UX Designer

Location: Pune( Viman Nagar )

Experience: 4+years

Work of mode: Hybrid (2pm to 10 pm , 4 days work from office)

Please find the below job description:

Minimum 4+ years of experience building global enterprise level systems

Extensive experience developing complex distributed event-based microservices using C#/.Net Core

Knowledge with containerisation (Docker, Kubernetes)

Experience with cloud platforms (Azure, AWS)

Exposure with distributed messaging / streaming platforms (Apache Kafka)

Involvement building CI/CD pipelines (ideally Azure DevOps)

Excellent knowledge of Relational Databases SQL and No-SQL databases.

Strong UI / Product / Visual Designer Profile (Not UX-focused)

Mandatory (Experience 1) – Must have 2+ Years of hands-on experience in UI / Product / Visual Design, with strong exposure to web and mobile app design (from concepting, wireframes, prototypes to final UI).

Mandatory (Portfolio) – Must have a strong visual/UI design portfolio showcasing product, web, and app UI work with clear emphasis on visual hierarchy, interaction detail, color, and layout.

Mandatory (Tools) – Proficiency in Figma, Adobe XD, FigJam, Photoshop, Illustrator (knowledge of Sketch, Axure, Zeplin is a plus).

Strong Customer Success Manager / Implementation Manager / Post-Sales Delivery (B2B SaaS – US Customers) Profiles

Mandatory (Experience 1): Must have 3+ years of experience in Customer Success roles within B2B SaaS companies, primarily working with US-based customers.

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success

Mandatory (Experience 3): Must have strong project management and customer communication skills, owning onboarding timelines, running regular customer check-ins, managing CXO-level stakeholders, and proactively flagging risks or blockers.

Mandatory (Experience 4): Must have worked in post-sales, non-quota-carrying roles focused on customer success, retention, and long-term relationship management (upsell is not mandatory)

Mandatory (Experience 5): Must have a conceptual understanding of SaaS products and APIs, with the ability to understand workflows, follow integration issues, and coordinate effectively with technical teams (hands-on coding not required).

Mandatory (Note): Must be willing to work in US time zones (approx. 4:30 AM IST onwards, Mon–Fri).

Mandatory (Company): B2B SaaS (Technical complex)

We are seeking a highly motivated and technically proficient Sales & Application Engineer to drive sales and provide technical support for both high-precision CNC metrology systems and advanced machining tooling. This role requires extensive travel to customer sites and strong collaboration with internal teams.

• Visit machining industries to promote and demonstrate a comprehensive range of products, including carbide inserts, holders, drills, taps, endmills, and high-precision machine probes, tool setters, and calibration systems.
• Understand customer machining operations and suggest suitable tooling and metrology solutions to improve efficiency and quality.
• Conduct product demonstrations and cutting trials, validating performance for customers.
• Engage new customers, prepare and submit detailed quotations, negotiate terms, and close sales deals.
• Follow up on quotations, orders, and payments to ensure a smooth sales cycle.
• Collaborate with the Application and Service teams for trials and ongoing technical support.

Key Requirements:

• Diploma/Degree in Mechanical or Production Engineering.
• In-depth knowledge of CNC machining, tooling, and process parameters.
• Familiarity with metrology brands like Renishaw, Blum, and Marposs is highly desirable.
• Must be willing to travel extensively across the assigned territory.

• Good knowledge in PHP , Linux and DB.
• Good knowledge in Laravel, Codeigniter Framework or any Framework.
  
• Good knowledge in Javascript.
• Candidate must have a good experience in Practical PHP, OOPS & SQL concepts.

Job description

Job code: Application Engineer

Ducom Instruments now have an opening for the position for Application Engineer. Looking for dynamic and hands-on experience in LABVIEW to set out to improve the overall functioning of the client’s software. Creating new architecture, working with existing software and engineering hardware components that optimize certain technology. Comfortable in coding languages, and particularly those that apply enterprise solutions.

Application Engineer responsibilities span from software architecture design, programming, testing, debugging, and software maintenance. Documentation of the product including flowcharts, algorithms, codes, and other relevant information, software upgrades, user support, and training activities also comprise of important responsibilities in this position.

Minimum requirements:

• Knowledge on LabView
• CLAD certified
• Knowledge of communication protocols, e.g. USB, RS232, IEEE, RS485, TCP/IP, Modbus
• Knowledge of general software design/documentation processes in test and measurement systems
• Problem-solving skills
• Experience with Controls / Automation Engineering / Robotics interface programming
• Knowledge and exposure of digital electronics and instrumentation

Preferred qualifications:

• LABVIEW, C and C++ Programming and Arduino skills preferred
• Minimum of 2-3 years’ experience/fresher’s in instrumentation software development in industry / R&D
• Bachelors or a Master’s degree in Computers Science, mechatronics, robotics, electrical and electronics.
• Ability to thrive in across functional and cross-cultural work environment
• Excellent organizational and multi-tasking skills
• Ability to travel, occasional travel will be required
• Salary as per company standards

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology