Data Engineer

AI Research Scientist -Computer Vision

MeltPlan | Planning Engine for the Built Environment

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really Is

We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications.

What You’ll Do

• Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows.
• Solve downstream business use cases including quantity takeoff, code compliance, value engineering, and constructability analysis.
• Conduct applied research in Computer Vision, multimodal AI, document understanding, and spatial reasoning.
• Design, train, fine-tune, and evaluate production-grade AI models using large-scale datasets.
• Improve model accuracy, robustness, inference performance, and scalability for real-world deployment.
• Collaborate closely with engineering and product teams to convert research into deployable AI systems.
• Develop benchmarking, evaluation, and validation frameworks for model performance measurement.
• Stay updated with state-of-the-art research in Computer Vision, Vision Transformers, multimodal AI, and Generative AI.
• Contribute to research documentation, patents, publications, and internal technical knowledge sharing.
• Work on real-world construction datasets, drawings, and complex edge-case problem solving.
• Drive innovation in AI systems that improve planning, decision-making, and operational efficiency in construction workflows.

What We’re Looking For

• Strong foundation in Computer Vision, Deep Learning, and Machine Learning.
• Hands-on experience building and training custom Computer Vision models.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV.
• Experience working with image processing, object detection, segmentation, OCR, or multimodal AI systems.
• Understanding of Vision Language Models (VLMs), Vision Transformers (ViTs), or Generative AI concepts.
• Ability to train, fine-tune, and optimize AI models for production environments.
• Strong analytical, research, and problem-solving skills.
• Experience reading and implementing research papers into practical applications.
• Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or a related field.

Bonus if you’ve:

• Built multi-step agent systems
• Prior experience in applied AI research within startup or product-focused environments.
• Exposure to MLOps, model deployment, and production AI systems.
• Worked in messy real-world data environments

We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems.

Why meltplan

• Massive industry, real-world impact
• High ownership from day one
• Small team, zero bureaucracy
• Competitive comp + meaningful equity

🚀 Hiring: QA Engineer at Deqode

⭐ Experience: 3+ Years

📍 Location: Mumbai and Banaglore

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We are looking for a Backend API Automation Engineer with strong experience in API testing and automation. The candidate should be skilled in scripting and capable of handling both manual and automated testing.

Key Skills Required:

• Backend API automation testing experience
• Strong scripting skills in Python or JavaScript (Java acceptable)
• Hands-on experience with REST Assured and Postman
• Experience in manual testing along with test automation



Responsibilities:

• Design, develop, and execute automated tests for backend APIs
• Perform manual and automated API testing to ensure quality and reliability
• Collaborate with development teams to identify, report, and resolve issues

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Business Analyst - IT Solutions

Position: Business Analyst Department, Information Technology

Employment Type: Full-time

Experience Level: 1-3 years

Role Overview:

We are seeking a dynamic Business Analyst to bridge the gap between business requirements and technical solutions. This client-facing role involves analyzing business processes, gathering requirements, and ensuring successful project delivery without hands-on programming.

Key Responsibilities:

- Gather and document business requirements from clients and stakeholders

- Analyze current business processes and identify improvement opportunities

- Create detailed functional specifications and user stories

- Facilitate meetings between technical teams and business stakeholders

- Conduct user acceptance testing and training sessions

- Prepare project documentation, reports, and presentations

- Support pre-sales activities and client demonstrations

Required Qualifications:

- Bachelor's degree in Business, IT, or related field

- 1-3 years of experience in business analysis or similar role

- Basic understanding of software development lifecycle

- Good communication and presentation skills

- Client-facing experience preferred

- Basic knowledge of project management methodologies

Preferred Qualifications:

- Experience in software/technology industry

- Understanding of database concepts and system integration

- Experience with wireframing and prototyping tools

Requirements:

- Writing, editing and proofreading website content.

- Write Articles, Blogs, Social media,  Forum and other SEO best practices.

- Develop content to support SEO strategies to drive traffic to the site and improve website Ranking.

- Understanding of Web publishing requirements.

- Experience in creating content for the web and growing a social audience.

- Editorial mindset with an ability to predict audience preferences.

- Expertise in social media platforms.

- Collaborate with multiple teams to develop compelling content plans.

- Ability to deliver high-quality documentation paying attention to details.  

- Basic Knowledge of technical terminologies.

- Excellent communication skills in English both written and spoken.

As a Social Media Manager at Digeesell, you’ll get to work with our marketing team to help develop brand awareness about our company through social media. More specifically, you’ll get to:

• write long- and short-form social media messages that attract new users and engage current users
• use data to analyze what’s working, what’s not, and reinforce or refocus key messages accordingly
• wear many hats as you work with multiple teams to develop strategy, work with designers, write copy, manage social communities, and analyze data
• help convert brand fans into loyal customers with engaging, responsive, responsible, surprising, and captivating social media interactions
• design and monitor business performance goals to drive brand awareness
• observe and analyze market and competitor trends
• monitor the quality and integrity of products and services, and respond as needed to ensure brand alignment.
• Strategize media plans for different platforms.

Your qualification

• 2+ years of experience in the social media specialist role.
• Excellent communication Skills
• MBA in Marketing or similar background
• Good Presentation skills
• Excellent knowledge of variety of media/social media platforms

Job location: Udyog Vihar, Sector 18, Gurugram, Haryana

The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have an ability to test code in order to maintain high-quality code

Responsibilities

• Design, code, test and manage various applications
• Collaborate with engineering team and product team to establish best products
• Follow outlined standards of quality related to code and systems
• Develop automated tests and conduct performance tuning

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management