Haryana jobs in India

• Lead the entire business operations including manufacturing facilities and P&L for a large scale sheet metal setup
• Opportunity to become a overall Ops Head for the business and a fast tracked visibility for elevation

Our client is looking to hire professional in their interior finishing team for their upcoming commercial projects of more than 10 Mn sq. ft.

Global Direct Taxation Compliance

Candidates with 5 to 8 years of experience from Law firm or renewable industry having worked in project finance should apply

We're hiring a Head of Production to lead apparel manufacturing from sourcing to final output. The role demands strategic oversight, vendor network building, and commitment to quality and timelines. You'll collaborate closely with creative and merchandising teams to bring design visions to life.

Job Title: Senior Quality Engineer (Automation & Manual Testing)Job Summary:We are seeking an experienced Quality Engineer to join our team, with a strong background in automation testing using Selenium and expertise in Behavior-Driven Development (BDD) using Cucumber framework. The ideal candidate will have a solid understanding of software testing principles, excellent manual testing skills, and the ability to work effectively in both automated and manual testing capacities. As a Senior Quality Engineer, you will play a key role in ensuring the quality of our software applications, collaborating with cross-functional teams, and contributing to the development of our testing strategies.

Key Responsibilities:

• Design, develop, and maintain automated test scripts using Selenium WebDriver, focusing on functional and regression testing
• Utilize BDD framework (Cucumber) to create and execute automated tests, ensuring test coverage and reliability
• Collaborate with development teams to identify and prioritize testing requirements, and develop test plans and strategies
• Execute manual testing as needed, including exploratory testing, usability testing, and ad-hoc testing
• Analyze and report defects, providing detailed descriptions and steps to reproduce issues
• Work closely with developers to reproduce and resolve defects, ensuring timely resolution and minimal impact on product quality
• Develop and maintain test automation frameworks, tools, and infrastructure to support testing efforts
• Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives
• Stay up-to-date with industry trends, tools, and best practices in software testing and automation

Requirements:

• 4+ years of experience in software testing, with a focus on automation testing using Selenium
• Strong expertise in Selenium WebDriver, including Java or other programming languages
• Experience with BDD framework (Cucumber) and behavior-driven development principles
• Excellent manual testing skills, with the ability to create test cases, test plans, and test scripts
• Strong understanding of software testing principles, including functional, regression, and exploratory testing
• Experience working in agile development environments, with familiarity with Scrum or Kanban methodologies
• Excellent analytical, problem-solving, and communication skills
• Ability to work collaboratively in a team environment, with a strong focus on quality and attention to detail
• Willingness to adapt to changing priorities and deadlines, with a flexible and proactive approach to testing

Nice to Have:

• Experience with other automation tools and frameworks, such as Appium, TestNG, or JUnit
• Knowledge of cloud-based testing platforms, such as Sauce Labs or TestObject
• Familiarity with containerization using Docker
• Experience with CI/CD pipelines, including Jenkins or other continuous integration tools
• Certification in software testing, such as ISTQB or CSTE

The role of Director - Quality Risk Management (QRM) entails managing client service delivery across multiple projects. The role will involve ensuring that the service levels are maintained at a high level by the different teams that are working on these projects.

The Assistant Manager - GRC will be responsible for overseeing governance, risk, and compliance initiatives and is also responsible for planning, executing and reporting on operational, financial, regulatory and compliance related audits/reviews. The AM would also be responsible to implement and maintain internal controls and risk management framework.

The Manager (Governance Risk & Compliance) is responsible for planning, executing and reporting on operational, financial, regulatory and compliance related audits/reviews. Will also be responsible to implement and maintain internal controls and risk management framework.

We are seeking a dynamic and experienced Procurement Transformation Manager to lead strategic initiatives aimed at modernizing procurement operations. The role involves driving digital transformation, optimizing processes, and building capability across procurement functions.

As a Business Development and Sales Manager for Global Business, you spearhead strategic initiatives to identify, engage, and convert high-value prospects across international markets. You architect and execute market penetration strategies, co-create tailored solutions with clients, and ensure consistent achievement of sales and revenue goals.

Lead and transform the quality standards for both guest and host operations, driving continuous improvement and operational excellence. Manage a team and implement strategic initiatives across US and Europe to elevate service quality and customer experience.

The role will be responsible for executing and managing a global quality program, driving continuous improvement, and leading cross-functional initiatives to enhance support operations. This position involves coaching teams, implementing quality frameworks like Lean Six Sigma, and using data-driven insights to streamline processes and deliver measurable business impact.

2 plus year of work experience * Project Management type experience * Relevant working experience in a data analytics role * End to End Program Management & Maintenance Behavioural Skills * Proven experience in analytics * Communication Excellence * Independent worker * Innovation and agility Knowledge * Payment knowledge is preferred * Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.) * Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) * Microsoft Office applications (MS Excel, etc.)

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Location- GurgaonExternal Interfaces Internal Interfaces

* Contractor(s) - BPO Partners - Global CoE Data & Analytics team

* Vendors - Digital tools (SAP Ariba, Coupa, etc.)

* Vendors - Supplier Relation Management (SRM)

* Global Procurement GNFR

* Finance, accounting and Legal

* GNFR Stakeholders

* Global CoE - Data & AnalyticsJob Requirements Education

* Bachelor's degree in Supply Chain, Business Administration, Engineering, or a related field.

* MBA or relevant Master's degree preferred.Relevant Experience

* 10+ years of total experience in procurement, with a strong focus on process optimization, tools implementation, and transformation.

* Proven success in leading or supporting largescale S2P initiatives.

* Experience with procurement platforms such as SAP Ariba, Coupa, Oracle, and ERP systems like SAP.Behavioural Skills

* Strong analytical and problem-solving abilities.

* Excellent communication and stakeholder engagement skills.

* Proactive, organized, and adaptable in a fastpaced, global environment.

* Willingness to work flexible hours to collaborate across time zones.

* Strong project management mindset.Knowledge

* Strong understanding of end-to-end procurement processes, with a focus on Sourceto-Pay (S2P) transformation.

* Hands-on knowledge of procurement platforms such as SAP Ariba, Coupa, or other similar tools (e.g., Oracle, Ivalua).

* Experience in integrating procurement systems with ERP platforms such as SAP or Oracle * Familiarity with contract lifecycle management (CLM), supplier management, e-sourcing, and invoice automation.

* Working knowledge of data governance, compliance frameworks, and internal controls in a procurement context.

* Proficiency in Power BI or other business intelligence tools (e.g., Tableau, Qlik, Spotfire) for creating dashboards and data-driven insights.

* Strong command of Microsoft Excel (pivot tables, advanced formulas, data modeling) and PowerPoint for executive reporting.

* Basic understanding of cloud platforms (e.g., Azure, AWS, or GCP) for analytics is a plus. Roles & Responsibilities Analytics (Data & Insights)

* Drive implementation, optimization, and adoption of procurement platforms such as SAP Ariba, Coupa, Oracle (including CLM, e-Sourcing, and invoice automation).

* Collaborate with IT and cross-functional teams for seamless ERP integration.

* Monitor tool adoption and identify opportunities for automation and enhancement. Operational Excellence

* Lead and execute end-to-end procurement transformation initiatives, spanning S2P and P2P workstreams.

* Design and deliver standardized, automated, and scalable procurement processes aligned with global strategy.

* Define and implement procurement transformation roadmaps and process excellence frameworks.Stakeholder Management

* Engage and align with global stakeholders including Procurement, Finance, Legal, IT, and Business Units.

* Act as a change agent for procurement transformation, building awareness and ownership among stakeholders.

* Define KPIs and provide actionable insights to leadership through dashboards and reports.Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to businessData Governance & Quality Assurance

* Use data-driven analysis to identify trends, optimize procurement spend, and enable strategic sourcing.

* Build interactive dashboards (preferably in PowerBI) and ensure high data integrity and governance

Opportunity to work as the Chief Risk Officer for a leading NBFC in the Indian market

The Sales & Application Specialist will be responsible for driving sales of dust collectors, fume extractors, oil mist separators, wet scrubbers etc., while also offering technical expertise and application support to all customers.

The AVP - Technical Engineering is responsible for leading the engineering function for core insurance platforms, overseeing technical strategy, delivery governance, modernization, and platform scalability. The role involves managing internal and partner teams, driving innovation through PoCs, and ensuring high system performance and compliance.

This role offers the opportunity to lead and develop a high-impact engineering team on a global scale while working on cutting-edge automation projects. It provides valuable experience through cross-functional collaboration and exposure to innovative technologies.

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

An excellent career opportunity to work with a global recruitment consulting firm, Michael Page within our Financial Services practice . This is a 360-degree role which will offer you an opportunity to work on both Business Development and delivery in the form of Recruitments.

As a Product Lead, you will be pivotal in shaping innovative UPI products, aligning the organization's strategic business objectives, and satisfying customer needs. We are looking for a resourceful, organized, and strategic self-starter to play a pivotal role in driving the product strategy of our multi-line product portfolio within insurance vertical.

1. Android
   2. Core Java
   3. SQLite Database
   4. Kotlin

The Senior Demand Planner Analyst must demonstrate the ability to effectively lead their respective staff in properly plan for shifts in consumer purchasing, while optimizing product inventory levels. Product forecasting will be managed in Relex (inventory planning system), interfacing with Merchants and Vendors for their assigned area of business, ensuring proper planning for item introductions, promotions, item discontinuation, and more.

This is an excellent Financial Controllership opportunity in a leading MNC Fashion Retail brand

The Senior Engineer will participate in or undertake the technical analysis, specification, estimation, design, development, implementation and support of software solutions, working with business users, third parties, and other IT colleagues, as appropriate

The Software Engineer will participate in or undertake the technical analysis, specification, estimation, design, development, implementation and support of software solutions, working with business users, third parties, and other IT colleagues, as appropriate.

The Chief Revenue Officer will be the primary driver of the agency's revenue strategy and execution. This leader will oversee all revenue-generating departments including sales, client partnerships, account growth, and strategic alliances. Working in close partnership with the CEO and functional heads, the CRO will build scalable revenue engines, optimize client acquisition and retention, and ensure profitability.

As a Lead Test Engineer, you will drive the quality engineering strategy across crews/program level, ensuring the delivery of Bupa releases on time. Leveraging technical expertise and leadership capabilities, you will define and implement test strategies, automation practices, and mentor team members to uplift testing maturity. You will collaborate with cross-functional stakeholders to identify risks early and optimize testing frameworks.