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Senior Software Engineer (Java Full stack , AI, Python, PyTorch , TensorFlow, Hugging Face) Pune, India posted: Posted 17 Days Ago

Data/Infrastructure Advocate Engineer - US Remote

Senior Python Software Engineer/Open-Source Contributor - EMEA Remote

Cloud ML DevRel Engineer - US remote

Data/Infrastructure Advocate Engineer - EMEA Remote

Senior Python Software Engineer/Open-Source Contributor - US Remote

Open-Source Machine Learning Engineer - US Remote

Cloud ML DevRel Engineer - EMEA remote

Open-Source Machine Learning Engineer - EMEA Remote

Applied Research Scientist US - Remote About Us At Sully.ai , We're Building the Most Impactful Healthcare Company on Earth We believe that access to a great doctor is a basic human right. Today, that's not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system. Our Mission One Human, One Doctor . We enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care. Key Responsibilities - Build and scale automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks. Hard Requirements - Proven experience designing agentic processes and LLM evaluation/benchmarking frameworks. - Strong Python and ML background (PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex). - Demonstrated ability to design rigorous experiments and translate findings into production. - Track record of published research or deep applied work in LLMs and agent evaluation. - Strong communication and technical writing skills to articulate complex findings clearly. - First-Month Focus - Audit existing evaluation approaches for clinical and agentic tasks. - Define initial benchmarks and build early automated pipelines. - Partner with engineering to land first set of CI gates for accuracy, factuality, and safety. - 90 Days - Deliver a repeatable evaluation framework with automated pipelines in production. - Demonstrate measurable improvements in robustness, hallucination reduction, or safety. - Publish or present internal research findings that directly shape product reliability. - If you've ever said, “I want to do work

Backend AI Engineer Tel-Aviv, Israel We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies. You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation. What You'll Do • Design and develop scalable, high-performance backend services and APIs. • Implement integrations with AI platforms and services. • Work with AI specialists to translate AI capabilities into production-ready features. • Ensure high reliability, performance, and security of AI-powered systems. • Collaborate with product and engineering teams to gather requirements and deliver solutions. What We're Looking for: • 5+ years of professional backend engineering experience. • Strong proficiency in at least one backend programming language (Java etc). • Experience building and maintaining production-grade APIs and microservices. • Solid understanding of distributed systems, data structures, and algorithms. • Experience with SQL and NoSQL databases. • Track record of delivering consumer-facing products at scale. • Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.) • Familiarity with LLMs, RAG, or conversational AI. • Knowledge of vector databases and embedding technologies. • Experience with cloud platforms (AWS, GCP, Azure). • Understanding of AI/ML concepts and implementation patterns.

Lead Data Scientist Bengaluru, Karnataka, India The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO. Technical Expertise - Strong background in machine learning, deep learning, and NLP, with proven experience in training and fine-tuning large-scale models (LLMs, transformers, diffusion models, etc.). - Hands-on expertise with Parameter-Efficient Fine-Tuning (PEFT) approaches such as LoRA, prefix tuning, adapters, and quantization-aware training. - Proficiency in PyTorch, TensorFlow, Hugging Face ecosystem and good to have distributed training frameworks (e.g., DeepSpeed, PyTorch Lightning, Ray). - Basic understanding of MLOps best practices, including experiment tracking, model versioning, CI/CD for ML pipelines, and deployment in production environments. - Experience working with large datasets, feature engineering, and data pipelines, leveraging tools such as Spark, Databricks, or cloud-native ML services (AWS Sagemaker, GCP Vertex AI or Azure ML). - Knowledge of GPU/TPU optimization, mixed precision training, and scaling ML workloads on cloud or HPC environments. - Applied Problem-Solving Mandatory skill - - Demonstrated success in adapting foundation models to domain-specific applications through fine-tuning or transfer learning.Mandatory skill - - Strong ability to design, evaluate,

Developer Relations Lead San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Developer Relations Lead , you will own the developer community that forms around Zyphra's open-source models and Zyphra's AI agent, Maia from the ground up. You will be the primary face of Zyphra to the global developer community, building and scaling our presence on GitHub, Discord, X, and at the industry events that matter most. This is not a content production role. You are a technically credible practitioner who is also a natural community builder: someone developers trust, follow, and build with. There is an early community already forming around Zyphra's models. Your job is to find it, accelerate it, structure it, and turn it into one of the most active open-source AI communities in the field. You will be a critical member of the GTM team and work in close collaboration with Zyphra's research, engineering, and product teams. You'll Work Across: - Owning the development, expansion, and moderation of Zyphra's developer community end-to-end across all public channels including Discord, GitHub, and Hugging Face while also growing our developer brand across X, LinkedIn, and other technical channels - Representing Zyphra at AI conferences, developer summits, open-source events, academic forums, and community meetups: speaking, demoing, and building relationships that expand our reach and credibility in the developer ecosystem - Driving GitHub adoption metrics across Zyphra's open-source model repositories: stars, forks, issues, pull requests, and active contributor velocity as

GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., "Look up material price in SAP"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and "Evals" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., "HR Policy Assistant", "IT Ticket Classifier") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c

Senior Fullstack Engineer - AVA Tel-Aviv, Israel We are seeking a skilled Fullstack Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies. You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation. What You'll Do: • Design and develop scalable, high-performance backend services and APIs. • Implement integrations with AI platforms and services. • Work with AI specialists to translate AI capabilities into production-ready features. • Ensure high reliability, performance, and security of AI-powered systems. • Collaborate with product and engineering teams to gather requirements and deliver solutions. What We're Looking for: • 5+ years of professional engineering experience. • At least 2 years of experience in FE development using Angular, typescript, and React. • Strong proficiency in at least one backend programming language (Java etc). • Strong sense of ownership demonstrated through shipping production-quality code equipped with testing, monitoring and documentation. • Solid understanding of distributed systems, data structures, and algorithms. • Ability to thrive in a fast-paced environment. • Track record of delivering consumer-facing products at scale. • Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.) • Familiarity with LLMs, RAG, or conversational AI. • Knowledge of

Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science Arlington, Virginia, USA Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world! Passionate about building, owning and operating massively scalable systems? Want to make a billion-dollar impact? If so, we have an exciting opportunity for you. The AWS Managed Operations (MO) organization was founded in April 2023, with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability, reliability, latency, performance and efficiency to operate AWS regions. The AWS Managed Operations Intelligence (MOI) Team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving data-driven transformation across the organization. In this role, you will be responsible for the end-to-end data science lifecycle, from data exploration, ETL, model development and data visualization. You will leverage a diverse set of tools and technologies, including general analytical frameworks (Spark, Airflow, etc.), AI frameworks (Hugging Face, etc.) and various machine learning frameworks, to tackle complex business problems. Your analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts

Enterprise Account Executive (East) United States | Remote Infisical https://infisical.com/ is looking to hire exceptional talent to join our teams in building the open source security infrastructure stack for the AI era. We're building a generational company with a world-class team. This isn't a place to coast - but if you want to grow fast, take ownership, and solve tough problems, you'll be challenged like nowhere else. Infisical https://infisical.com helps developers and organizations securely manage over 1.5 Billion secrets each month including application configuration, database credentials, certificates, and more. Our customers range from some of the fastest-growing startups to largest public enterprises (e.g., Hugging Face, LG, Lucid). We have a clear buyer persona and a large target market. We are well funded and backed by great investors, including Y Combinator, Elad Gil and Google. As an Enterprise Account Executive, you'll be responsible for growing the customer base and closing net-new logos for Infisical's secrets management platform. We are building the #1 open-source security infrastructure stack, and you will play a defining role in growing it! About this Role You will be working closely with our CEO and the rest of the team on: - Understanding and demonstrating our products to prospects. - Developing, managing, and closing business within accounts in our enterprise accounts segment. - Driving the sales cycle from prospect to close and ensuring adoption and consumption of our products. - Collaborating with the engineering team to define customer requirements and communicate timelines. - Identifying current customers with upsell

AI Engineer San Francisco | OnSite Please Note: This role is in-office in San Francisco at our headquarters, working with the entire company five days per week. We are not open to remote candidates. ABOUT US Campfire is on a mission to redefine the accounting software landscape by taking on giants like Netsuite to build modern accounting software for startups and mid-size tech companies. We graduated from Y Combinator's Summer 2023 cohort, and we are backed by prominent investors like Foundation Capital and a rapidly growing customer base. 🌟 THE ROLE Join our team as an AI Engineer at Campfire, where you'll design and implement AI-driven solutions that supercharge our accounting platform. From automating financial workflows to building intelligent features that provide real-time insights, you'll be at the forefront of making accounting smarter, faster, and more intuitive for our customers. 💼 WE NEED SOMEONE WHO Has Expertise: - Strong background in machine learning, deep learning, and natural language processing (NLP). - Proven experience with frameworks like PyTorch or TensorFlow, and proficiency in Python. - Hands-on experience deploying ML models into production environments. - Familiarity with LLMs (e.g., OpenAI, Hugging Face) and fine-tuning for real-world use cases. Thrives in Agility: - Our team is lean and moves quickly. You're comfortable experimenting, iterating, and shipping fast. Values Autonomy: - You take ownership end-to-end - from prototyping models to deploying and monitoring them in production. 👥 IDEAL CANDIDATE - You're not just looking for a job; you're seeking a challenge. - You're passionate

Data Scientist (AI Data & LLM Specialist) Remote Join the core team at Eclipse, where we're building an AI agent-first marketplace that connects intelligence with real-world tasks, starting with data collection and labeling. We are seeking a Data Scientist to establish the foundation for how our data is labeled, processed, and prepared for consumption by next-generation Large Language Models (LLMs). Your work will be critical in transforming our raw data collections into valuable, AI-ready datasets. Qualifications Proven experience as a Data Scientist or Machine Learning Engineer with a focus on data quality and preparation. Strong understanding of data labeling methodologies and hands-on experience with data annotation platforms and workflows. Demonstrated experience preparing datasets for training and fine-tuning Large Language Models (LLMs), including knowledge of techniques like tokenization, embeddings, and NER. Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, spaCy, Hugging Face). Experience using APIs/SDKs to automate data annotation and active learning loops. Excellent communication skills, with an ability to create clear documentation for technical and non-technical audiences. Responsibilities Develop Data Labeling Strategies: Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling our data. Define and enforce quality metrics, including inter-annotator agreement. Optimize for LLM Consumption: Research, define, and prototype the optimal data formats, structures, and pre-processing steps required for fine-tuning and training LLMs on our datasets. Data Quality Analysis: Establish automated processes and metrics to analyze the quality of both raw and labeled data, providing feedback to improve our

ML Research Scientist I/II, Multimodal Data Extraction Cambridge, MA USA Your Impact at LILA As a ML Research Scientist - Multimodal Data Extraction , you will advance Lila's vision of scientific superintelligence by developing foundation models that autonomously read, interpret, and structure scientific knowledge across text, images, and experimental data in the physical sciences. Your research will help unify the world's scientific information into machine-understandable form, powering reasoning, prediction, and autonomous discovery across materials science and chemistry. What You'll Be Building - Research and develop AI systems that extract and structure knowledge from diverse scientific sources. - Design and fine-tune large language, multi-modal and specialized models for factual, interpretable data extraction. - Build scalable pipelines for unstructured and heterogeneous scientific data , integrating text, tables, and visuals. - Collaborate with domain experts to align extracted data with real-world discovery workflows. - Publish research that advances the state of the art in multimodal understanding and AI-driven knowledge extraction. What You'll Need to Succeed - PhD (or equivalent research experience) in Computer Science, Chemistry, Materials Science, or related field. - Expertise in machine learning , NLP , and vision-language modeling using PyTorch and Hugging Face Transformers . - Proven ability to train, fine-tune, and evaluate LLMs and multimodal models for scientific data extraction. - Strong understanding of data structures and representations used in the physical sciences. - Demonstrated research impact through publications, preprints, or open-source work (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, Scientific Journals). Bonus Points For - Experience with multimodal fusion

Technology Analyst Infosys is seeking a hands-on Gen AI / Agentic AI Engineer t o design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for an engineer with strong technical depth, a passion for building AI-powered applications, and experience delivering production-grade GenAI solutions in a fast-paced, innovation-driven environment . Required Qualifications - Candidate must be located within commuting distance of Mississauga, ON (Canada) or be willing to relocate to the area. - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time - Bachelor's degree in computer science, AI/ML, or related field. - 3-5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems. - Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). - Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). \\ - Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). - Experience with REST API development (FastAPI, Flask) and containerization (Docker). - Solid understanding of AI governance, model safety, and prompt engineering. Key Responsibilities - Design, develop, and deploy Gen AI applications using LLMs

Outcome Engineer - Early in Career Professional United States | Remote | Remote ABOUT ONEBRIEF Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. By transforming this work, Onebrief makes the staff as a whole superhuman - meaning faster, smarter, and more efficient. We take ownership, seek excellence, and play to win with the seriousness and camaraderie of an Olympic team. Onebrief operates as an all-remote company, though many of our employees work alongside our customers at military commands around the world. Founded in 2019 by a group of experienced planners, today, Onebrief's team spans veterans from all forces and global organizations, and technologists from leading-edge software companies. We've raised $320m+ from top-tier investors, including Battery Ventures, General Catalyst, Sapphire Ventures, Insight Partners, and Human Capital, and today, Onebrief is valued at $2.15B. With this continued growth, Onebrief is able to make an impact where it matters most. We are also defining the future of software development. We believe the era of "human bandwidth" as the primary constraint on software delivery is ending. We are building a dedicated team to transition our organization from Software Engineering to Outcome Engineering. ABOUT THE ROLE You're an AI-native engineer who is living the future of software development now. You start your day checking Hugging Face, and have 3 side hustles running based on agentic apps you've shipped. You're ready to bring your curiosity and willingness to quickly embrace new technologies to a team that is collectively creating Onebrief's AI Engineering

Software Engineer I - AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to tackle unprecedented technical challenges and deliver solutions that help customers change the world. AWS Neuron is the complete software stack powering AWS Trainium (Trn2/Trn3), our cloud scale Machine Learning accelerators and we are seeking a Senior Software Engineer to join our ML Distributed Training team. In this role, you will be responsible for the development, enablement, and performance optimization of large scale ML model training across diverse model families. This includes massive scale pre-training and post-training of LLMs with Dense and Mixture-of-Experts architectures, Multimodal models that are transformer and diffusion based, and Reinforcement Learning workloads. You will work at the intersection of ML research and high performance systems, collaborating closely with chip architects, compiler engineers, runtime engineers and AWS solution architects to deliver cost-effective, performant machine learning solutions on AWS Trainium based systems. Key job responsibilities You will contribute to the design and implementation of distributed training solutions for large-scale ML models running on Trainium instances. A significant part of your work will involve extending and optimizing popular distributed training frameworks including FSDP, torchtitan, and Hugging Face libraries for the Neuron ecosystem. A core focus of this role involves developing and optimizing mixed-precision and low-precision training techniques. You will work with BF16, FP8, and emerging numerical formats to improve training throughput while maintaining model accuracy and convergence quality. This