Agile Project Manager

Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)

Location: Pune – Onsite

About Us:

We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!

Role Overview:

We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.

Key Responsibilities:

• Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
• Collaborate with data scientists and engineers to build scalable AI-driven solutions.
• Analyze large volumes of data to extract meaningful insights and improve ad performance.
• Develop and deploy machine learning pipelines for automated decision-making.
• Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
• Optimize existing models for speed, scalability, and accuracy.
• Work closely with product managers to align AI solutions with business goals.

Requirements:

• Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
• Strong programming skills in Python, R, or similar languages.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Expertise in data processing and real-time analytics.
• Strong understanding of digital advertising, programmatic platforms, and ad server technology.
• Excellent problem-solving and analytical skills.
• Immediate joiners preferred.

Preferred Skills:

• Knowledge of big data technologies like Spark, Hadoop, or Kafka.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with MLOps practices and tools.

How to Apply:

If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.

Join us in building the future of AI-driven digital advertising!

Lead DevSecOps Engineer

Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time

Apply here → https://lnk.ink/CLqe2

About FlytBase:

FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.

We're building intelligent autonomy — not just automation — and security is core to that vision.

What You’ll Own

You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.

Expect to:

• Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
• Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
• Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
• Build for Zero Trust security — logs, secrets, audits, access policies
• Lead incident response, postmortems, and playbooks to reduce MTTR
• Automate and secure CI/CD pipelines with SAST, DAST, image hardening
• Script your way out of toil using Python, Bash, or LLM-based agents
• Work alongside dev, platform, and product teams to ship secure, scalable systems

What We’re Looking For:

You’ve probably done a lot of this already:

• 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
• Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
• Strong in Linux internals, OS hardening, and network security
• Built and owned CI/CD pipelines, IaC, and automated releases
• Written scripts (Python/Bash) that saved your team hours
• Familiar with SOC 2, ISO 27001, threat detection, and compliance work

Bonus if you’ve:

• Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.

What It Means to Be a Flyter

• AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
• Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
• Joy in complexity: Security + infra + scale = your happy place.
• Radical candor: You give and receive sharp feedback early — and grow faster because of it.
• Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
• H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
• Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.

Perks:

▪ Unlimited leave & flexible hours

▪ Top-tier health coverage

▪ Budget for AI tools, courses

▪ International deployments

▪ ESOPs and high-agency team culture

Apply Here- https://lnk.ink/CLqe2

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –

• Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack 
• Building and Scaling on Kubernetes
• Ensuring the Security of Upswing Cloud Infra
• Building Security Checks and automation to improve overall security posture 
• Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
• Mentoring people across the teams to enable best practices 
• Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure

What will you do if you join us?

• Write a lot of code
• Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org 
• Taking Ownership of existing, ongoing, and future initiatives 
• Plan Architecture- for upcoming infrastructure
• Build for Scale, Resiliency & Security 
• Introduce best practices wrt Devops & Cloud in the team
• Mentor new/junior team members and eventually build your own team

You should have

• Curiosity for on-the-job learning and experimenting with new technologies and ideas
• A strong background in Linux environment
• Must have Programming skills and Experience
• Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
• Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
• Experience in Terraform is highly desirable but not mandatory
• Experience with Kubernetes and Docker is required 
• Understanding of the Java Technologies and Stack
• Any other Devops related experience will be considered

Role:

• Developing a good understanding of the solutions which Company delivers, and how these link to Company’s overall strategy.
• Making suggestions towards shaping the strategy for a feature and engineering design.
• Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.  
• Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
• Acting as the Lead Engineer on a project. Helps ensure others follow Company processes, such as release and version control.
• An active member of the team, through useful contributions to projects and in team meetings.
• Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.

Requirements:

• Acquired strong proven professional programming experience.
• Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
• Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS 
• Proven track record and expert in one of the field - DevOps/Frontend/Backend
• Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
• Experience with at least one of the Database systems - RDBMS and NoSQL
• Ability to document requirements and specifications.
• A naturally inquisitive and problem-solving mindset.
• Strong experience in using AGILE or SCRUM techniques to build quality software.
• Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro