Technology jobs in India

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

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

The role of ST Technology Head involves leading technical services team and heads sustainable transportation team.

The role of Finance Controller in the technology industry is ideal for a detail-oriented professional with expertise in accounting and finance. Based in Thane, this position involves managing financial operations and ensuring compliance with industry standards.

The Finance Controller will oversee financial accounting, controlling, planning, reporting, and compliance for a leading company in the technology sector. This role, based in Mumbai, requires strong expertise in accounting, finance and compliance to drive business success.

An exciting opportunity for a strategic HR leader in a rapidly scaling, tech-driven platform operating across e-commerce, retail, supply chain, and gig workforce models. The HR Head will partner with founders and senior leadership to build and execute scalable HR strategies-encompassing talent acquisition, performance management, culture, compliance, and HR technology-while bringing strong business acumen and coaching expertise

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 requires a skilled HRBP to partner with business leaders in the Technology industry, ensuring alignment between HR strategies and organisational goals. The ideal candidate will focus on driving talent management, employee engagement, and workforce planning initiatives.

- 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.

An excellent career opportunity to work with a global recruitment consulting firm, Michael Page within Page Contracting . The person in this role will take care of Contract to Hire roles across levels for our tech clients based out of Chennai.

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

The Director of Operations leads all aspects of the KPO division's operations, ensuring efficiency, resource optimization, and client satisfaction

The role demands strategic oversight, team leadership, and technology adoption to drive continuous improvement and growth.

Location - Jabalpur

The Senior Recruiter will own the end-to-end recruitment function with a growing healthcare technology company. This role involves partnering closely with internal stakeholders to build a strong talent pipeline and support rapid scaling efforts.

We are seeking a dedicated Finance/Digital transformation professional to join a leading Technology company based out of Bengaluru. This role will lead the design, deployment, and scaling of digital tools, automation frameworks, and data-driven processes that improve financial accuracy, reporting, controls, and efficiency across the organization.

A high-impact leadership role to build and lead the Talent Acquisition function for a fast-scaling global organisation, with India headcount expected to grow to 5,000 by year-end. The role requires strategic thinking, global stakeholder management, and experience in setting up scalable TA structures across tech and digital domains.

Candidates with 2 to 8 years of experience from Real estate experience working in Warehousing leasing, Real estate industry should apply

We're hiring a Business Development Representative (BDR) on behalf of our client to support their continued growth. This is a high-impact role where you'll help drive pipeline generation, initiate conversations with key decision-makers, and collaborate closely with the sales and marketing teams. If you're motivated, tech-savvy, and excited about working in a fast-paced SaaS environment, this could be a great fit.

The client is seeking a dynamic Digital Analytics Leader to shape its global digital future by building and driving digital analytics and AI practices, delivering insights, and enabling enterprise-wide automation. The role will leverage current and emerging technologies to transform client's business, driving intelligent automation solutions and shaping the AI/ML, analytics, and reporting strategy.

The Professional Consultant (Legal) will provide expert legal advice and support to ensure compliance and mitigate risks within the organization.

This role focuses on delivering high-quality legal solutions in the IT/ITeS sector.

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;

The Senior Manager Taxation role is designed for an experienced professional to oversee and manage all tax-related activities, ensuring compliance with regulations and optimising tax strategies. This position offers an opportunity to work in International Taxation, PoE, PoEM, transfer pricing, annual tax planning and strategy and tax advisory.

Our client is seeking a stellar Solutions Consultant to join their team and help accelerate growth. As an expert on their platform, you will lead technical demos, Proof of Concepts, and collaborate closely with Sales to articulate their solution's value to prospects and customers.

This is a high-impact role where you will own our visual identity, starting with a complete overhaul of the client's website. Your work will directly shape the brand is perceived by Fortune 500 enterprises and the broader AI ecosystem.

This role leads end-to-end execution of large-scale CAPEX projects covering all phases from technology licensing and FEED to procurement, construction, and commissioning. The position demands strategic leadership, cross-functional coordination, and a strong focus on cost, quality, safety, and regulatory compliance.