Autonomize AI

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.

Note : Apply only if applicants are open to work on-site in Bangalore.

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us.

The Opportunity



Senior Software Development Engineer is responsible for Architecting, Developing & Testing the Autonomize Health platform & applications including the UI, middleware, backend data pipelines, APIs, and cloud operations architecture.

You’re a Fit If You Have

• 7+ years of experience building web applications from scratch, owning the journey from idea → architecture → implementation → deployment → scale.
• Strong experience in designing and architecting scalable, resilient, production-grade systems, with a clear understanding of performance, reliability, and fault tolerance.
• Extensive, hands-on experience in Python and JavaScript (primary languages).
• Experience with Node.js is required.
• Experience with TypeScript and React.js is highly valued.
• Strong understanding of RESTful API design, API versioning, authentication/authorization, and best practices for building scalable backend services.
• Deep experience with Microservices architecture, including service decomposition, inter-service communication, observability, and failure handling.
• Strong database expertise with hands-on experience in: Relational databases: PostgreSQL, MySQL, NoSQL databases: MongoDB
• Experience in schema design, query optimization, indexing, and data modeling for scale.
• Sound exposure to Python and/or JavaScript-based backend frameworks such as Django, Flask, or similar.
• Strong experience with containerization and orchestration, including: Docker, Kubernetes (deployment, scaling, configuration, troubleshooting)
• Hands-on experience working with event-driven and distributed systems, including: Kafka, ActiveMQ, and/or Redis
• Experience working with at least one major public cloud platform: AWS, Azure, or GCP
• Experience deploying, scaling, and managing cloud-native applications.
• Experience building end-to-end systems from an architectural point of view — making design decisions, evaluating trade-offs, and executing with minimal supervision.
• Experience in integrating, deploying, and operationalizing Machine Learning / Deep Learning models into real-world production systems.
• Solid understanding of Data Structures & Algorithms (DSA) and ability to apply them to solve real-world engineering problems.
• Familiarity with Agile / Rapid development processes and working in fast-paced, evolving environments.
• Strong interpersonal communication skills, including client interaction, technical discussions, and collaborative problem-solving.

Bonus Points:

• Experience leading and mentoring teams, driving quality and delivery through Technical direction, Code reviews
• Hands-on problem solving
• Experience working closely with stakeholders and product teams to translate business needs into clear, actionable engineering requirements.
• Familiarity with visualization libraries such as D3.js.
• Familiarity with AI/ML and Data Analytics frameworks.
• Experience with search, graph, or analytics databases, such as: Elasticsearch (ELK stack), Graph databases (Neo4j, TigerGraph, etc.)
• Exposure to OpenAI APIs and modern AI platform integrations.
• Strong owner mentality — self-directed, hands-on, needs minimal supervision, and takes accountability for quality, usability, and system reliability.
• A builder’s mindset: “learn it all” over “know it all”, always experimenting, iterating, and improving.
• Ability to design, architect, and rapidly deliver complex systems with minimal direction.
• Comfortable owning key product deliverables while collaborating effectively with cross-functional teams.
• Passionate, unafraid to take responsibility, and deeply committed to the team and mission.
• Loves to learn, build, and win together.
• Strong communication skills across voice, writing, chat, and video, and experience working with remote / global teams.

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.