Industrial training

Location: Baner, Pune.

Experience Level: 8+ Yrs.

Experience Level: UK Shift (1:00 PM – 10:00 PM)

Key Skills & Responsibilities:

• Lead the design, configuration, and implementation of SAP modules (e.g., MM, SD)

based on business requirements.

• Collaborate with business stakeholders to gather, analyze, and document functional

requirements.

• Strong functional expertise in SAP MM, and SD modules with focus on invoice

processing, tax configuration, and statutory reporting.

• Translate business needs into SAP solutions through process mapping and best practice

recommendations.

• Oversee the development of functional specifications for RICEFW objects (Reports,

Interfaces, Conversions, Enhancements, Forms, Workflows).

• Work with business stakeholders to understand statutory and good to have E-invoicing

knowledge

• Map business requirements to SAP functionalities, primarily within MM, and SD

modules.

• Coordinate with ABAP and middleware teams for API integration between SAP and

the government’s e-invoice/GST portal or third-party providers.

• In-depth knowledge of IDoc processing, troubleshooting, and interface management.

• Good understanding of API-based integrations between SAP and government/third-

party systems

• Excellent in preparing documentation (FS, TS, UAT scripts), and support go-live

activities.

• Manage change requests, issue resolution, and enhancements post-implementation.

• Provide functional guidance to junior consultants and coordinate across cross-functional

SAP teams.

• Prepare and present project status reports to management and stakeholders.

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.

Title

Senior Full Stack Developer – Build the Future of Recruitment AI

About the Company

TurboHire is redefining enterprise hiring through cutting-edge AI and intelligent automation. Our platform enables large organizations to hire smarter, faster, and at scale. As a rapidly growing HR Tech company, we offer an environment driven by innovation, ownership, and high-impact problem solving.

Job Overview

At TurboHire, we’re looking for a Senior Full Stack Developer who wants to build products that truly scale. This isn’t just another development role — it’s an opportunity to architect and deliver enterprise-grade AI products that solve complex, real-world challenges.

You will work across the stack with strong ownership and technical influence, solving large-scale engineering problems while collaborating with a sharp, driven, and fast-moving team. If you are passionate about clean architecture, performance, scalability, and building products that matter, this role offers the platform to do exactly that — while growing with a company that is scaling rapidly.

Key Responsibilities

• Architect and build high-impact, enterprise-grade AI-driven products
• 
  
• Collaborate with designers and engineers to develop scalable web applications
• 
  
• Write clean, efficient, and production-ready code
• 
  
• Take end-to-end ownership of features from design to deployment and maintenance
• 
  
• Ensure adherence to software engineering best practices for performance and scalability
• 
  
• Leverage modern tools, frameworks, and third-party services to accelerate delivery
• 
  

Eligibility Criteria

• Bachelor’s degree in Engineering, MCA, or equivalent
• 
  
• Strong foundation in Object-Oriented Programming
• 
  
• Experience working in Agile development environments
• 
  
• Familiarity with version control systems, build tools, and web frameworks
• 
  
• Proficiency in Git
• 
  
• Knowledge of C# or Java is an added advantage
• 
  
• 4–8 years of relevant work experience
• Tech Stack: Backend = Asp.net or Java or C++
• Frontend = React or Angular or Knockout etc
• RESTful APIs
• Database - SQL Server
• 
  

Come build what’s next.

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.

You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge. 

We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.