Head - Visual Communication (Consumer Electronics),

Job Title : Data / Generative AI Engineer

Experience : 5+ Years (Mid-Level) | 10+ Years (Senior)

Location : Remote

Employment Type : Contract

Open Positions : 5

Job Overview :

We are hiring Data / Generative AI Engineers for remote contract engagements supporting client-facing AI implementations. The role involves building production-grade Generative AI solutions on AWS, including conversational AI systems, RAG-based architectures, intelligent automation platforms, and scalable data engineering pipelines.

Mandatory Skills :

Amazon Bedrock, Generative AI, RAG Architecture, LangChain/LlamaIndex/Bedrock Agents, Python (3.9+), AWS Serverless (Lambda, API Gateway, Step Functions), Vector Databases, Data Engineering & ETL, AWS Glue, Amazon Athena.

Key Responsibilities :

• Design and build production-ready Generative AI applications on AWS.
• Implement Retrieval-Augmented Generation (RAG) architectures for enterprise AI solutions.
• Integrate Amazon Bedrock with foundation models and enterprise systems.
• Develop AI agent orchestration workflows using frameworks such as LangChain, LlamaIndex, or Bedrock Agents.
• Build and manage serverless architectures using AWS services like Lambda, API Gateway, and Step Functions.
• Implement vector databases and semantic search solutions for intelligent knowledge retrieval.
• Design and maintain data engineering pipelines and ETL workflows for large-scale data processing.
• Use AWS Glue for data transformation and orchestration.
• Utilize Amazon Athena for querying large datasets and performing analytics.
• Develop scalable Python-based APIs and backend services.
• Collaborate with cross-functional teams and clients to deliver AI-powered solutions in production environments.

Required Skills :

• Strong experience with Amazon Bedrock and foundation model integrations
• Hands-on experience with LangChain, LlamaIndex, or Bedrock Agents
• Advanced Python (3.9+) development and API building
• Experience with AWS serverless architectures (Lambda, API Gateway, Step Functions)
• Experience implementing vector databases and semantic search systems
• Strong knowledge of data engineering and ETL pipeline development
• Hands-on experience with AWS Glue for data transformation and orchestration
• Experience using Amazon Athena for querying and analytics
• Experience building RAG-based AI applications

Engagement Details :

• Contract Duration : Minimum 3 to 6 Months
• Work Timing : 8:00 AM – 4:00 PM EST
• Start Timeline : Within 2 Weeks
• Open Positions : 5

You're good. You know you're good. Your Dribbble has clean case studies, your Figma files are organized, your design system is tight.

And you're bored out of your mind.

Not because the work is easy. Because it doesn't matter. You redesign the settings page. Three stakeholders give conflicting feedback. You compromise on all of it. Ship something you'd never put in your portfolio. Wait for the next sprint.

You didn't get into design for this. You got into it because design isn't decoration. It's the product itself.

If that's still what you believe, keep reading.

The Problems We Haven't Solved Yet: We haven't figured everything out. That's the point. Here are real design challenges on our table right now, unsolved, waiting for someone good enough to crack them:

1. How do you design an AI learning experience that feels human? Our AI tutors adapt in real-time to how each learner thinks. But "adaptive" can easily feel robotic. How do you design an interaction where a machine is teaching but the learner feels understood? No one has solved this well at scale.
2. How do you make learning feel like a game without making it feel like a trick? Gamification in edtech is mostly badges and streaks. The real question: how do you design dopamine loops that make someone want to learn at 11 PM the way they want to scroll Instagram at 11 PM? Without dark patterns.
3. How do you build for a world of generative UI? When AI generates personalized content for every user, the UI can't be static. How do you design a system that's both coherent and infinitely variable? Figma components don't cover it. You'd be inventing the framework.
4. How do you create simulations where people learn by doing? Not watching videos. Not reading docs. Actually doing the work where mistakes are free and feedback is instant. How do you design the UX of "practice" at scale?
5. How do you design across modalities? WhatsApp bots, mobile apps, web platforms, AI-generated video. How do you create a design language that holds together across contexts this different, while feeling native to each?

If you read those five problems and felt your brain start firing, this role is for you.

The Honest Part: Our product today is not beautifully designed. Some of it is. A lot of it isn't.

That's exactly why we need you. Not in six months. Now.

We have 3 million+ learners across 64 countries. AI that genuinely works, personalization that's real (not a buzzword), and a product rated 4.8/5. What we don't have is a founding designer with the taste to make the experience match the ambition.

The gap between what our product does and how it feels is your canvas. It's enormous. And it's yours.

How You'd Actually Work Here:

Most JDs sell you a vision. Here's the reality.

• You'd talk to actual users. Not personas. Not filtered summaries. You'd call a learner in Pune who dropped off mid-course and find out why. Here, user research isn't a quarterly ritual. It's how you start every design decision.
• You'd see your impact. Fast. Ship something, it's in front of 3M+ users. You'll know within days whether it worked. Real data, real fast.
• Your bottleneck is you, not your team. Our devs read Figma files. The gap between what you design and what ships is small. The constraint is the quality of your thinking, not the capacity of the people around you.
• You'd have a voice in what gets built. You'd work directly with me and Gargi (co-founder) on what we build and why. Your perspective on the user experience shapes direction. Because a learning product where design doesn't drive direction doesn't work.
• Design is load-bearing here. A learning experience that feels clunky doesn't just look bad. It literally doesn't teach. Experience quality is the product.

The Specifics:

Role: Sr. Founding Product Designer (AI-First). Senior IC with high ownership & high influence. "Founding" means you'd shape the design culture, system, and standards for everything that follows. 

Experience: 4+ years in B2C product design. Edtech, gaming, or consumer apps where retention actually matters. A portfolio that shows design moving metrics, not just looking good.

You're the person if: • You can articulate a user problem before you draw a single frame • You're comfortable reading dashboards & making decisions from data, not just intuition • You write tight, clear design rationale that developers understand and trust • You thrive with ambiguity and ownership. Slow approvals frustrate you

Comp: Rs 18L-30L CTC + 0.01%-1.0% equity. The equity range is wide because we'll calibrate to what you bring. At our stage, this is real upside.

Location: Mumbai. In-office with WFH flexibility. Full-time.

The team: Google's Top 20 Startups to Watch. Google AI First Accelerator '24. Backed by funds of Naval Ravikant, Reid Hoffman, and founders/CXOs from Udemy, Flipkart, Jupiter, PayU, Edmodo & Inflection AI. Featured on CNBC-TV18. 11-50 people building something that changes how people learn, permanently.

Experience - 1 to 2 years

Budget - As per Industry norms

Work Type - Onsite / Full time

Candidate must have experience in Digital marketing & Advertising agency

Job description:

The ideal candidate will have strong creative skills and a portfolio of work which demonstrates their passion for design.

Responsibilities:

• Collaborate with the team to ensure consistency of designs across various media outlets
• Create strategic and effective branding and marketing collateral both print and digital
• Maintain awareness of current industry and technology standards, social media, competitive landscape and market trends

The candidate would be responsible for ascertaining the working of various asset classes basis

market research (both primary and secondary)– with focus being on retail centric development.

Key asset classes that would be covered are- retail, offices, hospitality, warehousing and

residences.

1. Market research report – primary survey, secondary survey, data collation by self/agency

2. Viability study – Rent /income benchmarking

KEY ACCOUNTABILITIES/ KEY RESPONSIBILITIES

1. Market Research – Retail centric development predominantly. Would also include hospitality,

commercial developments, warehousing, residences, helping certain retail brands to enter macro

and micro.

Market Research- non operational assets : To undertake

-

City Analysis

-

Site / Project Analysis

-

Catchment Analysis (Demographics)

-

Retailer Trading Density Analysis

-

Competition Benchmarking

-

Best Use Analysis on the site / project

-

Feasibility Assumptions & Monitoring

-

Proposals, IM, Reports & Presentations

Market Research- Operational assets:

-

Catchment Analysis

-

HN1 – Data

-

Catchment Profiling –Demographics/ Psychographics (The candidate would be expected to be

hands on in the beginning – and later create a template for the local teamplate to follow for

periodic data update)

-

No of House hold

-

Income

-

Age

-

Occupation /Education

-

Understand the attitude/ loyalty -Tools/ Resource

-

Brand affinity

-

Shopping Habits

-

Cultural Influences

-

Understanding competitions and profiling the activations conducted by them

-

Problems/ Opportunities

a) Relative to Market

b) Relative to consumption

c) Relative to Centre/competition

d) Relative to retailers/ customers relationship

Development:

-

Business Development with Investors, Developers, Retailers & Landowners

-

Site / Project Analysis

-

Proposals & Presentations

-

Research Analysis

-

Design Development Process Management

-

Tenant Mix Process Management

General Business Development:

-

International Relationship Initiations (new partners, vendors, suppliers)3

-

Draw up project proposals

-

Engage with prospective clients for appointment closure

Managerial

1. Analytical abilities

2. Logical / practical / time conscious – able to plan and work to deadlines.

3. Good presentation skills

4. Ability to adhere to timetables and meet deadlines

5. Initiative, drive and judgement

6. Drive decision making

Behavioural

1. Good communication skills

2. Strong team player

3. Ability to work as a team as well as independently

4. Ability to handle confidential information

5. Integrity

6. POSITIONREQUIREMENTS

Level of Education

B.Arch

M. Arch- Urban Planning or any other relevant/equivalent field

Experience

5+ years of experience in research and business development

7. COMPETENCIES

Functional

MS Office- proficient in MS Power point and Excel

Location: Hybrid/ Remote

Type: Contract / Full‑Time

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Responsibilities:

• Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation.
• Design and build Python‑based services (FastAPI) for generating and updating embeddings.
• Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning.
• Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store.
• Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat.
• Manage vector index lifecycle and similarity metrics (cosine/dot‑product).
• Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates.
• Collaborate with frontend engineers to define API contracts and demo endpoints.
• Document architecture diagrams, API specifications, and runbooks for future team onboarding.

Required Skills

• Strong Python expertise (FastAPI, async programming).
• Proficiency with Node.js and Express for API development.
• Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search.
• Familiarity with OpenAI’s APIs (embeddings, chat completions).
• Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face).
• Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker).

Containerization skills (Docker):

• Good understanding of RAG architectures, prompt design, and memory management.
• Strong Git workflow and collaborative development practices (GitHub, CI/CD).

Nice‑to‑Have:

• Experience with Llama family models or other open‑source LLMs.
• Familiarity with MongoDB Atlas free tier and cluster management.
• Background in data engineering for streaming or batch processing.
• Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch).
• Frontend skills in React to prototype demo UIs.

We're seeking a Software Development Engineer in Test (SDET) to ensure product feature quality through meticulous test design, automation, and result analysis. Collaborate closely with developers to optimize test coverage, resolve bugs, and streamline project delivery.

Responsibilities:

Ensure the quality of product feature development.

Test Design: Understand the necessary functionalities and implementation strategies for straightforward feature development. Inspect code changes, identify key test scenarios and impact areas, and create a thorough test plan.

Test Automation: Work with developers to build reusable test scripts. Review unit/functional test scripts, and aim to maximize test coverage to minimize manual testing, using Python.

Test Execution and Analysis: Monitor test results and identify areas lacking in test coverage. Address these areas by creating additional test scripts and deliver transparent test metrics to the team.

Support & Bug Fixes: Handle issues reported by customers and aid in bug resolution.

Collaboration: Participate in project planning and execution with the team for efficient project delivery.

Requirements:

A Bachelor's degree in computer science, IT, engineering, or a related field, with a genuine interest in software quality assurance, issue detection, and analysis.

2-5 years of solid experience in software testing, with a focus on automation. Proficiency in using a defect tracking system, Code repositories & IDEs.

A good grasp of programming languages like Python/Java/Javascript. Must be able to understand and write code.

Familiarity with testing frameworks (e.g., Selenium, Appium, JUnit).

Good team player with a proactive approach to continuous learning.

Sound understanding of the Agile software development methodology.

Experience in a SaaS-based product company or a fast-paced startup environment is a plus.

Job Description:

You will be responsible for end to end process of recruitment with our clients.  Some of the key activities that you will be doing are

• Understanding client requirements and accordingly execute a search plan for identifying potential candidates to fit the client requirement

• Source candidates using multiple sourcing channels including internal databases, job boards , head-hunting and networking  

• Engage candidates for strategically positioning job opportunities and client organizations    

• Counsel candidates to assist them in taking the right decision

• Understanding candidates’ profile to evaluate role fitment ( Screening & Shortlisting )

• Build and strengthen candidate relationships to be able to network and headhunt passive job seekers  

• Manage scheduling and coordination related activities in the entire recruitment process

• Build and strengthen client relationships to be able to streamline and improve service delivery

• Take ownership for the end-to-end recruitment lifecycle

• Conduct market mapping exercises regularly to assess the talent availability

Experience:

• Should have 1-5 years of experience in recruitment in consulting firms.

Skills Required:

• Excellent knowledge of the Recruitment industry

• Excellent ability to connect and interface with professionals

• Ability to interface with clients and manage transactions  

• Good presentation, communication & interpersonal skills.

• Highly energetic  and motivated individual
  
  
  Other Details:

  Shift: 9:30 AM to 6:30 PM

  Education : UG or MBA or any equivalent qualification

  Salary: As per experience and fitment.

Experience: 2-6 Years

Datametica is looking for talented Java engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Job Responsibilities:

• 2-6 years, having hands-on experience in coding, usually in a pair programming environment providing solutions to real problems in the Big Data world
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments also understanding the business domain deeply
• Engineers highly scalable, highly available, reliable, secure, and fault-tolerant systems with minimal guidance
• Create platforms, reusable libraries, and utilities wherever applicable
• Continuously refactor applications to ensure high-quality design
• Choose the right technology stack for the product systems/subsystems
• Write high-quality code that are modular, functional, and testable; Establish the best coding practices
• Formally mentor junior engineers on design, coding, and troubleshooting
• Plan projects using agile methodologies and ensure timely delivery
• Communicate, collaborate and work effectively in a global environment

Required Skills:

• Proficient in Core Java technology stack
• Design and implement low latency RESTful services; Define API contracts between services; Expertise in API design and development, experience in dealing with a large dataset
• Should have worked on Spring boot
• Practicing the coding standards (clean code, design patterns, etc)
• Good understanding of branching, build, deployment, continuous integration methodologies
• Ability to make decisions independently
• Strong experience in collections.

Job Description

Hands on Experience in Angular4 with Node.js

You will get hands on experience in latest technologies and skills like AngularJS, ReactJS, NodeJS, MongoDB, REST API etc.

Good understanding of how web applications work.

Expert knowledge in HTML, CSS, JavaScript, jQuery, Bootstrap

We need a passionate candidate who is looking for the next level of career growth in a fast-paced, learning based and merit-driven work environment.

Company Introduction –

• Information Security & Data Analytics Series A funded company.
• Working in cutting edge technologies - Using AI for predictive intelligence and Facial Biometrics.
• Among Top 5 Cyber excellence companies globally (Holger Schulze awards)
• Bronze award for best startup of the year (Indian Express IT awards), only cyber Security Company in top 3.
• More than 100+ clients in India.

Job Description:-

Job Title: Python Developer

Key Requirements:-

• Mine data from structured and unstructured data sources.
• Extract data (text, images, and videos) from multiple documents in different formats.
• Extract information and intelligence from data.
• Extract data based on regular expressions.
• Collect data from structured RDBMS databases.
• Work closely with Project/Business/Research teams to provide mined data/intelligence for analysis.
• Should have strong exposure to core python skills like multiprocessing, multithreading, file handling, data structure like JSON, Data frames, and User Defined Data structure.
• Should have excellent knowledge of classes, file handling, memory manipulations.
• Strong Knowledge in Python.
• Strong exposure to frond end languages like CSS, JavaScript, Ajax etc.
• Should have exposure to requests, Frontera, scarpy-cluster, elastic-search, distributed computing tools like Kafka, Hbase, Redis, Zookeeper, restAPI.
• Should be familiar with *nix development environment.
• Knowledge of Django will be added advantage.
• Excellent knowledge on Web Crawling/Web scraping.
• Should have used scraping modules like Selenium, Scrapy, and Beautiful soup.
• Experience with text processing.
• Basics of databases. Good troubleshooting and debugging skills.

 
Education

   B.Tech, MCA, Computer Engineering