Manager jobs in India

The Manager / Sr. Manager R&D role involves spearheading research and development initiatives in the plastic industry, focusing on innovative solutions and product enhancement. This position, based in Mumbai, requires a strong technical background in engineering and manufacturing.

The position is a leadership role responsible for end to end management of all finance activities including and not limited to Business Planning and Analysis,Financial Reporting, Direct / Indirect Tax, Consolidation, Statutory, Internal Audits and Business Commercials. The ideal candidate will bring strong leadership, financial expertise, and business acumen to oversee the company's financial health, compliance, reporting, and planning.

Our client is looking to hire a senior Construction Project Manager for a upcoming unique mixed-use development projects in the Delhi NCR region of over a 1 Mn sq. ft.

The role of MT & Institutional Sales involves spearheading sales strategies and managing key accounts in the retail and health & beauty industry. This position will be based in Gurugram and requires a results-driven professional to enhance market presence and drive revenue growth.

Senior Manager - SAP MM to oversee the SAP Materials Management (MM) function, with a strong focus on SAP S/4HANA. This is a hands-on role ideal for someone with in-depth knowledge of SAP MM, as well as cross-module experience with Quality Management (QM) and Production Planning (PP), particularly in the integration of these areas. The role requires managing a small team of 5-6 consultants while also coordinating with a larger SAP team of 40 members, both internal and external. Worked on BTP, CPI to build custom solutions & interfaces;

This is a founding Product Marketing Lead role, reporting directly to the CEOThis is a 5 days WFO role with shift timings being 1pm - 10 pm

The role of GM Operations in the manufacturing industry involves overseeing the operational functions to ensure the efficient running of processes and optimal use of resources. This position is based in Mumbai and requires a strategic mindset to drive improvements and achieve business objectives.

Job Requirements
Education Bachelor's degree in business or related field is preferred
Relevant Experience * 2 years+ of experience in inventory demand planning * Proven track record in setting and achieving inventory short, medium and long-range inventory plans * Exceptional ability to communicate complex analytics in a clear, actionable manner to influence decision-making * Strong interpersonal skills to effectively collaborate with internal teams and external parties * Skilled in monitoring and measuring inventory demand planning performance against goals, with the ability to provide insights and make timely adjustments * Results-driven mindset with the ability to balance strategic planning and tactical execution Behavioural Skills * Delivery Excellence * Business Disposition * Social Intelligence * Innovation & Agility * Purposeful Leadership Technical Skills * Strong analytical skills with proficiency in inventory management software and tools (e.g., PDI, Relex) * Advanced proficiency in Excel and other data analysis tools; experience with visualization tools e.g., Power BI, Tableau etc. Knowledge * Data Analytics * Good knowledge in Power BI, MS Excel and Tableau

• Collaborate closely with UI/UX designers and product managers
• Drive code reviews, best practices, and maintain high-quality standards
• Oversee CI/CD processes and DevOps integration

The role is responsible for strategizing, designing, and executing digital onboarding solutions for partners and distributors, ensuring timely delivery of scalable tech functionalities aligned with business goals. The role demands strong leadership in agile project management, stakeholder collaboration, and digital product ownership within the financial services ecosystem.

The Assistant Manager - Tax will manage end-to-end direct tax compliance and audits for 25+ SPVs and holding companies engaged in the energy infrastructure sector. This role involves close coordination with consultants, internal teams, and senior leadership to ensure timely and accurate tax reporting and compliance.

Seeking a strategic and results-driven Project Manager with a strong background in Project Management Office (PMO) leadership and a proven track record of delivering complex finance-related projects. This role will be instrumental in driving Canada Finance-wide initiatives, ensuring alignment with business goals, and enhancing project governance and delivery excellence.

A highly experienced Project Head with a background in Paper Technology and a proven track record of successfully executing Kraft and Duplex paper plant projects across India. The ideal candidate should have deep technical expertise, hands-on project management experience, and excellent knowledge of machinery suppliers and modern technologies in the paper industry.

As a senior L4-Deputy General Manager for AI for Automotive Design, you will be a technical leader responsible for pioneering and deploying state-of-the-art generative AI and deep learning solutions that transform our automotive design processes. You will leverage your deep technical expertise to build systems that can convert 2D sketches into high-fidelity 3D models, generate realistic surfaces, and automate creative tasks.

We are seeking an experienced and strategic Associate Director to lead the financial management of our Rs.2000 crore service based organization. The ideal candidate will bring strong leadership, financial expertise, and business acumen to oversee the company's financial health, compliance, reporting, and planning. This role is critical in driving sustainable growth, operational efficiency, and financial discipline across all business units.

Qualifications & Required Skills: Full-Time

bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.

 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.

 8+ years of experience in data engineering development and support.

 3+ years of experience in leading technical team of data engineers and BI engineers  Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.

 Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.

 Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.

 Strong communication, interpersonal, collaboration skills along with leadership capabilities.

 Ability to work effectively in a fast-paced, dynamic environment as cloud SME.

 Act as single point of contact for all kinds of data management related queries to make data decisions.

 Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.

 Conduct continuous audits of data management system performance and refine where necessary.

 Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.

 Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.

 Ensure data privacy measures comply with regulatory standards.Preferred

* Azure Data Factory (ADF), Databricks certification is a plus.

* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake

The Head of Finance will oversee financial planning, budgeting, and risk management to ensure robust financial health and compliance within the organisation. This role is ideal for someone with expertise in financial strategy, customisation of pricing models, fund-raising, and a strong understanding of accounting principles.

This role involves leading Adobe Experience Manager (AEM) and Salesforce Marketing Cloud (SFMC) solutions within the technology department for a prominent business services company in Bangalore. The ideal candidate will drive innovative digital marketing initiatives and ensure seamless integration across platforms in the facilities management industry.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

• The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery
• The Quality Engineers plans and executes manual/automated/Non-Functional testing throughout the development cycle throughout the project, and communicates frequently with team members regarding quality status, and helps to resolve test impacts

Job Requirements Education

* 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

*3 - 4 years for Data Scientist

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

*Delivery Excellence

*Business disposition

*Social intelligence

*Innovation and agility Knowledge

* 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.)

Location- Gurgaon

To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks whilst conforming to UK IT Testing Services processes and standards.
To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.

To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks iwhilst conforming to UK IT Testing Services processes and standards.
To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.

To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks whilst conforming to UK IT Testing Services processes and standards.

To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.

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

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