1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Responsibilities:
1. Test Automation and Development:
Design, develop, and execute automation scripts using open-source or commercial tools.
Enhance existing automation frameworks to improve test efficiency and scope.
Identify areas for automation, and develop tools and scripts to increase testing productivity.
2. Test Planning and Execution:
Collaborate with development teams to understand product requirements and develop appropriate ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
6.00 LPA TO 8.00 LPA
Key Responsibilities:
∙Develop and maintain high-quality mobile applications for the Android platforms.
∙Collaborate with cross-functional teams to define, design, and ship new features.
∙Ensure the performance, quality, and responsiveness of applications.
∙Identify and fix bugs and performance bottlenecks.
∙Write clean, scalable, and maintainable code while adhering to best practices.
∙Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
∙Work with REST APIs and third-party libraries, Hardware communication and APIs.
Skills & Qualifications:
∙Strong proficiency in Java programming language.
∙BLE communication, Hardware communication using RS232, RS485 knowledge required.
∙Experience with Android development, including familiarity with native development.
∙Familiarity with RESTful APIs, third-party libraries, and APIs.
∙Ability to write efficient, well-documented, and clean code.
∙Excellent problem-solving skills and ability to work under pressure.
∙Strong communication skills and ability to work in a team environment.
Education & Experience:
∙Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience).
∙At least 4+ years of experience in mobile development using Android.
Soft Skills:
∙Excellent problem-solving and analytical skills.
∙Strong communication and collaboration skills to work effectively with cross-functional teams.
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 10.00 LPA
Position: Asst. Manager - Instrument
Location: Mehsana
Experience: 8 - 10 Years
Industries: Pharma - API
Responsibilities:
1. Instrumentation & Automation Management:Lead installation, commissioning, and maintenance of all plant instrumentation systems.Ensure smooth operation and calibration of control valves, transmitters, flow meters, level gauges, sensors, ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
6.00 LPA TO 15.00 LPA
Role : Technical Consultant - Implementation of EPICOR ERPRequired Qualification: B.E./ B. Tech – CSExperience: 2-4 Years1. Proven Experience as an Epicor Technical Consultant2. Expertise in Epicor ERP10/ Kinetic software.3. Develop customizations using the Epicor Tool framework.4. Develop reports using SSRS, Epicor certification (preferred but not essential)5. Proficiency in programming ...
2 Opening(s)
3.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 22.00 LPA
Job Description
Job Title: Analyst, Algorithm Research & Development (Optical modelling).
Job location- Chennai
Experience: Minimum 3 years
Employment Type: Full time
Key Responsibilities:
Develop algo focusing on optical modeling and computational geometry-based image processing algos and models.
Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Role Overview
As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and
maintaining the infrastructure and workflows that support our machine learning systems. You’ll
work closely with data scientists, ML engineers, and DevOps teams to implement scalable
MLOps solutions, mentor team members, and ensure smooth deployment and ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
4.80 LPA TO 6.00 LPA
A Sr. Engineer/Engineer's job involves technical leadership, complex problem-solving, project management, and mentoring junior staff, with responsibilities including designing, developing, and overseeing projects from concept to completion while ensuring compliance with standards and strategic goals. The "Sr." designation indicates a higher level of experience, greater responsibility in leading projects and teams, ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"Project Management Skills: Proficiency in Agile, Scrum, Kanban, and/or Waterfall methodologies. Strong ability to manage multiple projects simultaneously. Resolving conflicts within cross-functional teams effectively Ability to prioritize tasks based on business impact and technical feasibility Translating technical concepts into business terms for stakeholders. Ensuring clear documentation for all phases of ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA
5 Opening(s)
8.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Position: Senior full-stack .NET developer
Location Coppell, TX – 3 days hybrid
Visa US/GC
Job Description
Conceptualize, design, program, test, implement and deploy software applications using the appropriate documentation, processes, and quality standards.
Provide business and project expertise when collaborating with clients, IT resources, vendors, consultants and other stakeholders to identify the user requirements, assess ...