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)   

Job Title: Senior AI Engineer

Location: Bengaluru, India – (Hybrid)

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data.

Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across multiple industries around the globe rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We “Simplify and Share” our knowledge to remove obstacles for each other. We “Own It”, holding ourselves accountable for our actions and outcomes. Every day, we innovate and evolve so that today is “Always Better Than Yesterday.”

If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture, and our people. Founded on a distributed workforce, Reltio offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology as part of a collaborative team on a mission to enable digital transformation with connected data, let’s talk!

Job Summary

As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale.

You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform.

This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment.

Job Duties and Responsibilities

• Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias.
• Actively contribute to research and experimentation efforts, staying updated with the latest AI trends in graph learning, NLP, probabilistic modeling, etc.
• Document designs and present outcomes to both technical and non-technical stakeholders, fostering transparency and knowledge sharing.

Skills You Must Have

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field. PhD is a plus.
• 4+ years of hands-on experience in developing and deploying machine learning models in production environments.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Strong understanding of ML fundamentals, including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics.
• Demonstrated experience working with entity resolution, identity graphs, or data deduplication.
• Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
• Strong debugging, analytical, and communication skills with a focus on delivery and impact.
• Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science.

Skills Good to Have

• Experience with knowledge graphs, graph-based ML, or embedding techniques.
• Exposure to deep learning applications in data quality, record matching, or information retrieval.
• Experience building explainable AI solutions in regulated domains.
• Prior work in SaaS, B2B enterprise platforms, or data infrastructure companies.

Position :: Sr. Product Manager/Jr Product Manager
Location:: Hyderabad & Bangalore

Skills ::

• Strong product management or consulting experience in technology focused business

• Domain knowledge in Freight Management or Supply Chain or eCommerce

• Proven track record of managing all aspects of a successful product throughout its lifecycle.
• Hands on experience delivering large scale, enterprise, digital transformations
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management
• Solid technical background with understanding and/or hands-on experience in software development and web technologies.
• Define a thoughtful, detailed, and executable rollout strategy for new features, releases, and products.
• Write business cases, perform ROIs, and prioritize and write user stories; partner with product development team to break things down and plan them into releases
• Translate high, level business requirements into detailed technical specs, and aggressively unblock the engineer teams to execute fast.
• Perform competitive benchmark analysis, analyze customer needs, look at surveys and quantitative data to come up with the right judgement of product and feature investments.
• Excellent written and verbal communication skills
• Bachelor's degree in Science, Engineering or Technology.
• MBA with Freight Management or Supply Chain work or ecommerce experience a big plus.

Role and Responsibilities:

We are seeking a skilled and experienced individual to join our team as a Post Silicon Validation Engineer. In this role, you will be responsible for validating and analyzing the performance of SOC level environments. Your primary duties will include functional and compliance testing, characterization across power, performance, and thermal parameters, as well as data collection and analysis for PVT analysis, SNR, harmonic distortions, dynamic range, and data rates. Additionally, you will be involved in debugging silicon failures to optimize the overall system performance.

Candidate Qualifications:

To be considered for this position, you must have the following qualifications:

• Strong exposure to validation methodologies and analysis techniques
• Proven experience in SOC level environment bring up
• Expertise in functional and compliance testing
• Experience with data collection and analysis for PVT analysis, SNR, harmonic distortions, dynamic range, and data rates
• Ability to debug silicon failures and optimize system performance

Required Skills:

In order to succeed in this role, you should have the following skills:

• Proficiency in C and Python programming languages
• Familiarity with NI LabVIEW, TestStand, and Actor-framework
• Experience in developing test plans and integrating serial communication protocols
• Ability to automate lab instruments using SCPI commands with GPIB controllers
• Experience in developing test cases and drivers
• Knowledge of tools such as Infiinium Test Compliance Application, Lauterbach T32 Trace32, DMM, FG, DSO, Temp C, Digital Multimeter, Function Generator, Digital Storage Oscilloscope, and National Instruments PXI – DAQ
• Proficiency in SPI, I2C, USB2, RS232, USB3 SS, JTAG, and AMBA protocols
• Ability to analyze and debug protocol level failures

Company Description

Hubler is a NoCode platform located in Bangalore Urban that helps businesses digitally transform and manage every aspect of their business onto a single platform. Our clutter-free app-building platform offers ready-to-deploy apps and app canvas to digitize any business process into mobile and web apps overnight, as well as actionable insights in real-time.

Role Description

This is a full-time on-site role for a Senior Software Engineer (Python) at Hubler. The Senior Software Engineer will be responsible for designing, developing, and maintaining high-quality software applications while working within a team of developers and collaborating with cross-functional teams to identify and develop software solutions that meet client needs.

Qualifications

• 5+ years of experience in developing, and maintaining high-quality software applications using Python
• Must enjoy Coding with Passion
• Strong knowledge of software engineering principles, algorithms, data structures and design patterns
• Experience working with Django, Flask, Python-based web frameworks and Restful APIs
• Experience in database design and management with MongoDB
• Experience in distributed source control, such as Git
• Experience with scrum development methodology
• Bachelor's or Master's degree in Computer Science, or a related field
• Good communication skills, both written and verbal, to facilitate clear communication with team members and stakeholders
• The ability to work in a collaborative team environment with willingness to share skills and knowledge

Desired Experience

3+ years

Job Description

What You’ll Do

• Design financial systems for scale. Measure, plan, iterate.
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
• The tech: Go, Google Cloud Spanner, Kafka, Redis

What you bring to the table

• 3+ years of experience. Relevant experience is preferred.
• Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
• Comfortable in linux command line, AWS or GCP
• Strong unit test and debugging skills
• Great communication skills

Bonus if you have…

• Love building great products and engineering systems from scratch
• Are a Self-starter, Hustler and Curious to Learn
• Have an understanding of fundamental design principles behind a scalable application
• Thrive in an early-stage startup environment with less stability and more ambiguity
• Have an interest in financial products and/or cryptocurrency

• We use cutting edge technologies to build our products which means you get to be updated on the latest tech stack.
• You don’t need to have experience in any of our specific technologies;we are good at teaching our Engineers. Our diverse group of Engineers are a great team to work with and to learn.

• We deploy changes to production multiple times a day.
• Blameless culture and a continuous learning mindset

• Making a global platform with the scale of millions of users.
• Working directly with designers and PMs to make a world class test taking experience.
• Building a platform for companies and writing an ML based algorithm to match candidates and companies.
• Building an Ed-Tech product for the upskilling of candidates.

• Strong understanding of JS fundamentals and going deep into it coupled with experience in modern frameworks like ReactJs, Vuejs etc.
• The ideal person has worked with product teams in startups and taken features (or entire product modules) to production deployment which was then consumed by real users.
• Proficiency in building a highly scalable frontend.
• Ownership mindset- Taking end to end ownership of frontend initiatives and being part of the core team in driving the overall growth of the organisation in achieving its vision.

• Coordinate with global hiring managers to identify staffing needs
• Determine selection criteria
• Source potential candidates through online channels (e.g. social platforms and professional networks)
• Plan interview and selection procedures, including screening calls, assessments, and in-person interviews
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System
• Design job descriptions and interview questions that reflect each position’s requirements
• Lead employer branding initiatives
• Organize and attend job fairs and recruitment events
• Forecast quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates

• Proven work experience as a Talent Acquisition Specialist or similar role
• Familiarity with social media, resume databases, and professional networks (e.g. LinkedIn, Stack Overflow, and Github)
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods
• Knowledge of Applicant Tracking Systems (ATSs)
• Excellent verbal and written communication skills
• A keen understanding of the differences between various roles within organizations

• Verbal and non-verbal communication.
• Listening skills.
• Assertiveness.