Teacher

Category: Software Development

Type: Internship (Remote)

Location: Remote (India)

Time Zone: GMT+05:30 (Asia/Kolkata)

Experience Range: 2 - 4 years (preferred)

Salary: ₹0L - ₹20L per year (based on skills & experience)

ESOPs Available: Yes

Job Description:

The Standard School of Machine Learning (TheSSML) is seeking a Generative AI Intern to work on cutting-edge AI research, model development, and applications in generative models. This is an exciting opportunity to gain hands-on experience in AI-driven content creation, large language models (LLMs), and deep learning-based image/video generation.

Key Responsibilities:

• Research and develop Generative AI models (GANs, VAEs, LLMs, Stable Diffusion).
• Fine-tune large language models (LLMs) for text generation and automation.
• Work on AI-based image, video, and audio generation using deep learning techniques.
• Optimize AI models for performance, scalability, and real-world applications.
• Collaborate with researchers and engineers to improve AI-based creative tools.
• Experiment with prompt engineering and prompt tuning for LLMs.
• Work with Google Vertex AI, AWS, or Azure AI to deploy models.

Must-Have Skills:

• Python, TensorFlow, PyTorch
• Machine Learning & Deep Learning (GANs, VAEs, Transformers)
• NLP & LLMs (GPT, BERT, Stable Diffusion, DALL·E)
• Data Preprocessing & Model Optimization
• Prompt Engineering & AI Content Creation

Good-to-Have Skills:

• Experience with MLOps and AI model deployment
• Knowledge of computer vision and multimodal AI models
• Familiarity with vector databases & retrieval-augmented generation (RAG)

Why Join Us?

• Work on real-world AI projects in a fast-paced research environment.
• Mentorship from industry experts in AI/ML.
• Opportunity to transition into a full-time role based on performance.

Please Apply - https://zrec.in/7EYKe?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Senior DevOps Engineer / SRE

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:      4-6 years

Education:           B.Tech/MCA

Notice Period:     Immediately

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About Us

At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.

Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.

We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.

Role Summary

We are seeking a Senior DevOps Engineer (SRE) to manage and optimize large-scale, mission-critical production systems. The ideal candidate will have a strong problem-solving mindset, extensive experience in troubleshooting, and expertise in scaling, automating, and enhancing system reliability. This role requires hands-on proficiency in tools like Kubernetes, Terraform, CI/CD, and cloud platforms (AWS, GCP, Azure), along with scripting skills in Python or Go. The candidate will drive observability and monitoring initiatives using tools like Prometheus, Grafana, and APM solutions (Datadog, New Relic, OpenTelemetry).

Strong communication, incident management skills, and a collaborative approach are essential. Experience in team leadership and multi-client engagement is a plus.

Ideal Candidate Profile

• Solid 4-6 years of experience as an SRE and DevOps with a proven track record of handling large-scale production environments
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong Hands-on experience with managing Large Scale Production Systems
• Strong Production Troubleshooting Skills and handling high-pressure situations.
• Strong Experience with Databases (PostgreSQL, MongoDB, ElasticSearch, Kafka)
• Worked on making production systems more Scalable, Highly Available and Fault-tolerant
• Hands-on experience with ELK or other logging and observability tools
• Hands-on experience with Prometheus, Grafana & Alertmanager and on-call processes like Pagerduty
• Problem-Solving Mindset
• Strong with skills - K8s, Terraform, Helm, ArgoCD, AWS/GCP/Azure etc
• Good with Python/Go Scripting Automation
• Strong with fundamentals like DNS, Networking, Linux
• Experience with APM tools like - Newrelic, Datadog, OpenTelemetry
• Good experience with Incident Response, Incident Management, Writing detailed RCAs
• Experience with Applications best practices in making apps more reliable and fault-tolerant
• Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
• Able to manage multiple clients and take ownership of client issues.
• Experience with Git and coding best practices

Good to have

• Team-leading Experience
• Multiple Client Handling
• Requirements gathering from clients
• Good Communication

Key Responsibilities

1. Design and Development:
2. Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
3. Collaborate with product and engineering teams to translate business requirements into technical specifications.
4. Write clean, maintainable, and efficient code, following best practices and coding standards.
5. Cloud Infrastructure:
6. Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
7. Implement and manage CI/CD pipelines for automated deployment and testing.
8. Ensure the security, reliability, and performance of cloud infrastructure.
9. Technical Leadership:
10. Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
11. Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
12. Lead technical discussions and contribute to architectural decisions.
13. Problem Solving and Troubleshooting:
14. Identify, diagnose, and resolve complex software and infrastructure issues.
15. Perform root cause analysis for production incidents and implement preventative measures.
16. Continuous Improvement:
17. Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
18. Contribute to the continuous improvement of development processes, tools, and methodologies.
19. Drive innovation by experimenting with new technologies and solutions to enhance the platform.
20. Collaboration:
21. Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
22. Communicate effectively with stakeholders, including technical and non-technical team members.
23. Client Interaction & Management: 
24. Will serve as a direct point of contact for multiple clients.
25. Able to handle the unique technical needs and challenges of two or more clients concurrently. 
26. Involve both direct interaction with clients and internal team coordination.
27. Production Systems Management: 
28. Must have extensive experience in managing, monitoring, and debugging production environments. 
29. Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.

Mandatory:

• 4-7 Experience in React JS,  (ReactJS 2.5yrs compulsory)
• Optional:

Knowledge in UX/UI design, Azure DevOps, Test Driven - and Domain Driven Development

• Developing of complex IT systems with various system integrations and configurations
• Data security/GDPR

• Experience in Windows NDIS networking driver development.
• Experience in developing and maintaining of Network drivers and/or IWARP drivers and/or TCP offload drivers and/or iSCSI drivers and/or FCoE drivers is preferable.
• Experience in analyzing and debugging kernel crash dumps.

• RDMA/IWARP/RoCE, TCP offload, iSCSI, FCoE, FC, Networking device drivers.
• Good knowledge in TCP/IP.
• Performance tuning, crash dump analysis, solving critical customer issues

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

•   Minimum of 12 years of Experience with Informatica ETL, Database technologies.
•   Experience with  Azure database technologies including Azure SQL Server, Azure Data Lake Exposure to Change data capture technology Lead and guide development of an Informatica based ETL architecture.
•      Develop solution in highly demanding environment and provide hands on guidance to other team members. 
•      Head complex ETL requirements and design. 
•      Implement an Informatica based ETL solution fulfilling stringent performance requirements. 
•      Collaborate with product development teams and senior designers to develop architectural requirements for the requirements.
•      Assess requirements for completeness and accuracy. 
•      Determine if requirements are actionable for ETL team. 
•      Conduct impact assessment and determine size of effort based on requirements.
•      Develop full SDLC project plans to implement ETL solution and identify resource requirements.
•      Perform as active, leading role in shaping and enhancing overall ETL Informatica architecture and Identify, recommend and implement ETL process and architecture improvements.
•      Assist and verify design of solution and production of all design phase deliverables. 
•      Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture