Job Title: AI Intern Location: Kochi Role Overview We are looking for a passionate and curious AI Intern to join our Data Science & AI team. This is a hands-on internship designed for students or recent graduates who want to apply their academic experience in real-world AI and data-driven projects. You'll gain exposure to real datasets, machine learning model development, and generative AI tools. Key Responsibilities Assist in data collection, wrangling, cleaning, and pre-processing. Perform Exploratory Data Analysis (EDA) to extract actionable insights. Support the development and evaluation of machine learning models. Work on tasks involving data mining and association rule mining. Participate in optimization and performance tuning of ML models. Experiment with generative AI technologies including tools like ChatGPT. Document processes, results, and learning throughout the internship. Collaborate closely with data scientists, product teams, and developers. Preferred Skills & Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI, or related field. Hands-on project experience (college-level or self-initiated) in any of the following Is Highly Beneficial Data analysis and wrangling Association rule mining Exploratory Data Analysis (EDA) Data science pipeline and model building Optimization algorithms Generative AI (e.g., working with GPT models, prompt engineering) Familiarity with Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and TensorFlow or PyTorch. Ability to communicate findings clearly with both technical and non-technical stakeholders. Bonus (Nice to Have) Experience with large language models (LLMs), OpenAI’s ChatGPT or similar tools. Knowledge of cloud platforms like AWS, GCP, or Azure. Exposure to MLOps tools or workflows. Note: This is a paid internship.Skills: machine learning model development,exploratory data analysis (eda),data wrangling,optimization algorithms,association rule mining,data science,tensorflow,pytorch,generative ai,data analysis,numpy,matplotlib,python,exploratory data analysis,scikit-learn,pandas Show more Show less

As we grow, our operations span across multiple departments, each managing its own reporting and productivity tracking. This has led to fragmented visibility at the leadership level — both internally and for our clients. To establish a centralized reporting hub that offers a real-time, cross-functional view of business performance — enabling leadership, clients, and teams to stay aligned, informed, and proactive. We envision a data-smart, AI-assisted ecosystem where reporting is no longer reactive but predictive, dashboards are live and insightful, and every department can monitor its productivity with clarity and confidence. To address this, we are setting up a dedicated Reporting & MIS Desk responsible for driving organization-wide transparency, automation, and performance monitoring . The ideal candidate will act as the central nerve center for data consolidation , building executive dashboards, standardizing reporting systems, and enabling data-led decision-making at every level. This role is perfect for someone who enjoys working across teams, loves simplifying complexity, and is passionate about transforming raw data into actionable business intelligence. Hands-on expertise in advanced Excel functions and formulas is essential, along with practical knowledge of BI tools , automation platforms , and cloud-based reporting systems for streamlined and scalable reporting. Key Responsibilities Build and manage organization-wide dashboards to provide high-level visibility across all functions Consolidate reports from multiple departments into executive summaries for internal leadership and external client stakeholders Design and implement automated reporting frameworks , minimizing manual effort across teams Leverage AI and data analytics tools (Power BI, Google Looker, Tableau, or similar) for intelligent insights, forecasting, and alerts Work closely with department heads to define KPIs, reporting standards, and productivity metrics Standardize report formats across teams and ensure consistent, timely data availability Develop and maintain MIS templates , trackers, and alert systems to support real-time performance monitoring Identify data gaps, inefficiencies, and opportunities for reporting automation Train and support internal teams in using dashboards and performance tools Provide support for client-facing reporting requirements, business reviews, and presentations Desired Skills & Experience Bachelor’s or Master’s degree in Business Analytics, Data Science, Engineering, or a related field 4–7 years of experience in MIS, Business Reporting, Analytics, or PMO roles , ideally in multi-department environments Strong command over tools like Excel, Google Sheets, Power BI, Tableau, Google Data Studio, or similar BI platforms Familiarity with automation tools , APIs, and AI-driven reporting (OpenAI, Zapier, Make/Integromat, or RPA tools) is highly desirable Excellent ability to understand business processes and convert them into structured reporting formats Strong communication and stakeholder management skills, with the ability to interface across departments and senior management Organized, detail-oriented, and capable of handling multiple reporting streams under tight timelines Why Join Us? Be at the heart of data-driven decision-making in a fast-paced, high-growth environment Work directly with leadership and impact how the company monitors, scales, and delivers across functions Pioneer the use of AI in business reporting and help shape a more transparent, efficient organization Opportunity to build a long-term role that evolves into strategic planning and data governance Job Type: Full-time Pay: ₹500,000.00 - ₹600,000.00 per year Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Experience: Advance Excel: 4 years (Required) Location: Mohali, Punjab (Preferred) Work Location: In person

Role: Lead - Generative AI/ Machine Learning/ Artificial Intelligence Experience: 5 - 10 years Job Location: Chennai About OJ Commerce OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. This role involves driving the marketing efforts for a product line with a compound annual growth rate (CAGR) of 70 PERCENT to achieve the targeted revenue run rate of US$ 200 million in three years. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Job Summary We are seeking a highly experienced and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning, and Artificial Intelligence. The ideal candidate will drive the design, development, and deployment of AI/ML solutions, lead technical teams, and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience 510 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning, NLP, computer vision, or generative models. Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, Keras, etc. Solid programming skills in Python; experience with other languages like Java, C , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text image audio). Knowledge of Reinforcement Learning, Prompt Engineering, or AutoML. Exposure to data governance, model explainability, and AI ethics. What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast-paced start-up Show more Show less

Job Title: Software Engineer – AI (Prompt Engineering & Full Stack) Location: Remote / United States / India Employment Type: Full-Time Product Stage: (Stealth Mode) AI Product Platform for Healthcare About Us: We’re a growing healthtech startup on a mission to disrupt the $500B+ US Healthcare Operations & Management space using cutting-edge AI tools. Our goal is to build a modern, intelligent platform that eliminates administrative waste and improves healthcare operations. We’re backed by the industry's best investors and SMEs, and we're building an elite team of engineers, designers, and domain experts. We are on a mission to help Clinicians and patients so that their administrative burden is simplified and the patients have the best outcomes. The Role: We’re looking for an experienced Software Engineer – AI who thrives in ambiguity, moves fast, and is passionate about applying AI (& concepts...) to solve real-world problems. You’ll play a foundational role in shaping both the product and the engineering culture. This role blends Prompt Engineering, LLM application design, and Full Stack Development to help build a next-generation healthcare intelligence engine to solve real-life problems for hospitals and health systems. What You’ll Do: Design and develop prompt architectures for LLM-based workflows Engineer and fine-tune prompt chains for optimal performance, accuracy, and reliability Collaborate with domain experts to understand the nuances of healthcare and translate them into intelligent AI interactions Develop and deploy secure, scalable full-stack features – from front-end UIs to back-end services and APIs Integrate AI capabilities into product workflows using tools like LangChain, OpenAI APIs, or open-source LLMs Work closely with the founding team to iterate quickly and bring the product to real-life operations Skills & Experience: Required: 3–7 years of experience in software engineering, ideally in AI or health-tech startups Strong grasp of Prompt Engineering for LLMs (e.g., GPT-4, Claude, Mistral, etc.) Experience with Full Stack Development using modern frameworks (e.g., React, Next.js, Node.js, Python, Flask, or FastAPI) Familiarity with AI tooling (LangChain, Pinecone, vector databases, etc.) Understanding of HIPAA and secure data handling practices Experience shipping production-grade code in a fast-paced, agile environment Good to have (+plus points) Knowledge of US Healthcare operations (e.g., CPT, ICD-10 codes, SNOMED, EDI 837/835, payer, provider workflows) Experience with healthcare data formats (HL7, FHIR, EDI) Experience with DevOps and cloud deployment (AWS/GCP/Azure) Why Join Us: Work on a mission-critical, AI-first product that impacts real healthcare outcomes Join at ground zero and shape the technical and product direction Competitive compensation, meaningful equity, and flexible work environment Build with the latest in AI – and solve problems the world hasn’t cracked yet If you’re excited to use AI to fix the broken machinery of healthcare, contact us asap! Show more Show less

Company Overview Core Insights AI is an early-stage, full-stack analytics services startup committed to delivering comprehensive end-to-end data solutions. We blend traditional analytics techniques with advanced AI tools to generate actionable insights and develop innovative products. Position: Data Science Intern | Remote - India Are you a data-driven problem solver eager to build next-gen AI products? Do you want to gain hands-on experience with real-world applications of Generative AI and data science in a high-impact startup? CoreInsightsAI is hiring a Data Science Intern to support the development and deployment of AI-powered solutions across a range of industries. What You’ll Learn & Do ✅ Assist in building and deploying Gen AI-powered applications for business use cases. ✅ Explore and analyze structured and unstructured data to generate insights and inform model development. ✅ Apply foundational AI/ML techniques (NLP, classification, clustering, etc.) to real-world problems. ✅ Use Python and AI toolkits to prototype and evaluate models. ✅ Work with APIs, vector databases, and data pipelines as part of production-ready solutions. ✅ Contribute to model integration and application deployment in cloud or on-prem environments. ✅ Research and experiment with state-of-the-art Gen AI tools, APIs, and frameworks. ✅ Collaborate with AI engineers, analysts, and the founding team to build full-stack AI products. Who Should Apply? 🎯 Pre-final year students pursuing degrees in Data Science, Computer Science, Statistics, or related fields. 🎯 Candidates with hands-on experience in Python, SQL, and data manipulation libraries (Pandas, Numpy, etc.). 🎯 Familiarity with core AI/ML techniques, models, and tools like Scikit-learn, OpenAI, LangChain, etc. 🎯 Exposure to Generative AI tools (e.g., ChatGPT, Claude, Gemini, Llama) for solving technical and creative problems. 🎯 Working knowledge of databases and cloud platforms (AWS, Azure, GCP) is a bonus. 🎯 Students with a strong interest in full-stack AI development, including model training, application prototyping, and deployment. 🎯 Curious, self-motivated learners who want startup experience and real-world project exposure. What We Offer 💡 Mentorship from seasoned professionals in AI. 📈 Real-world exposure to the inner workings of a growing startup. 🛠 Practical experience with cutting-edge AI tools & cloud services. 💰 Performance-Based Stipend: Earn rewards based on outcomes, not just hours. 🕒 Flexible Remote Work: Align your academic priorities with meaningful project milestones. 🎓 Certificate & Recommendation: Strengthen your resume with validated project impact. 🔁 Long-Term Collaboration: Best suited for pre-final year students aiming to build a standout portfolio. 🌟 Pathway to Core Team – Top performers will have the opportunity to join our core team, become integral business partners, and grow with us on our entrepreneurial journey. 🌐 Visit and follow our LinkedIn page for more details, updates, trends, and projects. Excited to build the future of AI with us? Apply now! Note: This is a paid internship.Skills: gcp,tech-savvy,vscode,ai tools,ml,aws,azure,generative ai,classification,gemini,data science,langchain,communication,claude,data analysis,clustering,sql,chatgpt,numpy,pandas,scikit-learn,team collaboration,python,openai,llama,nlp Show more Show less

Job Title: Python AI Backend Developer Pay Bracket: INR 6 – 10 LPA (commensurate with skills & experience) Location: Mumbai (Andheri W) Company: ZANG – the AI-powered e-commerce search engine About ZANG ZANG is re-imagining online shopping with a unified, AI-driven search experience that pinpoints the right product—at the right price—across every major marketplace. We’re an early-stage, venture-backed team that moves fast, ships often, and sweats the details. The Role We’re looking for a Python AI Backend Developer who can turn cutting-edge AI models and readily available AI services into production-ready, automated workflows. You’ll design the back-end engines that power our search, recommendation, and data-ingestion pipelines—so shoppers get relevant results in milliseconds. Key Responsibilities What you’ll own AI Workflow Engineering • Orchestrate end-to-end workflows (ingestion → processing → vector indexing → API) using Airflow, Prefect, or similar. • Combine open-source LLMs/embeddings (e.g., OpenAI, Hugging Face) with in-house models to deliver ranking, personalization, and semantic search. Backend Development • Design and scale Python micro-services (FastAPI/Falcon/Flask) that expose clean REST & gRPC endpoints. • Implement robust authentication, rate-limiting, and logging/observability. Data & Scraping Pipelines • Maintain modular scrapers for key e-commerce sites; handle rotating proxies, CAPTCHA, and dynamic pages. • Transform raw HTML into structured datasets ready for model training and search indexing. Storage & Retrieval • Optimise vector / NoSQL stores (Pinecone, Milvus, MongoDB, Elasticsearch) for low-latency reads and high-throughput writes. • Implement data versioning and retention policies. Collaboration & Reporting • Work closely with front-end, DevOps, and product teams to ship features on time. • Write clear technical docs and participate in code reviews. Must-Have Skills Expert-level Python (type hints, async IO, packaging, unit tests). Hands-on with web-scraping stacks: Scrapy / BeautifulSoup / Selenium / Playwright . Solid grasp of AI/ML & NLP concepts and libraries (PyTorch, TensorFlow, spaCy, transformers). Experience integrating third-party AI APIs (OpenAI, Cohere, Google Gemini, etc.). Production experience with REST/gRPC , containerisation (Docker), and CI/CD. Working knowledge of vector databases or search engines (e.g., Pinecone, Qdrant, Elasticsearch). Git-centric workflow and comfort with Agile/GitHub boards. Nice-to-Have Prior work on e-commerce or large-scale product-catalogue data. AWS stack (ECS, Lambda, S3, Step Functions) or equivalent cloud experience. Familiarity with recommendation systems, learning-to-rank, or reinforcement-learning-to-rank. Knowledge of orchestration tools (Airflow, Prefect, Dagster). What’s in It for You Competitive pay + stock options. The freedom to choose the best tools and ship production code from Day 1. A front-row seat in a high-growth startup solving a real consumer pain-point. A culture that values clear thinking, quick execution, and continuous learning. How to Apply Skip the queue—email your résumé (or GitHub/portfolio) to amit.letsbegin@gmail.com with the subject “Python AI Backend Developer – ZANG” . We’ll set up a quick call to dive deeper into the role and your work. If building scalable AI products is your idea of fun, we’d love to hear from you. Show more Show less

Reporting to the Technical lead, we are seeking Senior Software Engineer with a good background in building high quality web applications on the Microsoft technology stack. You will be responsible for building and maintaining internal and external facing applications. You will work with a team of experienced developers and business resources to build high-performing enterprise systems that assist clients in making the best strategic decisions for their business. This includes the maintenance and promotion of department coding standards and naming convention. Contributing to the creation of project delivery timelines will be a key responsibility by providing technical insight and participating in estimation sizing discussions as required Requirements 5+ years of hands-on development experience using Microsoft .NET / Python technologies to build Micro Service Architecture, Web and/or Console Applications. Azure OpenAI, RAG, Python, Prompt Flow, Kubernetes, Helm charts, Elastic Search / Azure AI Search. Azure Services - KeyVault, App Config, VNet, API Gateway Experience in the below frameworks: .Net Framework Asp.Net MVC/WebAPI/Core Flask, FastAPI Angular / React Entity Framework /any ORM Experience\Understanding of DevOps practices including: Continuous Integration / Delivery / Deployment QA Automation Release Automation Server Configuration Cross Function collaboration Experience\Understanding of the below-testing toolset: MSTest / NUnit / unittest Jasmine / Jest Any Mock Framework Postman / Newman Experience\Understanding any of Cloud technologies: Azure (prefered) Amazon Web Services \ Google Experience in managing the following: Microsoft SQL Server, any NoSQL DB Infrastructure as Code ( ARM / Bicep / Terraform) OOP programming (theoretical and practical experience of OO design principles and patterns) Experience\Understanding with Agile methodologies, BDD (Behaviour Driven Development) Test Driven Development (TDD) and especially Domain Driven Design (DDD). Solid knowledge of Git, and Visual Studio programming environments. Ability to work under pressure and meet tight deadlines. Excellent oral and written communication skills; strong communication with both technical and business teams. Excellent administrative and organizational skills. Self-motivation and drive to take on personal responsibility. Exceptional attention to detail and commitment to quality. Critical reasoning and decision-making skills. Benefits Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more....!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Show more Show less

ByteWise Techlabs is helping a top-tier enterprise AI team hire a versatile GenAI Engineer who can build intelligent solutions and drive structured project execution . This hybrid role is ideal for professionals passionate about GenAI , hands-on with Python and LLM workflows , and skilled in managing cross-functional collaboration to deliver real-world business impact. If you enjoy working at the intersection of deep tech and delivery — experimenting with AI while ensuring things get shipped — this could be your next big opportunity. Key Responsibilities Design, build, and iterate GenAI/ML models using Python, OpenAI APIs, LangChain, Hugging Face, and vector databases like FAISS or Pinecone Translate ambiguous business problems into ML-ready workflows (e.g., data prep, RAG pipelines, prompt engineering) Write modular, scalable, version-controlled code that connects GenAI systems with internal APIs or services. Collaborate with product owners, tech teams, and external partners to co-develop GenAI solutions. Conduct prompt engineering and integrate LLMs into end-to-end automation flows. Drive UATs, track execution plans, manage dependencies, and ensure timely delivery of AI features. Document configurations, results, and learnings are clearly documented for knowledge-sharing Stay ahead of emerging trends in AI/GenAI and identify experimentation opportunities. What We’re Looking For We value both technical depth and structured delivery discipline. Required Experience: 4–6 years in AI/ML, GenAI, or applied data science / tech-enabled roles Strong Python coding skills; hands-on with libraries like NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch Experience working with GenAI APIs and tools: OpenAI, LangChain, Hugging Face Familiarity with prompt engineering, LLM orchestration, and RAG pipelines Experience with vector databases like FAISS or Pinecone Comfort with Git, APIs, and deployment on GCP, AWS, or Azure Exposure to managing timelines, partner collaboration, and structured delivery cycles Clear, structured thinker who communicates well across tech and business stakeholders Comfortable working from or relocating to Mumbai (hybrid setup) Why This Role Is Unique End-to-end ownership: prototype, collaborate, deploy Solve real enterprise problems, not just build demos Be part of a high-performance team blending AI innovation with execution rigour Operate at the cutting edge of GenAI adoption in India’s top enterprise settings Show more Show less

Job Summary: We are seeking a talented and innovative Generative AI Developer to design, develop, and deploy AI-powered applications using state-of-the-art generative models. You will work with large language models (LLMs), diffusion models, and other GenAI techniques to build intelligent solutions across various domains such as content generation, chatbots, code generation, image/video synthesis, and automation tools. Key Responsibilities: Design and develop applications using Generative AI technologies (e.g., OpenAI, Hugging Face, Stability AI). Fine-tune, prompt-engineer, or integrate large language models (LLMs) and generative models for custom use cases. Collaborate with cross-functional teams (engineering, product, data science) to define requirements and deliver AI solutions. Build APIs, user interfaces, or backend systems to enable seamless interaction with AI models. Continuously evaluate, test, and improve model performance, safety, and reliability. Stay updated on the latest GenAI research, tools, and best practices. Required Skills: Strong programming skills in Python (preferred), with experience using TensorFlow , PyTorch , or other ML frameworks. Experience working with transformer models , diffusion models , or foundation models (e.g., GPT, LLaMA, DALL·E, Stable Diffusion). Familiarity with prompt engineering , API integration , and fine-tuning models. Knowledge of cloud platforms (AWS, GCP, Azure) and deployment pipelines. Experience with data preprocessing, model evaluation, and performance tuning. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields. Experience in natural language processing (NLP), computer vision, or multimodal AI systems. Knowledge of Responsible AI principles and safety best practices. Soft Skills: Creative thinking and a passion for cutting-edge AI technologies. Strong problem-solving and analytical skills. Ability to work independently as well as part of a collaborative team. Effective communication and documentation skills. Show more Show less

A career within our Infrastructure practice will provide you with the opportunity to design, build, coordinate and maintain the IT environments for clients to run internal operations, collect data, monitor, develop and launch products. Infrastructure management consists of hardware, storage, compute, network and software layers. As a part of our Infrastructure Engineering team, you will be responsible for maintaining the critical IT systems which includes build, run and maintenance while providing technical support and training that aligns to industry leading practices. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. AI Engineer Overview We are seeking an exceptional AI Engineer to drive the development, optimization, and deployment of cutting-edge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve real-world business challenges, requiring deep expertise in both the theoretical underpinnings and practical applications of generative AI. Core Qualifications Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field with a focus on generative models 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models) Expertise in PyTorch or TensorFlow, with a preference for experience in both Proficiency in Python and software engineering best practices for AI systems Technical Skills Required Demonstrated experience with large language models (LLMs) such as GPT, BERT, T5, etc. Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E) Familiarity with prompt engineering and few-shot learning techniques Expertise in MLOps and LLMOps practices, including CI/CD for ML models Strong knowledge of one or more cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI) Preferred Proficiency in optimizing generative models for inference (quantization, pruning, distillation) Experience with distributed training of large-scale AI models Experience with model serving technologies (e.g., TorchServe, TensorFlow Serving, Triton Inference Server) Key Responsibilities Architect and implement end-to-end generative AI solutions, from data preparation to production deployment Develop custom AI models and fine-tune pre-trained models for specific client use cases Optimize generative models for production, balancing performance, latency, and resource utilization Design and implement efficient data pipelines for training and serving generative models Develop strategies for effective prompt engineering and few-shot learning in production systems Implement robust evaluation frameworks for generative AI outputs Collaborate with cross-functional teams to integrate generative AI capabilities into existing systems Address challenges related to bias, fairness, and ethical considerations in generative AI applications Project Delivery Lead the technical aspects of generative AI projects from pilot to production Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems Conduct technical feasibility studies for applying generative AI to novel use cases Implement monitoring and observability solutions for deployed generative models Troubleshoot and optimize generative AI systems in production environments Client Engagement Provide expert technical guidance on generative AI capabilities and limitations to clients Collaborate with solution architects to design generative AI-powered solutions that meet client needs Present technical approaches and results to both technical and non-technical stakeholders Assist in scoping and estimating generative AI projects Innovation and Knowledge Sharing Stay at the forefront of generative AI research and industry trends Contribute to the company's intellectual property through patents or research publications Develop internal tools and frameworks to accelerate generative AI development Mentor junior team members on generative AI technologies and best practices Contribute to technical blog posts and whitepapers on generative AI applications The ideal candidate will have a proven track record of successfully deploying AI models in production environments, a deep understanding of the latest advancements in generative AI, and the ability to apply this knowledge to solve complex business problems. They should be passionate about pushing the boundaries of what's possible with generative AI and excited about the opportunity to shape the future of AI-driven solutions for our clients. Show more Show less

Job Description: Role Overview :- Monitor, evaluate, and optimize AI/LLM workflows in production environments. Ensure reliable, efficient, and high-quality AI system performance by building out an LLM Ops platform that is self-serve for the engineering and data science departments. Key Responsibilities:- Collaborate with data scientists and software engineers to integrate an LLM Ops platform (Opik by CometML) for existing AI workflows Identify valuable performance metrics (accuracy, quality, etc) for AI workflows and create on-going sampling evaluation processes using the LLM Ops platform that alert when metrics drop below thresholds Cross-team collaboration to create datasets and benchmarks for new AI workflows Run experiments on datasets and optimize performance via model changes and prompt adjustments Debug and troubleshoot AI workflow issues Optimize inference costs and latency while maintaining accuracy and quality Develop automations for LLM Ops platform integration to empower data scientists and software engineers to self-serve integration with the AI workflows they build Requirements:- Strong Python programming skills Experience with generative AI models and tools (OpenAI, Anthropic, Bedrock, etc) Knowledge of fundamental statistical concepts and tools in data science such as: heuristic and non-heuristic measurements in NLP (BLEU, WER, sentiment analysis, LLM-as-judge, etc), standard deviation, sampling rate, and a high level understanding of how modern AI models work (knowledge cutoffs, context windows, temperature, etc) Familiarity with AWS Understanding of prompt engineering concepts People skills: you will be expected to frequently collaborate with other teams to help to perfect their AI workflows Experience Level 3-5 years of experience in LLM/AI Ops, MLOps, Data Science, or MLE Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2025 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse. What You’ll Be Doing Work on high-traffic SaaS services running at a global scale, serving hundreds of millions of requests per day and increasing Work on building highly available, zero downtime middleware and front-end products. Help build software that spans from the browser all the way down to analytics data pipelines - our engineers work to support a dedicated data science/blue watch team Help automate core workflows using statistical algorithms and Machine Learning Design and test new components within a complex event-driven architecture Work within an agile, cross-functional team (SWE, SRE, SOC, QE) to build out and own services and projects, from requirements + specs to release and maintenance Help with migrating from a monolithic system and AWS lambdas to a microservices-based architecture running on Kubernetes What We Want From You 4+ years experience in a commercial environment using back-end programming languages - Python and GO 2+ years of database (NoSQL and Relational) experience 2+ years experience with microservices Experience with agile development (Scrum/Kanban) Nice to have Experience with statistics, data analysis, data mining, machine learning, or other data-focused discipline. Experience with implementing and maintaining CI/CD pipelines Experience with Docker/containers, and ideally container orchestration (e.g. Kubernetes) Strong knowledge of web/HTTP concepts and methodologies - DNS, TLS, browser caching, CDNs (e.g. Cloudflare/CloudFront) Why Arkose Labs? At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, OpenAI, and more. We’re not just a company; we’re a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe. Why do top tech professionals choose Arkose Labs? Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients. Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment. Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events. Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas. Join us in shaping the future of technology. At Arkose Labs, you’re not just an employee; you’re part of a visionary team driving global change The most recognizable brands in the world select Arkose Labs, including OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir. We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education. We Value People: first and foremost they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do. Team Work. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another Customer Focus. We empathize with our customers and obsess about solving their problems Execution with precision, professionalism and urgency Security. It’s the lens through which we implement our processes, procedures, and programs Benefits Competitive salary + Equity Beautiful office space with many perks Robust benefits package Provident Fund Accident Insurance Flexible working hours and work from home days to support personal well-being and mental health Arkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities. Show more Show less

Role Description Lead I -Software engineering Principal Developer – ML/Prompt Engineer Who We Are At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Java,Python,C++ Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Fractal Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Description As an NLP Lead Data Scientist, you will be building solutions that require analyzing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required Qualifications 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred Qualifications Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Job description Persevex is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that collaborate in multi-agent systems. We create agent-based architectures that enable autonomous decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration, and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and technical feasibility. Role Overview As a Multi-Agent Systems Architect at Persevex, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation. Key Responsibilities • Design and implement multi-agent system architectures that enable autonomous decision- making and collaboration among AI agents. • Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies. • Build and optimize agent communication layers using APIs, vector databases, and messaging protocols. • Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities. • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.). • Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions. • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments. • Continuously research and apply the latest advances in multi-agent systems, decentralized AI, and autonomous agents. • Document architecture designs, workflows, and implementation details clearly for team collaboration and future reference. What We’re Looking For • Practical experience designing and building multi-agent systems or agent-based architectures. • Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace). • Understanding of decentralized control, agent communication protocols, and emergent system design. • Experience with cloud platforms (AWS, GCP, Azure) and API integrations. • Strong problem-solving skills and ability to work independently in a remote startup environment. • No formal degree required - your skills, projects, and passion matter most. Location - 100% Remote Experience - 0-1 year Compensation Structure : This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position. • Pre-Qualification Internship (Mandatory): • Duration: 2 months • Stipend: ₹5,000/month • Objective: To evaluate foundational skills, work ethic, and cultural fit within the organization. • Internship (Mandatory) • Duration: 4 months • Stipend: ₹5,000–₹15,000/month (based on performance during the pre-qualification internship) Why Join Persevex? • Work remotely with a passionate, innovative startup. • Contribute to pioneering multi-agent AI systems shaping the future of autonomous technology. • Grow your career from internship to full-time with competitive pay and equity opportunities. • Career Growth: Prove your potential and secure a full-time role with competitive compensation. Note: This is not a direct full-time job opportunity. Candidates must commit to our mandatory two- stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you! Ready to build the future of autonomous AI? Apply now and join Persevex mission! Show more Show less

Job Profile - D365 and Copilot Job Location - Remote Experience - 5+yrs Contact - nikhil.vats@multiversetech.com We are looking for a motivated and enthusiastic individual with strong knowledge of Microsoft Copilot solutions, including Copilot Studio, Copilot in Teams, Copilot in Microsoft 365 , and awareness of Azure AI, Power Apps, Power Automate, and Power BI . This role is ideal for someone who stays up-to-date with the latest Microsoft AI technologies and has the drive to learn and apply these in real-world business solutions. This role will focus on client requirement gathering, POC development, project delivery, demo solution creation, and mentoring internal team members to strengthen Copilot capabilities across the organization. Responsibilities: Collaborate directly with clients to gather requirements, understand business needs, and propose Copilot-based solutions. Design, develop, and deliver Proof of Concepts (POCs) and full-scale solutions using Microsoft Copilot technologies. Build and present demo solutions showcasing the capabilities of Copilot Studio, Teams Copilot, M365 Copilot, and Azure/OpenAI integrations. Lead and manage end-to-end Copilot project delivery ensuring quality, timelines, and client satisfaction. Act as a mentor and guide for internal teams by conducting training sessions and knowledge sharing on Copilot-related tools and best practices. Stay updated on the latest releases, enhancements, and best practices in Microsoft's Copilot ecosystem. Assist in developing internal assets, accelerators, and reusable components related to Copilot automation and AI solutions. Work closely with pre-sales teams to assist in solutioning and technical proposal creation for Copilot-related opportunities. Required Skills & Qualifications: Knowledge of Copilot Studio (basic to intermediate understanding of building copilots using low-code interface). Familiarity with Copilot in Teams and M365 and their usage scenarios. Exposure to Power Platform components (Power Apps, Power Automate, Power BI). Understanding of Azure AI/ML services, especially those related to LLMs and document intelligence, is a plus. Excellent communication and documentation skills. Willingness to learn and grow in a fast-paced AI-driven development environment. Preferred Qualifications: Microsoft certifications in Power Platform, Azure AI, or Copilot (where available) are a plus. Experience working in PreSales, client discussions, or solutioning is a plus. Exposure to Copilot use cases in HR, Finance, or IT operations is desirable. Soft Skills: Excellent communication and presentation skills. Strong organizational and documentation skills. Team player attitude with a proactive mindset towards learning and growth. Show more Show less

About Us : We are a technology-driven publishing and legal-tech organization currently expanding our capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. Role Overview : We are looking for a Solution Architect with proven experience in AI/ML system design, team leadership, and successful delivery of Vector DB-based, RAG-enabled, and LLM-tuned solutions. You will act as both a technical leader and a strategic enabler, guiding developers across technologies to adopt best practices in integrating AI into products and internal processes. This is a critical onsite role, working directly with engineering managers and developers across technologies (including .NET, Python, MERN/MEAN), ensuring scalable, maintainable, and innovative AI-driven systems. Key Responsibilities : Architect, plan, and deliver enterprise-grade AI solutions using : Vector Databases (e.g., FAISS, Chroma) RAG Pipelines (Retrieval-Augmented Generation) LLM Pre-training, Fine-tuning, and RLHF (Reinforcement Learning with Human Feedback) Lead AI solution design discussions and provide actionable architecture blueprints. Collaborate with engineering teams (Python, .NET, MERN, MEAN) to integrate AI modules into existing and new systems. Evaluate and select AI/ML frameworks, infrastructure, and tools suited for business needs. Guide and mentor junior AI engineers and full-stack developers on technical direction, code quality, and solution robustness. Define and implement best practices for model training, versioning, deployment, and monitoring. Translate business needs into technical strategies for AI adoption across products and internal processes. Stay ahead of emerging AI trends and continuously assess their applicability to business goals. Required Skills & Qualifications : Bachelors or Masters in Computer Science, Engineering, AI/ML, or related fields. 5+ years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in : Vector Search Engines (e.g., FAISS, Pinecone, Chroma) LLM Tuning & Deployment (e.g., LLaMA, GPT, Mistral, etc.) RAG systems, Prompt Engineering, LangChain RLHF techniques and supervised finetuning Experience working with multi-tech teams (especially .NET and JavaScript-based stacks). Strong command over architecture principles, scalability, microservices, and API-based integration. Excellent team leadership, mentorship, and stakeholder communication skills. Prior experience delivering at least one production-grade AI/NLP project with measurable impact. Nice to Have : Experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, Azure/AWS AI services Exposure to data pipelines, MLOps, and AI governance Familiarity with enterprise software lifecycle and DevSecOps practices Show more Show less

About Taxmann Taxmann is a technology-driven publishing and legal-tech organization, focused on delivering innovative solutions at the intersection of law, finance, and technology. We are currently expanding our capabilities through advanced AI initiatives. Our internal team is proficient in .NET, MERN, and MEAN stacks, with recent developments in AI-based chatbots using OpenAI and LLaMA. As part of our growth, we are seeking a skilled Python Developer to design, develop, and maintain scalable applications and APIs that power our next-generation legal-tech and AI-driven products. Position: Python Developer We are looking for a highly motivated Python Developer with a strong background in building robust, efficient, and scalable backend systems. The ideal candidate will be responsible for developing RESTful APIs, data pipelines, and integrating AI and data-driven services into production-ready applications. Key Responsibilities Develop and maintain scalable RESTful APIs using frameworks like Flask or FastAPI. Design, implement, and manage backend services for web and AI applications. Integrate machine learning and GenAI models into backend workflows and APIs. Work with libraries such as pandas, BeautifulSoup, and NumPy for data processing and manipulation. Collaborate with front-end developers, data scientists, and product managers to deliver end-to-end solutions. Optimize existing Python codebases for performance, readability, and maintainability. Write and maintain SQL queries and work with relational databases for data extraction and storage. Create and maintain automated scripts for data ingestion, transformation, and reporting. Implement best practices for version control, CI/CD, testing, and deployment. Ensure the security, integrity, and scalability of developed applications. Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Minimum 2 years of experience in backend or full-stack Python development. Strong proficiency in Python and backend frameworks (Flask, FastAPI, Django). Experience working with APIs, databases (SQL), and data handling libraries. Familiarity with HTML, CSS, JavaScript is a plus (for API integration and testing). Knowledge of Git and collaborative development workflows. Ability to write clean, modular, and well-documented code. Strong problem-solving skills and attention to detail. Show more Show less

About Us We are a technology-driven publishing and legal-tech organization currently expanding our capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. Job Description/Roles Active Directory, file Server, Web Server (IIS, Apache, Nginx) and Application Server Management Database Server like MS-SQL, MySQL, MongoDB, Redis, PostgreSQL installation, troubleshooting and Backup Installation of New Windows Server, Linux and Desktop systems Windows Server and Linux application/ Software like VB, C# , .net etc. installation and troubleshooting Basic knowledge of Public cloud management like AWS, Azure etc Virtual Hypervisor management like Hyper-V or Esxi Virtual Machine/Server management and Backup Troubleshooting basic server hardware and OS issues Assist management, patch deployment and server up-gradation Monitor and maintain server(s) performance and availability, troubleshooting OS issues Respond to end user issues that have escalated from Desktop Support Work on ongoing IT projects as assign (ref:hirist.tech) Show more Show less

About TwoSD (2SD Technologies Limited) TwoSD is the innovation engine of 2SD Technologies Limited , a global leader in product engineering, platform development, and advanced IT solutions. Backed by two decades of leadership in technology, our team brings together strategy, design, and data to craft transformative solutions for global clients. Our culture is built around cultivating talent, curiosity, and collaboration. Whether you're a career technologist, a self-taught coder, or a domain expert with a passion for real-world impact, TwoSD is where your journey accelerates. Join us and thrive. At 2SD Technologies, we push past the expected—with insight, integrity, and a passion for making things better. Role Overview We are hiring a Full Stack Developer with AI Engineering skills to help build and scale next-generation digital platforms. This permanent role is based in Gurugram, India , and is ideal for a developer who thrives at the intersection of frontend/backend systems and machine learning/AI tooling . You’ll be responsible for building production-grade features, integrating LLMs and ML services, and accelerating delivery with AI-enhanced development environments. Key Responsibilities Full Stack Development: Design, develop, and maintain both frontend (React, Vue.js) and backend (Node.js, Python, Express) components AI Integration: Build features that leverage LLMs , NLP , and retrieval-augmented generation (RAG) for platform intelligence Prompt Engineering: Develop and optimize prompts to interact with LLMs like OpenAI, Claude, or local models for feature enrichment Scalable APIs: Design and deploy REST/GraphQL APIs for AI-enabled features and integrations DevOps Collaboration: Work with DevOps to automate deployments, CI/CD pipelines, and observability for AI and core components Testing & QA: Implement unit, integration, and automated tests to ensure platform reliability and performance Cross-Functional Delivery: Collaborate with product managers, data scientists, and QA engineers to deliver full-cycle platform features Required Qualifications Education: Bachelor’s degree in Computer Science, Engineering, or equivalent (Master’s is a plus) Experience: 4+ years in full stack development with modern frameworks 1–2 years of experience working with AI/ML frameworks or tools Experience in platform development (SaaS, analytics platforms, digital products) Technical Skills: Frontend: React, Vue.js, TypeScript, Next.js Backend: Node.js, Express, Python (FastAPI or Flask) AI/ML: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex Prompt Engineering: Custom prompt design and LLM fine-tuning (preferred) Databases: PostgreSQL, MongoDB, Redis DevOps: Docker, GitHub Actions, AWS or Azure deployment experience Preferred Qualifications Experience with retrieval-augmented generation (RAG) architectures Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate) Exposure to Agentic AI frameworks like AutoGPT, CrewAI, DSPy Experience integrating data pipelines , MLOps, or analytics dashboards Knowledge of cloud-native microservices or serverless patterns Core Competencies End-to-End System Thinking AI-Native Development Mindset Rapid Prototyping and Iteration Cross-Functional Team Collaboration Clean Code Practices & Architecture Ownership Tools & Platforms Languages: JavaScript, TypeScript, Python Frontend: React, Vue.js, Next.js Backend: Node.js, Express, FastAPI AI Libraries: OpenAI, LangChain, Hugging Face, Transformers Databases: PostgreSQL, MongoDB, Redis Vector DBs: Pinecone, FAISS DevOps: Docker, GitHub, GitHub Actions, AWS Testing: Jest, Cypress, Pytest Project Tools: Jira, Notion, Slack Why Join TwoSD? At TwoSD , innovation isn’t a department—it’s a mindset. Here, your voice matters, your expertise is valued, and your growth is supported by a collaborative culture that blends mentorship with autonomy. With access to cutting-edge tools, meaningful projects, and a global knowledge network, you’ll do work that counts—and evolve with every challenge. Full Stack Developer – AI-Integrated Platform Engineering Location: Gurugram, India (Onsite/Hybrid) Company: TwoSD (2SD Technologies Limited) Industry: Information Technology / AI Platforms Employment Type: Permanent Date Posted: 24 May 2025 How to Apply To apply, send your updated resume and portfolio (if available) to hr@2sdtechnologies.com or apply through our LinkedIn careers page. Show more Show less

Operations Associate Company: Scale AI About the job: As Scale AI continues its historic growth trajectory in the Generative AI sector, we are seeking a Growth Marketing Manager to helm initiatives that will significantly drive revenue and expansion within India. This demanding and multi-faceted role requires a unique blend of skills across strategy, operations, and customer engagement, with the aim to catalyze rapid growth in a dynamic and evolving market. A key objective of this role is to build the process to strategically acquire and onboard thousands of highly skilled contributors from India to train and evaluate leading AI models. About the Role: As an Operations Associate in the Allocations team, you will act as the critical link between project demand and freelancer availability—similar to how Uber matches drivers to riders. Your main responsibility is ensuring that every available freelancer gets matched with the right project efficiently, maximizing utilization, and minimizing idle time. Key Responsibilities: Real-Time Matching: Assign freelancers to available projects, ensuring optimal skill-to-task alignment. Workforce Utilization: Maintain 100% efficiency in work distribution, ensuring no freelancer remains idle. Demand Forecasting: Anticipate project needs and adjust allocations accordingly. Data-Driven Decision Making: Use dashboards and analytics to track freelancer availability and project capacity. Problem-Solving: Quickly resolve allocation challenges like freelancer shortages or project bottlenecks. Automation & Optimization: Identify patterns in allocations and suggest process improvements, including automation opportunities. Operational Monitoring: Track key allocation metrics (utilization rate, turnaround time, efficiency scores) and propose data-backed solutions. Cross-Team Collaboration: Work with data, product, and operations teams to improve the allocation system and ensure a seamless freelancer experience. Escalation Handling: Address urgent allocation issues and make real-time adjustments to maintain workflow balance. What We're Looking For: 0-2 years of experience in workforce planning, operations, logistics, or marketplace management. Strong analytical mindset with experience using SQL for data analysis and reporting. Ability to think in real-time, making quick and effective allocation decisions. Proactive problem-solver who thrives in fast-paced environments. Excellent communication skills and attention to detail. Experience with workforce management tools, scheduling platforms, or similar operational software is a plus. Education: Bachelor’s degree in Engineering, or a related field. Preference for graduates from IITs . Location: Initially, the role will be remote (work from home). However, as the team expands and grows in India, we might move to working from office or a hybrid model. Candidate applying for this role should be based in (or willing to relocate at some point) Mumbai. Additional Details: Please Note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Show more Show less

Business Analyst Company: Scale AI About the job: As Scale AI continues its historic growth trajectory in the Generative AI sector, we are seeking a Growth Marketing Manager to helm initiatives that will significantly drive revenue and expansion within India. This demanding and multi-faceted role requires a unique blend of skills across strategy, operations, and customer engagement, with the aim to catalyze rapid growth in a dynamic and evolving market. A key objective of this role is to build the process to strategically acquire and onboard thousands of highly skilled contributors from India to train and evaluate leading AI models. About the Role: As an Business Analyst in the Allocations team, you will act as the critical link between project demand and freelancer availability—similar to how Uber matches drivers to riders. Your main responsibility is ensuring that every available freelancer gets matched with the right project efficiently, maximizing utilization, and minimizing idle time. Key Responsibilities: Real-Time Matching: Assign freelancers to available projects, ensuring optimal skill-to-task alignment. Workforce Utilization: Maintain 100% efficiency in work distribution, ensuring no freelancer remains idle. Demand Forecasting: Anticipate project needs and adjust allocations accordingly. Data-Driven Decision Making: Use dashboards and analytics to track freelancer availability and project capacity. Problem-Solving: Quickly resolve allocation challenges like freelancer shortages or project bottlenecks. Automation & Optimization: Identify patterns in allocations and suggest process improvements, including automation opportunities. Operational Monitoring: Track key allocation metrics (utilization rate, turnaround time, efficiency scores) and propose data-backed solutions. Cross-Team Collaboration: Work with data, product, and operations teams to improve the allocation system and ensure a seamless freelancer experience. Escalation Handling: Address urgent allocation issues and make real-time adjustments to maintain workflow balance. What We're Looking For: 0-2 years of experience in workforce planning, operations, logistics, or marketplace management. Strong analytical mindset with experience using SQL for data analysis and reporting. Ability to think in real-time, making quick and effective allocation decisions. Proactive problem-solver who thrives in fast-paced environments. Excellent communication skills and attention to detail. Experience with workforce management tools, scheduling platforms, or similar operational software is a plus. Education: Bachelor’s degree in Engineering, or a related field. Preference for graduates from IITs . Location: Initially, the role will be remote (work from home). However, as the team expands and grows in India, we might move to working from office or a hybrid model. Candidate applying for this role should be based in (or willing to relocate at some point) Mumbai. Additional Details: Please Note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. ✅ Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations | A+ track record in scaling startups. Growth @ Outlier AI Show more Show less

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Associate Manager - AI Engineer Description: We are seeking a Senior AI Engineer to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies. Key Responsibilities Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure). Develop and maintain robust APIs for seamless AI/ML integration into enterprise systems. Collaborate with cross-functional stakeholders to align AI solutions with business objectives. Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. Develop and train Generative AI models. Perform data analysis and prepare data for AI model training. Integrate AI models with Snowflake, AWS and other systems. Must Have 5 years of experience in AI/ML development and deployment, including leadership roles. Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit and vector databases. Strong experience in building scalable (Gen) AI applications on AWS. Strong background and understanding of vector databases. Experience in building (Gen) AI solutions on Snowflake is a plus. Good knowledge in Python for data science, as well as Streamlit for rapid deployment of prototypes. Good knowledge in Git. Experience in working in an agile and international environment. Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. Good documentation and coaching practice. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN Show more Show less

We’re building the next generation of AI-powered customer success. Our platform ingests and interprets real-time product usage data, conversational history (emails, chats, meetings), and other customer signals to proactively drive customer engagement, reduce churn, and increase satisfaction. If you’re excited about solving complex AI challenges with real-world impact and working at the intersection of machine learning, generative AI, and applied data science—this is the role for you. What You'll Do Lead the design and development of AI systems that analyze product usage and conversational data to generate intelligent, real-time customer insights. Research and prototype machine learning and generative AI models for: Customer intent prediction Churn and risk modelling Conversational summarization and generation Behaviour driven engagement automation Collaborate closely with engineering, product, and data teams to deploy AI models into production pipelines. Contribute to model evaluation, bias mitigation, and continuous improvement strategies. Stay current with AI/ML research and suggest applicable innovations to keep our product ahead of the curve. What We're Looking For Experience: 4+ years in AI/ML research or applied roles, ideally in a SaaS or customer-centric product environment. Expertise in: Natural Language Processing (NLP) and Conversational AI (e.g., summarization, dialogue generation) Machine Learning for time-series, behavioral analytics, and customer modeling GenAI frameworks (OpenAI, Hugging Face, LangChain, or similar) Strong understanding of data pipelines, feature engineering, and model evaluation. Experience working with large-scale unstructured and structured data. Demonstrated ability to convert research into deployable, scalable solutions. M.S. or Ph.D. in Computer Science, AI, Data Science, or a related field. Good to have: Experience with real-time data systems or event-driven architectures (e.g., Kafka, Pub/Sub). Prior work in Customer Success tech, CRM systems, or marketing automation platforms. Contributions to open-source AI/ML projects or published research papers. Show more Show less

Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps, and Role Description Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation. What We’re Looking For Bachelor's or Master's degree or higher in Computer Science, Data Sciences-Machine Learning, Engineering, or related fields. Strong experience with ML Ops tools (Kubeflow, ML flow, TFX, Sage Maker, etc.). Experience with LLM-specific tools and frameworks ( LangChain, Lang Graph, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS, Weavite, Chroma DB etc.). Solid experience in deploying models in cloud (AWS, Azure, GCP) and on-prem environments. Proficient in containerization (Docker, Kubernetes) and CI/CD practices. Familiarity with monitoring tools like Prometheus, Grafana, and ML observability platforms. Strong coding skills in Python, Bash, and familiarity with infrastructure-as-code tools (Terraform, Helm, etc.).Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Strong skills in Giskard, Deepeval etc. Qualifications Bachelor or Masters or Higher in Computer Sciences, Data Sciences, or any related field 3+ years to 7 Years of experience in deploying ML/DL and LLM based solutions in large scale deployment environment or related experience Experience with fine-tuning LLMs and serving them in production at scale. Knowledge of model compression techniques for LLMs (LoRA, QLoRA, quantization-aware training). Experience with distributed systems and high-performance computing for large-scale model serving. Awareness of AI fairness, explainability, and governance frameworks. What You Should Expect in This Role Fully Remote Opportunity – Work from anywhere in the U.S. / India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Show more Show less