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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
- Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
- 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.
- Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
- Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
- Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
- Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
- Deep understanding of various training techniques including distributed training on GPUs and TPUs.
- Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
- Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.
You’re a Fit If You Have
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 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.
- Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
- Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
- Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization
- Proven experience in deploying and managing ML models in production environments.
- Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
- Strong communication skills for articulating complex concepts to diverse audiences.
- Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
- Working knowledge of basic software engineering principles and best practices
- Demonstrated working knowledge and experience on classic ML techniques and frameworks.
- Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker
Bonus Points:
- Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
- You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
- You are passionate, unafraid & loyal to the team & mission
- You love to learn & win together
- You communicate well through voice, writing, chat or video, and work well with a remote/global team
- Large/Complex organization experience in deploying NLP/ML in production
- Experience in efficiently scaling ML model training and inferencing
- 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: CorpCare
Title: Head of Engineering/ Head of Product
Location: Mumbai (work from office)
CTC: Annual CTC Up to 25 Lacs
About Us:
CorpCare is India’s first all-in-one corporate funds and assets management platform. We offer a single-window solution for corporates, family offices, and HNIs. We assist corporates in formulating and managing treasury management policies and conducting reviews with investment committees and the board.
Job Summary:
The Head of Engineering will be responsible for overseeing the development, implementation, and management of our corporate funds and assets management platform. This role demands a deep understanding of the broking industry/Financial services industry, software engineering, and product management. The ideal candidate will have a robust background in engineering leadership, a proven track record of delivering scalable technology solutions, and strong product knowledge.
Key Responsibilities:
- Develop and communicate a clear engineering vision and strategy aligned with our broking and funds management platform.
- Conduct market research and technical analysis to identify trends, opportunities, and customer needs within the broking industry.
- Define and prioritize the engineering roadmap, ensuring alignment with business goals and customer requirements.
- Lead cross-functional engineering teams (software development, QA, DevOps, etc.) to deliver high-quality products on time and within budget.
- Oversee the entire software development lifecycle, from planning and architecture to development and deployment, ensuring robust and scalable solutions.
- Write detailed technical specifications and guide the engineering teams to ensure clarity and successful execution.
- Leverage your understanding of the broking industry to guide product development and engineering efforts.
- Collaborate with product managers to incorporate industry-specific requirements and ensure the platform meets the needs of brokers, traders, and financial institutions.
- Stay updated with regulatory changes, market trends, and technological advancements within the broking sector.
- Mentor and lead a high-performing engineering team, fostering a culture of innovation, collaboration, and continuous improvement.
- Recruit, train, and retain top engineering talent to build a world-class development team.
- Conduct regular performance reviews and provide constructive feedback to team members.
- Define and track key performance indicators (KPIs) for engineering projects to ensure successful delivery and performance.
- Analyze system performance, user data, and platform metrics to identify areas for improvement and optimization.
- Prepare and present engineering performance reports to senior management and stakeholders.
- Work closely with product managers, sales, marketing, and customer support teams to align engineering efforts with overall business objectives.
- Provide technical guidance and support to sales teams to help them understand the platform's capabilities and competitive advantages.
- Engage with customers, partners, and stakeholders to gather feedback, understand their needs, and validate engineering solutions.
Requirements:
- BE /B. Tech - Computer Science
- MBA a plus, not required
- 5+ years of experience in software engineering, with at least 2+ years in a leadership role.
- Strong understanding of the broking industry and financial services industry.
- Proven track record of successfully managing and delivering complex software products.
- Excellent communication, presentation, and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Experience with Agile/Scrum methodologies.
- Deep understanding of software architecture, cloud computing, and modern development practices.
Technical Expertise:
- Front-End: React, Next.js, JavaScript, HTML5, CSS3
- Back-End: Node.js, Express.js, RESTful APIs
- Database: MySQL, PostgreSQL, MongoDB
- DevOps: Docker, Kubernetes, AWS (EC2, S3, RDS), CI/CD pipelines
- Version Control: Git, GitHub/GitLab
- Other: TypeScript, Webpack, Babel, ESLint, Redux
Preferred Qualifications:
- Experience in the broking or financial services industry.
- Familiarity with data analytics tools and methodologies.
- Knowledge of user experience (UX) design principles.
- Experience with trading platforms or financial technology products.
This role is ideal for someone who combines strong technical expertise with a deep understanding of the broking industry and a passion for delivering high-impact software solutions.
About Company
Our client is a well-funded construction Tech Start-up by a renowned group.
Responsibilities
- Gather intelligence from key business leaders about needs and future growth
- Partner with the internal IT team to ensure each project meets a specific need and resolves successfully
- Assume responsibility for project tasks and ensure they are completed in a timely fashion
- Evaluate, test and recommend new opportunities for enhancing our software, hardware and IT processes
- Compile and distribute reports on application development and deployment
- Design and execute A/B testing procedures to extract data from test runs
- Evaluate and conclude data related to customer behavior
- Consult with the executive team and the IT department on the newest technology and its implications in the industry
Requirements :
- Bachelor's Degree in Software Development, Computer Engineering, Project Management or a related field
- 3+ years experience in technology development and deployment
Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".
Only applications received via email will be reviewed. Applications through other channels will not be considered.
Job Description
The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange
We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.
The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.
Responsibilities:
Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.
Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.
Improve and fix bugs in installation and automation routines.
Monitor CPU usage, security findings, and AWS alerts.
Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.
Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).
Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.
Integrate data from AWS CloudWatch.
Document all relevant information and train involved personnel in the used technologies.
Requirements:
Experience with Elastic Stack (ELK) components and related technologies.
Proficiency in automation tools like Ansible and CloudFormation.
Strong knowledge of AWS Cloud services.
Experience in creating and managing dashboards and alerts.
Familiarity with IAM roles and rights management.
Ability to document processes and train team members.
Excellent problem-solving skills and attention to detail.
Skills & Requirements
Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.
Job Description:
We are looking for a good JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Responsibilities
- Developing new user-facing features using React.js
- Building reusable components and front-end libraries for future use
- Translating designs and wireframes into high-quality code
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers
Skills:
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Experience with popular React.js workflows (Redux)
- Familiarity with newer specifications of ECMAScript
- Experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
Quality Engineer – Manual/Automation
Part of consumer facing front end applications that will be used by millions of users.
What you will do:
- Design and implementation of internal automation tools for QA.
- Create and implement test plans, test cases, integration tests for both functional and performance use cases.
- Respond to support team tickets as needed to resolve bugs and issues
- Reviewing error logs and metrics.
Experience Range:
2-3 years with technical hands-on coding and analytical skills.
Technical Expertise:
- 2-3 years experience in manual or automated testing.
- Experience with testing consumer facing mobile applications.
- Willingness to learn and build automation frameworks for testing.
- Confirm, verify bugs and determine steps to reproduce.
- Comfortable in a fast-paced startup environment.
- Bias for action shipping quality code quickly.
Novolytics is a novel Analytics Company which is trying to solve the problems of manufactures and machine asset owners. Predictive maintenance is going to be a huge part of Factory 2.0, which will allow manufacturers to keep machine downtime to minimum, boosting productivity and reducing losses due to down time.
Novolytics is building a platform which would collect signal data, analyze and predict which machines need maintenance or are showing signs of wear. Currently our platform is being piloted for one of India's largest car manufacturers, to solve for vehicle maintenance and servicing based on car sounds.
Responsibilities:
- Design and architect the various parts of the product or its features
- Be the product and tech owner providing support, mentorship and guidance to other developers
- Maintain and operate the application in production environment
- Contribute to the broader team management activities including Product planning, Improvement Activities,etc.
- Involve in hiring other developers and mentoring team members.
- Participate in the evolution of organization-wide best practices, standards, and policies related to software development and propagate the same to other technical staff.
- Participate in code reviews and architecture and design discussions.
- Ensure delivery of all product deliverables within the timelines.
Qualifications:
- BE/BTech in Computer Science with at least 5 years of experience as a Full Stack Engineer
- Experience in design, maintaining, and testing large online systems.
- Familiar with at least one of high level server side languages out of NodeJS or Python, with a preference of NodeJS(with Express.js)
- Experience of building frontend web-apps using ReactJS.
- Should have knowledge about, and know how/when to use different Design Patterns
- Should have experience with cloud infrastructure providers, preferably, AWS.
- Experience of mobile app development on Flutter is a plus
- Have experience of working with relational as well as non relational databases like MySQL, MongoDB along with other data stores like Redis and Elasticsearch.
- Have knowledge of building and maintaining CI/CD pipelines and workflows.
- Know web application security best practices and knowledge of common application security vulnerabilities
- Understanding of queue management systems/frameworks like RabbitMQ, Celery
Job Description:-
- Php Developer Skills Required.
- Good working knowledge on Core PHP.
- Strong knowledge of MVC Framework and knowledge of Laravel.
- Good working knowledge of JavaScript & JS frameworks, preferably jQuery.
- Strong knowledge of MySQL databases & OOPS concepts.
- Strong knowledge of ORM and query builder.
- Knowledge of queue scheduling and task scheduling.
- Strong knowledge of Artisan commands.
- Hands on experience of service providers and create new service providers in the application when needed.
- Integration of user-facing elements developed by front-end developers.
- Build efficient, testable, and reusable modules.
- Solve complex performance problems and architectural challenges.
- Write well designed, testable, efficient code by using best software development practices.
- Integrate data from various back-end services and databases.
- Create and maintain software documentation.
- Knowledge of Rest APIs.
- Knowledge of the payment gateway integration (PayPal, PayUMoney, CC Avenue etc.)
- Good knowledge of wallet integration (Paytm, Phone-Pe, Amazon) etc.
- Proficient understanding of code versioning tools, such as Git is mandatory.
- Ability to debug the code and resolve the issues.
Key Responsibilities:-
- Build reusable code and libraries for future use.
- Participate in the full lifecycle of the projects.
- Optimize application for maximum speed and scalability.
- Ability to work independently and within a team environment.
- Assist in troubleshooting any production issues.
- Working within an existing code base and also writing code from scratch.
- Good team player -collaborate with other team members and stakeholders.
- Commitment to meet corporate goals and tight deadlines.
Key Skills:- HTML, CSS, Bootstrap, jQuery, JavaScript, PHP, Core PHP, knowledge of MVC framework, database, MySQL, Laravel Framework, Rest APIs, 3rd party tool integration, OOPs programing concept.
Experience:- 3+ Years’ experience.
Education Qualification:- B.E./B.Tech. /MCA or equivalent in computer science or a related field.
Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.
Responsibilities and Duties :
- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &
unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.
- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
Education level :
- Bachelor's degree in Computer Science or equivalent
Experience :
- Minimum 3+ years relevant experience working on production grade projects experience in hands on, end to end software development
- Expertise in application, data and infrastructure architecture disciplines
- Expert designing data integrations using ETL and other data integration patterns
- Advanced knowledge of architecture, design and business processes
Proficiency in :
- Modern programming languages like Java, Python, Scala
- Big Data technologies Hadoop, Spark, HIVE, Kafka
- Writing decently optimized SQL queries
- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)
- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional
modeling, and Meta data modeling practices.
- Experience generating physical data models and the associated DDL from logical data models.
- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,
and data rationalization artifacts.
- Experience enforcing data modeling standards and procedures.
- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.
- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Skills :
Must Know :
- Core big-data concepts
- Spark - PySpark/Scala
- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)
- Handling of various file formats
- Cloud platform - AWS/Azure/GCP
- Orchestration tool - Airflow
1.Make proposals for clients
2. Negotiate with clients
3. Coordinate with team on projects
4. Generate new business opportunities
5. Networking, Marketing, and Calling
6. Introduce and Market the company







