11+ Sourcing management Jobs in Bangalore (Bengaluru) | Sourcing management Job openings in Bangalore (Bengaluru)

• Day to day sourcing for the region (Maharashtra and Gujrat)
• Working closely with business development team and operations team to ensure the client expectations are properly met in terms of time and quality of sourcing
• Building and developing the required team to achieve the targets
• Driving efficiencies to maintain sourcing service levels and expanding margins of the region
• Building and implementing processes to increase the overall efficiency and reliability of the region
• Participating in cross-functional projects for high priority initiatives and bringing process and data-driven focused approach to support the organization's goals
• Driving change management to ensure efficient implementations of any new strategic change
• Collaborating closely with stakeholders like Operations, Finance, Product, Sales and New initiatives with the objective to drive stakeholder success
• Ensuring excellent customer and partner experience

Desired Candidate Profile

• Graduates from Tier 1/2 Engineering colleges/Post Graduate from Tier 1/2 Management colleges with good academic performance
• 4-8 years of frontline Operation/sourcing/channel management experience or P&L Management
• Strong leadership qualities to lead a large geographically spread team
• Ability to manage conflicts and good stakeholder management skills
• Multi-tasking capabilities and inter departmental coordination
• Product first mindset and relevant experience is a useful plus
• Experience in channel management in B2C space will be very useful
• A strong team sport background is a plus (showcasing the long term commitment and rigor)   

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Job Description

• Min 5 years of Test Data Management tools experience with experience in Data De-identification and Masking Capabilities.
• Min 3 years of experience working on the Delphix tool with Data De-identification TDM experience
• Min 2 years of Experience in Synthetic Data Generation Capabilities
• Nice to have Experience in Python and .NET
• Understand and align with the roadmaps of key consumers with faster turnaround of test data generation.
• Optional: Prior experience working in cloud-hosted platforms, CICD pipeline, and integration of test data into the pipeline.

Looking For Java Developer who will help Build large scale distributed systems. The ideal candidate will be a thinker and a team player with a passion for technology and with a knack for benchmarking and optimization.

• Computer Science fundamentals in object-oriented design, data structures, algorithms, problem solving, and complexity analysis

• Must have hands on experience on coding in Core Java, multithreading, concurrency and collection.

Good knowledge of Microservices.

• Knowledge of professional software engineering practices. Understanding of full software development life cycle, including coding standards, code reviews.

• Strong technical Design and Development skills

• Ability to work effectively under pressure in a dynamic environment.

• Agility to switch across multiple teams/ products/ applications and perform

• Experience in translating requirements into technical design specifications and documentation, as well as executing development projects from conception to delivery

• Excellent verbal and written communication skills

• Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
• Expert-level proficiency in Python
• Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
• Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
• Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
• Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
  Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI)
• Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks
•  

• 2-4  years of experience, with at least 1-2 years of experience in testing Web Applications/Services, UI testing.
• Good exposure to Non-functional tests strategies like Load, Perf and Chaos.
• Good understanding of testing principles: UI and Usability testing, Stress testing, Functional/Regression testing, Code coverage, TDD/BDD, UAT.
• Experience in deploying solutions into AWS is a major plus.
• Good team player, having effective and professional oral and written communication skills.

Cloud Platform Developer:

• 8 to 12 years of platform development experience with good knowledge on any virtualized platform (VMware ESXi, Linux KVM, Openstack, AWS, etc)
• Candidate must understand how to instantiate/provision/package VMs on cloud platforms – OVF/OVA, qcow2, etc.
• Strong in Shell and Python scripting; Knowledge of Apache Maven is plus.
• Knowledge of Ansible or Terraform will be useful
• Knowledge of Rift.io / Open source MANO / Restful APIs will be plus
• Good knowledge of Linux OS fundamentals – IPCs (sockets, shared memory, etc), multi-threading, Semaphores, IP routing, etc.
• Experience of working in an agile software development environment is critical
• Exposure to multiple aspect of product lifecycle process including requirement gathering, functional specification, design, development, testing, and maintenance.

• Assisting the Client Support Manager in developing efficient systems to support the work of the Client Support Team.
• Revenue generations through Cross Selling products & Interest Collection.
• Maintain good relationships with clients so that the business can

maximize the value of those relationships.

• Customer Relationship and Follow-up.
• Maintenance of important registers and daily reports.
• Cash Management and accounting.
• CASA management (Current Account /Savings account )
• Sourcing of New Customers to increase Gold loan Business, Gold Appraisal.