UI UX+Fullstack developer

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

Job Description:

• working on all layers of architecture Understanding the flow of code and how it interacts with different components.
• Building REST API.
• Creating technical design documents by understanding requirements, and product objectives.
• Writing effective Unit tests
• Good analytical skills and innovative mind.
• Source code management.
• Excellent communication skills.

Desired Skills

• Experience on Mern Stack (MongoDB, Express.js, React, Node.js)
• Strong understanding of JavaScript, object-oriented JS, its quirks, and workarounds•
• Strong hands-on experience in JavaScript• Strong proficiency with JavaScript or CoffeeScript depending on your technology stack.
• Good understanding of server-side CSS preprocessors such as Stylus, Less•
• Basic understanding of web markup, including HTML5 and CSS3• Good understanding of asynchronous request handling, partial page updates, jQuery, and AJAX•
• Proficient understanding of cross-browser compatibility issues and ways to work around such issues• Familiarity with JavaScript module loaders, such as Require.js and AMD•
• Proficient understanding of code versioning tools, such as SVN• Good understanding of browser rendering behavior and performance
• Key Programming Skills: MERN stack, full stack, React, Java, HTML/CSS, JavaScript, Bootstrap.
• Experience working with Rest based APIs

 Act as a liaison between the company and clients, maintaining and strengthening relationships

Respond to client inquiries and concerns, providing accurate and timely information

Assist in the planning and execution of client events and meetings

Collaborate with other teams to ensure successful project completion

Provide administrative support to the Client Relations team, including data entry, scheduling appointments, and managing documents

Conduct research to identify new potential clients and opportunities for business growth

Assist in the development of marketing materials and presentations for clients

Attend meetings and take notes as necessary

Duration: 4 months, Stipend: Rs 3000 per month, Full-time assured ob offer on successful completion of internship.

Role and Responsibilities

•  Working with front-end developers and providing server-side algorithms of user-facing web application elements.
• Coding and creating functional web applications, optimizing code for increasing response time and efficiency.
• Analyzing the goals and requirements, efficiently handling bugs and errors, and finding effective solutions for the same.
•  Interacting with the database for storing data and ensuring that every user has access to what they search.
•  Accomplishing the projects and goals within deadline.
• Managing APIs that are executed across the devices.
•  Involving in defining the architecture of the system.

Required skills

• In-depth knowledge of PHP and related frameworks like Laravel, Codeigniter, Yii. Competent in Ruby, Python, nodeJs, and Java will be an added advantage.
• Good Communication, Analytical, Logical, and Leadership skills.
• Knowledge of front-end technologies, such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• Capable of managing a hosting environment along with database administration such as MySQL, Oracle.
• Excellent knowledge of APIs (REST, SOAP) and Web services.
• Ability to scale applications to handle the load changes.
• Knowledge of accessibility and security compliance.
• Good to have experience in version control, such as GIT.

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.

• 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.

• 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.

• 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.

Role  : Angular Developer

Location: Bangalore, Karnataka, India

Experience: 3 to 9 Years

Mandatory Skills: Angular,Data structure,Javascript with OOPS, API

Experience:

• Very strong hands on experience of web and mobile technologies: - HTML JavaScript,  HTML5/CSS3,
• 5 + years of UI Development Experience using JavaScript Frameworks
• 3+ years of Angular Development Experience
• Has implemented coding patterns and built UI framework
• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
• Creating custom, general use modules and components which extend the elements and modules of core AngularJS
• Creating configuration, build, and test scripts for Continuous Integration environments
• Cooperating with the back-end developer in the process of building the RESTful API
• Cross browsers support/experience and knowledge of DOM manipulation on different browsers
• Performance enhancements on web page load and execution
• Use responsive web design to create applications that automatically conform to multiple screen sizes/devices.

Responsibility:

• Ability to develop UI framework on JavaScript and CSS which confines to requirement of Solutions.
• Ability to work on cross browser compatibility
• Develop reusable components.
• Work closely with other developers in the team
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Conduct usability testing to identify and fix UI issues
• Collaborate with business analysts to discuss user interface requirements and brainstorm UI ideas.

About the company:

It is a leading US-Based product development company established in 2004.

A global leader in providing digital solutions for trading and risk, supply chain management and financial services driven by cloud, blockchain, machine learning and analytics. The company has its  best-of-breed solutions serve the entire trading value chain across agriculture, energy, metals and mining, and manufacturing markets. The cloud platform provides advanced analytics, one source of data and an automation engine, providing maximum flexibility and investment protection as business needs and market requirements change.

Why should you apply?

• Work in a fast-paced product-based organization.
• Get an opportunity to work with the core development team and enhance your technical skills.
• Scope to understand and work with the product team in depth.
• Opportunity to work in ETRM/CTRM domain- ahead of the innovation.
• They built a culture of inclusion and diversity from the 16 plus languages they speak to the 40% strong women workforce.
• They are always looking for their next set of passionate and innovative minds, who are unafraid to challenge the status quo.

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality