Client Management

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.

Exp:-4-10years

Location: - Bangalore

Work Model: -Hybrid

Job Description

• Experience in Core Java 5.0 and above, CXF, Spring.
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database.
• Good knowledge of multi-threading and high-volume server-side development.
• Experience in sales and trading platforms in investment banking/capital markets.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills in Java.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Work Mode: Hybrid (2 days WFO)

We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

Responsibilities

· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements

· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data

· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development

· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc

· Unify, enrich, and analyze variety of data to derive insights and opportunities

· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate

· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform

· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org

· Mentor other members in the team and organization and contribute to organizations’ growth.

Soft Skills

· Independent and able to manage, prioritize & lead workloads

· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

· Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Technical Skills

· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.

· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.

· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity

· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application

· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools                                                 

Responsibilities:

• Take on complex problems that span multiple components and teams.

• Independently own one or more multiple modules, which include: requirement analysis, design, development, maintenance & support

• Write extensive, efficient code to address complex modules that handle the interaction between multiple components.

• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions

• Produce architecture with clean interfaces, that are efficient and scalable

• Participate and contribute to architectural discussions

• Solve production issues. Investigate and provide solutions to minimize the business impact due to the outage

• Continuously improve performance metrics of modules you own.

• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements:

• Experience: 2+ years

• A Bachelor's or Master's Degree in Computer Science

• Software engineering and product delivery experience, with a strong background in algorithms

• Experience in architecting & building real-time, large-scale e-commerce applications

• Experience with high-performance websites catering to millions of daily traffic is a plus

• Excellent command over Data Structures and Algorithms

• Experience with web technologies, Go/Java/Python

• Language: GO or Python

• Strong expertise in DS and Algo

• Strong leadership skills - have experience mentoring, building products from scratch or incumbent in design and architecture.

• Have worked in the scaling of the system right from scratch.

• Someone worked in small user base to a large user base and wrote optimized code

• Both HLD and LLD

Job Description:-

Design, develop IoT/Cloud-based Typescript/ JavaScript/ Node.JS applications using

Amazon Cloud Computing Services.

Work closely with onsite, offshore, and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of IoT applications

Bug and issue resolution

Proactively Identify risks and failure modes early in the development lifecycle and develop.

POCs to mitigate the risks early in the program.

Assertive communication and team skills

Primary Skills:

Hands on experience (3+ years) in AWS cloud native environment with work experience in

AWS Lambda, Kinesis, DynamoDB

3+ years’ experience in working with NodeJS, Python, Unit Testing and Git

3+ years in work experience with document, relational or timeseries databases

2+ years in work experience with typescript.

1+ years in IaaS framework like Serverless or CDK with CloudFormation knowledge