Business Development Executive

Job Title : AI/ML Engineer – DevOps & Cloud Automation

Experience : 3+ Years

Location : Gurgaon (WFO)

Job Summary :

We’re looking for a talented AI/ML Engineer to help build an AI-driven DevOps automation platform. The ideal candidate has hands-on experience in ML, NLP, and cloud automation.

Key Responsibilities :

• Develop AI/ML models for predictive analytics, anomaly detection, and automation
• Build NLP bots, observability tools, and real-time monitoring systems
• Analyze system logs/metrics and automate workflows
• Integrate AI with DevOps pipelines, cloud-native apps, and APIs
• Research & apply deep learning, generative AI, reinforcement learning.

Requirements :

• 3+ years in AI/ML, ideally in DevOps/cloud/security environments.
• Strong in Python, TensorFlow/PyTorch, NLP, and LLMs.
• Experience with AWS/GCP/Azure, Kubernetes, MLOps, and CI/CD.
• Knowledge of cybersecurity, big data, and real-time systems.
• Bonus : AIOps, RAG, blockchain AI, federated learning.

Mainframe Developer Job Description

A Mainframe Developer is responsible for designing, developing, and maintaining software applications on mainframe systems. Here's a brief overview:

Key Responsibilities

- Application Development: Develop and maintain mainframe applications using languages like COBOL, PL/1, or Assembler.

- Code Maintenance: Perform code reviews, debugging, and optimization to ensure high-quality code.

- System Integration: Integrate mainframe applications with other systems and technologies.

- Testing and Quality Assurance: Test and validate mainframe applications to ensure they meet business requirements.

- Troubleshooting: Troubleshoot mainframe issues and resolve technical problems.

Technical Skills

- Mainframe Systems: Strong understanding of mainframe systems, including z/OS, z/VM, or z/VSE.

- Programming Languages: Proficiency in mainframe programming languages like COBOL, PL/1, or Assembler.

- Database Management: Knowledge of mainframe database management systems like DB2 or IMS.

- Job Scheduling: Familiarity with job scheduling tools like CA-7 or Control-M.

- Security: Understanding of mainframe security concepts and best practices.

.Net core(3.1, 5, 6), ASP.net, SQL, Microservices, Angular – ( version 6/7 ), Majorly on Angular 8.

• Minimum 2 Years of experience on Angular (Version 6 OR above), .Net Core and SQL and these skills must be mentioned in project details on CV.

• • facilitate and maintain relationships between  organization and vendors/partners
  • negotiating contracts, creating standards for the vendors, and finding the best available vendors
  • Good stakeholder management and 3-4 years of experience working in a similar set up where they have handled the Contract hiring piece
  • Prior experience in MIS, tracking of profiles, sourcing candidates, scheduling
  • Exp in Vendor management, assessing vendor performance, clearing PO’s, empanelment of vendors and creating SOP’s.
  • Establishing the process (create a flow chart on process and circulate to all businesses)
  • Maintaining vendor database and keeping resumes ready skill wise.
•  

Job Title : Talent Acquisition Sourcers

Roles and responsibilities:

• Sourcing candidates from various job portals.
• Conducting the initial screening rounds.
• Scheduling interviews with candidates and panel members.
• Job Posting for Portals, Social Media and External Sources.
• Preparing the Resource tracker Weekly, Monthly, Quarterly MIS.
• Conducting the Weekend Recruitment Drives.
• Worked on PPT and various ways of presenting data as a story/theme.
• Have managed high volume of data and MIS in past.

Requirement:

• MBA (HR) / Graduate
• Experience 2-6yrs into sourcing candidates from Job portals & have spent 70% doing IT recruitment & 30% non-it
• Location : Bangalore, Delhi, Mumbai, Chennai
• Ability to articulate confidently
• Excellent communication skills (written & verbal)
• Strong analytical skills
• Contract period : 1year

• 4-10 years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications.
• Strong coding experience in Java is mandatory
• Good aptitude, strong problem solving abilities, and analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.
• Should have good working experience on
• o Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• o Kafka
• o J2EE Frameworks (Spring/Hibernate/REST)
• o Spark Streaming or any other streaming technology.
• Strong coding experience in Java is mandatory
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories' execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality.
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counter-parts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

• Designing, coding, and debugging software using J2EE, Spring boot,Microservices ,AWS .
• Work closely with Solution architects to understand the architecture
  design and implement software designs accordingly.
• Improving the performance of existing software.
• Providing training to other engineers and code review.
• Maintaining and upgrading existing software.
• Recommending new technologies that can help increase productivity.
• Supervising and overseeing the technical aspects of projects.
• Investigating software-related complaints and making necessary adjustments to ensure optimal software performance.
• Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.
• Mentioning Software engineers on correct coding practices.