Job description
- Develop and lead the lead generation strategy
- Manage PPC campaign budget and continuously optimize for best results.
- Recruit and lead a team of paid search specialists to manage our different campigns
- Monitor the performance of our PPC accounts and plan out advertising campaigns based on seasonality, competitor activities, product availability, and more
- Analyze PPC performance across campaigns, accounts, website, and channels
- Maintain strong keyword lists to capture opportunities to the fullest
- Create PPC campaigns from scratch when new programs are launched
- Identify the need to create and modify landing page content for the best user experience, and generate keyword-focused content for the landing page
- Conduct A/B testings with ad copies, landing pages, images, and more
- Monitor the market trends for paid search
- Anything else as assigned

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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:
- 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.
Calling new & Existing clients.
Responsible for making outbound calls and regular follow up on leads assigned.
Selling Membership over the phone and achieve the targeted sales numbers & value, set quality parameters
Understand the Customer requirements, encourage them to upgrade / renew the packages.
Cold calling for Business Development.
Candidate must have good communication skills.
Candidate must be presentable.
Can Join Immediately.
Job Title: Business Analyst – Fintech Domain (Mumbai Only)
Location: Mumbai, India
Experience: 5 to 10 Years
Domain: Fintech (Commodity domain exposure will be provided)
Education: Graduate/Postgraduate from a Premium Institute (Tier 1 preferred)
About the Role:
We are looking for an experienced Business Analyst with 5–10 years of proven experience in the Fintech domain. This role is ideal for candidates who have a strong foundation in business analysis and are keen to be groomed into the Commodity domain. You will work closely with cross-functional teams to drive bespoke application development and deliver high-quality, domain-aligned solutions.
Key Responsibilities:
- Collaborate with stakeholders to gather, analyze, and document detailed business and functional requirements.
- Work on bespoke application development – from requirement elicitation to testing and go-live support.
- Translate business needs into functional specifications and user stories.
- Participate in solution design, data mapping, and system integration discussions.
- Conduct UAT planning, execution, and post-production validation.
- Continuously identify process improvement opportunities and recommend solutions.
Required Skills & Qualifications:
- Bachelor's/Master’s degree from a Premium Institute (Tier 1 background preferred).
- 5–10 years of relevant experience as a Business Analyst in Fintech/Banking/Financial Services.
- Strong understanding of BA processes – requirement
Location Constraint:
- Only candidates currently based in Mumbai will be considered.
- Profiles from Pune or other locations will not be entertained.
Hiring for Big4 Company'
GCP Data engineer
GCP - Mandate
3-7 Years
Gurgaon location
only serving candidate or immediately Joiner can apply
Notice period - less than 30 Days
We are seeking a dynamic Digital Marketing Executive/Manager to join our team. The ideal candidate will have at least 1 year of hands-on experience in digital marketing Specially in Social Media, Face book and Google Ads. And will be responsible for planning, executing, and monitoring our digital marketing campaigns. This role is perfect for someone who is passionate about leveraging digital platforms to drive business growth and enhance brand presence.
Skills & Abilities:
• Good Knowledge Of Google Ads / Facebook Ads And Social Media Marketing.
• Manage social media campaigns and create engaging content.
• Develop and implement digital marketing strategies to drive online traffic and engagement
Key Responsibilities:
• Run and optimize PPC campaigns and analyze ad performance.
• Manage and maintain social media profiles (e.g., Facebook, Instagram, Google).
• Online Advertising: Launch optimized online advertisements through platforms like Google
AdWords and Facebook to enhance company and brand awareness.
• Lead Generation: Design and implement lead generation campaigns through platforms such as
Google Ads and social media focusing on home buyers.
Required Qualifications
Experience:
· Minimum of 1 year in digital marketing with proven experience executing digital campaigns.
Educational Background:
· Bachelor’s degree in Marketing, Business, Communications, or a related field (or equivalent experience).
· Technical Proficiency:
· Familiarity with digital marketing tools such as Google Analytics, SEO tools, email marketing platforms, and social media management software.
Skills:
· Excellent communication skills, a creative mindset, strong analytical abilities, and a proactive approach to problem-solving.
Adaptability:
· Comfort in a fast-paced environment with the ability to manage multiple projects simultaneously.
Application Process
· Interested candidates should submit their resume along with a cover letter outlining their experience and why they are a good fit for this role. We look forward to reviewing your application!
Responsibilities:
• Collaborate with cross-functional teams to design, develop, and deliver robust and scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Translate user requirements and wireframes into ecient and responsive front-end components while ensuring high performance and usability.
• Develop and maintain server-side logic using Node.js and Express.js, ensuring smooth integration with the front-end components.
• Design and implement data models, schemas, and queries for MongoDB, and manage database interactions effectively.
• Write reusable, testable, and efficient code following best practices and coding standards.
• Perform unit and integration testing of both front-end and back-end components to ensure reliability and quality of the application.
• Troubleshoot, debug, and resolve issues that arise during development, testing, and deployment phases.
• Stay up-to-date with industry trends and technologies, and proactively suggest improvements to enhance application performance, security, and maintainability.
• Participate in code reviews, provide constructive feedback, and mentor junior developers when necessary.
• Contribute to the continuous improvement of development processes, tools, and methodologies.
Java Developer Job Description -
Position - Java Developer
Skills - Java, Spring boot
Experience - 6-8yrs
Notice Period - 0-20 Days
Location - Bangalore
Proven graphic designing experience -
• A strong portfolio of illustrations or other graphics
• Familiarity with design software and technologies (such as Adobe XD, Illustrator, Dreamweaver, Photoshop)
• A keen eye for aesthetics and details
• Excellent communication skills
• Ability to work methodically and meet deadlines
• Degree in Design, Fine Arts or related field is a plus
Job Description :-
- Have intermediate/advanced knowledge of Python.
- Hands-on experience with OOP in Python. Flask/Django framework, ORM with MySQL, MongoDB is a plus.
- Must have experience of writing shell scripts and configuration files. Should be proficient in bash.
- Should have excellent Linux administration capabilities.
- Working experience of SCM. Git is preferred.
- Should have knowledge of the basics of networking in Linux, and computer networks in general.
- Experience in engineering practices such as code refactoring, design patterns, design driven development, Continuous Integration.
- Understanding of Architecture of OpenStack/Kubernetes and good knowledge of standard client interfaces is a plus.
- Code contributed to OpenStack/Kubernetes community will be plus.
- Understanding of NFV and SDN domain will be plus.
4+ years of experience working in a relevant software engineering role.
Expertise in designing highly-scalable and performant micro-services and storage layers using common frameworks, languages, and infrastructure (e.g. Java, MySql, AWS, Docker).
Experience in frameworks such as Spring Framework, Spring Boot and Hibernate.
Familiar with front-end languages like Javascript with toolkits like Angular.js 4+
Experience in implementing and deploying micro-services in Cloud (eg: AWS).
Experience in CI/CD tools such as Kubernetes.
Experience in version control tools such as GIT, GitHub and BitBucket.
Familiar with testing frameworks such as JUnit, Selenium.
Familiarity with web security a plus.
SaaS /Internet company background: web-based, hosted on AWS.
Experience in an Agile and Scrum environment.
Experience working for a rapidly scaling start-up.
Comfortable with the web engineering lifecycle.
Passion for delivering high-quality web functionality with quick turnaround times.
Comfortable working in a fast-moving team environment.
Data-driven and strongly motivated by success and learnings through experiments and metrics analysis.
Responsibilities:
Design and implement scalable systems and infrastructures.
Measure your work thoroughly, analyze results and generate hypotheses to drive new product changes through A/B testing.
Setup monitoring and testing of your APIs and services to better understand real time health of your products.
Break-down complex problems into solvable pieces of work for other engineers.
Depending on your specialization, projects/initiatives may include: Security, scaling distributed systems, working on our core services related to user management, building out new verticals, guiding new engagement features, scaling traffic/imports/exports, managing APIs.











