Experience: 9 to 13 years
Must have experience in Thingworx + PTC
It will be a support role, not the development one.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Job Title: Sr. DevOps Engineer
Experience Required: 2 to 4 years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
4 years + of experience in DevOps or Site Reliability Engineering (SRE).
4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.
You can directly contact us: Nine three one six one two zero one three two
PythonAt Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.
We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.
Requirements:
- Deep understanding of distributed systems and asynchronous programming in Python
- Experience with building scalable applications using LLMs or traditional ML techniques
- Experience with Databases, Cache, and Micro services
- Experience with DevOps is a huge plus
PythonAbout Synorus
Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.
If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.
Role Overview
We are seeking passionate AI/LLM Engineering Interns who can:
- Fine-tune LLMs for legal domain use-cases
- Train and experiment with open-source foundation models
- Work with large datasets efficiently
- Build RAG pipelines and text-processing frameworks
- Run model training workflows on Google Colab / Kaggle / Cloud GPUs
This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.
Key Responsibilities
- Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
- Build and preprocess legal datasets at scale
- Develop efficient inference & training pipelines
- Evaluate models for accuracy, hallucinations, and trustworthiness
- Implement RAG architectures (vector DBs + embeddings)
- Work with GPU environments (Colab/Kaggle/Cloud)
- Contribute to model improvements, prompt engineering & safety tuning
Must-Have Skills
- Strong knowledge of Python & PyTorch
- Understanding of LLMs, Transformers, Tokenization
- Hands-on experience with HuggingFace Transformers
- Familiarity with LoRA/QLoRA, PEFT training
- Data wrangling: Pandas, NumPy, tokenizers
- Ability to handle multi-GB datasets efficiently
Bonus Skills
(Not mandatory — but a strong plus)
- Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
- Familiarity with vLLM, llama.cpp, GGUF
- Worked on summarization, Q&A or document-AI projects
- Knowledge of legal texts (Indian laws/case-law/statutes)
- Open-source contributions or research work
What You Will Gain
- Real-world training on LLM fine-tuning & legal AI
- Exposure to production-grade AI pipelines
- Direct mentorship from engineering leadership
- Research + industry project portfolio
- Letter of experience + potential full-time offer
Ideal Candidate
- You experiment with models on weekends
- You love pushing GPUs to their limits
- You prefer research + implementation over theory alone
- You want to build AI that matters — not just demos
Location - Remote
Stipend - 5K - 10K
Go Programming (Golang)
Ruby on Rails (ROR)
RubyPython
JavaJob Responsibilities
✓ Perform the role of Technical Lead on assigned projects to drive solution design (especially backend) and API services development.
✓ Be the thought leader and champion for above mentioned technologies.
✓ Drive technical analysis for new projects including planning and driving proof-of-concepts, if needed.
✓ Drive tasks related to backend development by providing architectural and technical leadership to mid-tier and database developers.
✓ Conduct peer reviews as the lead into Git to confirmed that developed code meets acceptable standards and guidelines.
✓ Work closely with the rest of the leads, mid-tier development, front-end developers, database developers, etc. to ensure end-to-end integrity of the solution being developed.
✓ Work closely with the rest of the tech leads and senior engineering leadership team to ensure reuse where applicable to increase productivity and throughput.
✓ Conduct technical interview to staff open positions in the backend team.
✓ Delegate work and assignments to team members
✓ Collaborate with their team to identify and fix technical problems
✓ Analyze users' needs and then finding applications to serve them
✓ Drive assigned tasks related to SOC 2 certification and ensure compliance to defined controls for areas under lead’s purview.
✓ Guiding their team through technical issues and challenges
✓ Prepare Technical design documents which would help the team to understand the technical flow
✓ Active participation in customer calls especially discussions related to Technical/Architectural and provide inputs.
Required Experience:
✓ Backend Lead around 14 years of experience
✓ Server less Computing Architecture
✓ NodeJS, MySQL, Jenkins, Python, GitLab Technologies
✓ Good knowledge of AWS Cloud
✓ Full cycle AWS implementation experience
✓ Project experience in development and maintenance support for AWS web service and Cloudbased implementations
✓ Experience leading teams of up to 10 + professionals
Ability to manage multiple tasks and projects in a fast-moving environment
Educational Qualifications:
Engineering graduate or B. Tech/MCA with relevant major subjects like Computer Science
Snowflake SRE JD
Your Role Accountabilities
- Primarily responsible for administrating Snowflake environments on AWS
- Identify, tune, and fix the performance issues on priority.
- Diagnose and troubleshoot Snowflake related errors and work with team to raise support tickets, follow ups and help to resolve them.
- Implement security, roles, users and privileges using the best practices.
- Provide database/objects recovery as need on basis.
- Design, identify and implement high performing and highly available data warehouse solutions.
- Create database, schema, tables, views, data sharing
- Create Snowflake utilization and capacity/cost plans, identifies, and provide solution for abnormalities.
- Proactively identify, design, and implement process improvements like automating manual processes
- Stay up-to-date with the latest features and best practices in Snowflake administration
- Follow existing database runbooks, create and maintain new runbooks for new and improved processes
- Provide 24X7 On-call support by participating in rotation schedule.
Qualifications & Experiences
- Bachelor's degree in computer science, information systems, or information technology.
- 10+ years of experience as a database administrator.
- Minimum 5+ years of hands-on administration experience, from setting up the Snowflake environments to successfully administering it (AWS preferred)
- Experience automating, scripting, and streamlining processes for efficiency and accuracy utilizing Unix shell scripting, Python etc.
- Some experience with AWS with knowledge of S3, EC2, VPC, IAM, Security, Networking etc.
- Ability and experience with the development of processes and procedures to standardize Database configuration
- Extensive experience with implementation and maintenance of Disaster Recovery and High availability.
- Ability to work on unusually complex technical problems and provide solutions that are highly innovative and ingenious.
- Ability to provide technical documentation and project plans for technical staff members.
- Excellent communication, presentation, and customer relationship skills.
- Excellent organizational and time management skills to handle multiple tasks simultaneously
- Ability to provide 24/7 support.
Data Science
Machine Learning (ML)Location: Ahmedabad / Pune
Team: Technology
Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.
PRIMARY RESPONSIBILITIES:
● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.
KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.
EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
NodeJS (Node.js)
React.js
Javascript
HTML/CSS
GitRole:Full-Stack developer
Must have: Strong JavaScript Fundamentals
Qualifications:
2+ years of hands-on experience in writing secure, efficient, high-quality code and have a good understanding of JS.
Frontend:
- Develop frontend components on ReactJS with Redux as state management library
- Should have good knowledge of tailwind CSS
- Must have expertise in JavaScript, ES6, React-Redux, HTML/CSS
- Familiarity with build tools such as Webpack, Babel
- Experience with testing tools such as Jest
- Experience in web security and performance on mobile and desktop
- Familiarity with Git.
- Should be able to make mobile responsive designs
- Knowledge on PWA would be an added advantage
Backend:
- Develop backend APIs on Express.js and NodeJS
- Should be good with SQL database and perform DDL,DRL,DQL,DCL on database ,preferably PostgresDb.
- Should have familarity with ORM such as sequilize.
- Knowledge on server-less architecture is good
- Experience with monitoring tools web performance and caching techniques
- Experience working in agile methodology projects
- Should have knowledge of design patterns, design practices
- Should have the ability to design and write reusable code
- Ready to work in a challenging and fast-paced environment
- Experience in building Cloud Native applications
- Experience in test-driven development
What the candidate will do:
* Fast learner: We are looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits- all solutions.
* A great teammate: Believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on other candidates feedback for continuous improvement.
JavascriptHTML/CSS
AngularJS (1.x)NodeJS (Node.js)
Leadership
PythonData Science
R ProgrammingAbout us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon