Business Development Executive

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. 

EXCITED ABOUT YOUR TASKS?

● Liaise with clients to understand role requirements in order to source the most suitable

candidates

● Source, screen and compile a shortlist of qualified candidates for various technical roles

● Screen the candidates to ensure we put forward the best quality candidates to clients

● Recruit senior IT profiles, with a focus on functional expertise

●Communicate with hiring managers in order to understand vacancy requirements fully

● Establish a strategy in order to deliver suitable candidates on time

● Build and develop relationships with both clients and candidates to provide a high level of client and candidate service

● Connect and coordinate with external vendors to support hiring needs

● Serve the business at a very deep and high touch level

WHAT WILL YOU NEED TO SUCCEED?

● 1 year of full life-cycle IT Recruiting Experience, in either an agency or corporate setting

● Familiarity with different selection methods (screening, interviews, assignments)

● Excellent follow-up skills and ability to work independently and collaboratively in a hands-on, fast-paced environment with a high degree of ambiguity

● Must have Strong Knowledge of IT Technologies and skills

● Experience in handling multiple vendors.

● Great interpersonal and communication skills

● MBA in human resources or similar relevant field

Immediate Joiners preferred

Channel Sales Executive - Field Sales

Company: Manvi International Courier

Location: Dwarka Sec 7, Delhi

Preference: Male 

Age Limit - 20-35 years

Who can Apply? 

Freshers/Experienced both can apply with good communication skills.

Position Overview:

Manvi International Courier is looking for a Channel Sales Executive to generate leads and build client relationships. This is a field-based role with no sales targets, requiring strong communication skills in English and Hindi.

Key Responsibilities:

• Lead Generation: Identify and generate new business opportunities for courier services.
• Client Relationships: Build and maintain strong relationships with clients through regular visits.
• Communication: Effectively communicate the company’s services to clients in both English and Hindi.
• Field Visits: Travel to various locations to meet clients and assess their needs.

Required Skills:

• Strong communication skills in English and Hindi.
• Ability to build relationships and generate leads.
• Self-motivated with a proactive attitude.
• Willingness to travel and visit clients as needed.
• Male candidates only.

ROR :: JD

Immediate Joiner

• Having experience on Ruby on Rails.
• Strong SQL skills with MySQL or PostgreSQL
• Knowledge on MongoDB an advantage.
• Experience with TDD (test driven development) or RSpec.
• Having experience on REST/API.
• JRuby experience is an advantage
• Knowledge on Exilir and functional programming a plus and JRuby is an advantage.
• Experience using Git productively in a team environment.
• Experience into Amazon web services
• Knowledge on Jenkins is an advantage.
• Knowledge on Docker.
• Excellent analytical and problem-solving skills

SRE - Tech Lead (DevOps):

Location: Permanent Work From Home Option
Notice: Candidates with a notice period of 30 days and less and preferred

SRE-DevOps- Tech Lead - JD:

Srijan is hiring for Site Reliability Engineering (SRE), We are looking for SRE/DevOps- Tech Lead or Sr. Tech Lead with strong automation skills and a good understanding of how to build & run secure & reliable platforms for cloud-native applications. Please find below the detailed job description and kindly go through the same for reference:-

Minimum Experience: 6+ years in DevOps/SRE

Permanent WFH option

Job Description:-

The focus of this role is to build scalable, resilient, secure infrastructure for cloud-native applications whilst automating every mundane task you could think of and build observability dashboards, set up alerts, etc to provide optics to relevant stakeholders. In a nutshell: “You are keepers of Production environments”. You must be a problem solver with the ability to multitask and come with strong collaboration and communication skills.

Key Responsibilities:-

• Proactively monitor and review application performance

• Handle on-call and emergency support

• Ensure software has good logging and diagnostics

• Create and maintain operational runbooks

• Contribute in Solution Designing and evaluating Technical Debt

• Set right practices for Well-Defined Architecture & to minimize toil.

• Own SLI, SLO configuration as per Error Budget

• Maintain production services through measuring and monitoring availability, latency, and overall system health.

• Practice sustainable incident response and blameless postmortems.

• Not be afraid to contribute changes back to the Software engineering team to improve the systems.

• Managing the delivery pipeline into production.

• Able to mentor junior members on regular basis

• Troubleshooting issues with web applications

• Understanding of security principles and best practices

• Ensuring that critical data is backed up

• Configuration of monitoring systems including infrastructure monitoring and Application Performance Monitoring systems such as New Relic.

• Ensuring that web application infrastructure is built

• Ability to act as Customer Technical Advocate and negotiate well with peers on technical fronts.

• Flexible enough to work in different Shifts for hyper business requirement

• Ability to handle multiple global clients on tech front and generate desired reports to represent health of SRE Delivery.

Skills/Experience:-

• A key skill of a SRE Tech Lead is that they have a deep knowledge of the application, the code, and how it runs, is configured, and scales. That knowledge is what makes them so valuable at also monitoring and supporting it as site reliability engineers.

• System administration, security, and networking

• The SRE Tech Lead expected to have a good understanding of system administration (Linux or Windows) and networking.

• Essential commands

• User and Group Management

• Knowledge of networking concepts (DNS, TCP/IP, and Firewalls)

• Service Configuration

• Storage Management

• Good grasp of fundamental security concepts

• Good understanding of infrastructure as code principles.

• Knowledge of a scripting language such as Bash

• Ability to configure infrastructure using a Configuration Management technology such as Puppet, Chef, or Ansible.

• Familiarity with Jenkins or any other CI/CD tool

• Proficiency in a high-level programming language such as Python or Go.

• Understanding of container technologies such as Docker, Kubernetes

• 2 yrs+ hands on experience with container orchestration technologies such as ECS, EKS, AKS or Kubernetes would be beneficial.

• Use Terraform and other IaC to deploy cloud infrastructure.

Cloud technologies:-

• Experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS/Azure

• Hands-on experience using compute, networking, storage, and database AWS/Azure services

• Hands-on experience of 4 yrs+ with AWS/Azure deployment and management services

• Ability to identify and define technical requirements for an AWS/AZURE-based application

• Ability to identify which AWS/AZURE services meet a given technical requirement

• Knowledge of recommended best practices for building secure and reliable applications on the AWS/AZURE platform

• An understanding of the AWS/AZURE global infrastructure

• An understanding of network technologies as they relate to AWS/AZURE

• An understanding of security features and tools that AWS/AZURE provides and how they relate to traditional services

Job Responsibilities:

* Design, build, and maintain efficient, reusable, and reliable Java code

* Ensure the best possible performance, quality, and responsiveness of the applications

* Identify bottlenecks and bugs, and devise solutions to these problems

* Help maintain code quality, organization, and automatization

* Prepare the technical design of complex technology components

Mandatory Skills:

* Proficient in Java (JDK 1.7) or above JDK 8 preferable, with a good knowledge of its ecosystems with a knack for writing clean, readable Java code, writing reusable Java libraries along with knowledge of concurrency patterns in Java

* Solid understanding of object-oriented programming along with various design and architectural patterns

* Hands on experience with Spring, Spring Boot, JUnit

* Familiarity with concepts of MVC, Microservices, RESTful

Job Brief -

• We are looking for a Facebook & Google Ads expert to support our lead strategists with social & search ad campaigns for our clients. 
• You will be tasked with pulling reports, making optimization recommendations, getting ads live, and making strategy adjustments as needed. 
• You'll learn how we create and optimize campaigns using our process and conversion techniques that deliver real results and get to share in the success of our marketing/advertising objectives. You will spend most of your time in Google Ads, Facebook & Linkedin & experience with Google Analytics, and Google Tag Manager is a must.

Responsibilities

• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
• Ability to understand, optimize and debug imaging algorithms
• Understating and experience in openCV library
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• Understanding of engineering principles and a clear understanding of data structures and algorithms
• Experience in writing production level codes using either C++ or Java
• Experience with technologies/libraries such as python pandas, numpy, scipy
• Experience with tensorflow and scikit.