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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.
You will lead all engineering efforts, responsible for setting the technology vision and roadmap for a product that is already well-adopted by some of the world's largest companies. This is a hands-on leadership role that requires strong technical expertise to drive the core product offering and explore new AI/ML-driven products.
Our client is looking for a highly skilled and hands-on lead engineers with recent experience in mentoring juniors within a dynamic product-based start-up environment.
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.
Looking for a Sr AI Engineer having expertise of working in LLM and advace AI skillsets including RAG, GAN etc. Having experience in designing and implementing AI/ML algorithms and models.
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.
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
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Job Location: Bengaluru, India Job Type: Full-time Experience: 2+ years
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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:
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:
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