We are seeking an enthusiastic Email Marketing Executive to join our digital marketing team. In this role, you will be responsible for generating high-quality leads for SEO, social media marketing, and website design & development services, specifically targeting the US and Canada markets. Your goal will be to drive lead generation efforts that contribute to increased sales revenue for the company.
Key Responsibilities
· Generate potential client through email or LinkedIn.
· Basic understanding of SEO and how it intersects with email marketing
· Must have worked on email marketing template creation, sending bulk emails.
· Managing the contact database and assist with lead generation activities.
· Have to target the USA, Canada market.
· Should have knowledge about emailing.
Experience: 0.6 – 4 years
Skills:
· Minimum high school diploma in any stream.
· At least 6 months of experience working in a digital marketing company.
· Proficiency in generating leads for SEO, Social Media Marketing, and Website Design and Development services.
· Experience in lead generation specifically targeting audiences in the US, Canada, and UK markets.
Working Days: Monday-Friday
Job Type: Full-time
Education: Secondary(10th Pass) (Preferred)
Shubham Vishwakarma
Full Stack Developer - Averlon
About Thynk Google Media
About
Thynk Google Media is a dynamic digital marketing agency dedicated to helping brands grow online with innovative, results-driven strategies. Our team specializes in SEO, social media marketing, content creation, PPC advertising, and website management, tailoring solutions to each client’s unique goals. We focus on maximizing ROI and enhancing brand visibility across digital channels, consistently delivering impactful results. With an emphasis on transparency, data-driven strategies, and customer-centric approaches, Thynk Google Media partners with clients to build lasting digital success.
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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:
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- 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:
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CTC: up to 20 LPA
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- Good analytical, problem-solving, and communication skills.
Nice to Have:
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- Knowledge of Functional EWM processes.
- Experience in Agile / DevOps environments.
If interested kindly share your updated resume on 82008 31681
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Analyze data on a monthly, quarterly, and annual basis regarding recruitment and
attrition
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Track recruitment costs on a regional and global basis
Work closely with Finance team to monitor global recruitment budget costs and new
hire/attrition pipeline
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Assist HR team with various data projects, as requested
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- Excellent troubleshooting skills.
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Location: Patna/Jaipur (Work from Home)
Salary: As per market standards
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Full Stack Developer - Averlon