Yardi Support Consultant

Job Title:  Sr. AI Ops Engineer

Experience: 8+ Years

Location: Remote

We’re looking for a hands-on Lead AI Ops Engineer to drive AI-powered automation across enterprise infrastructure. This role involves working closely with senior stakeholders to identify opportunities and implement Agentic / AIOps solutions at scale.

 What You’ll Do

• Identify automation opportunities across Cloud & Enterprise Infrastructure
• Design & build AI/Agentic solutions aligned with AIOps frameworks
• Collaborate with Principal Engineers / Directors on high-impact initiatives
• Own end-to-end delivery: Problem → Solution → Deployment

 Tech Stack

• Must: Python
• Good to have: JavaScript, Java, Scala, R
• AI/ML: Databricks, MLflow
• Frameworks: LangChain, LangGraph, LLaMA, Cohere, DBRX
• Cloud: AWS, Azure, GCP
• Others (Plus): Google ADK, MCP, A2A, Argo

 Ideal Profile

• Strong engineering maturity & ownership
• Experience in AI-driven automation / AIOps
• Ability to work directly with senior technical stakeholders

 Why Apply?

Work on cutting-edge AI Ops & Agentic automation in a large-scale enterprise environment with high visibility.

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. 

Business Development Executive , Corporate sales

•                         KEY RESPONSIBILITIES
•                         
•                         Building an expertise with a range of technology products and solutions to handle prospective customers.
•                         Achievement of agreed targets and managing accounts.
•                         Draw up strategies to counter competition.
•                         Should possess capabilities to handle strategic activities.
•                         To generate leads and meet customers through field visits and product demonstrations.
•                         Should be able to know & understand the customer’s business, workflow & mapping the accounts.
•                         Should be able to develop new accounts and further enhance the revenue through the product and vertical growth.
•                         Closing of orders and follow up for payments/ Collecting necessary documents.KEY REQUISITES
•                         
•                         Should have experience in B2B / Corporate Sales
•                         Good in negotiation and customer handling skills.
•                         Excellent language fluency, good communication, presentation and interpersonal skills.
•                         Team handling experience will be added advantage.
•                         

Industry: IT-Hardware / Software 

Functional Area: Sales , Business Development

Role Category:Corporate Sales

Role:Sales/Business Development Executive

Education-

UG: Any Graduate

PG:MBA/PGDM

• Define and lead strategic performance projects, manage stakeholders to drive outcomes.
• Analyzing and presenting key MIS reports for Management review
• Lead business planning for including formulation of annual, monthly and daily plans on key
• performance metrics.
• Driving the strategic initiatives of the company as per the CEO's agenda
• Studying & improvising the operation processes of the company.
• Drive business performance insights working closely with the sales, marketing, growth &analytics teams
• Create strategic value-added analyses around growth opportunities, retention levers and core
• business metrics in order to drive better decision making and results
• Conduct ongoing analysis of key business drivers, trends and performance.

Position Overview:

 As a Field Sales Executive in the Fintech Industry specializing in Payment Gateways, you will be responsible for driving the sales and business development efforts within the Business, Merchant, and Enterprise (BME) segment. You will play a critical role in expanding the market presence of our payment gateway solutions, building and maintaining relationships with clients, and achieving revenue targets.

·      Identify and prospect potential clients within the fintech industry, including startups, established companies, and financial institutions, to promote and sell our payment gateway solutions.

·      Develop and maintain strong relationships with key decision-makers, stakeholders, and partners to ensure a deep understanding of client needs and effectively position our payment gateway offerings.

·      Understand the unique requirements of each client and tailor payment gateway solutions to address their specific needs, showcasing the value and benefits of our services.

·      Maintain a deep understanding of our payment gateway products, features, and industry trends to effectively communicate their advantages to clients.

·      Meet and exceed individual and team sales targets, contributing to the overall revenue goals of the department.

·      Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential areas for business growth and maintain a competitive edge

·      Work closely with cross-functional teams including marketing, product development, and customer support to ensure seamless customer onboarding and exceptional post-sales support.

·      Effectively manage and update sales pipelines, activities, and progress using CRM tools.

·      Provide regular sales reports, forecasts, and insights to management, highlighting achievements and potential areas for improvement

·      Proactively seek opportunities for professional growth, staying current with industry advancements and sales techniques.

Qualifications:

• Bachelor's degree in Business, Marketing, Finance, or related field (or equivalent work experience).
• Proven track record of successful sales in the fintech, payment gateway, or related industry.
• Strong communication, negotiation, and interpersonal skills.
• Ability to understand complex technical concepts and effectively translate them to non-technical clients.
• Self-motivated, proactive, and able to work independently or as part of a team.
• Familiarity with CRM software and sales tools.
• Willingness to travel for client meetings and industry events as required.