Top 10 Neural Network Jobs to Apply for in June 2022

Top 10 Neural Network Jobs to Apply for in June 2022
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Neural network concept has its roots in AI and is gaining popularity in the development of trading systems

A neural network is a collection of algorithms that are roughly fashioned after the human brain and are developed to recognize patterns. They can interpret data by employing machine perception, grouping, or categorizing raw input. They recognize patterns in vectors of real numbers, into which all real-world data, whether text, sound, time series, or images, is expected to be transformed. Using intelligent automation to accelerate a company's growth could be the smartest option business leaders can make to stay ahead of the competition. A neural network can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria. The concept of the neural network, which has its roots in artificial intelligence, is swiftly gaining popularity in the development of trading systems. Let's look at the top neural network jobs to apply for in June 2022.

Cyber Crime Analyst

Barclays

Pune, Maharashtra

Responsibilities

Interpret synergies between pieces of intelligence to identify potential changes to the cybercrime threat landscape

Identify and disseminate well-formulated recommendations to teams across the bank to mitigate the loss to the bank and its customers

Help to maintain strong relationships with industry partners and law enforcement colleagues to enable Barclays to tackle cybercrime at an industry level

Support the team while conducting deep-dive analysis on both successful and near-miss fraud cases to draw out cyber-enabled fraud trends and identify required changes to the banks' fraud control systems

Click here to apply

Specialist, Digital GP&L

Danfoss 

Chennai, Tamil Nadu

Responsibilities:

Identify use cases – work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

Processing, cleansing, and verifying the integrity of data used for analysis

Data mining using state-of-the-art methods

Selecting features, building and optimizing classifiers using machine learning techniques

Creating visualizations of complex data sets for easy understanding by business partners

Doing ad-hoc analysis and presenting results in a clear manner

Enhancing data collection procedures to include information that is relevant for building analytic systems

Creating automated anomaly detection systems and constant tracking of its performance

Analyze, Manipulate, and Validate data using SQL, R, Python, and other analytical tools

Develop, test, and pilot your solutions

Click here to apply

AI Frameworks Marketing Analyst

Intel Corporation

Bengaluru, Karnataka

Responsibilities:

Work with the cross-functional teams; including product management, engineering, and sales to develop comprehensive communications plans around new framework-specific product features

Oversee the content creation that benefits AI developers in understanding these new product offerings and leads them to advocacy

Help define the content strategy by channel

email nurtures, community alliances, social and video platforms

Manage agency relationships to ensure successful delivery of content or marketing activity

Click here to apply

Risk Model Development Analyst II-GMRA

Citi 

Mumbai, Maharashtra

Responsibilities:

This role will support consumer risk scoring-related modeling, documentation, ad-hoc analytics, automation related activities for certain consumer portfolios including credit cards, loans, and others under the guidance of a senior manager. Ideal candidates will have 2-4 years of analytics experience covering data pulling/manipulation, predictive modeling, coding, and analysis.

Skills:

Strong knowledge of Python, and SAS.

Preferred knowledge of SQL, R, big data tools such as PySpark, Hadoop, Hive, etc

Knowledge of scoring model development, credit risk, lending

Experience in data manipulation, processing, and predictive modeling such as regression, decision trees, gradient boosting machines, random forests, neural networks, etc

Click here to apply

Lead Data Science Engineer – Python/Neural Networks

Huquo Consulting Pvt. Ltd

Gurgaon/Gurugram

Responsibilities:

Utilizing Natural Language Processing tools and libraries to extract valuable business data from documents

Applying Machine Learning /Deep Learning techniques to analyze the extracted data

Adjustment of the models and algorithms to improve the accuracy of the result

Sharing technical expertise with the team brings new practices and techniques

Integration of the developed application with producers and consumers of data

Break down large or complex data science projects into meaningful subprojects

Ensure a common understanding and agreement on data science project scope and goals and any subsequent changes

Click here to apply

Data Governance Analyst

Micron Technology

Hyderabad, Telangana

Responsibilities:

Develop control structures within a simple environment to ensure the accuracy and quality of data through all upstream and downstream data channels

Provide thought leadership and participate in projects that involve any of the upstream or downstream data flows and processes

Ensure controls are in place over applications to ensure data integrity by performing data integrity gap analysis

Coordinate the resolution of data integrity gaps by working with the business owners and IT

Work with business partners to gather and understand functional requirements, develop complex queries and provide reports

Click here to apply

Data Science Specialist

PwC India 

Kolkata, WB

Requirements:

Understanding of functional process and business objectives. Ability to engage with clients to understand current and future business goals and translate business problems into analytical frameworks

Excellent programming skills in Python. Strong working knowledge of Python's numerical data analysis and AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc

Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised), Deep Learning algorithms, and Artificial Neural Networks

Experience with Natural Language Processing and Text Analytics for information extraction, parsing, and topic modeling

Click here to apply

Lead Data Scientist

OptumLabs

Responsibilities:

Produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets

Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data

Analyze large amounts of data and identify anomalies, recognize patterns, and provide business-level insights

Work with multiple sources of data, data structures, and pipelines and effectively form a combined dataset powerful enough for modeling

Click here to apply

Data Analyst

TMF Group

Responsibilities

Understanding Business processes and the existing ecosystem

Understand Business KPIs, metrics, and their calculations

Analyze, understand, and model data being used in the process and (re)define process flows, reporting, and data visualization that improves efficiency in how we deliver outputs and insights to Business users

Perform Descriptive, Diagnostic, and Predictive analytics.

Identify key insights and relations from data in the context of the Business scenario

Share analysis with Business users

Work collaboratively with Business users to deliver insights in an agile manner;

Design high-quality reports and dashboards selecting the right types of visuals and presentations considering the best user experience

Click here to apply

Machine Learning Engineer

Seven Consultancy (HR Solution)

Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Click here to apply

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