Data Scientist

at Material Depot

DP
Posted by Sarthak Agrawal
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Hyderabad, Bengaluru (Bangalore)
icon
2 - 6 yrs
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₹12L - ₹20L / yr (ESOP available)
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Full time
Skills
Data Science
Machine Learning (ML)
Deep Learning
R Programming
Python
Computer Vision

Job Description

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

In this role, you will:

  • Extensive knowledge in machine learning and deep learning techniques
  • Solid background in image processing/computer vision
  • Experience in building datasets for computer vision tasks
  • Experience working with and creating data structures / architectures
  • Proficiency in at least one major machine learning framework
  • Experience visualizing data to stakeholders
  • Ability to analyze and debug complex algorithms
  • Good understanding and applied experience in classic 2D image processing and segmentation
  • Robust semantic object detection under different lighting conditions
  • Segmentation of non-rigid contours in challenging/low contrast scenarios
  • Sub-pixel accurate refinement of contours and features
  • Experience in image quality assessment
  • Experience with in depth failure analysis of algorithms
  • Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
  • Mentor and support other technical team members in the organization
  • Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
  • Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

How you will do this:

  • You’re part of an agile, multidisciplinary team.
  • You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
  • You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
  • You experiment, test, try, fail, and learn continuously.
  • You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

For this role, you must have:

  • Strong knowledge of and experience with the functional programming paradigm.
  • Experience conducting code reviews, providing feedback to other engineers.
  • Great communication skills and a proven ability to work as part of a tight-knit team.

About Material Depot

Founded
2020
Type
Product
Size
0-20 employees
Stage
Raised funding
View full company details
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visualizations for the products
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1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
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embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
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boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
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move to invest heavily in understanding this data and formed a whole new Data team
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market revenue. The Data team aimed to create a company culture where data was the
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Founded 2016  •  Product  •  20-100 employees  •  Raised funding
Data Science
Artificial Intelligence (AI)
Machine Learning (ML)
Python
TensorFlow
Keras
PyTorch
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GenSim
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Bengaluru (Bangalore)
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1 - 3 yrs
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₹10L - ₹20L / yr
Ziroh Labs is a Data Security and Privacy Technology startup based in the Bay Area (California), Bangalore, Singapore and Canberra. We focus on cutting edge encryption techniques which include Fully Homomorphic Encryption. The scientific and technical research team at ZirohLabs includes award-winning computer scientists, cryptographers, PhDs and developers in distributed computing, large-scale distributed storage systems, and algorithms.

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  • Experience with Python, Tensorflow, Keras and Pytorch
  • Experience in OpenCV, NLTK, GenSim, spaCy, etc.
  • Mathematical understanding of AI/ML algorithms
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Job posted by
Shawn Crasta

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  • Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI
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  • Able to train and deploy models
  • Broad knowledge of machine learning algorithms and principles
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  • Communicate and propose solutions to business challenges
  • Familiarity with at least one of the cloud computing infrastructure - GCP/AWS
  • Keep abreast with the latest technological advances
  • Team mentoring and leadership skills.
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Santhosh Kumar KR

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Natural Language Toolkit (NLTK)
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹5L - ₹10L / yr
We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.
Job posted by
Layak Singh
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