, vector databases and preferably LLM agents. 
• Experience in feature selection, building and optimizing classifiers. 
• Experience with software stack components, including common programming languages, back-end technologies, database modelling, continuous integration, services-oriented architecture, software testability, etc. 
• Langchain and/or Llamaindex. 
• Be a keen learner and enthusiastic about developing software. 
   

EXPERIENCE- 

• Project Lead, Data Science- 8 years+

#LI-SV1

BOLD is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll 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

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 YOU’LL 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 YOU’LL 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.  
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design. 
• Experience with Solr/OpenSearch/Elasticsearch .
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Experience with embedding & vector search  
• Experience in using large language models. 
• 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.  

EXPERIENCE- 

• Module Lead, Data Science- 5.5 years

#LI-SV1

BOLD is seeking for the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll 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

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 YOU’LL DO 

• Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs. 
• Responsible for converting business requirements into robust data science algorithms. 
• Responsible for providing technical leadership to a team of data science engineers. 
• Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.  
• 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. 
• Responsible for creating model validation framework. 
• Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data. 
• Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams. 
• Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation. 
• Assess, inspire and motivate a high performing team of data science professionals. 

WHAT YOU’LL NEED

• Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution. 
• Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods. 
• 10+ yrs of working experience in MLData science with NLP background  
• Experience with frameworks that optimizes prompt engineering (langChain/crewai/etc) 
• Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus. 
• Practical LLM/RAG experience for search quality  such as  query understanding, semantic retrieval, reranker design .  
• Experience with Solr/OpenSearch/Elasticsearch … 
• Experience with embedding & vector search  
• Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch). 
• Experience in leading a team of 3-5 data scientists. 
• Experience using tools to deploy models into the production environment such as Jenkins 

 EXPERIENCE- 

• Engineering Manager, Data Science- 10 years+

#LI-SV1

BOLD is seeking for QA professional who will work directly with the BI Development team to validate Business Intelligence solutions. He will build test strategy and test plans and test cases for ETL and Business Intelligence components. He will also validate SQL queries related to test cases and produce test summary reports. 

ABOUT THIS TEAM

BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization's BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc.

BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations.

WHAT YOU’LL DO

• Work with Business Analysts, BI Developers to translate Business requirements into Test Cases  
• Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables.  
• Designing, documenting and executing test plans, test harness, test scenarios/scripts & test cases for manual, automated & bug tracking tools. 

WHAT YOU’LL NEED

• Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool 
• Extensive experience in writing and troubleshooting SQL Queries using any of the Databases – Snowflake/ Redshift / SQL Server / Oracle 
• Exposure to Data Warehousing and Dimensional Modelling Concepts  
• Experience in understanding of ETL Source to Target Mapping Document  
• Experience in testing the code on any of the ETL Tools 
• Experience in Validating the Dashboards / Reports on any of the Reporting tools – Sisense / Tableau / SAP Business Objects / MicroStrategy  
• Hands-on experience and strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). 
• Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum.  
• Well versed with writing detailed test cases for functional & non-functional requirements. 
• Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. · Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the  
• Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage 
• An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects 

EXPERIENCE- 

• QA Engineer, BI: 2.5 years+
• Senior QA Engineer, BI: 4.5 years+

#LI-SV1

Bold is seeking a Devops professional who owns production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Architect and productionize microservices with advanced DevOps pipelines , partnering with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
• Design comprehensive observability frameworks to minimize MTTR and ensure24x7platform reliability.
• Engineer secure, automated CI/CD workflows with governance and compliance controls
• Lead 24x7 on-call engineering, CDN & security hardening and cost optimization strategies IAAS & PAAS in Cloud
• Manage infrastructure operations, production deployments, and hybrid cloud environments.
• Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations

WHAT YOU’LL NEED

• 4.5+ years (Sr. Engineer) / 7+ years (Module Lead)AWS/DevOps production experience
• Scripting: Python/Bash/Groovy/Java(CI/CD, EKS, FastAPI/Spring Boot)
• CI/CD: Jenkins (declarative pipelines, Groovy),Spinnaker, CodePipeline /CodeBuild, Gradle, Maven, Artifactory, GitHub Actions
• IaC:Terraform, AWS CloudFormation
• Containers: EKS + Istio/ Gloo/ Karpenter, ECS, Docker, Buildah
• AWS: VPC/IAM/GuardDuty/AWS Config, S3/ DynamoDB /Lambda /SageMaker /EMR, cost optimization
• Observability: Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor
• GitHub: Actions automation, branch/PR governance
• DNS management (NS1/Cloudflare/GoDaddy)

EXPERIENCE-

• Sr. Engineer Devops AWS (Automation)- 4.5 years+

BOLD is seeking for .Net professional, you will be a member of the product or platform development team that develops, customizes and support our various web-based products or services to meet the growing business needs.  

Your role will be to design and develop the layers of our applications, and to work in collaboration with other teams. A commitment to collaborative problem solving, sophisticated design, and quality product is essential. We're looking for someone who has a passion for software development and using the best of new and emerging technologies to create revenue generating software products in a deadline driven environment. 

ABOUT THIS TEAM

BOLD Platform services team design, creates, manage and maintains the highly scalable and distributed services for the wider use of web and mobile product applications/portals/websites. The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments.

Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

WHAT YOU’LL DO

• Develop, test and deliver high quality, clean and maintainable code. 
• Translate application storyboards and use cases into functional applications. 
• Develop applications with strong requirements of High Load and Scalability. 
• Collaborate with business teams to understand the objectives. 
• Design, build, and maintain efficient, reusable, and reliable code. 
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. 
• Help maintain code quality, organization, and automatization. 

 WHAT YOU’LL NEED

• Excellent experience in object-oriented programming language (C#.) 
• Understanding of MVC is beneficial 
• Hands on experience in RDBMS (SQL Server etc.) 
• Experience in WEB API, SOLID Principle. 
• Experience of design patterns and practical implementation knowledge 
• Experience of ORM tools. 
• Familiarity with n-tier environment 
• Good analytical and problem solving skills 

EXPERIENCE:  

• Senior Software Engineer- 4.5 years+
• Module Lead- 5.5 years+

#LI-SV1

BOLD is seeking for Devops professional to own the production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

ABOUT THIS TEAM

Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization.

WHAT YOU’LL DO

• Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. 
• Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. 
• Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. 
• Manage data/feature stores and search infrastructure for scalable ML inference. 
• Automate CI/CD for ML models and infrastructure with governance and security compliance. 
• Handle security patching, cost optimization, and 24x7 on-call rotations for critical services. 
• Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes.​ 

WHAT YOU’LL NEED

• 4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search). 
• Python/Bash scripting for CI/CD, provisioning, monitoring of  FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). 
• AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). 
• Strong Linux and networking fundamentals;  
• Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).​ 

EXPERIENCE-

• MLOps Sr. Engineer, DevOps - 4.5+ years 

#LI-SV1