Marketing Associate

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Company Description

YuniQ is a technology-driven company dedicated to utilizing innovation to create a better world. With a founding team boasting over two decades of expertise, we develop solutions that empower brands to connect deeply with their customers by delivering exceptional and efficient experiences. YuniQ is committed to shaping the future by crafting cutting-edge products and refining essential services. Our mission is to leverage technology as a force for good, enriching and enhancing the human experience. Join us in transforming innovation into impactful solutions that make a meaningful difference in people's lives.

Role Summary

We are looking for a Product Marketing Manager with 4–6 years of experience in B2B SaaS to support GTM strategy, product positioning, and content development for Perfect Doc Studio and Flow AI. The ideal candidate can translate technical concepts into simple, compelling value for business and technical audiences, and work closely with Sales, Product, and Marketing teams.

Key Responsibilities

• Support GTM planning, product launches, and feature messaging.
• Translate complex technical capabilities into clear, persona-based value stories.
• Develop content: presentations, blogs, battlecards, web copy, videos, webinars.
• Conduct competitive research and market insights to refine positioning.
• Enable Sales with pitch decks, one-pagers, use cases, and vertical messaging.
• Collaborate with Product Management on roadmap alignment and customer insights.

Requirements

• 4-6 years in B2B & SaaS marketing or product marketing.
• Strong communication and storytelling skills.
• Experience working with technical products or enterprise software.
• Ability to manage multiple priorities in a fast-paced environment.
• Knowledge of Insurance or Financial Services is a plus (not mandatory).

NOTE- Candidate from Chennai location is eligible for this role.

Industry

• IT Services and IT Consulting

Employment Type

Full-time

About the Role

We’re looking for a Lead Generation Expert who can bring qualified leads consistently—not limited to freelancing platforms. If you understand how to convert cold contacts into warm leads using a mix of platforms and outreach strategies, we want to talk.

Key Responsibilities

●      Generate leads daily from platforms like Upwork, PeoplePerHour, Fiverr, etc.

●      Run email campaigns and cold outreach via tools like Instantly, Apollo, or Lemlist.

●      Use LinkedIn and Twitter actively to connect and nurture leads.

●      Build lead databases from directories, web scraping, or AI tools.

●      Track performance and ensure consistency in lead flow.

●      Coordinate with the sales and marketing team for feedback loops.

Requirements

●      Minimum 3 years of experience in lead generation across multiple channels.

●      Proven track record of delivering high-quality, converting leads.

●      Comfortable using automation tools and CRMs.

●      Strong written English and communication skills.

Must be result-driven. We’re investing in you—we expect results

Job Summary:(Only Female Teacher can apply)

A science teacher or specialized high school teacher educates high school students to prepare them for postsecondary school or the workforce. Their main duties include planning and instructing lessons, assessing and supporting students’ strengths and weaknesses, and adapting and enforcing classroom policies.

Key Responsibilities:

• Planning and instructing lessons on science topics, such as biology, chemistry or physics for 6 to 8th class
• Enforcing classroom management and school administrative policies
• Assessing and accommodating students’ learning needs and styles
• Using technology to deliver lessons and other educational materials
• Communicating effectively with students, parents and staff
• Preparing students for standardized science and post-secondary entrance tests
• Grading students’ assignments, tests and exams

• Take the microservices architecture to the next level of scalability, efficiency, observability, and availability. 
• Build, deploy & run multi-homed systems that work in multiple regions and cloud providers. 
• Build (and open source) data processing, storage and fetch systems at the petabyte scale with the lowest cost/GB while still responding in milliseconds at the 99th percentile. 
• Optimize algorithms which influence personalization, fulfillment/allocation, pricing, maps & routing, fleet positioning, payments, fraud prevention etc 
• Create platforms, reusable libraries, and utilities wherever applicable 
• Write high-quality code that is modular, functional and testable; Establish the best coding practices 
• Formally mentor junior engineers on design, coding, and troubleshooting 
• Troubleshoot issues effectively in a distributed architecture 
• Communicate, collaborate and work effectively in a global environment 
• Operationalize releases by partnering with Tech operations on capacity planning and operability of the product

Experience:

• of years  - 10+ years
• Type of experience - software design, development & architecture
• Experience in Product companies working on Internet-scale applications is preferred 
• Contribution to open-source software, tech blogs, talking at tech conferences, etc. 

Educational Qualifications:

○  Must have - Bachelor’s or Master’s degree in Engineering from premier institutes preferred  

Key competencies:

•  Deep understanding of one or more of Java/Go/Scala/C++. Ability to understand and critique the core library/language constructs. 
• Knowledge of processor, memory, network and storage internals. 
• Deep understanding of distributed systems including fault modeling, concurrency, isolation, consensus etc. 
• Internals of a RDBMS like MySQL 
• Conversant with the internals of systems like Kafka, Cassandra/Scylla, Redis, RocksDB, etc 
• Working knowledge of hosting and network infrastructure (K8s, Envoy, etc) 
• Familiarity with binary serialization protocols like thrift/protobuf/flatbuffers etc 
• Familiar with gRPC, HTTP/2, QUIC, etc. 
• Troubleshooting memory issues, GC tuning, resource leaks etc. 
• Strong problem-solving skills, algorithmic skills and data structures. 
• Productionizing machine learning pipelines using Spark/Flink/TensorFlow etc 

• Responsible for Verification Strategy, Infrastructure, Planning and Execution (Manual and Automation)
• Participate in requirements, architecture, and design reviews to come up with an appropriate test strategy.
• Author Review & execute automated tests.
• Maintenance of Automation Test Cases / Frameworks
• Excellent communication skills, ability to quickly make and influence technical decisions as part of the product development, and drive open issues to a successful closure
• Drive continuous integration by development and automated execution of verification & validation tests.
• Provide estimates of detailed level project-related verification activities.
• Understand and manage integration points with other systems that interface with your applications

Qualifications

• Bachelor’s degree in Computer Science or master’s degree in Software Engineering or Information Science/Technology or a related field with 4-8 years experience.
• 4+ years of experience in testing enterprise and web applications.
• Experience with object-oriented programming languages like Java.
• 4+ years of experience in working with automated tools like Selenium.
• Experience in developing different automation framework architecture, API automated tools
• Hands-on in javascript.
• Experience in writing complex SQL queries and PL/SQL knowledge.
• Familiarity with SCRUM/AGILE software development lifecycle (requirements, design, code, test)
• Ability to work with cross-functional and remote teams.

Good to Have

• Azure Cloud Dev ops experience
• Working experience on source control systems (e.g. Git)

• Expert in Python. Comfortable with Web frameworks, such as Flask or Django
• Familiarity with Object Relational Mapping Libraries and ability to Integrate with Multiple Data Sources into One System
• Understanding of Limitations of Python and Multi Process Architecture. Understanding of Design Principles of Scalable Application
• Has familiarity with data frameworks in Python - Pandas or
• Good object-oriented design skills and knowledge of design
• Knowledge of key-value stores, caching, search, messaging queues
• Minimum 5 years of experience in the above

Working closely with the Product group and other teams, the Data Engineer is responsible for the development, deployment and maintenance of our data infrastructure and applications. With a focus on quality, error-free data delivery, the Data Engineer works to ensure our data is appropriately available and fully supporting various constituencies across our organization. This is a multifaceted opportunity to work with a small, talented team on impactful projects that are essential to ACUE’s higher education success. As an early member of our tech group, you’ll have the unique opportunity to build critical systems and features while helping shape the direction of the team and the product.