Posted by At Cyient, we are leading the charge towards a sustainable and connected future. We are reshaping traditional automobiles into smart, software-defined vehicles that offer enhanced safety, efficiency, and user experiences
Cyient is a Global multinational technology company that is focused on engineering, manufacturing, data analytics, networks and operations. Infotech Enterprises Ltd. was established in 1991 in Hyderabad.
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Cyient is a consulting-led, industry-centric, global Technology Solutions company. We enable our customers to apply technology imaginatively across their value chain to solve problems that matter. We are committed to designing tomorrow together with our stakeholders and being a culturally inclusive, socially responsible, and environmentally sustainable organization.
Cyient Hiring Entry Level Graduates In 2025
Greetings from Cyient – Creo-Casting engineers
We are hiring Creo-Casting engineers for Hyderabad location. find below details.
Suitable can share your updated cv at [email protected]
Job Location: Hyderabad
Edu: BE/B Tech Or ME/M Tech
NP: Immediate -30 Days
Experience: 3-7 Years
Skills Required: Sheet Metals, Heavy Equipment or Automotive Engine Design / Agricultural Equipment design, Creo, Manufacturing Design – Casting
Any references Most welcome..!!
For more details to apply, Click here!
Instrumentation & Control Engineer
Job Description
Having 3-10 years of experience in,
• Developing Control Logics in DCS systems based on SAMA sheets & control narratives (preferably those that may have experience programming in a Function Block Diagram environment).
• Developing Graphics in DCS\PLC HMI systems based on P&IDs and graphic specifications.
• Preparation of Control test cases/Instructions and perform logic & graphics testing.
• Review of Functional requirements, generation of System Design Specification, preparing of Technical Reports & Generate Requirement Traceability Matrix.
• Capture functional requirements from the design documents.
• System Engineering & Cabinet Engineering
• In DCS hardware engineering, you’ll design, install, and maintain the physical components like controllers and I/O modules. You’ll troubleshoot hardware issues, configure networks, and ensure the system functions flawlessly to control industrial processes
• Created Macros, Control Logic sheets, and HMI screens based on functional requirements.
• Test procedures developed for logic and graphics testing.
• Performed engineering, CTE, & functional testing for Macros, Logic, & HMI screens.
• Test reports created to demonstrate compliance with functional requirements.
• Capable of studying and modifying Control Narratives, Functional Logic Diagrams, Cause & Effect Diagrams.
For more details to apply, Click here!
Design Specialist – Entry
Job Description :
2 to 8 yrs Plan and design experience in NAM region, AT&T scopes will be added advantage
Should have a strong telecommunications background to understand the different network design scenarios, which including Outside Plant Design /fibre plan and design experience, which includes
Understanding Field Survey Knowledge, High-Level Design. Low-Level Design, As-Build Design, Traffic Control Plan, & BAU Designs
Solid experience on Various ATT Scopes Like ASE/BAU/Structure Access/Legal Mandate/road move/restoration projects/Light Gig scopes F1,F2 and F3,, various permitting plans e.tc expertise is Mandatory
Good expertise and hands on experience on various ATT applications like ARAMIS DT/WALDO/IQ GEO is needed
Strong capabilities on Quality Check/QA/Validation/Delivery tasks for ATT requirements for multiple ATT scopes
Strong technical competence on ATT specification/Standards and able to train and groom/Mentor new people will be added advantage
Should have expertise on GPON architecture, F1,F2 and F3 scopes distribution networks planning and designing, producing permits
Should have adequate expert knowledge in FTTP network topologies, SFU/MDU and BIZ dense jobs designing specifications for fibber rollout programmes in North America Region service providers
Hands on experience on multiple Plan and design technologies and Quality Control methods, process oriented skill set will be added advantage
Should have adequate knowledge and expertise on Plan and design requirements, various
Permitting plans for North America region will be added advantage
Should have good communication skills, Problem solving skills and Analysing skills and good team player
For more details to apply, Click here!
Trainee Engineer-Data science – US
Data Collection and Preparation
Data Gathering: Collecting data from various sources, including databases, APIs, and web scraping.
Data Cleaning: Identifying and correcting errors or inconsistencies in data to ensure quality.
Data Transformation: Converting raw data into a usable format, including normalization and scaling.
Exploratory Data Analysis (EDA)
Descriptive Statistics: Calculating measures such as mean, median, mode, variance, and standard deviation.
Visualization: Creating charts, graphs, and plots to understand data distributions and relationships.
Pattern Identification: Detecting trends, anomalies, and patterns in data.
Model Development
Algorithm Selection: Choosing appropriate machine learning algorithms based on the problem at hand.
Model Training: Training models using supervised, unsupervised, or reinforcement learning techniques.
Model Evaluation: Assessing model performance using metrics like accuracy, precision, recall, F1 score, and ROC-AUC.
Deployment and Maintenance
Model Deployment: Implementing models in production environments.
Monitoring: Tracking model performance and making adjustments as needed.
Documentation: Writing clear documentation for data processes, models, and code.
Collaboration and Communication
Team Collaboration: Working with other data scientists, engineers, and stakeholders to understand requirements and deliver solutions.
Reporting: Presenting findings and insights to non-technical stakeholders through reports and presentations.
Continuous Learning: Staying updated with the latest trends and technologies in data science.
Technical Skills Development
Programming: Writing code in languages such as Python, R, SQL, and sometimes Java or Scala.
Tools and Libraries: Using data science tools and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
Database Management: Working with SQL and NoSQL databases to store and retrieve data.
Ethical Considerations
Data Privacy: Ensuring compliance with data privacy laws and regulations.
Bias Mitigation: Identifying and mitigating biases in data and models.