Technology jobs in India

This is a senior consulting role focused on designing and delivering scalable Dynamics 365 CE solutions for enterprise clients. The position blends business analysis, functional consulting, and stakeholder advisory to drive digital transformation using Microsoft technologies.

The role of CFO in the software industry requires a strategic leader with strong financial acumen, capable of managing financial operations, planning, and analysis.

This position is based in Noida and demands expertise in driving financial growth while ensuring regulatory compliance.

We are looking for a skilled Python Open Telemetry Developer to design, implement, and maintain telemetry solutions within a fast-paced technology environment. The role is based in Chennai and focuses on developing high-quality monitoring systems for seamless application performance.

You will manage end-to-end IT hardware procurement to ensure smooth and timely supply across multiple locations. Collaborate with internal teams to forecast demand and negotiate with suppliers for the best value. Your role will be pivotal in supporting rapid business growth through effective procurement strategies.

The role of Credit Analyst involves assessing financial data to determine creditworthiness and providing insights to guide business decisions. This position is ideal for individuals with a keen eye for detail and expertise in financial analysis within the technology and telecoms industry.

If AIDA is second nature to you, especially in short-form video creation - you will thrive in this role. If you instinctively know the 3 secs rule for video that makes audiences stop the scroll, stay engaged, and transition from watching content to footfall at the clinic - this is your role. You'll be the force behind firm's in-house content studio - storytelling generating revenue.

The client is looking for a dynamic Head of AI to lead the development of our document tampering detection solution. You will design and deploy advanced AI/ML models to identify document manipulation and forgery, ensuring authenticity and combating fraud.

This is a strategic and hands-on HR leadership role for a Head of HR based in Chennai, overseeing Talent Acquisition, HR Business Partnering, and Organizational Development. The role is ideal for someone who has scaled HR functions in IT services or startup environments and is passionate about building culture and capability.

The Account Director will play a critical role in driving sales and building strong client relationships within the IT/ ITES sector, and will report to India Enterprise Head

This role involves building and scaling a strategic Go-To-Market service to help regional FMCG brands grow beyond their core markets using a combination of digital marketing, retail activation, and data-driven insights. The Vice President will own the full P&L, lead cross-functional teams, and work closely with founders to drive innovation, execution, and long-term growth.

This is an NCR based enterprise account director role focused on IT/ITes clients.

The ASM - Punjab will report to the RSM North and will grow business across the Automotive and Industrial markets, demonstrating strong leadership and strategic direction for our customers.

The job role entails you to ensure partner schools realize tangible value from the platform, drive adoption, and become enthusiastic advocates of the product.

This role involves managing accounts receivables and ensuring financial compliance. The position is based in Bangalore and requires a keen understanding of accounting practices within the Software sector.

• Define and execute a comprehensive marketing strategy
• Build and lead a high-performance marketing team

Data Scientist (IT)Position:

Data ScientistJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:



§ 5+ years in developing and implementing forecasting models

§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)

§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques

§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)

§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.

§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages

§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud

§ [Mandatory] Proficiency in version control systems such as GitHub

§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team

§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience

§ Experience in Beauty or Retail/FMCG industry is preferred

§ Experience in handling large volume of data (>100 GB)

§ Experience in delivering AI-ML projects using Agile methodologies is preferred

§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:

Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria

§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators

§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions

§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed

§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios

§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities

§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations

§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement

§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility

§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions

Highly experienced finance leader to head the Business Accounting function and drive end-to-end implementation of SAP across the organization. This individual will be responsible for ensuring accurate financial reporting, compliance, process automation, and system integration while building strong governance frameworks. Blend of deep accounting expertise, leadership capabilities, and strong technology transformation experience (preferably with SAP S/4HANA).

You would own the marketing demand generation engine for India, and then have a pathway to expand to a global remit

Work with the current team, while augment capabilities to look at XX YoY growth

• Work with the founders to ensure successful deployment, adoption and experience on the platform across the institutions
• Create and analyse reports from day to day operations, to drive revenue generation and product development

You'll be the architect of the HR function from the ground up, responsible for designing, implementing, and scaling all people-related systems and processes for a high-volume, high-tech automotive manufacturing site. This includes workforce planning, talent acquisition, compliance, culture-building, and change management-all while navigating the complexities of a greenfield setup.

This role leads the Project Management Office for a high-growth broadband and telecom infrastructure company, driving execution of large-scale OSP/ISP construction projects across North America. It requires strategic leadership, hands-on team management, and strong command over project delivery frameworks, risk control, and client success.

- This role blends executive support, event management, and vendor coordination to drive smooth operations and deliver exceptional experiences.

- It offers high visibility, working closely with leadership while managing multiple priorities and representing the organization's culture.

Founding Marketer for early stage SaaS firm.This is a 5 days WFO & Saturdays WFH role.

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

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

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