
We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.
Responsibilities:
- Data Analysis and Exploration:
- Collect, clean, and preprocess large datasets from various sources.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies.
- Visualize data using appropriate tools and techniques to communicate findings effectively.
- Machine Learning and Modeling:
- Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
- Evaluate model performance and optimize algorithms for accuracy and efficiency.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
- Statistical Analysis:
- Perform statistical hypothesis testing and A/B testing to validate findings.
- Apply statistical methods to analyze data and draw meaningful conclusions.
- Develop statistical models to forecast future trends and outcomes.
- Data Visualization and Reporting:
- Create compelling visualizations and dashboards to present data insights to stakeholders.
- Prepare clear and concise reports summarizing findings and recommendations.
- Effectively communicate complex data concepts to non-technical audiences.
- Collaboration and Communication:
- Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
- Present findings and recommendations to stakeholders at all levels of the organization.
- Contribute to the development of data-driven strategies and initiatives.

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Pace Robotics is a construction robotics startup incubated by SINE IIT-Bombay and backed by Pidilite Ventures and IIMA Ventures. We are making the building construction process faster, smarter and efficient through our multi-tasking robots. We have been working with top real estate developers and contractors through pilot projects and are gearing up for delivering the first lot of commercial orders in a few months.
What you will do:
- Work with product designers and mechanical engineers to create effective, viable and manufacturable machine part designs and assemblies.
- Conceptualize and design 3d models of components, parts and assemblies considering DFMA.
- Convert 3d models into manufacturable detailed drawings with appropriate GD&T following ISO GPS or other relevant standards.
- Handle part selection, mechanism design/selection, basic kinematics, dynamics and solid mechanics calculations of the designs.
- Create simulations/kinematic studies where applicable.
- Create BOMs, manufacturing process layouts, inspection drawings, assembly procedures and support in all manufacturing activities including vendor management, procurement, quality and inspection etc.
- Manage all designs from concept to manufacturing finalization using relevant PLM software.
Who you are:
- You hold a Bachelor's Degree in Mechanical Engineering and Master’s degree in Industrial Design/Mechanical Engineering with a minimum work experience of 5 years and proficiency in both SolidWorks and NX Siemens.
- Design work experience in tooling/special machines/test equipment or similar industries.
- Manufacturing work experience in automotive or related industry.
- Strong hands on experience with precision parts and sheet metal modelling.
- Extensive knowledge and practical experience with GD&T procedures, DFMA, standards and application.
- Knowledge and experience with PLM software.
- First hand experience with basic manufacturing processes such as milling, drilling, turning, bending, welding (TIG and ARC), heat treatment, stamping, 3d printing and moulding.
- Strong fundamentals in machine design including knowledge of material selection, basics of mechanics/kinematics/dynamics, Solid Mechanics, selection of components such as bearings, power transmission, motors, pneumatics, shock absorbers, joints and fasteners etc.
- Knowledge and first hand experience with metrology and measurement tools such as CMM, Profile Scanners, Height Gauge, Dial Gauge, Calipers etc.
- You prefer the uncertain, ever changing, at times-chaotic but fast growing work environment of a startup to a well-structured, predictable corporate work culture.
- You can work unsupervised and set your own pace of work to match the business needs.
Great to have:
- Exposure to FEA and CFD.
- Idea of basic mechatronics principles and components.
Experience - 2+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Key Responsibilities:
Power BI Development:
- Design, develop, and deploy interactive dashboards and reports using Power BI.
- Connect to various data sources, import data, and transform data for Business Intelligence.
- Optimize and fine-tune Power BI dashboards to ensure performance and usability.
- Implement data modeling, DAX queries, and custom visualizations to meet business requirements.
- Collaborate with business stakeholders to understand their needs and deliver data-driven solutions.
- Ensure data accuracy, consistency, and security across all reports and dashboards.
PowerApps Development:
- Design, develop, and deploy applications using PowerApps to streamline business processes.
- Integrate PowerApps with other Microsoft services (e.g., SharePoint, Dynamics 365) and third-party applications.
- Develop custom connectors and APIs to extend PowerApps capabilities.
- Maintain and troubleshoot existing PowerApps solutions to ensure they meet user needs and performance standards.
- Provide training and support to end-users on how to use PowerApps effectively.
Qualifications:
Education:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
Experience:
- Minimum of 3 years of experience in Power BI development.
- Minimum of 1 year of experience in PowerApps development.
- Proven track record of delivering business intelligence solutions and applications that meet business requirements.
Responsibilities
· Design and build advanced applications for the iOS platform.
· Collaborate with cross-functional teams to define, design, and ship new features.
· Work on bug fixing and improving application performance.
· Identify and correct bottlenecks and fix bugs
· Help maintain code quality, organization, and automatization
· Support the whole application lifetime from idea through design, testing, release, and maintenance
· Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Skills
· Proficient with Swift and Cocoa Touch
· Experience with iOS frameworks such as Core Data, Core Animation, etc.
· Experience with offline storage, threading, and performance tuning
· Familiarity with RESTful APIs to connect iOS applications to back-end services
· Understanding of Apple’s design principles and interface guidelines
· Experience with performance and memory tuning with tools
· Familiarity with cloud message APIs and push notifications
· Knack for benchmarking and optimization
· Proficient understanding of code versioning tools source tree, git
· Familiarity with continuous integration
· Solid grasp of algorithms, memory management, object oriented programming, and MVC Design
Competencies
· Excellent communication skills
· Ability to co-ordinate with cross functional teams
· Should be a good Team player.
RESPONSIBILITIES:-
As a Business Development Manager working under FMCG segments, an ideal candidate must perform the following responsibilities:
· Approaching potential leads a close them within a stipulated time frame.
· Create exclusive distributors, exclusive super stockist and business associated for the company towards business growth.
· Finding and developing new markets and improving sales.
REQUIREMENTS:
· Bachelor’s degree in business, marketing or related field.
· Experience in sales, marketing or related field.
· Strong communication skills.
· Excellent organisational skills.
Responsibilities:
- Writing reusable, testable, and efficient code in Python.
- Designing and implementing software features and capabilities.
- Identifying and addressing performance bottlenecks and bugs in existing code.
- Collaborating with other developers, stakeholders, and users to define, design, and ship new features.
- Building and maintaining software documentation.
- Ensuring code is maintainable and maintain appropriate versioning practices.
- Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency.
Requirements:
- Bachelor's degree in Computer Science or related field.
- Minimum of 3 years of experience in Python development.
- Strong knowledge of Python programming language and related frameworks (such as Django, Flask etc.)
- libraries is important.
- Knowledge of software development methodologies, version control systems and experience with system administration.
- Database management and good understanding of software design principles is desired.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork skills.
Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
-
Consulting with managers to determine and refine machine learning objectives.
-
Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
-
Transforming data science prototypes and applying appropriate ML algorithms and
tools.
-
Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
-
Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
-
Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
-
Ensuring that algorithms generate robust and accurate results.
-
Running tests, performing analysis, and interpreting test results.
-
Documenting machine learning processes.
-
Keeping abreast of developments in machine learning.
Requirements
-
Proven experience as a Machine Learning Engineer or similar role.
-
Should have indepth knowledge of AWS Sagemaker and related services (like S3).
-
Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
-
Ability to write robust code in Python & Javascript (TensorFlow JS).
-
Experience with Git and Github.
-
Superb analytical and problem-solving abilities.
-
Excellent troubleshooting skills.
-
Good project management skills.
-
Great communication and collaboration skills.
-
Excellent time management and organizational abilities.
-
Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
The Fullstack Lead should excel in a collaborative, results-driven culture and be able to influence engineers, stakeholders, and leadership on mobile strategies & technologies.
Major Responsibilities:
- Incumbent will be architecting our mypay Portal products and choosing the best technologies, components and subsystems on different server side tech.
- Driving innovations in the product constantly to remain ahead of the curve.
- Serve as a thought leader and mentor on technical, architectural, design and related issues.
- Proactively identify architectural weaknesses and recommend appropriate solutions.
- Collaborate with cross functional teams to solve complex problems and build products spanning across multiple teams to deliver end-to-end products & features.
- Estimates efforts, identifies risks, devises and meets project schedules.
- Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team.
Qualifications.
- 5+ Years relevant software development experience, with a Full Stack profile (experience in front-end, back-end, integration, cloud automation and orchestration)
- proficient in Functional & Object Oriented Programming, Design Patterns with expertise in various cloud-native technologies (MySQL, HTML5, CSS3, React.js, Graph QL, etc).
- Knowledge of Nodejs, Javascripts and other programming languages and frameworks is must.
- Experience using Cloud Native CI/CD tools (aws Pipelines/ aws codebuild).
- Experience in test driven development & writing of unit and integration tests is a must
- Demonstrated ability of design and development of applications/ products utilizing a variety of architecture principles, including a microservices serverless
- Experience working in agile teams with demonstrated application of the principles.
- Demonstrable proficiency in developing complex JavaScript applications.
- Must be a self-starter who can work well with minimal guidance and in a fluid environment.











