11+ Field service management Jobs in India

We Are Hiring For Tally Customer Support

Job Role: Tele calling & Sales Supporting

Candidates Must Have Good Communication Skills

Candidates Should Be Able To Speak English Fluently

Qualification: B.com Graduates Can Apply

Job Location: Shimoga, Mangalore, Karnataka

Experience: 1 - 2 year experience is required

Role & Responsibilities

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

Key Responsibilities-

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

Ideal Candidate

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in **Python or Bash**
• Understanding of monitoring, incident management, and cloud security basics

Nice to Have-

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

Ideal Candidate

What we're looking for

3 to 7 years of experience, with meaningful time in a product or solutions role.

Strong track record of client-facing delivery: you have run implementations or deployments for large enterprise customers, not just written specs internally.

Comfortable getting hands-on. You can read an API doc, model a data flow, write SQL, and reason about system integrations. Coding is a plus, not a requirement.

You can hold a room of enterprise stakeholders and drive a decision.

Experience with workflow automation, iPaaS, low-code platforms, CRM/ERP/ITSM ecosystems, or LLM and agentic AI systems.

Bias to build. You are comfortable with ambiguity and a scope that changes as you learn.

Willing to travel to customer sites and to work on-site in Gurugram.

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. 

Role & Responsibilities

Take end-to-end ownership of critical backend services — from architecture and development to deployment and scale.

Design systems for performance, reliability, and observability. Identify bottlenecks and eliminate them proactively.

Collaborate with product and design to deeply understand user pain points and build the right solutions.

Work independently and own complex modules with minimal oversight.

Champion clean, maintainable code and help set a high bar for engineering excellence across the team.

Stay up-to-date with new tools, technologies, and backend trends — and bring the best ideas into our stack.

Ideal Candidate

2+ years of backend development experience, ideally with Kotlin and Spring Boot (or willingness to ramp up quickly).

You’ve worked in fast-moving teams and thrive when given room to figure things out.

You take initiative and can drive complex modules to completion without needing constant guidance.

Strong with both low-level and high-level design; you know how to build scalable, reliable RESTful APIs.

Proficient with relational databases and aware of common performance pitfalls.

Confident with debugging and optimizing — memory leaks, latency issues, and other hard-to-find problems don’t scare you.

You write clean, testable code and know how to leave systems better than you found them.

You bring a product mindset — caring not just about what’s built, but why and how it delivers value to users.

Job Title:

B2B Sales & Business Development Executive

Location:

[Bangalore] / Work from Office onsite

Job Type:

Full-Time | Entry-Level

Total 6 Vacancies

4 for Day Shift

2 for Night Shift

About Us:

Edstellar is a fast-growing Global corporate training company that delivers instructor-led training (ILT), both virtual and in-person, across a wide range of domains including technology, leadership, soft skills, and compliance. We work with start-ups, enterprises, and Fortune 500 companies to solve their learning and development challenges through customized training solutions.

Job Summary:

As a B2B Sales & Business Development Executive, you will be responding leads and actively generating outbound leads to grow our client base. You will interact with HR, L&D, and business leaders to understand their training needs, create customized training proposals, coordinate with internal teams to finalize trainers, and close deals. This is a high-learning, client-facing role ideal for freshers eager to start a career in corporate sales, learning & development, and business consulting.

Key Responsibilities:

• Respond promptly to incoming leads via email, phone, chat, or the website.
• Research and identify potential corporate clients in target industries and geographies.
• Reach out via email, LinkedIn, and cold calls to pitch our training solutions.
• Build a qualified outbound lead pipeline and maintain regular touchpoints.
• Set up discovery calls, understand prospect needs, and nurture them into active leads.
• Understand client training requirements across domains (technical, soft skills, leadership, compliance, etc.).
• Prepare customized training outlines in collaboration with the content and operations teams.
• Work with the Operations team to identify and propose suitable trainers.
• Share tailored proposals and pricing with clients, follow up, and drive the sales process to closure.

Coordination & Documentation:

• Collaborate with internal teams (Content, Trainers, and Operations) to deliver solutions aligned with client expectations.
• Maintain accurate and up-to-date records of all sales activities in CRM or internal systems.
• Ensure smooth handover of closed deals to the Account Management team for delivery coordination.

Who Should Apply?

• Fresh graduates.
• Master’s degree in Business, Marketing, HR, or related field.
• Strong spoken and written English communication skills.
• Confident, proactive, and eager to learn and grow in a fast-paced environment.
• Interest in corporate training or L&D is a plus.
• Ability to multitask and manage both inbound and outbound responsibilities.
• Basic knowledge of tools like MS Office, Google Workspace, CRM (training will be provided).

What you’ll Gain:

• Comprehensive on boarding and role-specific training.
• Hands-on experience working directly with corporate clients and senior professionals.
• Exposure to diverse industries and training domains.
• Opportunity to grow into sales consulting, key account management, or L&D advisory roles.
• Competitive compensation with performance-based incentives.

Work Culture & Support:

• Young, collaborative, and performance-driven team.
• Regular mentoring and feedback sessions.
• Supportive environment that encourages learning and experimentation.

Your Roles and Responsibilities: Business Development is a critical aspect of our platform business. 1. Actively seeking out new sales opportunities through cold calling, networking and social media. 2. Calling 65-70 leads everyday 3. Setting up meetings with potential clients (parents) 4. Generating Trial Classes - Pitch Parents to take PlanetSpark trial Classes 5. Negotiate/close deals and handle complaints or objections 6. Follow and achieve department’s sales goals on a monthly, quarterly and yearly basis (3L revenue per month) 7. “Go the extra mile” to drive sale

What you need to have: