62 Job openings found

1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
2.00 LPA TO 2.40 LPA
Electrical engineer, PLC programmer, industrial robot programmer, CNC programming troubleshooting, SPM handling, Press machine, spot machine, utility maintenance,  Machine maintenance, robotic maintenance, automation engineering, etc.     Robotic programming and Maintenance done . (1) OTC Robots., (2) Yaskawa Robots , (3) Panasonic Robot ,(4) NACHI robot. ? RoboticAxisGreasing To Be Done. ? PLC handling ...
2 Opening(s)
3.0 Year(s) To 6.0 Year(s)
3.00 LPA TO 3.60 LPA
Post : Automation Engineer Experience : Min 3 Years Salary : up to 3.60 Lac(s) Education :  : 4 Years professional course in ELECTRONICS & COMMUNICATION ENGINEERING Certificate in INDUSTRIAL AUTOMATION containing PLCs, SCADA (PCIM), AC DRIVES, SENSORS, CALIBRATION OF INSTRUMENTS, from QUICK LOGIC CONTROLS,  Post : Skill : Well versed About Machine Shop Automation, PLC control Panel, Control circuit, Power Circuit, AC Drives, Sensors, Limit Switch, Temperature Controllers, Temperature Sensors Motors, Conveyors , Robotic ,TPM, Preventive Maintenance ,Break Down Maintenance ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
4.00 LPA TO 6.00 LPA
🔹 Key Responsibilities ⚡ Electrical Maintenance Perform routine and breakdown maintenance of electrical systems Handle HT/LT systems (11/33/66 KV) Operate and maintain DG sets, UPS, PCC/MCC panels Troubleshoot power and control circuits Maintain motors, starters (DOL, Star-Delta, F/R), and VFDs 🛡 Safety & Compliance Follow all safety standards and procedures (LOTO system) Ensure compliance with statutory and company safety ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
9.00 LPA TO 10.00 LPA
Position:    Maintenance Manager - Paint Shop Location:     Zorli near by Vapi Experience:   8 - 10 Years Industries:   Automobile Responsibilities: Lead maintenance operations of Peint Shop machines (Robots, Metallizing, PVO systems Presses / Shearing machi n es Furnace & Ball Peening machines Uti litigs — AHIJ, Chillers, Scrubber systems Oversee Electrical & Mechanical maintenance activities including: PLC (Mitsubishi & Delta) ...
4 Opening(s)
4.0 Year(s) To 10.0 Year(s)
4.00 LPA TO 8.00 LPA
Key Responsibilities: ï‚· Knowledge of DCS Programming Knowledge (Delta V DCS; PCS7).ï‚· Design, Program (PLCs, HMIs, SCADA), and deploy automation systems for efficiency).ï‚· Knowledge of PLC (Siemens; Forbes Marshall Programming Knowledge) and Scada.ï‚· Should have sound knowledge of Calibration of Instruments.ï‚· Should have experience in Shift Handling and Breakdown Maintenance activity ...
1 Opening(s)
10.0 Year(s) To 18.0 Year(s)
8.00 LPA TO 10.00 LPA
Preventive & Predictive Maintenance: Design and execute schedules to ensure 24/7 machine availability and zero electrical accidents. System Troubleshooting: Diagnose complex electrical faults in Fanuc, Siemens, or Mitsubishi controllers, focusing on high-precision CNC grinding axes and encoders. Team Leadership: Supervise electrical technicians, set daily KPIs, and conduct technical training on new automation or SCADA systems. Spare Parts Management: Control inventory for ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 12.00 LPA
Role: AWS Databricks Location: Sholinganallur - Chennai  Work Mode: Onsite/Full-time Year of Experience: 5 - 10 Years No of Positions: 1 Notice Period: Immediate or 10 daysBudget: 8-12 LPA Must Have Skills: SQL, PySpark, Databricks, AWS, Python   Good To Have Skills: PySpark, AWS CloudWatch, AWS S3, Streaming External Description: This is a technical role. No shift timings Job Description:  1) Experience in AWS Databricks Data pipelines Development - DLT, Streaming & ...
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)
3.0 Year(s) To 10.0 Year(s)
14.00 LPA TO 25.00 LPA
🔹 Key Responsibilities Design and build robust, scalable data pipelines and models. Transform raw data into actionable business insights. Develop ML models to automate processes and support predictions. Deploy and manage solutions using cloud platforms like Azure, Databricks, and ADLS. Ensure security, quality, and compliance across all solutions. Monitor systems, resolve issues, and drive root-cause fixes. Collaborate ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Python, SQL, Spark, Pandas, Airflow, Azure Data Factory, or equivalent, Azure (preferred), AWS or GCP, PostgreSQL, MS SQL Server, NoSQL (MongoDB, etc.), S3, Delta Lake, Snowflake, Redshift, BigQuery, Prometheus, Grafana, ELK, etc Cloud Technologies: Familiarity with cloud platforms such as AWS, Azure, or GCP. Programming Languages: Proficiency in Python Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent communication and collaboration skills.

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