Data engineer - Machine learning

Mandatory Skills:

JavaScript, Typescript, SEO, Next.js

Required Skills & Qualifications:

• 8–10 years of frontend development experience with strong proficiency in TypeScript and JavaScript.
• Extensive hands-on experience in Lit.js (Web Components) and Next.js (SSR/SSG).
• Proven leadership in architecting frontend solutions and guiding teams through scalable development.
• Deep understanding of Technical SEO, including schema markup, crawlability, and frontend optimizations for search.
• Expertise in Core Web Vitals, Lighthouse, and performance optimization tools.
• Strong knowledge of responsive design, accessibility standards (WCAG), and cross-browser compatibility.
• Experience integrating frontend with Strapi CMS and RESTful or GraphQL APIs.
• Strong familiarity with Git, Agile methodologies, and CI/CD workflows.
• Excellent communication and collaboration skills, with experience working across disciplines.

Key Responsibilities:

• Architect and lead frontend development using Lit.js, Next.js, and TypeScript, ensuring scalable, modular, and maintainable code.
• Own and evolve the frontend technical stack, enabling performance, SEO, accessibility, and developer efficiency.
• Guide the team in building highly-performant web interfaces with a focus on Core Web Vitals, Lighthouse, and DevTools insights.
• Champion Technical SEO implementation, including structured data, metadata optimization, and SSR/SSG strategies.
• Lead code reviews, pair programming sessions, and enforce code quality standards through tools like SonarQube.
• Mentor and manage 3–5 frontend engineers, fostering technical growth and ensuring delivery quality.
• Collaborate cross-functionally with design, product, backend, SEO, and QA teams to ship robust and accessible user experiences.
• Drive and enforce best practices in unit testing, CI/CD pipelines, and agile workflows.
• Troubleshoot complex UI issues and proactively improve front-end architecture and processes.

1. Solid Databricks & pyspark experience 

2. Must have worked in projects dealing with data at terabyte scale

3. Must have knowledge of spark optimization techniques 

4. Must have experience setting up job pipelines in Databricks 

5. Basic knowledge of gcp and big query is required 

6. Understanding LLMs and vector db

Role: Lead AI Engineer

Exp: 3-6 Years

CTC: 35.00-40.00 LPA

Work Mode :WFH

Mandatory Criteria (Can't be neglected during screening) :

• Need Excellent Communication skills as the company is dealing with US Clients also

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

• Proficiency with cloud platforms (AWS, Azure, GCP)

• Interacting via various channels, such as live chat, emails, social media and direct calls
• Modifying sales pitches in response to customer demand
• Acquiring and retaining contact information databases
• Put forward suggestions in accordance with the requirements of the consumer
• Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action
• Must be comfortable with onsite shift

Responsibilities 

• Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of users, and acquisition channels.
• Run exploratory analysis uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity.
• Help execute projects to drive insights that lead to growth.
• Work closely with marketing, design, product, support, and engineering to anticipate analytics needs and to quantify the impact of existing features, future product changes, and marketing campaigns.
• Work with data engineering to develop and implement new analytical tools and improve our underlying data infrastructure. Build tracking plans for new and existing products and work with engineering to ensure proper
• Analyze, forecast, and build custom reports to make key performance indicators and insights available to the entire company.
• Monitor, optimize, and report on marketing and growth metrics and split-test results. Make recommendations based on analytics and test findings.
• Drive optimization and data minded culture inside the company.
• Develop frameworks, models, tools, and processes to ensure that analytical insights can be incorporated into all key decision making.
• Effectively present and communicate analysis to the company to drive business decisions.
• Create a management dashboard including all important KPIs to be tracked on a company and department level

• Establish end to end campaign ROI tracking mechanism to attribute sales to specific google and Facebook campaigns

Skills and Experience

• Minimum 1-2 years of proven work experience in a data analyst role.
• Excellent analytical skills and problem-solving ability; the ability to answer unstructured business questions and work independently to drive projects to conclusion.
• Strong analytical skills with the capacity to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience extracting insights using advanced SQL or similar tool to work efficiently at scale. Advanced expertise with commonly used analytics tools including Google Analytics, studio and Excel.
• Strong knowledge of statistics, this includes experimental design for optimization, statistical significance, confidence intervals and predictive analytics techniques.
• Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast-paced environment.
• Active team player, excellent communication skills, positive attitude and good work ethic.

What you need to have: 

Role and responsibilities

• Expertise in AWS (Most typical Services),Docker & Kubernetes.
• Strong Scripting knowledge, Strong Devops Automation, Good at Linux
• Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
• Strong understanding of AWS networking and. Strong with Security & Certificates.

Nice-to-have skills

• Involved in Product Engineering

• Manage, review, and perform daily account responsibilities associated with Google AdWords, Yahoo, Bing and other search platforms for a variety of clients.
• Maintain and monitor keyword bids, account daily and monthly budget caps, impression share, quality score and other important account metrics.
• Manage the creation of large keyword lists.
• Provide creative copy suggestions and graphical ad templates.
• Manage Display network placement lists on AdWords and through other contextual advertising platforms.
• Provide recommendations and execute strategies for keyword opportunities, campaign structuring, targeting, display network, and other facets of paid search in accordance with client goals.
• Provide oversight and manage new paid search campaigns, ad groups, and accounts and aid in the creation of paid search marketing initiatives.
• Provide oversight, manage, and be able to generate weekly and monthly client reporting for all major metrics, goals tracking, revenue tracking, and other paid search initiatives.
• Keep pace with search engine and PPC industry trends and developments.
• Monitor and administer web analytics dashboards, reports and key reporting tools, and point out key areas of importance in accordance client goals.
• Monitor and evaluate search results and search performance across the major search channels.
• Communication to team and management on project development, timelines, and results.
• Provide oversight and work closely with the other team members to meet client goals.