Product Manager jobs in India

As Senior Product Manager, you will own the product vision and strategy, leading initiatives from conceptualization to launch and continuous improvement. You will work closely with cross-functional teams to deliver exceptional user experiences, drive adoption, and ensure measurable business impact.

The role of Associate Director, Product Manager requires a professional to lead product initiatives, ensuring alignment with business goals and customer needs. This position is based in Pune and focuses on driving innovation and delivering impactful solutions in the business services sector.

This is a Senior role in product management focused on Treasury Technology, where you'll conceptualize and deliver solutions for capital markets operations. Ideal for professionals with a background in trading, treasury, or financial technology.

The Product Marketing Manager will lead the development and execution of marketing strategies to drive product growth within the FMCG industry. Based in Mumbai, the role demands expertise in product positioning, market analysis, and cross-functional collaboration.

To drive exceptional growth by ensuring the quality, safety, and compliance of the product offering, while optimizing product recovery processes and preventing unnecessary costs related to the products.

The Product Marketing Manager will lead the go-to-market strategy, aligning product positioning and messaging.

The Senior Manager - Product will lead digital transformation initiatives within the professional services industry, focusing on enhancing product solutions and technology adoption. This role requires a strategic mindset and hands-on expertise in managing technology projects tailored for law firms in Mumbai.

• 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

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

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