Product Manager jobs Gurgaon

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

Oversee the system design, project management, and product approval processes for electric vehicle chargers. This role requires a deep understanding of system engineering principles, expertise in project tracking, and a robust background in design reviews and product certifications.

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