
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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Role- SDET Lead Engineer
Job Overview: We are looking for a highly skilled Software Development Engineer in Test (SDET) with proven experience in product development and the financial services domain.
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- Bachelor’s / master's degree, in IT OR Computer Science strongly preferred.
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Digital Marketing Expert - B2B ABM & Performance
About ProductNova:
ProductNova is a fast-growing product development startup. We are a team of Product and Business Growth Experts enabling organizations in building new Product Portfolios, Transform into Product organizations, Identify business opportunities, Innovate and Scale Businesses.
For early-stage organizations and startups, we shape ideas into products, identify the right customer base and product market fit, define the product, provide marketing and sales enablement, plan the GTM, launch, iterate and scale.
For established organizations, we Transform them into product organizations, identify business & product areas to scale and help revamp the products across new regions and customer segments. We enable innovation, build new product portfolios and help grow the businesses Exponentially.
We are also building our own B2B SaaS Products
The Role:
As a Digital Marketing Expert at ProductNova, you will play a pivotal role in shaping and executing comprehensive digital marketing strategies to drive product and business growth. You will be responsible for driving marketing campaigns across channels and growing our business.
Key Responsibilities:
B2B SaaS Marketing Expertise: Lead generation, SEO, PPC, CRM tools, ABM, and data-driven campaigns. Excellence in aligning sales strategies, customer journey mapping, and delivering measurable growth through innovative marketing.
ABM And Performance Marketing: Identify, source and nurture high-value accounts, crafting personalized campaigns, optimizing paid channels, and measuring ROI across digital touchpoints. Align marketing with sales to accelerate pipeline and deliver scalable, impactful campaigns that balance brand visibility with revenue-focused outcomes.
Lead Generation: Build and optimize B2B and B2C Lead gen pipeline for ProductNova and its clients for their respective products and services across channels.
Digital Marketing Strategy: Formulate and execute robust digital marketing strategies aligned with ProductNova, our partner objectives and overall business goals. Tweak and optimize existing strategies to grow revenue 2X.
Campaign Management: Oversee the end-to-end management of digital marketing campaigns, ensuring seamless execution and optimization for maximum ROI. Utilize data-driven insights to continuously refine and enhance campaign performance.
Channel Expertise: Demonstrate expertise across various digital marketing channels, including but not limited to Meta, Google, SEO, SEM, social media, Email marketing, and Content marketing. Identify new and emerging channels to explore and incorporate into the overall marketing mix.
Analytics and Reporting: Implement robust analytics frameworks to measure and analyze the performance of digital marketing campaigns.
Qualifications:
- Any professional degree/MBA in Digital marketing.
- Min 2 yrs+ experience in B2B Digital marketing with a focus on product and business growth.
- Strong leadership skills with the ability to motivate a high-performing team.
- In-depth knowledge of digital marketing channels, tools, and analytics platforms.
- Exceptional analytical and problem-solving abilities.
- Excellent communication and interpersonal skills.
If you are a results-driven digital marketing professional with a passion for driving business growth, we invite you to join our dynamic team at ProductNova.
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About the Company: Among top five global media agencies. we provide access and scale everywhere our clients do business. Intelligent and imaginative, we create, integrate and scale technology-enabled services with premium partners
Job Location :Mumbai
Roles and Responsibilities
- Devising solutions for the client by identifying and configuring the technology, data and processes that improve media targeting, and deepen analytical learning. This can encompass comprehensive audits of a client’s current setup, as well as leading data and tech partner evaluations, and defining measurement frameworks to capture the most valuable signals
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- Maintain strong, effective relationships with key partners and suppliers within the ad/mar-tech data space
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Required
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- Strong analytical skills and a natural affinity for numbers is key; You must be able to analyze raw data, draw insights and develop actionable recommendations as needed
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- Strong organizational skills, including experience with resource management, to effectively manage smooth flow of work through agency
Regards
Team Merito
knowledge of Java and Spring.
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• Kubernetes, Docker, Helm
• Message/Streaming Technologies: Kafka, Kinesis, JMS, etc
• Unix Shell Scripting
• Microservices Architecture
• AWS, GCP, or Azure
• Experience in modern software development methodologies and technologies:
Scrum, Jira, Git
• Ability to handle full application development cycle from requirements to
production.
• A dedication to positive team collaboration
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Experience Range 3 to 6 years.
Please share your details like notice period years of experience in automation and then apply.
Skills Require Automation Testing, Java or Python,web and mobile testing.
**Immediate to 15 days. joiners are preferred.
Who are currenlty serving notice can also apply.**










