
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!

About AdElement
About
AdElement is an online advertising startup based in Pune. We do AI driven ad personalization for video and display ads. Audiences are targeted algorithmically across biddable sources of ad inventory through real time bidding. We are looking to grow our teams to meet the rapidly expanding market opportunity.
Connect with the team
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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

About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
Senior Devops Engineer
Who are we?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.
What do we believe?
- Best practices are overrated
- Implementing best practices can only make one n ‘average’ .
- Honesty and Transparency
- We believe in naked truth. We do what we tell and tell what we do.
- Client Partnership
- Client - Vendor relationship: No. We partner with clients instead.
- And our sales team comprises 100% of our clients.
How do we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.
- Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
- Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
- Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
- Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
- Innovative: Innovate or Die. We love to challenge the status quo.
- Experimental: We encourage curiosity & making mistakes.
- Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
- Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
- Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Introduction
When was the last time you thought about rebuilding your smart phone charger using solar panels on your backpack OR changed the sequencing of switches in your bedroom (on your own, of course) to make it more meaningful OR pointed out an engineering flaw in the sequencing of traffic signal lights to a fellow passenger, while he gave you a blank look? If the last time this happened was more than 6 months ago, you are a dinosaur for our needs. If it was less than 6 months ago, did you act on it? If yes, then let’s talk.
We are quite keen to meet you if:
- You eat, dream, sleep and play with Cloud Data Store & engineering your processes on cloud architecture
- You have an insatiable thirst for exploring improvements, optimizing processes, and motivating people.
- You like experimenting, taking risks and thinking big.
3 things this position is NOT about:
- This is NOT just a job; this is a passionate hobby for the right kind.
- This is NOT a boxed position. You will code, clean, test, build and recruit & energize.
- This is NOT a position for someone who likes to be told what needs to be done.
3 things this position IS about:
- Attention to detail matters.
- Roles, titles, ego does not matter; getting things done matters; getting things done quicker & better matters the most.
- Are you passionate about learning new domains & architecting solutions that could save a company millions of dollars?
Roles and Responsibilities
This is an entrepreneurial Cloud/DevOps Lead position that evolves to the Director- Cloud engineering .This position requires fanatic iterative improvement ability - architect a solution, code, research, understand customer needs, research more, rebuild and re-architect, you get the drift. We are seeking hard-core-geeks-turned-successful-techies who are interested in seeing their work used by millions of users the world over.
Responsibilities:
- Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies
- Design, deploy and maintain Cloud infrastructure for Clients – Domestic & International
- Develop tools and automation to make platform operations more efficient, reliable and reproducible
- Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure
- Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools
- Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners
- Take initiatives to lead, drive and solve during challenging scenarios
Requirements:
- 3 + Years of experience in Cloud Infrastructure and Operations domains
- Experience with Linux systems, RHEL/CentOS preferred
- Specialize in one or two cloud deployment platforms: AWS, GCP, Azure
- Hands on experience with AWS services (EC2, VPC, RDS, DynamoDB, Lambda)
- Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net)
- Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
- Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef
- Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
- Deep experience in customer facing roles with a proven track record of effective verbal and written communications
- Dependable and good team player
- Desire to learn and work with new technologies
Key Success Factors
- Are you
- Likely to forget to eat, drink or pee when you are coding?
- Willing to learn, re-learn, research, break, fix, build, re-build and deliver awesome code to solve real business/consumer needs?
- An open source enthusiast?
- Absolutely technology agnostic and believe that business processes define and dictate which technology to use?
- Ability to think on your feet, and follow-up with multiple stakeholders to get things done
- Excellent interpersonal communication skills
- Superior project management and organizational skills
- Logical thought process; ability to grasp customer requirements rapidly and translate the same into technical as well as layperson terms
- Ability to anticipate potential problems, determine and implement solutions
- Energetic, disciplined, with a results-oriented approach
- Strong ethics and transparency in dealings with clients, vendors, colleagues and partners
- Attitude of ‘give me 5 sharp freshers and 6 months and I will rebuild the way people communicate over the internet.
- You are customer-centric, and feel strongly about building scalable, secure, quality software. You thrive and succeed in delivering high quality technology products in a growth environment where priorities shift fast.


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

