If you are interested fill this form: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzI2MTksInVzZXJJZCI6MTE3OCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQyNDY5Mzc1fQ.6ogsELOq75WrckZ_V-9D5aIFe7jo4zbvCJYB7oK_XKI Role Overview: A well-funded AI research and development company is seeking candidates with strong medical knowledge and diagnostic abilities in various fields of medicine. The ideal candidate should have a deep understanding of medical concepts, particularly at the level required for medical school or professional practice. The role involves working with multi-modal data (text, medical imaging, simulations, etc.), so familiarity with various formats is crucial. You should be capable of analyzing complex medical cases, providing clear explanations, and working efficiently under time constraints.What does day-to-day look like: You would spend time solving a variety of advanced medical problems, including those at the medical school or professional level, and creating detailed explanations. Youll also be working with multi-modal data, integrating text with medical images, simulations, and visual aids. Here are a couple of examples of the types of tasks you might encounter:Diagnostic Analysis: Review a complex patient case, analyze symptoms, and propose a diagnosis, supported by explanations and relevant medical imaging (e.g., X-rays, MRIs).Medical Pathophysiology: Explain the underlying mechanisms of a disease, utilizing diagrams, charts, and simulations to illustrate key concepts.Clinical Decision-Making: Solve clinical scenarios involving patient management, including the interpretation of lab results and imaging, and explain the rationale behind the chosen course of action.Requirements:Medical Proficiency: Strong knowledge of medical concepts, including anatomy, physiology, pathology, pharmacology, and clinical medicine at the medical school/professional level.Problem-Solving Skills: Ability to approach complex medical problems systematically and creatively.Explanation Skills: Capacity to break down medical concepts into clear, understandable steps, supported by relevant visual aids and simulations.Communication: Excellent written and verbal communication skills for explaining medical concepts and case analyses.Commitment: We have different models of engagements, based on your availabilityTechnical Setup: Desktop/Laptop with reliable internet connection and necessary software for medical imaging analysis, simulations, and online collaboration.Preferred Qualifications:PhD in medicine filed or Medical degree (MD, DO, MBBS) or a related advanced degree. We are open to candidates who have demonstrated exceptional medical knowledge and skills without a formal degree.Experience in clinical practice or teaching in a medical field.Knowledge of medical-related software and tools is a plus (e.g., DICOM viewers, medical simulation software, electronic health records).What we provide:Collaborative work environment with other AI/LLM enthusiasts and medical professionals.Flexible working hours and remote work environment.Opportunity to work on cutting-edge AI projects with leading LLM companies.Potential for contract extension based on performance and project needs.Application Process:Shortlisted candidates will be sent an online questionnaireCandidates who are having best-fit answers will be selected for the non technical evaluation (interview)The process typically takes less than a week from start to finish.

Role Overview:We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles!Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!What does day-to-day look like:You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?)In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?Note: No other prior specialized domain experience is needed.Requirements:Multilingual capabilities are mandatory. (English and Japanese)Analytical Skills: Good research and analytical skillsFeedback Skills: Ability to provide constructive feedback and detailed annotations.Creative Thinking: Creative and lateral thinking abilities.Communication: Excellent communication and collaboration skills.Independence: Self-motivated and able to work independently in a remote setting.Commitment: Ability to commit to 40 hours per week for the contract duration overlapping US hours.Technical Setup: Desktop/Laptop set up with a good internet connection.Preferred Qualifications:Bachelors degree or undergraduate in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field. We are open to candidates who do not have a Bachelor's degree but have experience in the area.Experience writing professionally (business analysts, research analyst, copywriter, journalist, technical writer, editor, translator, etc.)Understanding of Excel and Google Suite.Proficiency in Data interpretation, Logical reasoning and Basic arithmetic is highly desirable.Benefits:Competitive compensation based on experience and expertise.Flexible working hours and remote work environment.Opportunity to work on cutting-edge AI projects with leading LLM companies.Potential for contract extension based on performance and project needs.Offer Details:Contractor position (no medical/paid leave); the maximum duration of the contract will be 12 monthsAvailability of up to 40 hours/week is preferredThis role will require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_AngelesApplication Process:Shortlisted candidates will be sent an automated analytical challenge.Once you clear the challenge, you will be redirected to a business writing assessment (English) followed by a language proficiency assessment. Once you clear these online assessments, you are ready to go!Application Link: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzEyNjUsInVzZXJJZCI6NTU2LCJ1c2VyUm9sZSI6IlRBX1NPVVJDRUQiLCJpYXQiOjE3NDE2MzM0NjB9.ZvbuPC9n-FcXpC8ecjjAmp5kSuoAHNrNsNE-1vxBf4U

We are looking for an experienced Rust Developer to contribute to a cutting-edge project focused on evaluating AI-assisted Rust development. This role involves working on real-world Rust codebases, implementing features, debugging, refactoring, and writing comprehensive tests to ensure memory safety and correctness.Responsibilities:Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep.Implement new features with a focus on memory safety, ownership rules, and type correctness.Write and execute tests using cargo test, including property-based testing (proptest or quickcheck).Refactor existing Rust code while maintaining functionality and performance.Debug and fix memory safety, ownership, and concurrency-related issues.Set up and manage Rust development environments using cargo, including handling dependencies and feature flags.Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage.Requirements:Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes.Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon.Experience with Rusts testing ecosystem, including unit, integration, and property-based testing.Knowledge of multi-threading and asynchronous programming in Rust.Ability to work with complex architectural patterns and refactor code without introducing regressions.Strong debugging skills, including fixing memory and concurrency issues.Experience with performance profiling and benchmarking in Rust (cargo bench).4+ years of work experienceThis role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If youre passionate about Rust and eager to push the boundaries of AI-driven software development, wed love to hear from you!Nice to Have:Experience contributing to open-source Rust projects.Familiarity with writing Rust documentation and designing APIs with doc-tests.Application Link : https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MjI2MzQsInVzZXJJZCI6MTE3NCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQxNjMxMzEyfQ.QET0bMcgUFfRkRWigVlcmZ6v1OjCsyQ1mBSY-hGAykI

Please use the below link to apply https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzIyNTcsInVzZXJJZCI6MTE3OCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQyOTAzNTQ5fQ.lVlOOCGI7SKiaoLA1HgOdmlfaNsuMyMncAa57IHoLoQ RequirementsProficiency with C#Security backgroundWorking knowledge of cybersecurity or application security principlesFamiliarity with common vulnerabilities (OWASP Top 10), secure coding, and compliance standards.Offer DetailsPosition Type: Long-term contractor rolesWork Hours: Full-time (40 hours/week) with a required 5-hour overlap with PST (Pacific Standard Time)Compensation: Competitive and based on experience/expertiseBenefits: No medical/paid leave (contractor status)Why Join Us?Shape the future of AI-integrated development and cybersecurity in a cutting-edge environment.Collaborate with a diverse team of experts on challenging, high-impact projects.Enjoy a flexible, remote-friendly work culture that values continuous learning and innovation.

If interested please apply here: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzI2MjYsInVzZXJJZCI6MTE3OCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQzMTcxMjE5fQ.Lxc4_2ywFLhf5W5anaC7fpZg78UXMXK8TcnGN-YwApU Role Overview:The ideal candidate is very fluent in English with a creative thought process, and well-versed in common workplace processes. They should be adept at crafting diverse, high-quality text across formats such as emails, product reviews, and JIRA tickets while ensuring realism and variety in generated content (extensive experience with JIRA is not necessary). Strong analytical skills are essential to break down problems into structured steps and define logical workflows for product use cases. This role involves leveraging Gemini to generate data efficiently, with a focus on refining and enriching outputs to ensure accuracy, diversity, and contextual relevance.Sample tasks that you may work on:Developing overarching scenarios that illustrate how specific AI agents (Gemini) might be applied in workplace / real-world settings.Breaking down workflows into structured steps (e.g., a sales representative using AI to generate leads: first analyzing all businesses within a target geography, then filtering them based on industry and revenue, extracting contact details of decision-makers, sending personalized outreach emails, and finally tracking responses to prioritize follow-ups).Creating structured datasets that support scalable scenario modeling.This role calls for a mix of structured thinking, creativity, and speed, leveraging Gemini generated data to craft data which is truly useful, diverse, and reflective of real-world scenarios.Requirements:Strong command of English: Comfortable creating diverse, natural-sounding text (emails, product reviews, JIRA tickets, etc.).Analytical mindset: Able to break down problems, sequence steps, and define structured workflows.Fast and detail-oriented: Generates high-quality data efficiently; past experience with Quality Assurance is a plus.Experience-driven: At least two years of relevant work to ensure practical, real-world grounding.Creative in product use cases: Able to envision varied, realistic scenarios for how a product/Agent might be employed.[Bonus] Product team exposure: Experience as a PM, TPM, or within a product team is helpful for understanding use case scoping.Benefits:Competitive compensation based on experience and expertise.Flexible working hours and remote work environment.Opportunity to train AI projects with leading LLM companies.Offer Details:Contractor position (no medical/paid leave); the maximum duration of the contract will be 3 months.Availability of up to 40 hours/week is preferred but is flexible.This role will require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_AngelesApplication Process:Shortlisted candidates will be sent an automated analytical challenge.Once you clear the online challenge, you will proceed to an interview!Once you clear the interview round, you are ready to go!

If you are interested fill this form: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzI0NTUsInVzZXJJZCI6MTE3OCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQzNjE3NjM5fQ.M1PbZC4VkqFxPw7bzMFpT0EeYGbDcqgx7ma8Nh912Ms Senior LLM Engineer GenAI / ML (Python, Langchain)Full TimeLocation: IndiaOverall Experience: 712 YearsFocus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.Key Responsibilities:Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.Translate business needs into scalable, production-ready AI solutions.Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.Contribute to architecture discussions, code reviews, and performance optimization.Skills Required:Proficient in Python, Langchain, and SQL.Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.Background in machine learning or software engineering with a focus on system-level thinking.Experience working with cloud platforms like AWS, Azure, or GCP.Ability to work independently while collaborating effectively across teams.Excellent communication and stakeholder management skills.Preferred Qualifications:1+ years of hands-on experience in LLMs and Generative AI techniques.Experience contributing to ML/AI product pipelines or end-to-end deployments.Familiarity with MLOps and scalable deployment patterns for AI models.Prior exposure to client-facing projects or cross-functional AI teams.

Senior LLM Engineer GenAI / ML (Python, Langchain)Full TimeLocation: India (Gurgaon)Overall Experience: 7-12 YearsJob Interest form link: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzI0NTUsInVzZXJJZCI6MTIzNiwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQzNjk2MTA1fQ.2wNVDz8Vf1oH0fzeba90CSNQzpyjgaAXBgu35Zlx1pg Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.Key Responsibilities:Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.Translate business needs into scalable, production-ready AI solutions.Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.Contribute to architecture discussions, code reviews, and performance optimization.Skills Required:Proficient in Python, Langchain, and SQL.Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.Background in machine learning or software engineering with a focus on system-level thinking.Experience working with cloud platforms like AWS, Azure, or GCP.Ability to work independently while collaborating effectively across teams.Excellent communication and stakeholder management skills.Preferred Qualifications:1+ years of hands-on experience in LLMs and Generative AI techniques.Experience contributing to ML/AI product pipelines or end-to-end deployments.Familiarity with MLOps and scalable deployment patterns for AI models.Prior exposure to client-facing projects or cross-functional AI teams.