
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.

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Review Criteria
- Strong Data Scientist/Machine Learnings/ AI Engineer Profile
- 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
- Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
- Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
- Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
- Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
- Preferred (Company) – Must be from product companies
Job Specific Criteria
- CV Attachment is mandatory
- What's your current company?
- Which use cases you have hands on experience?
- Are you ok for Mumbai location (if candidate is from outside Mumbai)?
- Reason for change (if candidate has been in current company for less than 1 year)?
- Reason for hike (if greater than 25%)?
Role & Responsibilities
- Partner with Product to spot high-leverage ML opportunities tied to business metrics.
- Wrangle large structured and unstructured datasets; build reliable features and data contracts.
- Build and ship models to:
- Enhance customer experiences and personalization
- Boost revenue via pricing/discount optimization
- Power user-to-user discovery and ranking (matchmaking at scale)
- Detect and block fraud/risk in real time
- Score conversion/churn/acceptance propensity for targeted actions
- Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
- Design and run A/B tests with guardrails.
- Build monitoring for model/data drift and business KPIs
Ideal Candidate
- 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
- Proven, hands-on success in at least two (preferably 3–4) of the following:
- Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
- Fraud/risk detection (severe class imbalance, PR-AUC)
- Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
- Propensity models (payment/churn)
- Programming: strong Python and SQL; solid git, Docker, CI/CD.
- Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
- ML breadth: recommender systems, NLP or user profiling, anomaly detection.
- Communication: clear storytelling with data; can align stakeholders and drive decisions.
Job Description: .NET Core Developer with C# and Angular
We are looking for a skilled .NET Core Developer with experience in C# and Angular to design, develop, and maintain web applications. You will work on both the front-end and back-end, delivering high-quality solutions in a collaborative environment.
Key Responsibilities:
- Develop and maintain web applications using .NET Core, C#, and Angular.
- Design and implement RESTful APIs and integrate with front-end components.
- Ensure application performance, scalability, and security.
- Collaborate with cross-functional teams to define and deliver software features.
- Troubleshoot, debug, and optimize code.
Share Cv to
Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three
We are looking for A highly skilled Full Stack .NET Developer with strong hands-on experience in C#, .NET Core, ASP.NET Core, Web API, and Microservices Architecture. Proficient in developing scalable and high-performing applications using SQL Server, NoSQL databases, and Entity Framework (v6+). Recognized for excellent troubleshooting, problem-solving, and communication skills, with the ability to collaborate effectively with cross-functional and international teams, including US counterparts.
Net Developer & API Expert
Position Summary:
We are looking for .Net Developers who are also Experts in API Integrations to join our development team and participate in different established projects.
We are looking for proactive, team players who are passionate about programming in this language and focused on providing the best experience to the end user.
This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry! These developers will face numerous technical challenges.
Essential Functions and Responsibilities:
· Work on projects in the C#, .NET CORE and entity frameworks
· Validate data with Postman, JSON, and basic SQL queries
· Unit Testing
· Write RESTful APIs (Core Web API)
· Writing clean/maintainable code
· MSSQL Server (Familiar with MongoDB, preferred but not required)
· Understand best practices and commit to follow them
· Work on new and difficult topics and contribute to libraries when needed
Knowledge, Skills, and Abilities:
· Fluent in English
· Strong knowledge of OOPs concepts
· Knowledge of the Linux Operating System
· Strong problem-solving, design, coding and debugging skills.
· Knowledge about Git and Version Control
· Preferred to have knowledge of Microservices Architecture (Not mandatory)
- Design and build advanced applications for the Android platform
- Collaborate with cross-functional teams to define, design, and ship new features
- Work with outside data sources and APIs
- Unit-test code for robustness, including edge cases, usability, and general reliability
- Work on bug fixing and improving application performance
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency
IT experience in analysis, design, development, documentation, implementing, and testing of software systems in Java, Spring Boot, Hibernate, and Internet technologies.
- Spring Boot includes real-world experience working with Microservices Architecture, Plugin Services.
- Strong experience in Spring Frameworks such as Spring MVC, IOC, AOP, and Spring JDBC.
- Strong knowledge of the DevOps, AWS Environment, Code Versioning - Strong hands-on experience with Spring IO, Spring Boot with Thyme leaf.
- Experience in implementing Java EE design patterns such as MVC, Singleton, Session Façade, DAO, DTO, and Business Delegate in the development of Multi-Tier distributed Enterprise Applications.
- Good experience in developing Web Services SOAP, JAX-WS, WSDL.
- Experience in core Java-Multithreading, collections, Servlets and JDBC.
- Strong knowledge on RDBMS concepts and broadly worked Postgres, MySQL technologies such as MongoDB
- Experience in designing front-end technologies like ReactJS will be an add-on
- Hands-on experience with build and deployment tools including Ant / Maven, logging and Debugging using Slf4 and Log4j, and unit and integration testing using JUnit.
- Experience with Use-Case design, Class, and Sequence diagrams using UML.
- Excellent team player with good analytical, strategic planning, and interpersonal and communication skills. Highly motivated, enthusiastic, and self-starter.
You will:
- Write excellent production code and tests and help others improve in code-reviews
- Analyze high-level requirements to design, document, estimate, and build systems
- Coordinate across teams to identify, resolve, mitigate and prevent technical issues
- Coach and mentor engineers within the team to develop their skills and abilities
- Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes
You have:
For (Fullstack):
- 2 - 10 Years of experience
- Strong with DS & Algorithms
- Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
- Experience with AWS.
For (Geo Team):
- 4 - 10 years of experience
- Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
- Experience using object-oriented languages (Java, Python)
- Experience in working with different AWS technologies.
- Experience in software design, architecture and development.
- Excellent competencies in data structures & algorithms.
For (Backend):
- 2 - 10 years of experience
- Hands on product development experience using Java/ C++/Python
- Experience with AWS,SQL,GIT
- Strong with Data structures and Algorithms
Additional nice to have skills/certifications:
For Java skill set:
Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl
For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift
For (Data Engineering):
- 2 - 10 years of experience
- Experience with object-oriented/object function scripting languages: Python.
- Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
- Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
- Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
- Experience with Amazon Web Services and Dockers
Good understanding of Java Programming language
- Hands-on experience in the full life cycle of Android application development
- Strong knowledge in RESTFUL web services
-Sound Knowledge of Android SDK's- Having a strong knowledge of building UI
- Having an understanding of working with third-party libraries
- Tools : Android Studio, Eclipse
-Good to Have : Knowledge and understanding of Kotlin
We are a communication and social media marketing agency based in Ahmedabad.
We are looking for a content writer having a mix of witty writing skills as well as someone who can strategize the communication for a brand.
Pls send us your resume
Looking forward to adding one more to the entire team of digital cranks and ethical thinkers.
With You
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