11+ Apache Struts Jobs in India

Hiring for Automation Lead

Work Location : Mumbai Vikrholi

Hybrid

Notice Period : Immediate - 15 days

Skills :

Experience with a variety of testing techniques such as UI Testing, Automated Testing, Test Driven Development Strategies .

Experience with coding using JAVA, HTML5, DB2, XML .

Experience with web security technology & software QA tools .

Hands-on experience with both white box and black box testing

Hands-on experience with automated testing tools Solid knowledge of SQL and scripting.

About Us: We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Senior Paid Media Executive

Experience Level: 2.5+ Years

Location: Bangalore, Karnataka (On-site).

Responsibilities:

● Budget Handled on Google AdWords, Facebook Ads, Instagram Ads.

● Proven track results of Ad creation, execution and monitoring.

● Well aware of Meta ads, Instagram Ads, Google Ads, LinkedIn Ads, Facebook business manager.

● Create and manage content marketing strategies.

● Forecast marketing campaign growth and ROI for marketing campaigns

● Keep abreast of new social media sites, web technologies, and digital marketing trends; implement these new technologies in developing campaigns and update current campaigns to include new information.

● Drive traffic, generate leads to company pages.

● Adhering closely to deadlines & to budget, developing and revising ideas, and implementing projects.

Responsibilities:

• Design and develop strong analytics system and predictive models
• Managing a team of data scientists, machine learning engineers, and big data specialists
• Identify valuable data sources and automate data collection processes
• Undertake pre-processing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements:

• Proven experience as a seasoned Data Scientist
• Good Experience in data mining processes
• Understanding of machine learning and Knowledge of operations research is a value addition
• Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
• Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
• Strong math skills (e. g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• Experience in Natural Language Processing (NLP)
• Strong competitive coding skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

The RPA Business Analyst will play a key role in analysing banking processes to identify opportunities for automation and optimization using Robotic Process Automation (RPA) tools. With experience in the banking domain, the candidate will collaborate with stakeholders, gather requirements, document processes, and work closely with RPA developers to design, implement, and improve automated workflows.

Synopsis

• We are seeking an experienced Node JS Mongo DB Developer to join our development

team.

• As a Node.js MongoDB Developer, you will be responsible for designing, implementing,

and maintaining server-side applications using Node.js and MongoDB.

JOB ROLE :

• Integration of user-facing elements developed by front-end developers with server side

logic

• Writing reusable, testable, and efficient code

• In depth knowledge of node js and Express framework (more frameworks will be

preferred)

• Design and implementation of low-latency, high-availability, and performant applications

• Implementation of security and data protection

• Experience with Elastic search mongo database and SQL

• Strong proficiency with JavaScript.

• in depth knowledge on how JS works.

• Bonus points for experience working with GCP or AWS ecosystem such as Kubernetes,

• Familiarity working with VCS such as Bitbucket, Github/Gitlab

• Experience in automated unit test development practices and design methodologies

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

We at Thena are looking for a Machine Learning Engineer with 2-4 years of industry experience to join our team. The ideal candidate will be passionate about developing and deploying ML models that drive business value and have a strong background in ML Ops.

Responsibilities:

• Develop, fine-tune, and deploy ML models for B2B customer communication and collaboration use cases.
• Collaborate with cross-functional teams to define requirements, design models, and deploy them in production.
• Optimize model performance and accuracy through experimentation, iteration, and testing.
• Build and maintain ML infrastructure and tools to support model development and deployment.
• Stay up-to-date with the latest research and best practices in ML, and share knowledge with the team.

Qualifications:

• 2-4 years of industry experience in machine learning engineering, with a focus on natural language processing (NLP) and text classification models.
• Experience with ML Ops, including deploying and managing ML models in production environments.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Embeddings and building on top of LLMs.
• Strong problem-solving and analytical skills, with the ability to develop creative solutions to complex problems.
• Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

BDE-Based out of Gandhinagar
Roles and Responsibilities :

You will be required perform primary and secondary research to build a detailed understanding of the target market, industry, opportunity & devise a detailed sales plan and implement it.

• Oversee the sales process to attract new clients.
• Finalizing the deal
• Build long term business relationships with client leaders and decision makers.
• Maintaining meaningful relationships with existing clients to ensure that they are retained.
• Maintain fruitful relationships with clients and address their needs effectively.
• Research and identify new market opportunities .
• Need to approach through email, Zoom meeting, Calls and Visit

     Desired Candidate Profile

• Dynamic personality with excellent verbal, written, presentation skills, capable of giving demos independently
• Fast learner and passion for sales
• Self-motivated with a result driven approach.
• Strong inter-personal skills.