AI/ML Developer at An US based firm offering permanent WFH · Remote only · 2 - 8 years · ₹8L - ₹18L / yr · Remote only · Posted 16 May 2022
Machine Learning (ML)
Data ScienceThis person MUST have:
- B.E Computer Science or equivalent.
- In-depth knowledge of machine learning algorithms and their applications including practical experience with and theoretical understanding of algorithms for classification, regression and clustering.
- Hands-on experience in computer vision and deep learning projects to solve real world problems involving vision tasks such as object detection, Object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation etc.
- Strong understanding of modern and traditional Computer Vision Algorithms.
- Experience in one of the Deep Learning Frameworks / Networks: PyTorch, TensorFlow, Darknet(YOLO v4 v5), U-Net, Mask R-CNN, EfficientDet,BERT etc.
- Proficiency with CNN architectures such as ResNet, VGG, UNet, MobileNet, pix2pix, and CycleGAN.
- Experienced user of libraries such as OpenCV, scikit-learn, matplotlib and pandas.
- Ability to transform research articles into working solutions to solve real-world problems.
- High proficiency in Python programming knowledge.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Strong communication skills.
Experience:
- Min 2 year experience
- Startup experience is a must.
Location:
- Remote developer
Timings:
- 40 hours a week but with 4 hours a day overlapping with the client timezone. Typically clients are in the California PST Timezone.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
Shubham Vishwakarma
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Naicos, a fast-paced startup, builds AI-native products for algorithmic commerce: the future of how e-commerce runs. Our first products are already live with paying customers, and we are shipping new ones continuously.
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You will drive the research behind our imaging products, finding approaches to hard, unsolved problems in product and apparel imagery that work at production scale. You will run the experiments, prove what is viable, and hand a working approach to the engineering team.
Who We Are Looking For
• Total experience: 3 years or more, with a strong research orientation
• Deep learning frameworks in Python: PyTorch or TensorFlow
• Image processing in Python: OpenCV, Pillow, scikit-image
• Working knowledge of diffusion and other image generation models
We are looking for a strong research or research-student profile: someone who investigates, experiments and proves an approach, working closely with the AI Architect. Someone who is driven to build solutions, not just desk research.
AI Skills and Experience
• Computer vision: classical CV alongside deep learning.
• Segmentation, image-to-image translation, geometry and lighting;
• Generative imaging: diffusion models, conditioning and control, fine-tuning and LoRA,
• Reads academic papers, judges what is reproducible, and turns one into a working prototype in days
Good to have
• 3D and rendering; published research or open-source contributions; model optimisation for inference cost
Research and innovative problem solving
• Comfortable where there is no known answer, and defines the approach yourself
• Solves problems inventively rather than reaching for the biggest model; many results come from classical image processing, fitment and geometric transformation
Other Relevant Skills and Experience
• Designs experiments: baselines, measurable success criteria, honest reporting of negative results
• Explains findings to a non-research audience and guides engineers to production
• Git and reproducible experiment tracking (Weights & Biases, MLflow or similar)
Educational Qualification
• BE / B.Tech / ME / M.Tech in Computer Science
• BE / B.Tech / ME / M.Tech in any discipline with proven Computer Vision coursework or work
• MSc / MS in Computer Science, Maths, Statistics or Computer Vision
• PhD in Computer Vision or Machine Learning: an advantage, not a requirement
• Reputed Tier 1 university preferred
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Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve diverse real world problems. We are rapidly growing, working with multiple companies around the world.
JOB OVERVIEW
We are seeking a talented and results-oriented ML Developer to join our growing team in India. In this role, you will be responsible for developing and implementing new advanced ML algorithms and AI agents for creating AI assistants of the future.
The ideal candidate will work on a complete ML pipeline starting from extraction, transformation and analysis of data to developing novel ML algorithms. The candidate will implement latest research papers and closely work with various stakeholders to ensure data-driven decisions and integrate the solutions into a robust ML pipeline.
RESPONSIBILITIES:
- Create AI agents using Model Context Protocols (MCPs), Claude Code, DsPy etc.
- Develop custom evals for AI agents.
- Build and maintain ML pipelines
- Optimize and evaluate ML models to ensure accuracy and performance.
- Define system requirements and integrate ML algorithms into cloud based workflows.
- Write clean, well-documented, and maintainable code following best practices
REQUIREMENTS:
- 2-3+ years of experience in data science, machine learning, or a similar role.
- Demonstrated expertise with python, PyTorch, and TensorFlow.
- Graduated/Graduating with B.Tech/M.Tech/PhD degrees in Electrical Engg./Electronics Engg./Computer Science/Maths and Computing/Physics
- Has done coursework in Linear Algebra, Probability, Image Processing, Deep Learning and Machine Learning.
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WHO CAN APPLY:
Only those candidates will be considered who,
- have relevant skills and interests
- can commit full time
- Can show prior work and deployed projects
- can start immediately
Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above.
SALARY DETAILS: Commensurate with experience.
JOINING DATE: Immediate
JOB TYPE: Full-time
PythonMachine Learning (ML)About the role
We give you a product design and a brief. You turn it into backend software that analyses images and user input and hands our frontend team the structured data it needs.
Most of the code gets written by AI agents like Claude Code and Codex, with you directing them. That makes you responsible for every line they produce, including the wrong ones. Your value is knowing what to ask for and catching what the agent got wrong. If “the AI did it” sounds like a reasonable defence to you, this job will frustrate you.
What you will do
- Read a design and work out what data each part of it needs.
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- Set up open-source computer vision and AI models, run them on real images, and decide whether they are good enough.
- Check your own output before anyone reviews it. Wrong values, invented APIs and messy code should stop with you.
- Ship small, well-typed pull requests that get through code review.
You won’t have to come up with the product itself. We do that part, and your job is to make it work and keep it maintainable.
You will fit if you
- Write clear, precise English in prompts, pull requests and messages. This is the first thing we screen for.
- Use Claude Code, Codex or Cursor every day, and can show us how you break a task down for an agent.
- Know enough computer vision, machine learning and data engineering to ask for the right thing and to recognise a wrong answer when you see one.
- Are a solid Python engineer who understands typing and async, and who spots bad patterns in a diff quickly.
- Look at the actual output every time. Code that runs proves very little.
Nice to have
- Experience with OpenCV or similar image libraries.
- Experience with FastAPI, workflow engines, or cloud storage.
- Experience getting structured outputs from LLM APIs.
- A side project where you got an open-source model running and evaluated it.
How to apply
Send your CV and answers to these 3 questions, 150 words maximum each:
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- You must estimate the real-world size of an object from a single photo. What steps and checks would you ask an AI agent to build?
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Machine Learning (ML)PythonThis is a remote position.
About Leegality:
Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.
We have multiple products across 2 categories:
Document Infrastructure:
Products that help businesses build paperless processes at scale:
- Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
- Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contract
- Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner
Consent Infrastructure:
- Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
- Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.
If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.
Curious about our impact? Explore our customer success stories: leegality.com/case-studies
Our Culture
At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.
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- Flexible working hours
- Hybrid work setup
- Bi-annual performance appraisals
- A culture that rewards initiative, curiosity, and impact
If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.
Location: Hybrid
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- As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language Processing (NLP), you will develop solutions to interesting technical problems, exploring exciting growth opportunities and having a real impact on our product, particularly focusing on document and content intelligence.
- To ensure success, you should demonstrate solid data science knowledge and experience in a related ML, CV, or NLP role. A first-class engineer will be someone whose expertise enhances our systems for document intelligence and content processing
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- Designing machine learning systems, self-running artificial intelligence (AI) software, and specialized models for Computer Vision and Natural Language Processing applications.
- Transforming data science prototypes and applying appropriate deep learning algorithms and tools to text and image/document data.
- Solving complex CV and NLP problems with multi-layered data types, such as image/document classification, information extraction, semantic search, and object detection.
- Optimizing existing machine learning models, with a focus on high-performance model deployment for CV and NLP tasks.
- Developing ML algorithms (including large language models/LLMs and computer vision models) to analyze huge volumes of historical text, image, and document data to make predictions and automate workflows.
- Running tests, performing statistical analysis, and interpreting test results for CV/NLP model performance.
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- Keeping abreast of developments in machine learning, Computer Vision, and Natural Language Processing.
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- Advanced proficiency with Python.
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- Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI).
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- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
- Experience with cloud platforms (e.g., AWS) for model deployment and MLOps.
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Apply directly through our career page: https://careers.leegality.com/jobs/Careers
For more information about us please visit our:
Our Company and Culture: https://bit.ly/3Iqm5SB
Our Website: www.leegality.com/
Our LinkedIn Page: www.linkedin.com/company/leegality/
Leegality's Privacy Notice: https://www.leegality.com/employee-privacy-notice
PythonMachine Learning (ML)Experience: 0–1 Year / Freshers
Location: Remote
Employment Type: Full-Time
About the Role
We are looking for a Junior Software Engineer – AI/ML with hands-on academic, internship, or personal project experience in Core AI/ML.
Key Areas We’re Looking For
- Core AI/ML
- Trading / Finance
- CCTV / Video Analytics
- Face Recognition
- OMR / OCR
Required Skills
- Python and basic Machine Learning concepts
- Experience with AI/ML projects
- Knowledge of OpenCV, Scikit-learn, PyTorch, or TensorFlow
- Basic understanding of model training, evaluation, and data preprocessing
- Git/GitHub
Candidate Profile
- Freshers or candidates with 0–1 year experience
- Practical AI/ML projects preferred
- Should be able to clearly explain their project, model/algorithm, dataset, and individual contribution
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon