Jobs in India

Staff Software Engineer Fern Salary India in India

415 active opportunities · Updated October 2026

Explore current staff software engineer fern salary india jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

Hiring demand

54/100

steady · 202 related jobs

Hiring trend

+19.6%

Job postings compared with the previous 30 days

Remote options

5.4%

Share of matching jobs listed as remote

SI
📍 Bengaluru, KARNATAKA, India· Full-time
✓ Quality checkedCompany trend -71.4%

Staff required for office cleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP574451

SI
📍 Hyderabad, TELANGANA, India· Full-time
✓ Quality checkedCompany trend -71.4%

Staff Management Supervise train and schedule servers hosts and bartenders. Conduct pre-shift briefings and performance evaluations.Operations Oversight Manage opening and closing duties monitor inventory levels and handle point-of-sale (POS) systems.Customer Service Greet guests ensure satisfaction and resolve complaints or special requests professionally.Quality & Safety Control Enforce local health hygiene and food safety regulations. Inspect dining areas for cleanliness and proper setup.Department Coordination Liaise with the kitchen stewarding and management teams to streamline service. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP574629

AIGoLeanCustomer Service
AG
📍 Singrauli, MADHYA PRADESH, India· Full-time
✓ Quality checkedCompany trend -88.7%

The Lead/Operational Support Staff - Boiler Chemistry will be responsible for monitoring, controlling, and optimizing boiler water chemistry, steam-water cycle chemistry, and Flue Gas Desulphurization (FGD) process chemistry to ensure safe, reliable, and efficient plant operation. The role involves chemical analysis, operational support, troubleshooting, environmental compliance, and adherence to power plant chemistry standards. Source: Adani Group | Job ID: 57499

J
📍 India· Full-time· Remote
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

PythonAWSRestMachine Learning
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