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🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.

Role & Responsibilities

• You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly
• You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs
• Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production
• Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs
• Developing software in Rust
• Maintaining and improving existing rust codebases.

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

Project Overview

Be part of developing "Fenrir Security" - a groundbreaking autonomous security testing platform. We're creating an AI-powered security testing solution that integrates with an Electron desktop application. This contract role offers the opportunity to build cutting-edge autonomous agent technology for security testing applications.

Contract Details

• Duration: Initial 4-month contract with possibility of extension
• Work Arrangement: Remote with regular online collaboration
• Compensation: Competitive rates based on experience (₹1,00,000-₹1,80,000 monthly)
• Hours: Flexible, approximately 40 hours weekly

Role & Responsibilities

• Develop the core autonomous agent architecture for security testing
• Design and implement the agent's planning and execution capabilities
• Create natural language interfaces for security test configuration
• Build knowledge representation systems for security testing methodologies
• Implement security vulnerability detection and analysis components
• Integrate autonomous capabilities with the Electron application
• Create learning mechanisms to improve testing efficacy over time
• Collaborate with security expert to encode testing approaches
• Deliver functional autonomous testing components at regular milestones
• Participate in technical planning and architecture decisions

Skills & Experience

• 3+ years of AI/ML development experience
• Strong background in autonomous agent systems or similar AI architectures
• Experience with LLM integration and prompt engineering
• Proficiency in Python and relevant AI/ML frameworks
• Knowledge of natural language processing techniques
• Understanding of machine learning approaches for security applications (preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving abilities and communication skills

Why Join Us

• Work at the cutting edge of AI and cybersecurity technology
• Flexible working arrangements and competitive compensation
• Opportunity to solve novel technical challenges
• Potential for equity or profit-sharing in future funding rounds
• Build portfolio-worthy work in an innovative field

Selection Process

1. Initial screening call
2. Technical assessment (paid task)
3. Final interview with founder
4. Contract discussion and onboarding

Join our dynamic team as a Software Quality Assurance Engineer (SWQA) and contribute to ensuring top-quality software development in the automotive industry. If you’re passionate about software quality, process improvements, and driving excellence in software projects, this role is for you!

Key Responsibilities:

• Plan and execute SQA activities in line with project timelines and performance metrics
• Collaborate with stakeholders including software project managers, developers, testers, and process leads
• Conduct thorough reviews of software work products developed in-house and by external suppliers
• Support ECU owners in supplier joint reviews, ensuring quality deliverables
• Monitor, measure, and analyze software quality metrics and track deliverables
• Identify software gaps, defects, and potential risks, prioritizing based on impact
• Drive corrective actions to closure, manage deviations, and ensure quality standards
• Generate detailed quality reports to provide insights on software progress

Secondary Responsibilities:

• Assist in rolling out the Polestar Embedded Software Development Process
• Perform process reviews and internal audits
• Promote continuous improvement within the embedded software development lifecycle

Qualifications:

• Proven experience in software development projects within the automotive industry
• Strong knowledge of quality standards and process models such as:
• Automotive SPICE
• ISO 26262
• ISO 21434
• IATF 16949
• Excellent communication and collaboration skills, with the ability to engage cross-functional teams

If you’re ready to play a critical role in shaping the quality of cutting-edge automotive software, we want to hear from you!

🌟 Apply now and become part of our innovative journey in the automotive sector.

• Implementing functional HRMS and internal databases across all departments and locations
• Ensuring the integrity of internal database files, tables, and reports
• Analyzing and evaluating the HR data and reports
• Managing maintenance and accuracy of employee data for analysis, regulatory compliance, reporting and distribution
• Managing the relationship between the HRIS Partners and the company
• Developing and sustaining appropriate controls to maintain and report on information
• Managing other HR Ops, as per organizational need

Desired Candidate Profile

• 1+years of experience in the HR domain and relevant experience in Automation
• Extensive experience in Employee lifecycle management
• Thorough knowledge of MS Excel, Word, and PowerPoint
• Hands-on experience with HRMS Tools    

Your Role

We at Innovaccer are looking for  Software Development Engineer-II (Backend) to build the most amazing product experience. You’ll get to work with other engineers to build delightful feature experience to understand and solve our customer’s pain points.

A Day in the Life

• Building efficient and reusable applications and abstractions.
• Identify and communicate back-end best practices.
• Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery
• Analyse and improve the performance, scalability, stability, and security of the product
• Improve engineering standards, tooling, and processes

What You Need

• 3+ years of experience with a start-up mentality and high willingness to learn
• Solid knowledge of Python and experience with any web framework (Django, etc)
• Aggressive problem diagnosis and creative problem-solving skill
• Experience in Web Services and REST.
• Experience in RDBMS & NoSQL database.
• Experience in Solution Architecture.
• Proven experience with Git.
• Knowledge of high-level JavaScript concepts like asynchronous programming, closures, promises, data-binding, async-await, etc.
• Bachelor's degree in Computer Science/Software Engineering.

Preferred Skills

• Expert in Python and Django Code Reviews
• Server Deployment
• Mongo DB/Postgres SQL DB
• JIRA Administration

What We Offer

• Industry-focused Certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, you will dive straight in and be certified by the best in the world.
• Quarterly Rewards and Recognition Programs: We foster learning and encourage people to take moonshots. When you achieve your goals, we recognize and reward your hard work. 
• Health Benefits: We cover health insurance for you and your loved ones. 
• Sabbatical Policy: We encourage people to take time off and rejuvenate, upskill and pursue their interests so that they can generate new ideas for innovating at Innovaccer.
• Pet-friendly office and open floor plan. No mundane cubicles.