Data Scientist

Job Title:- Digital Marketing Executive

Experience:- 3-6 Years

Location:- Bangalore

Work Mode:- WFO

Primary Skills:-

3+  years experience as a Digital Marketing Professional 

Understanding the importance of the Website 

Experience in Email marketing and carry it to the digital forum 

Social media marketing - visibility 

Experience in branding 

Must understand page optimization and off page optimization, 

Understand the value of Search engine optimization but as a complementary skill. 

Blog writing and Content generation 

Secondary Skills :-

Knowledge on Google certification and Google analytics, Google AdWords 

 Setting up tracking systems for marketing campaigns and online activities 

Experience in Website maintenance and press releases 

Latest marketing techniques  

Qualification:- MBA ( Marketing ), BBA 

Responsibilities:-

Responsible for formulation and execution of the company’s Digital Marketing Strategy 

Creation and management of website 

Independently managing all digital marketing activities 

Set up and management of Linked in and twitter accounts 

Writing blogs and content on digital forum to ensure visibility 

Responsible to develop and implement the Online Marketing and Brand Positioning 

strategies 

Create key reporting and performance indicators based on business requirements 

Brand management on the digital forum  

Greetings!!

Wissen Technology is hiring for Architect role.

Required:

10+ years of experience in development.

Exposure on any of the backend tech stack.

Must have experience on working with Equity Swaps.

Must have experience on working with Banks.

Open to work from office on Hybrid mode.

Open to work from Bangalore location.

Company Profile:

Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

https://www.youtube.com/watch?v=H_rLmHvlOKg

Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview

LinkedIn: https://www.linkedin.com/company/wissen-technology

About us:

Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.

We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.

Qualifications:

• Overall experience of 4 to 7 years in ML
• B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)

Requirements:

• Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
• Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
• Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
• Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
• Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
• Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
• Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
• Proficient in writing GPU kernels using CUDA .
• Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
• Developed novel techniques for ML model measurement and mitigation.
• Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
• Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
• Experience with MongoDB, MySQL, and Vector databases.
• Experience with analytics.
• Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
• Experience in mentoring and growing engineers.

Additional Benefits:

Competitive compensation along with ESOPs of a path-breaking Fintech startup

1. Design patterns- socket communication/ micro services architecture 

2. Caching - REDIS MEMCACHED etc

3. Database - MONGO, SQL etc. min 2yrs experience with these.

4. Features created for large concurrent requests.

5. Node Js, Go lang any asynchronous programming language min 2 yrs exp with any one of them.

6. Message Queues - RABBIT MQ, Kafka etc.

7. Logging and APM (application process manager) good to have.

8. DS ALGO good to have.

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

Roles and responsibilities:

• Responsible for understanding functional and business requirements and translate them into effective code
• Provide support till deployment of code into production.
• Ownership for ensuring code optimization, problem diagnosis, and on-time delivery
• Implement solutions as per the pre-defined framework /guidelines and adherence to processes
• Finding an optimal solution for the problem statement
• Conduct peer code review.

What candidate should know about:

• Excellent hands-on experience with Node.Js, Express.Js, JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent hands-on experience with MongoDB, Mongo aggregation, MySQL
• Ability to build REST services, Authentications, MVC applications
• Excellent Object Oriented Programming skills and ability to write modular, secure, scalable, and maintainable code
• Experience with Elastic Search, Redis.
• Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)
• Self-learning abilities are required
• Familiarity with upcoming new technologies is a strong plus

We are looking for Full-stack engineers with a minimum of 2 to 3+ years of exposure to Node JS, Express JS, Mongo DB, and React JS to join our team.

At Aryston Web Solution Pvt. Ltd, you will use the latest software development languages, techniques, and approaches and work with a visionary team to build solutions you can be proud of.

Your role and responsibilities

• Creating solid back-end code with Node JS.
• Writing code in async-await architecture.
• Integrating REST APIs in front-end application using React JS
• Writing mongoose schema efficiently can implement MRC architecture in the express framework
• Implementing business logic in front-end applications using javascript, should be able to handle complex JSON architecture.
• Should be able to manage states using Redux, Redux thunk/saga, Mobx.
• Should be comfortable in using both functional and class components in React.
• Must be familiar with popular React UI libraries like Material UI, Antd.
• Implement best practices and constantly learn new ways of keeping codebases up to date.
• Having knowledge in Typescript, GraphQL, NextJS, Socket.io is like a match made in heaven.
• AWS SDK hands-on experience, Firebase Services experience, Oauth 2.0 handling knowledge are best to have.

Criteria

• 2+ years of work experience with Node JS, Mongo DB Javascript and React JS.
• Proficient understanding of code versioning tools, such as Git.
• You care about the design and user experience of an application. The choice of third-party libraries should be elegant.
• You must respect the timeline of the deliverables and releases.

Why Join Us?

Aryston Web Solution builds robust solutions for clients in 10+ sectors including cybersecurity, education, healthcare, hospitality, insurance, transportation which makes a positive impact in 5+ countries in the world.

We also have our B2B SAAS product and catering a wide range of clients through it.

At Aryston -

• Your work gets recognition from day 1.
• Since we work very closely, We honor the decision and opinions of our colleagues.
• We grow, you grow.
• We explore and learn new things together.
• Fixed working hours.
• We follow proper productive techniques to get things done, so there are fewer phone calls or boring meetings, and of course zero blame game.