11+ Field operations Jobs in Chennai | Field operations Job openings in Chennai

Hi All , 🚀 Greetings from Pentabay Softwares!

We’re hiring a Field Admin Officer / Field Operations Executive to join our growing team in Anna Salai (Mount Road), Chennai.

Job Title: Field Admin Officer / Field Operations Executive

Company: Pentabay Softwares

Location: Anna Salai (Mount Road), Chennai

Job Type: Full-Time

🔍 Role Overview:

If you enjoy working on the field, coordinating with people, and handling admin tasks, this role is for you! You’ll be responsible for supporting our projects by identifying suitable clinic/office locations and managing field-level operations.

📌 Key Responsibilities:

✔️ Field visits to identify suitable clinic/office locations

✔️ Coordination with brokers, agents & property owners

✔️ Handling on-ground administrative activities

✔️ Collecting and maintaining reports & documents

✔️ Providing regular updates to the team

✅ Who Can Apply?

Graduates

Freshers or up to 3 years of experience

Must own a bike with a valid license

Willing to travel within the city

Good communication skills

📍 Location: Anna Salai (Mount Road), Chennai

💼 Job Type: Full-Time

💰 Salary: As per industry standards + Travel Allowance

📩 Interested candidates can apply now or share profiles!

📧 sandhiya.m at pentabay.com

🔁 Feel free to like, share, or tag someone who might be a great fit!

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Key Responsibilities:

Sales and Business Development:

• Lead the branch team to achieve sales targets for Loan Against Property (LAP) products, ensuring overall growth in the branch's portfolio.
• Develop and implement strategies to acquire new clients, cross-sell products, and maintain long-term relationships with customers.
• Monitor market trends and competitor activities to identify opportunities and stay ahead of market demands.
• Promote the LAP product offerings through various channels, including partnerships, referral networks, and local events.

Team Leadership and Management:

• Manage, mentor, and guide the sales and operational teams to achieve individual and branch-wide sales goals.
• Conduct regular performance reviews and provide coaching and training to enhance the sales team’s skills.
• Ensure adherence to organizational standards and processes in customer acquisition and relationship management.

Customer Relationship Management:

• Establish and maintain strong relationships with key clients, stakeholders, and other business partners.
• Provide high-level support for the LAP product offering, including assisting clients with queries and guiding them through the loan process.
• Resolve customer issues or concerns related to LAP applications and ensure timely and efficient processing.

Operational Management:

• Oversee the day-to-day operations of the branch, including loan origination, documentation, disbursement, collections, and compliance.
• Ensure the branch maintains a smooth, efficient, and compliant operation in line with internal policies and external regulations.
• Monitor and maintain branch financials, including revenue, expenses, and profitability.

Reporting and Compliance:

• Provide regular reports to senior management on branch performance, including sales achievements, operational issues, and market trends.
• Ensure all processes comply with regulatory guidelines, including KYC (Know Your Customer) and AML (Anti-Money Laundering) policies.

Job Description:

We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.

Key Responsibilities:

• Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
• Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
• Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
• Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
• Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
• Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
• DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.

About the Role

We are seeking a detail-oriented QA Engineer with strong expertise in automation testing, test planning, and cloud technologies. The ideal candidate will ensure the quality and reliability of our products through rigorous manual and automated testing, while also contributing to continuous improvement in our CI/CD pipeline and cloud-native environments.

Responsibilities

• Design, develop, and execute test plans, cases, and scripts for functional, integration, system, regression, and UAT testing.
• Build and maintain automation frameworks for E2E and API testing (Playwright, SoapUI, or similar).
• Integrate automated test suites into CI/CD pipelines to enable continuous testing.
• Collaborate with developers, product managers, and DevOps engineers to ensure high-quality software delivery.
• Perform defect tracking, reporting, and root cause analysis to drive continuous improvement.
• Apply knowledge of AWS cloud-native services and Terraform to support testing in cloud-based environments.
• Write and maintain reusable test automation scripts with JavaScript/TypeScript.
• Support release validation, performance checks, and production monitoring as needed.

Must-Have Requirements

• Strong experience in test planning & execution (functional, integration, regression, UAT).
• Hands-on with automation testing frameworks (Playwright, SoapUI, etc.).
• Proficiency in JavaScript with basic understanding of TypeScript and SQL.
• Experience with Terraform and good exposure to AWS Cloud Native services.
• Ability to integrate test automation with CI/CD pipelines.

Nice-to-Have Skills

• Familiarity with other automation tools (Selenium, Cypress, Postman, etc.).
• Experience in performance testing and security testing.
• Knowledge of Docker/Kubernetes for containerized environments.
• Strong analytical and problem-solving skills.

Job Description

SquareShift is a fast-growing cloud consulting company, solving cloud challenges through excellence in technology, thought leadership, and quality in execution. We are based in Singapore, with a world-class engineering team in India. 

Founded by serial entrepreneurs, we are a team of tech-enthusiasts who have strong expertise in enterprise product development and cloud technologies.

Requirements

• 5+ years of professional experience in building and designing SaaS based web applications.
• Proven backend development skills with experience in a language like Ruby
• Knowledge of open-source technologies such as Apache, Solr, Lucene, Elastic Search, Memcached.
• Experience working with Product Management to build and release products in an agile environment.
• You are familiar with SDLC tools like Ant, Maven, Git, SVN, Jenkins, Travis, Puppet, Ansible, Docker.
• You have some knowledge around how AWS services and deployments work.
• You have excellent interpersonal skills and can explain complex problems to technical

Benefits

Why SquareShift?

We firmly believe that our growth, long term success & wellbeing as an organization are a direct outcome of the culture and teamwork. At SquareShift, you can expect,

• High-growth, collaborative environment with diverse and inclusive teams
• Continuous learning, enrichment, and development opportunities
• Competitive pay and allowances for professional development 
• Flexible time off to relax and recharge

Website - squareshift.co

As a Network Engineer at Propel, you will play a vital role in designing, implementing, and maintaining our network infrastructure to ensure optimal performance, security, and scalability. You will work closely with cross-functional teams to develop and support network solutions that align with business objectives and industry best practices.

Responsibilities 

• Design, implement, and maintain network infrastructure, including LAN, WAN, and wireless networks, Site to Site and Client to Site VPN to support business operations and growth.

• Develop and implement network security strategies, including firewall policies, intrusion detection and Prevention (IDS/IPS), access control and CCTV systems, to safeguard company data and resources.

• Configure, troubleshoot, and optimize network devices such as routers, switches, firewalls, High availability, L3/L2/PoE Switches and load balancers, QoS.

• Configure VLan and segregate access between different teams

• Perform hardware troubleshoot such as port failure, system crash, hardware failure etc.,

• Design and implement patch panels and cabling

• Monitor network performance and ensure system availability and reliability. Identify areas for improvement, implementing network optimization and redundancy solutions as needed.

• Perform network maintenance and system upgrades including service packs, patches, hot fixes and security configurations

• Collaborate with other IT teams to evaluate and recommend networking solutions for application and infrastructure projects.

• Implement security tools, policies, and procedures in conjunction with the company’s security team

• Perform network maintenance and system upgrades including service packs, patches, hot fixes, firmware and security configurations

• Monitor system resource utilization, trending, and capacity planning

• Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure.

• Monitor network performance on the availability, utilization, throughput, jitter and latency and test for weaknesses.

• Perform Vulnerability assessment Pen testing at network level and mitigate issues

• Create and maintain network documentation, diagrams, and configurations.

• Knowledge of common security vulnerabilities and OWASP vulnerabilities

• Provide support for critical network incidents on shift basis to support 24x7 model on need basis.

• Exploring automations to integrate for managing networks and provide timely network alerts

• Use ticketing system to document requests, track changes, and explain resolutions

Requirements:

• Bachelor's degree in computer science, Engineering, or a related field.

• 4+ years of experience as a Network Engineer or similar role, with a focus on implementing and managing complex network environments.

• Deep understanding of networking protocols, such as DNS, DHCP, CIDR, IPSEC TCP/IP, BGP, OSPF, and MPLS.

• Proficiency with network hardware, including routers, switches, firewalls, and load balancers from vendors like Fortinet, Cisco etc.,

• Strong knowledge of network security best practices and technologies, such as firewalls, VPNs, and intrusion detection systems.

• Experience with network monitoring and management tools

• Excellent troubleshooting and problem-solving skills and a commitment to continuous improvement.

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.

Nice-to-Have:  

• Relevant networking certifications, such as CCNP, CCIE, JNCIP, or JNCIE.

• Experience with software-defined networking (SDN) and network automation technologies, such as Ansible, Python, or REST APIs.

Others:

• Common application/ web security and OWASP vulnerabilities

• Encryption algorithms to protect sensitive information

• PII, PCI, HIPPA, and GDPR compliance and how to implement

• Finding the vulnerabilities of the third-party components/ libraries

• Understanding security breaches of data-in-transit and data-at-rest and its implementation

5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.

· Bachelor's in computer science, software engineering or similar

· Hands-on Sitecore development experience.

· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.

· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies

· Experience with REST, Web Services, Web application frameworks

· Experience with build automation tools

· Experience in TDD and software testing frameworks

· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)

· Strong adherence to a consistent delivery methodology and associated deliverable generation

The responsibilities and duties section is the most important part of the job description. Please read them below and if interested, do go ahead and apply!

Roles and Responsibilites:

• Manages talent acquisition process, including sourcing, testing, interviewing, hiring and onboarding
• Keeps job descriptions up-to-date, accurate and compliant with relevant federal, state and local laws for all positions
• Develops training and performance management program that ensures all employees are familiar with their job responsibilities, as well as relevant legal and safety requirements
• Creates and updates compensation strategy through market analysis and pay surveys
• Handles investigation and resolution of employee issues, concerns and conflicts
• Ensures all employment practices comply with federal, state and local regulations