Lead- Influencer Marketing

·        5+ years of experience in QA engineering, with significant focus on mobile application testing (iOS + Android).

·        Strong command of test automation frameworks such as Selenium, Appium, Playwright, or similar.

·        Solid understanding of CI/CD pipelines, build systems, and QA integration with DevOps.

·        Hands-on experience with creating test plans, test cases, and test data for end-to-end mobile applications.

·        Strong analytical, debugging, and problem-solving skills.

·        Experience working in fast-paced startup or high-growth environments.

·        Excellent communication and cross-functional collaboration skills.

·        Availability to work on-site in Ahmedabad.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

HCM Program Manager

Experience- 10-15 years

Locations- Bangalore & Chennai

• Deep functional knowledge (especially in HCM core modules including the above mentioned three modules) having done 4-6 implementations across industries,  
• Understands best practices and can lead solutioning,
• has good understanding of the tech involved,
• Speaks the HR lingo and can build confidence and trust among HR managers/CHRO
• Excellent communicator and leader
• 12-15 years of relevant experience with at least 6 in HCM implementation. Domain experience in HR function can be an advantage if in multinational organizations in any industry, or in evolved IT services companies 

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

About Us :

Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such as PayU, Arbor and Hitachi and backed by Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning you will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities :

• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

Skills / Requirements :

• Minimum 3+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

Job Description:

• Building reusable components.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Understanding of ESLint and react pattern.
• Responsible for development of new highly-responsive, web-based user interface
• Construct visualizations that are able to depict vast amounts of data
• Work and collaborate with the rest of the engineering team
• Learn and understand user interactions
• Develop a flexible and well-structured front-end architecture, along with the APIs to support it

Skills and Experience

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows and data structure libraries
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools such as Git

Experience 2 years

Location: Mohali (Chandigarh)

Salary: 4-6 LPA

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.