Machine Learning (ML)
Python
Docker
Git
Amazon Web Services (AWS)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Experience : 5+ Years
Location : Gurgaon (Onsite)
Type : Full-Time
Work Schedule : 5 Days Working
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We are looking for an experienced ServiceNow Analyst - to manage and optimize the Configuration Management Database (CMDB), Discovery, and Service Mapping processes.
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About the Company:
MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement without fragmented tools or increased headcount.
About the Role:
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What You’ll Gain:
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Department : Sales
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l Understand the business and the potential
l Analyzing market and sales information
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l Set and track sales targets for team
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Overall : 4 - 6 yrs
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l Sales Matrix
l B2B Product Sales experience is mandatory
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l Campaign management and active followup experience is must.
l Sales Techniques
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l Excellent Communication Skills
l Conceptual Skill
l Analytical Ability
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BA, B.Com, BBM, Non tech is preferred
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Develop and maintain high-quality stored procedures.
Write low cost, high-quality database queries and code while maintaining data quality, privacy, and security
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Optimize database queries and ensure table locking/deadlocks happen in production.
Optimize large, complicated SQL statements & Stored Procedures.
Cost optimization of Amazon instances using databases.
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NodeJS (Node.js)
Javascript
Django
React.jsWork Location: Hyderabad
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Product Based Company
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Spring BootMust have experience / knowledge in Cluster Management Frameworks(e.g., Spark), Kafka,ElasticSearch, Docker, Kubernetes and database, build-and-test(preferred).
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Working Geographies: International
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We are seeking to hire a Media Relations & Communication Executive who will be
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Who We Are
We build innovative technology everyday!
Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs.
Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you.
You Will Enjoy
Our start-up environment - fun, casual, informal, family & pet-friendly! Ours is a highly energized playground where brilliant minds come together to make bold, impactful decisions every day! Needless to say, we have excellent filter coffee and health drinks round the clock, lunch buffets, PS4 and Foosball breaks and a stocked kitchen.
We play to win and have fun doing it! We work to engage your brain by organizing brilliant TechTalks by industry leaders and frequent high-on-energy hackathons and engage your crazy fun-side at our well-planned retreats. We are a highly eco-conscious team and we encourage and support our team’s physical & mental wellbeing.
All these and a great set of people to work with - We Are Crediwatch!
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Full Stack Developer - Averlon