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Job Title : Python Data Engineer

Experience : 4+ Years

Location : Bangalore / Hyderabad (On-site)

Job Summary :

We are seeking a skilled Python Data Engineer to work on cloud-native data platforms and backend services.

The role involves building scalable APIs, working with diverse data systems, and deploying containerized services using modern cloud infrastructure.

Mandatory Skills : Python, AWS, RESTful APIs, Microservices, SQL/PostgreSQL/NoSQL, Docker, Kubernetes, CI/CD (Jenkins/GitLab CI/AWS CodePipeline)

Key Responsibilities :

• Design, develop, and maintain backend systems using Python.
• Build and manage RESTful APIs and microservices architectures.
• Work extensively with AWS cloud services for deployment and data storage.
• Implement and manage SQL, PostgreSQL, and NoSQL databases.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Set up and maintain CI/CD pipelines using Jenkins, GitLab CI, or AWS CodePipeline.
• Collaborate with teams to ensure scalable and reliable software delivery.
• Troubleshoot and optimize application performance.

Must-Have Skills :

• 4+ years of hands-on experience in Python backend development.
• Strong experience with AWS cloud infrastructure.
• Proficiency in building microservices and APIs.
• Good knowledge of relational and NoSQL databases.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools and DevOps processes.
• Strong problem-solving and collaboration skills.

Role overview:

• Must have About 5 - 11 years and at least 3 years relevant experience with Bigdata. 
• Must have Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data. 
• Must have experience in Hadoop, Hive, Spark with Scala with good experience in performance tuning and debugging issues.
• Good to have any stream processing Spark/Java Kafka. 
• Must have experience in design and development of Big data projects.
• Good knowledge in Functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications. 
• Familiarity with build tools like Maven. 
• Must have experience with any RDBMS and at least one SQL database preferably PostgresSQL
• Must have experience writing unit and integration tests using scaliest
• Must have experience using any versioning control system - Git 
• Must have experience with CI / CD pipeline – Jenkins is a plus  
• Basic hands-on experience in one of the cloud provider (AWS/Azure) is a plus
• Databricks Spark certification is a plus.

What would you do here:

As a Software Development Engineer 2 you will be responsible for expanding and optimising our data and data pipeline architecture as well as optimising data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimising data systems and building them from the ground up. The Data Engineer will lead our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimising or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

•Create and maintain optimal data pipeline architecture

•Assemble large complex data sets that meet functional / non-functional business requirements.

•Identify design and implement internal process improvements: automating manual processes optimising data delivery, coordinating to re-design infrastructure for greater scalability etc.

•Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

•Keep our data separated and secure

•Work with data and analytics experts to strive for greater functionality in our data systems.

- Support PROD systems

IT Operations Management:

 Oversee daily IT operations including infrastructure, service desk, data center,

and network management.

 Ensure high availability, performance, and security of all IT services and

platforms.

 Implement and uphold ITIL best practices across incident, change, problem, and

service management.

 Lead and mentor the IT operations team to achieve performance and service

excellence.

 Monitor KPIs and drive continuous improvement in IT service delivery.

Presales Support for Managed Services:

 Collaborate with Sales and Solution Architects to develop tailored Managed

Services offerings for prospective clients.

 Participate in client meetings to present operational capabilities, service

models, and SLAs.

 Contribute to proposals, RFP responses, and technical documentation for

managed services solutions.

 Provide technical insights and feasibility assessments for client requirements.

Customer Infrastructure Transition:

 Lead the transition and onboarding of customer IT environments into our

Managed Services framework.

 Define and execute transition plans including discovery, documentation,

handover, and stabilization.

 Coordinate with internal teams and client stakeholders to ensure smooth

migration of services and minimal disruption.

 Identify risks and mitigation strategies during the transition phase.

Vendor and Compliance Management:

 Manage third-party service providers and ensure SLA compliance.

 Ensure adherence to industry standards, security practices, and regulatory

requirements.

 Participate in IT budgeting, procurement, and capacity planning.

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
• Design, build reliable and scalable automated processes for large scale machine learning.
• Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
• Collaborate with Business, Technology and Product teams to stand-up MLOps process.
• Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
• Deep dive into complex algorithmic and product issues in production
• Own metrics and reporting for delivery team. 
• Set a clear vision for the team members and working cohesively to attain it.
• Mentor and coach team members

Qualifications and Skills:

Requirements

• Engineering degree in any stream
• Has at least 7 years of prior experience in building ML driven products/solutions
• Excellent programming skills in any one of the language C++ or Python or Java.
• Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
• Developed and productized large-scale models/algorithms in prior experience
• Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
• Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
• Good verbal, written and presentation skills.
• Ability to learn new skills and technologies.
• 3+ years working with retail or CPG preferred.
• Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

• Identifying New Sales Leads via Direct Customer Engagement.
• Qualifying the pre-generated leads over the call/Email/Softwares.
• Generate own leads/References from new customers at the time of acquisition.
• Achieving Sales Target & implementing sales promotional strategies of that particular region.
• Speaking with business owners, CEO, CXO, decision makers & explaining the product
• Understanding the requirement of B2B customers & demonstrating the services along with value proposition
• Establish and develop network of customers.
• Coordinating with sales team
• Passion, desire and motivation to sell and close new business
• Strong relationship building and management skills.
• Understanding of Web, Mobile Apps, IOT, Blockchain, Game technologies.

• Excellent Verbal and Written in English.
• Excellent knowledge of MS Office.
• Aggressive attitude and driven by Sales Numbers.
• Thorough understanding of Sales and Marketing with negotiating techniques.
• Fast learning speed and a passion for Sales.
• Self-motivated with a results-driven approach.
• Aptitude in delivering attractive presentations.
• Qualification BE/ B.Tech (Comp Science) with MBA(Sales)

• Manage the sales team to sell advertisement space and time.
• Maintain a good relationship with clients to ensure continuous business growth.
• Coordinate with Sales Head to set pricing for advertisements.
• Ensure on-time delivery and quality of advertisements.
• Ensure timely advertising billing and payment for customers
• Develop sales strategies to achieve short and long term sales revenue objectives.
• Review the sales processes and suggest improvements.
• Communicate regularly with customers and management to discuss advertising project progress, status, and issues if any.
• Develop innovative and creative ideas for increasing sales.
• Develop an overall budget and manage expenses within the budget.
• Prioritize customers based on revenue potential.
• Determine new sales opportunities by studying the latest market trends.
• Plan the advertising account activities such as identifying customers, managing resources, and setting deadlines.
• Determine the sales forecast and present the figures to the management and customers.
• Prepare sales presentations and proposals for customers.

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

Creative Content Writer - B2B/B2C

Description:

Our clients have stories that need telling, we’re looking for storytellers who weave the right narrative for them. Are you comfortable telling stories of social impact, societal change, industrial evolution, and technological innovation? Are you well-versed with corporate communication, writing content for B2B marketing and sales, and enterprise content marketing? Have you worked on a large variety of content types - emails, brochures, flyers, social media content, website copy, sales presentations, webinar decks, articles, and whitepapers? Then you might be a good fit for this job.

Competencies:

• Ability to work on multiple projects simultaneously, effectively juggle diverse writing demands, and deliver on-time
• High retention capacity and the ability to understand client briefs to create effective content strategies.
• An unerring eye for detail and a knack for creativity. 

Skills:

• Ability to interpret data to make recommendations for optimizing online content marketing.
• Unique, engaging, and varied writing styles with good proofreading and research skills.
• Knowledge of keywords, meta tags, SEO, and basic writing terminologies.

Experience:

• Understands marketing KPIs and ROI generated from content marketing programs, including an understanding of how content sources influence audience acquisition pipelines.
• Experienced in writing blogs, product portfolios, reports, web content, brochures, and other marketing collateral for B2B/B2C clients.
• Has a solid foundation in SEO, content strategy, analytics, copywriting, and copy editing.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in both B2B and B2C domains. Please share only samples of work done by yourself for actual clients. Share only creative work done for an actual company, strictly no SEO blogs or personal blogs. . Shortlisting will be followed by a video interview.

• Experience in open source technologies - Solr, Redis, Kafka
• Exposure to building & managing applications in Amazon Webservices (AWS)
• Experience in security, scalability & performance aspects of solution
• Critical Skills: 1. Java / J2EE, Spring, PostGreSQL 2. Nginx, Tomcat 3. Developing REST webservices