2 Data Retrieval Jobs

About this role: Wells Fargo is seeking a Lead Analytics Consultant with a proven track record of success preferably in the banking industry. In this role, you will: Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards Provide influence and leadership in the identification of new tools and methods to analyze data Ensure adherence to compliance and legal regulations and policies on all projects managed Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors Required Qualifications: 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: 5+ Years hands on experience of working with SQL is a must. SQL: Write and optimize complex SQL queries for data retrieval, manipulation, and reporting. Design and implement efficient database structures and schemas to support application functionality. Collaborate with stake holders to understand data needs and translate them into effective database solutions. Ensure data integrity, security & compliance with regulatory standards. Demonstrate comprehensive understanding of US home mortgage business and related processes. Minimum of 2 years of experience in leading teams and managing the delivery of projects or initiatives. Consultative skills: should have the ability to rationalize business needs and solution design from people not knowing how to ask precisely for what they need. Excellent communication and interpersonal skills to build and maintain relationships at all levels, engage and influence stakeholders. Proven experience in aspirational people leadership, demonstrating the ability to inspire and motivate teams towards common goals Ability to perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendations to business leaders & partners. Strong understanding of business drivers and industry trends of lending products & home lending in specific. Detail oriented, results driven, and can navigate in a quickly changing and high demand environment while balancing multiple priorities.

Job Description The Video Perception (ViPER) team is responsible for developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing end-to-end solutions by leveraging the latest advancements in the field of computer vision/deep learning. Our goal is to drive the future of autonomous driving systems by providing reliable, high-performance video perception systems. We are looking for a talented & driven engineers to join our Retrieval team within ViPER which is responsible for building high-performance systems to ingest and retrieve large-scale driving data, critical for training and validating ADAS models. You will work closely with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features. The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval & recommendation systems, and a strong understanding of deep learning fundamentals. You will deploy tools & services which will be used to retrieve edge-case scenarios, be responsible for developing powerful search and indexing tools, and optimize data pipelines for automating dataset curation for training & validation. Requirements Strong technical background: At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing vision-based algorithms [prior knowledge of working with deep neural networks is a strong plus]. Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills. Passionate about solving real-world problems: Ideally worked on autonomous driving systems before. A team player: You take ownership and work with the team to deliver exceptional results. Ability to build and iterate quickly (AGILE mindset). You enjoy working in a fast-paced environment, and you are comfortable in all stages of a product development cycle. Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation & deployment. Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation. Skills Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised & Self-supervised learning & Transfer Learning, CNNs and transformers, Real-time model deployment and optimization, Data augmentation and annotation, Scene understanding and 3D perception, Active learning and Semi-automated data annotation techniques Hands on experience in Full stack Vision/Image related projects in production (3yrs min) Data: Visualization, Data preparation, Data handling, Data analysis & deriving insights Model frameworks: Tensorflow & PyTorch Deployment: Docker, Kubernetes Cloud deployment: Azure/AWS Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems Qualifications B.E/B.Tech