SDET-3

Title                                 : Snowflake Cortex AI Engineer

Experience                    : 5+ years

Location                         : Remote

Work type                      : Remote

Employment Type      : Full Time

Notice Period               : Immediate

Work Day                      : Mon to Fri

About the Role:

We are seeking a highly skilled Snowflake Cortex AI Engineer with 5+ years of experience in Data Engineering, AI, and Snowflake. The ideal candidate will have hands-on expertise in Snowflake Cortex AI, Snowpark, and Generative AI capabilities to build intelligent, scalable, and secure AI-powered data applications. The role involves designing AI-driven solutions, integrating LLM capabilities into enterprise workflows, and collaborating with cross-functional teams to deliver business value.

Key Responsibilities:

• Design, develop, and implement AI-powered solutions using Snowflake Cortex AI.
• Build intelligent data applications leveraging Snowpark, Cortex AI functions, and SQL.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data stored in Snowflake.
• Integrate Large Language Models (LLMs) into enterprise applications using Snowflake Cortex.
• Design and optimize AI workflows for document summarization, sentiment analysis, classification, translation, question answering, and text generation.
• Develop scalable data pipelines to support AI and machine learning workloads.
• Collaborate with Data Engineers, Data Scientists, and business stakeholders to understand AI use cases and deliver effective solutions.

Ensure AI solutions comply with enterprise security, governance, and data privacy standards.

• Optimize Snowflake performance and AI workloads for scalability and cost efficiency.
• Participate in architecture discussions, code reviews, and technical documentation.

Required Skills & Experience

• 5+ years of experience in Data Engineering, AI/ML, or Analytics.
• Strong hands-on experience with Snowflake.
• Experience working with Snowflake Cortex AI capabilities.
• Strong understanding of Snowpark (Python or SQL).
• Experience building AI-powered applications using enterprise data.
• Hands-on experience with Python and SQL.
• Knowledge of Generative AI, Prompt Engineering, and Large Language Models (LLMs).
• Experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
• Strong understanding of data modeling and data warehousing concepts.
• Experience developing and optimizing ETL/ELT pipelines.
• Experience integrating REST APIs and external AI services. 

Technical Skills

• Snowflake
• Snowflake Cortex AI
• Snowpark
• SnowSQL
• Snowpipe
• Streams & Tasks
• Secure Data Sharing
• Performance Optimization
• Role-Based Access Control (RBAC) 

Programming

• Python
• SQL
• AI & Machine Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Model Integration
• Text Analytics
• Semantic Search
• Data Engineering
• ETL/ELT Development
• Data Warehousing
• Data Pipelines
• Structured & Semi-Structured Data Processing
• Cloud (Preferred)
• AWS / Azure / GCP

Preferred Skills

• Experience with vector search and semantic search concepts.
• Knowledge of Snowflake Cortex Analyst, Cortex Search, or Cortex Agents.
• Experience with AI governance and responsible AI practices.
• Familiarity with LangChain, LangGraph, or similar AI orchestration frameworks.
• Exposure to ML model deployment and MLOps practices.
• SnowPro certification is an added advantage. 

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, or a related field.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to translate business requirements into AI-driven solutions.
• Strong collaboration and teamwork skills.
• Self-driven with the ability to work independently in a remote environment.

Job Title - Performance Marketing Manager

Location - Pune 

We are looking for a highly skilled and experienced Performance Marketing Manager to join our team at Propacity. In this role, you will drive digital marketing strategies specifically tailored for the real estate sector, focusing on customer acquisition, lead generation, and revenue growth.

You will have a deep understanding of various online marketing channels, analytics, and performance tracking to optimize campaigns and maximize return on investment (ROI). This role requires a data-driven mindset, strong analytical skills, and the ability to manage multiple projects simultaneously.

Responsibilities

• Develop and execute comprehensive performance marketing strategies to drive customer acquisition, retention, and revenue growth.
• Plan and manage digital advertising campaigns across various channels, including paid search, display advertising, social media advertising, and affiliate marketing.
• Conduct thorough market research and analysis to identify target audiences, competitive landscape, and emerging trends to optimize campaign targeting and messaging.
• Monitor and analyze key performance indicators (KPIs) to assess campaign effectiveness and identify areas for improvement.
• Develop and execute performance marketing campaigns across digital channels such as Google Ads, Facebook, Instagram, and LinkedIn
• Collaborate with cross-functional teams, including creative, content, and development, to ensure seamless execution of marketing campaigns.
• Utilize web analytics tools to track, measure, and report on campaign performance, providing actionable insights and recommendations for optimization.
• Lead client calls for optimization and reporting purposes.

Skills and Qualities:

• Bachelor's degree in marketing, business, or a related field. A master's degree is a plus.
• Proven 3+ years of work experience as a Performance Marketing Manager or in a similar digital marketing role.
• Experience of working in the Real Estate Industry.
• Strong understanding of performance marketing concepts, channels, and best practices.
• Proficiency in using digital advertising platforms, such as Google Ads, Facebook Ads Manager, and other programmatic platforms.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and influence stakeholders.
• Up-to-date knowledge of the latest digital marketing trends, technologies, and industry best practices.

What We Offer:

• Learn from industry experts and scale your career in real estate performance marketing.
• Be part of an innovative, data-driven, and supportive team.
• Access the latest marketing automation and analytics platforms.

Thirumoolar IT Solutions is looking for a motivated and enthusiastic Fresher Trained Dataset Engineer to join our team. This entry-level position is ideal for recent graduates who are eager to apply their academic knowledge in a practical setting and contribute to the development of high-quality datasets for machine learning applications.

Responsibilities

Assist in the collection, cleaning, and preprocessing of data to ensure it is ready for training machine learning models.

Collaborate with senior dataset engineers and data scientists to understand the requirements for specific machine learning tasks.

Participate in the annotation and labeling of datasets, ensuring accuracy and consistency in data representation.

Conduct quality checks on datasets to identify and rectify errors or inconsistencies.

Support the development of documentation and guidelines for data annotation processes.

Stay updated with the latest tools and techniques in data processing and machine learning.

Skills and Qualifications

Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.

Basic understanding of machine learning concepts and the importance of high-quality datasets.

Familiarity with programming languages such as Python or R is a plus.

Knowledge of data manipulation libraries (e.g., Pandas, NumPy) is advantageous.

Strong analytical skills and attention to detail.

Excellent communication and teamwork abilities.

A passion for learning and a desire to grow in the field of data engineering.

Preferred Location

Candidates based in Tamil Nadu or those willing to work from home are encouraged to apply.

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

CoverSelf is an InsurTech start-up, empowers payers and providers with a truly NEXT-GEN cloud-native, holistic & customizable platform preventing and adapting to the ever-evolving claims & payment inaccuracies. Reduce complexity and administrative costs with a unified healthcare dedicated platform. Founded in August, 2021, we are backed by industry veterans.

We foster an environment of employee empowerment whereby each team member is given the freedom to demonstrate excellence through their skills, character, and background. Our team members are motivated individuals who help each other do remarkable things every day.

About the role:

We are looking for a Frontend developer who would be working on the bleeding edge of technologies. We work primarily with React, Typescript and Redux.

Responsibilities:

• Understand why a particular design was chosen and code accordingly 
• Will have to deliver clean bug free unit tested code with minimal guidance
• Strive for continuous improvement by refactoring and applying best practices 
• Learn and adapt to new technologies as necessary.

 Requirements:

• Must be proficient in React, Redux, Redux Toolkit and Typescript
• Used Typescript for React Components
• Unit testing, Component testing and Custom React hook tests with React Testing Library
• Integration tests with Cypress
• Data fetching libraries like Axios, React Query, RTK Query etc.
• Should have maintained React Components with Storybook.
• Used various CSS stylings methods like CSS Modules, LESS, SCSS, Tailwind, Styled Components, Emotion etc.
• Should understand Git 
• Ability to work in a fast-paced and dynamic work environment
• Exceptional interpersonal skills and demonstrated leadership abilities

Work Location: Jayanagar, Bangalore, Karnataka

Work Mode: Onsite

Benefits: Competitive Compensation, Health & Personal Accident Insurance, Friendly Leave Policy, Certificate Reimbursement and many more. 
To Apply: https://coverself.kekahire.com/jobdetails/22318

Additional Information:

At CoverSelf, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Job Requirements :

- Advanced Javascript, CSS, HTML 5, Sass, Less, JSON, DOM Concepts

- Candidate should have 2-3 years of regular working experience.

- Must have expertise in React js, Redux, node js, ExpressJS MongoDB, MySql, NoSQL Flux,

javascript html5 core concepts.

-Fluent in responsive design and mobile / tablet UI / UX, HTML5, CSS3 along with

bootstrap

-UI Performance: should have hands-on experience of optimizing page load, rendering,

caching.

- Familiarity and experience with Container architecture - Docker/Jenkins and build scripts,

help maintain code quality, organisation, and automation

- Must have done multiple projects using React js, Redux, node js, and MongoDB with

Cross browser/device compatibility.

-Working Knowledge of common Javascript Libraries such as jQuery.

-Working understanding of Webpack, Babel & other pre-processing tools.

-Good Understanding of REST Apis

-Good understanding of AJAX and its UI implications

- Good knowledge of events handling in client-side and server-side.

- Good knowledge of code versioning tools, such as Git/bitbucket

- Good logical and mathematical programming skills with good communication skills.

- At Least 2-3 live projects

- NodeJS knowledge is a plus

-Good hands-on experience with ES6 & knowledge of the upcoming syntax of ECMAScript.

-Huge plus if you have experience in working with state management libraries like Redux, MobX etc. in React.js.

Job description:  

• Create product design on Salesforce.com platform using Classic Salesforce and Salesforce Lightning.
• Good knowledge of Salesforce Lightning Framework.
• Build-in Salesforce plug-ins and connectors.
• Build/Enable complex customizations of the CRM application and Deployment in Salesforce ecosystem.
• Build the code according to the Technical Specifications, Detailed Design, Maintainability, and Coding and Efficiency standards.
• Must have Good Knowledge of Apex Triggers, Batch Classes and Schedulers.
• Must have Experience in Mentoring the People in Team.
• Integration using REST and SOAP.
• Experience in Salesforce Community cloud will be preferred.
• Experience in any Deployment Tool will be preferred.

Job Summary:

• Willingness to work on highly scalable cloud-native solutions based on microservices.
• Quickly learn the technologies and deliver using the same.
• Take complete ownership of the customer requirements.
• Motivated to deliver world-class quality.
• Inclined to bring new ways of thinking, working and providing solutions.
• Drive the concept of quality into everybody and have a zero-tolerance towards bad quality.

• Understand requirements from product management, customer and able to comprehensively break this down to manageable tasks.

Experience:

● 3-9 years of development experience.

Technical Skills:

Mandatory:

• Java - Advanced concepts concurrency, reflection, lambda, Java Springboot, Spring security,
• Actuator/Prometheus/Grafana/Servo (metrics),
• EFK/ELK stack (log analysis)
• OpenAPI/Swagger (documentation)
• RDBMS (PostgreSQL, MySQL, Maria or any other)
• NoSQL (Anyone of Mongo DB, Redis, Cassandra, Neo4J or other DBs)
• Automated unit tests/e2e tests (JUnit, TestNG, RestAssured etc)
• CI/CD pipelines (Jenkins, Sonar, Maven/Gradle etc)

Optional: (But highly recommended)

• NewSQL DB (TiDB, CockroachDB)
• AMQP/RabbitMQ
• Kafka
• Docker
• Kubernetes