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About the Role: Agency Solutions Specialist

• To support our fast-growing business in APAC, US & Europe, we are looking to expand our Business Development team.
• This role is a mixture of sales and account management; nurturing, developing and expanding a portfolio of clients globally. This role will be based out of Bengaluru.

Responsibilities

• Establishing new agency and client relationships and win deals
• Organising meetings with the identified customers, and ability to make persuasive presentations
• Consultative sales of Shopalyst’s platform solutions to Media Agencies and advertisers.
• Negotiating pricing and contractual agreements
• Building and managing a strong pipeline of potential clients sufficient to exceed annual sales goals
• Achieving monthly, quarterly and annual sales targets
• Keeping CRM up to date to provide relevant and accurate forecasts
• Directly managing ongoing relationships with key agency stakeholders, enterprise accounts in the region, as appropriate
• Managing & growing existing accounts through new business, renewals and upsells

Role Requirements

• Solid B2B SaaS sales experience selling into large Enterprise Accounts, with a track record of consistently meeting targets OR
• 1-3 years of relevant experience in client services or digital marketing (media planning, ad ops, account management etc.) at a media agency, technology, e-commerce or media company.
• A consultative sales style, strong experience selling solutions and the ability to thrive in a fast-paced environment.
• Excellent communication, and interpersonal skills with ability to deal with people at all levels.
• Ability to travel up to 50% of the time.

You will be getting leads from the company. You need to build and maintain business relationships with new and existing customers. You understand customers' needs and recommend appropriate solutions, negotiate with clients to help them move down the sales funnel, record client feedback and maintain a customer database. 

Data Scientist – Delivery & New Frontiers Manager 

Job Description:   

We are seeking highly skilled and motivated data scientist to join our Data Science team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for designing, developing, and deploying data science solutions that drives business values for stakeholders. This role involves mapping business problems to a formal data science solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the data science product with the support from MLOps team and facilitating business workshops. In a nutshell, this person will represent data science and provide expertise in the full project cycle. Expectation of the successful candidate will be above that of a typical data scientist. Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. 

Responsibilities: 

• Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities. 
• Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform. 
• Collect, clean, and preprocess large datasets from various internal and external sources.  
• Streamlining data science process working with Data Engineering, and Technology teams. 
• Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.  
• Develop and maintain data pipelines and infrastructure to support the data science projects 
• Communicate findings and recommendations to stakeholders through data visualizations and presentations. 
• Stay up to date with the latest data science trends and technologies, specifically for GCP companies 

Education / Certifications:  

Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics. 

Job specific requirements:  

• Brings 5+ years of deep data science experience 

∙       Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon 

• Experience with programming languages such as Python, R, Spark 
• Experience with data visualization tools such as Tableau, Power BI, and D3.js 
• Strong understanding of data structures, algorithms, and software design principles 
• Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage 
• Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub. 
• Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs. 
• Strong analytical and problem-solving skills 
• Excellent verbal and written communication skills 
• Working knowledge with application architecture, data security and compliance team. 

Global IP Partners is hiring freshers for the following position:

Business Development Executive - 0+ Years of Experience.

#location: Mohali/Chandigarh

#5daysworking

Education Qualification Required: Graduate in any field

Skills required:

Extremely good hunting skills

Full-time Direct Sales professionals

Good verbal communicator

Excellent written communication skills

#Refrences are always welcomed!

Interested candidates kindly apply.

• Must have experience in either of JavaScript frameworks: Angular
• Must have experience in either of backend software development [J2EE, Spring Boot, Spring core, JPA]
• Must have experience in designing/implementing Hibernate/ORM, Restful web services, Micro Services using Java
• Knowledge with relational/ NoSQL databases (e.g., Oracle, MySQL, MongoDB)
• Knowledge with versioning (Git or SVN) /build tools (Maven/Ant/Gradle/Junit), Unit testing & code coverage tools is desired
• Knowledge of App / Web servers (NGINX / Tomcat / Jboss Wildfly)
• Understands the process of new application development and has the ability to apply these concepts with minimal mentoring and supervision.
• Advanced knowledge experience using any of IDE (e.g., Eclipse, SonarQube, STS, VS Code)
• Knowledge on Cloud platform, technologies & deployments is an added advantage
• Resolves technical issues through debugging, research, and
• Must have experience with Agile tools

• Good knowledge in product development domains
• Knowledge in Finance and Insurance domain preferred
• Maintain quality and ensure responsiveness of
• Complete application development by coordinating requirements, schedules, and activities contributing to team meetings;
• Troubleshooting development and production problems across multiple environments and operating platforms.
• Collaborate with the rest of the engineering team to design and launch new features
• Understanding and implementation of security and data
• Ensure designs are in compliance with specifications and standards and best industry
• Usage of Process tools – JIRA, TFS, HP QC or any other agile tools, also knowledge of CMM Level 3 development process.
• Self-motivated & working independently with minimal
• Maintain code integrity and
• Experience working with graphic designers and converting designs to visual
• Follow the coding standards for java and angular

• Usage of troubleshooting tools like J Profiler, J Meter or application performance tuning
• Exposure to Non-web-based developments, for both mobile and
• Development experience using Docker, Kubernetes, Containerization etc in AWS or other cloud platforms
• Willing to take up proof of concepts and showcase the technical capability
• Usage of design tools Visio or draw io
• Usage of CI/CD pipeline

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Generate, edit, publish and share daily content on all social media platforms (original text, images, or video) that builds meaningful connections and encourages community members to take action. (Ability to write content for social media posts is a must)
• Set up and optimize company pages within each platform to increase the visibility of company’s social content
• Develop, implement and manage the company’s social media strategy
• Manage and oversee social media content
• Collaborate with other departments (customer relations, sales etc) to manage reputation, identify key players and coordinate actions.
• Communicate with industry professionals and influencers on social media to create a strong network and leverage it for collaborations.
• Suggest and implement new features to develop brand awareness, like promotions and competitions.
• Stay up-to-date with current technologies and trends in social media, design tools and applications.
• Monitor and evaluate performance across the company's social channels in order to improve engagement.
• Execute quarterly marketing plans to meet overall business targets.