Full Stack Engineer (Mid–Senior) – Enterprise AI Platforms

Job Description

Job Title: Digital Marketing Team Lead

Company: Web Digital Mantra IT Services Pvt Ltd

Location: Kumaraswamy Layout, Bengaluru

Employment Type: Full-Time

Salary Package: ₹4 LPA – ₹5 LPA

Kannada speaking candidates preferred.

About the Company

We are a fast-growing IT services company specializing in Website Development, Software & Mobile App Development, ERP, CRM & Billing Software, along with Digital Marketing Services such as SEO, Google Ads, Meta Ads, and Social Media Marketing. We work with schools, colleges, SMEs, startups, and enterprises to deliver scalable digital solutions.

Key Role

• We are looking for a dynamic and result-oriented Digital Marketing Team Lead to join our growing team at Web Digital Mantra IT Services Pvt Ltd. The ideal candidate should have strong experience in team handling, client coordination, and digital marketing strategy execution.
• The candidate will be responsible for leading the digital marketing team, managing client communication, overseeing campaigns, and ensuring successful delivery of marketing projects across multiple digital platforms.

Key Responsibilities

• Lead and manage the digital marketing team to achieve campaign goals and business targets
• Coordinate with clients to understand requirements, provide updates, and maintain strong professional relationships
• Plan, execute, and monitor digital marketing campaigns across various channels
• Handle SEO, social media marketing, paid campaigns, content marketing, and lead generation activities
• Track campaign performance using analytics tools and prepare performance reports
• Ensure timely project delivery and maintain quality standards
• Collaborate with the design, content, and development teams for campaign execution
• Conduct market research and competitor analysis to improve marketing strategies
• Mentor team members and support their professional development
• Manage online brand presence and improve customer engagement

Required Skills

• Strong leadership and team management skills
• Excellent client handling and communication abilities
• Knowledge of SEO, SEM, Google Ads, Meta Ads, and social media marketing
• Experience in campaign planning and performance analysis
• Familiarity with digital marketing tools such as Google Analytics, Search Console, Canva, CRM tools, etc.
• Strong problem-solving and multitasking skills
• Good presentation and reporting abilities
• Ability to work in a fast-paced environment

Preferred Qualifications

• Bachelor’s degree in Marketing, Business Administration, Communications, or related field
• 2–4 years of experience in Digital Marketing
• Prior experience in team leadership or client coordination is preferred

Benefits

• Provident Fund (PF) provided
• Employee Insurance provided
• Career growth opportunities
• Supportive and collaborative work environment
• Exposure to diverse client projects and digital technologies
• Paid leaves and company holidays
• Opportunities to work with international clients
• Skill development and learning opportunities

Additional Information

Work Timing: 10:00 AM – 7:00 PM

Work Mode: Work from Office

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. 

• · 3+ years of software engineering experience primarily leveraging ReactJS. · Strong engineering and technical background with demonstrable enterprise development experience using ReactJS and RESTful APIs. · Deep understanding of JavaScript/Typescript, HTML5 and CSS. · Experience using Redux, Web Workers and PWAs. · Experience with continuous integration and build (CI/CD) process & tools. · Proven ability to quickly understand functional requirements and technical concepts. · Experience with TDD and familiarity with testing frameworks, ideally Cypress, Selenium and PACT. · Exposure to mobile development via React Native an advantage. GitHub portfolio an advantage.

Agreement of Sale & Sale Deed

Follow up with the customers for Payments, Registrations

Coordination with Banker for Loan Process

Update Customer Database

Should resolve Customer queries by coordinating with the Civil Team

Should take updates from the Projects Team regarding their flats and update customers

Should prepare MIS Reports

End to End Process from the purchase of the flat till handover process

 Android Developer who possesses a passion for pushing mobile technologies to the limits.  Android app developer will work with our team of talented engineers to design and build the next generation of our mobile applications for our Banking Products. Android programming works closely with other app development and technical teams.

• 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

• Proven software development experience and Android skills development
• Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.

• Understanding position requirements and the hiring function’s deliverables in depth.
• Sourcing, screening, and developing a candidate pipeline.
• Ensuring a healthy pipeline till closure, report sourcing risks upfront.
• Managing candidate expectations and negotiating compensation packages for new hires.
• Developing external contacts to stay abreast of new hiring practices and trends in the industry.
• Providing recruitment reports and metrics.
• Exposure to both tech and non tech positions across levels and experience in hiring high budget resources.
• Utilize the existing recruiting database and tools to maximize the output.
• Work with agencies to explain the hiring needs and give regular update about the candidates received on ATS.
• Work on recruiting projects to improve recruiting process efficiency.
• Maintain market intelligence on the hiring landscape and utilize this information for hiring the best talent in the firm.

Talent Management

• Provide support in the following areas: performance management, data analysis, employee relations, learning and development, and strategic development.
• Utilize data strategically: Identify trends in both qualitative and quantitative data to help improve organizational health, understand when data will assist in making informed decisions.
• Partner with team members to roll out programs to support employees on talent programs.

Requirements (Must Have):

• Comfortable working in fast-paced, high growth, dynamic business environment.
• Effective influencing and communication skills, with the ability to build relationships with employees, leaders, and a variety of stakeholders to drive organizational change.
• Outstanding interpersonal skills; demonstrated ability to develop relationships within the organization;
• Excellent communication skills.