Education Counselor / Inside Sales Executive

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

Strong Customer Success Manager / Implementation Manager / Post-Sales Delivery (B2B SaaS – US Customers) Profiles

Mandatory (Experience 1): Must have 3+ years of experience in Customer Success roles within B2B SaaS companies, primarily working with US-based customers.

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success

Mandatory (Experience 3): Must have strong project management and customer communication skills, owning onboarding timelines, running regular customer check-ins, managing CXO-level stakeholders, and proactively flagging risks or blockers.

Mandatory (Experience 4): Must have worked in post-sales, non-quota-carrying roles focused on customer success, retention, and long-term relationship management (upsell is not mandatory)

Mandatory (Experience 5): Must have a conceptual understanding of SaaS products and APIs, with the ability to understand workflows, follow integration issues, and coordinate effectively with technical teams (hands-on coding not required).

Mandatory (Note): Must be willing to work in US time zones (approx. 4:30 AM IST onwards, Mon–Fri).

Mandatory (Company): B2B SaaS (Technical complex)

Technical Trainer at the Pollachi location.

Trainer - Pollachi.

Willing to travel around a 30km radius from Pollachi.

Job Description: Technical Trainer

Expertise: HTML, CSS, JavaScript, Python, Artificial Intelligence (AI), and Machine Learning (ML), IoT, and Robotics (Optional).

Work Location: Flexible (Work from Home & Office available)

Target Audience: School students and teachers

Employment Type: Full-time, IoT and Robotics (Optional). 

Key Responsibilities:

* Develop and deliver content in an easy-to-understand format suitable for varying audience levels. 

* Prepare training materials, exercises, and assessments to evaluate participant progress and measure their learning outcomes. Adapt teaching methods to suit both in-person (office) and virtual (work-from-home) formats.

* Stay updated with the latest trends and tools in technology to ensure high-quality training delivery.

We’re Hiring Full Stack developer (Java, Node) On-site Roles | 6-Month Contract (Extendable)

📍 Location: On-site Banglore (WFH not applicable)

Candidates preferred from south region.

📆 Contract Duration: 6 months (extendable based on performance & project needs)

Full Stack developer

Backend / Full Stack Developers

Experience: 3–5 Years (less exp pls dont share your CV)

Skills Required:

Node.js / Java

Full Stack Development

Project Manager (Programming)- Night Shifts-Dehradun

Location- Dehradun

JD:- Urgent requirement of Project Manager in one of the leading US based IT Company.

Excellent communication skills / Website development/ Programming/ PHP project teams handled.

Salary - upto 50 K

Preparing and defining the project scope of work, its goals and deliverables.

• Assigning responsibilities.
• Identifying the resources’ requirement. Effective and efficient management of resources
• Coordinating directly and indirectly with project staff to ensure successful completion of the project– Directing, supervising, supporting and coordinating the project team members/staff.
• Tracking project deliveries using project management tools(MS Projects).
• Reporting on project progress and communicating relevant information to superiors and company management.
• Client Management.
• The Project Manager should ensure that every team member wt

• 4+ years of experience in web development (PHP 7+ / JS / MySQL / Symfony 4+ / Rabbit MQ /Docker / Redis and other frameworks).
• Good understanding of OOP principles and their use in practice.
• Experience in building CRM systems is a plus.
• Experience with CRM systems would be a plus
• Knowledge and experience with Node.js will be a plus.

• Minimum 7 years of Manual and automation experience.
• Experience of testing Application hosted over Cloud for various platform and OS.
• Web and Mobile testing expertise
• Experience on Agile and Scrum methodology

• To be responsible for effectively converting US into manual/Automation test cases for WEB and Mobile apps as per the coding standards.
• Expert in Database
• Help other team members on writing and reviewing test cases and provide sufficient help for any blocker.
• Certified as ready for release to Production follow all necessary test phases and meet the pre-agreed quality standards.
• Creates traceability records, from test cases back to requirements
• Work closely with Automation team members to understand automation progress and take ownership of analyzing any failures are there
• Provides regular quality reports on test progress, anomalies, risks and issues associated with project testing