1140 Inference Jobs

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Experience: 2.5 - 5 years of experience Salary : 5-11 LPA Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,100,000.00 per year Schedule: Day shift Work Location: In person

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow , PyTorch , scikit-learn , or Keras . Hands-on exposure to self-hosted or managed LLMs , supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy , NLTK , Hugging Face Transformers , and OpenCV , contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django , Flask , or Node.js , and API development (REST or GraphQL). Front-end development experience with React , Angular , or Vue.js , with a working understanding of responsive design and state management. Development and optimization of data storage solutions , using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached . Working knowledge of microservices and serverless patterns , participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark , and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse , using tools such as Airflow , dbt , BigQuery , or Snowflake . Understanding of CI/CD , containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines , including setting up IAM roles , configuring TLS/SSL , and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices , model versioning, and deployment pipelines using MLflow , FastAPI , or AWS SageMaker . Configuration and management of cloud services such as AWS EC2 , RDS , S3 , Load Balancers , and WAF , supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key : Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,100,000.00 per year Schedule: Day shift Monday to Friday

Overview Do you want to work in a fun and supportive environment? At erwin by Quest we know that companies with a strong positive culture perform so much better. That is why every day we strive to create a collaborative and inclusive working environment where our people can feel empowered to succeed. erwin by Quest is an award-winning Data Modelling software provider offering a broad selection of solutions that solve some of the most common and most challenging Data Governance problems. We are currently looking for Software Dev Engineer to join us. Responsibilities Write clean, reusable, and efficient code following best practices. Takes ownership of their work and consistently delivers results in a fast-paced environment. Work closely with the team in an agile and collaborative environment. Troubleshoot and resolve software defects and performance issues. Qualifications A minimum of 2-5 Years of Full Stack Java Development experience. Strong knowledge of Data Structures and Algorithms, System Design. Expertise in Java 8+ and its modern features (eg, Streams, Lambda Expressions, Optional, Functional Interfaces) Hands-on experience building enterprise-grade applications using Java, Spring Framework (Spring Boot, Spring JDBC, Spring Security) Proficiency in Spring Boot for building microservices and RESTful APIs is a plus. Experience with Spring Core, Spring MVC, Spring Data, and Spring Security. Understanding of dependency injection Strong knowledge of SQL databases like Postgres, SQL Server. Experience with JPA/Hibernate for ORM and understanding of database optimization techniques, query performance tuning, and designing efficient models. Proficiency in designing RESTful APIs and working with API specifications and documentation tools like Swagger/OpenAPI Experience with OAuth 2.0, JWT for authentication and authorization mechanisms. Strong knowledge of React, Redux Toolkit (Optional) Expertise in building and optimizing applications with React functional components and leveraging React Hooks for state and side effects management Provider in React and Context API Strong hands-on experience with TypeScript for building type-safe React applications. Deep understanding of TypeScript features like interfaces, generics, type inference, etc Strong understanding of semantic HTML and modern CSS for responsive design Familiarity with Material UI and Tailwind CSS for building modern, user-friendly, and scalable UI components. Proficiency with Git and working with branching strategies Experience with optimizing application performance, including JVM tuning, caching strategies, and improving query performance in databases Strong understanding of security best practices for both frontend and backend, including secure coding and protecting APIs. Familiarity with cloud services (Azure, AWS, GCP) is a plus. Company Description At Quest, we create and manage the software that makes the benefits of new technology real. Companies turn to us to manage, modernize and secure their business, from on-prem to in-cloud, from the heart of the network to the vulnerable endpoints. From complex challenges like Active Directory management and Office 365 migration, to database and systems management, to redefining security, and hundreds of needs in between, we help you conquer your next challenge now. We’re not the company that makes big promises. We’re the company that fulfills them. We’re Quest: Where Next Meets Now. Why work with us! Life at Quest means collaborating with dedicated professionals with a passion for technology. When we see something that could be improved, we get to work inventing the solution. Our people demonstrate our winning culture through positive and meaningful relationship. We invest in our people and offer a series of programs that enables them to pursue a career that fulfills their potential. Our team members’ health and wellness is our priority as well as rewarding them for their hard work. Quest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Come join us. For more information, visit us on the web at http://www.quest.com/careers . Connect With Us! Not ready to apply? Connect with us for general consideration.

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance's smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. About InMobi Demand Side Platform (DSP) InMobi DSP is growing rapidly as the preferred platform for mobile app marketers globally, with investments in proprietary AI models, privacy-first architecture, and deep performance capabilities. As the Director of Product Management for AI/ML, you'll have the opportunity to shape the brain of the DSP — working on cutting-edge problems in advertising, optimization, and personalization. Overview of role We are looking for a visionary and execution-focused Director of Product Management to lead the evolution of the AI/ML stack that powers InMobi's Demand Side Platform (DSP) . This person will play a pivotal role in shaping the intelligence that drives campaign performance, optimization, and decisioning at scale across billions of ad requests per day. This is a high-impact leadership role that sits at the heart of our DSP growth strategy. You will lead the product charter for areas such as bid prediction models, budget pacing, ad engagement models, targeting engines, A/B experimentation platforms, real-time inference infrastructure and underlying data and intelligence stacks. You will directly influence revenue by shaping how DSP Platform delivers on advertisers and agency performance marketing objectives and grow our share of wallet in their growth budgets. You will define the InMobi's competitive edge in mobile performance advertising through a differentiated AI/ML platform. This role reports to the VP of Product for InMobi DSP and works cross-functionally with Data Science, engineering, Trading, Product marketing, and our GTM teams. You'll be a key driver of strategy and execution as we build the platform for next orbit of growth across mobile app and web. This role is on-site based in our Bangalore office and may include quarterly travel to our Bay Area office. Key Responsibilities Own and drive the product roadmap for all AI/ML engines powering InMobi DSP's performance and efficiency. Partner closely with Data Science, Engineering, Trading, Sales, and GTM teams to define, prioritize, and deliver features that improve advertiser outcomes (CPI, ROAS, LTV). Define clear product requirements and success metrics for machine learning models (e.g., CTR prediction, user scoring, conversion models). Guide the evolution of our model training pipelines, feature stores, user identities, real-time inference, and feedback loops for continual learning. Evangelize the data and signals collection, standardization, retention across the InMobi group in a Privacy-first manner Translate business strategy into ML product strategy that balances innovation with operational rigor Drive adoption of AI/ML models across the business stakeholders Build a strong culture of experimentation and data-driven product development What We're Looking For Experience 8-12 years of experience in Product Management, with at least 5 years building AI/ML-based products (preferably in the AdTech or performance marketing domain) Proven experience working with large-scale distributed systems, ML pipelines, or real-time decision engines Good understanding of programmatic advertising ecosystem Prior experience with ML infrastructure products is a plus. Technical Fluency Solid grasp of machine learning concepts, including supervised learning, reinforcement learning, data and model drifts, experimentation frameworks, etc. Experience working with data science teams to convert models into production systems. Familiarity with MLOps, real-time inference, A/B testing platforms, and feature engineering pipelines. Functional & Leadership Skills Strategic thinking and ability to align AI/ML roadmap with business goals. Strong analytical mindset and data fluency to define and evaluate product success. Excellent written and verbal communication skills; ability to influence across functions and seniority levels. Passion for mentoring and building high-performance product teams Bias for action, and a passion for building in fast-paced, cross-functional environments The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom – guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

Job Title: Python Developer – Generative AI Location: Bangalore (Night Shift) Experience: 4+ Years Shift: Night Shift Employment Type: Full-Time About the Role We are seeking an experienced and innovative Python Developer with expertise in Generative AI to work in a night shift capacity. You will design, develop, and deploy intelligent AI-powered systems using cutting-edge LLMs and generative models. The ideal candidate thrives in fast-paced environments and is passionate about leveraging AI to solve real-world problems. Key Responsibilities Build and maintain Python-based APIs and backends integrated with Generative AI models. Work with large language models (e.g., GPT, Claude, LLaMA) and image/audio generation tools (e.g., DALL·E, Stable Diffusion). Implement prompt engineering, fine-tuning, and model deployment pipelines. Collaborate with global teams during night shift hours to develop scalable AI features. Deploy models using FastAPI, Flask, Docker, or cloud platforms. Optimize model performance for latency, accuracy, and scalability. Ensure testing, monitoring, and documentation of AI integrations. Required Skills 4+ years of Python development experience. 1+ years of hands-on experience with Generative AI tools and models. Strong knowledge of PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API. Experience with deployment (Docker, FastAPI), and model inference in production. Familiarity with vector databases (FAISS, Pinecone, Weaviate). Preferred Skills Experience with GPU-based training or inference. Exposure to MLOps tools like MLflow, Airflow, or Kubeflow. Understanding of AI ethics, model safety, and bias mitigation. Contributions to open-source GenAI or ML projects. Job Types: Full-time, Permanent Pay: ₹1,089,300.86 - ₹1,660,283.26 per year Benefits: Health insurance Provident Fund Schedule: Night shift Work Location: In person

Job Information Date Opened 06/23/2025 Job Type Full time Industry Consulting City Noida State/Province Uttar Pradesh Country India Zip/Postal Code 201301 Job Description What impact will you make? As the GenAI Solution Architect, you will lead the organization’s strategic vision for GenAI and Agentic AI solutions, driving innovation through advanced AI technologies. Your leadership will shape the development of AI-driven solutions that deliver high value to the business and its customers, positioning the organization as a leader in leveraging Gen AI Solutions. Work you’ll do Primary Responsibilities and Daily Tasks Design and Implement Agentic AI Architectures: Develop modular, event-driven systems for autonomous agents using modern orchestration tools. Engineer Agent Workflows and Prompt Strategies: Build multi-step agent workflows using contextual memory, prompt chaining, and tool-based reasoning. Integrate AI Agents with Enterprise Platforms: Develop and maintain secure integrations with IAM/ITSM tools like ServiceNow, SailPoint, Saviynt, Okta, and Ping. Optimize Production AI Systems: Tune latency, caching, and inference efficiency in real-world deployments, using tools like LangSmith. Lead Technical Initiatives and Evaluate Tools: Assess new GenAI tooling, mentor developers, enforce standards, and guide system scalability and fault tolerance. Short-term and Long-term Goals Short-term: Rollout and enhance tailored AI Solution implementations Long-term: Develop a scalable AI architecture for continuous improvement in AI methodologies, and position the organization as an innovator in domain-specific AI solutions. Enough about us, let’s talk about you We are looking for a visionary leader with an advanced understanding of Gen AI, Agent Architectures and cloud technologies, capable of defining AI solutions at an enterprise level. Essential Skills and Qualifications Technical Expertise: GenAI Tools & Infrastructure: Hands-on with LangGraph, Semantic Kernel, embedding models, fallback handling, and human-in-loop validation. Agentic AI Frameworks: Expertise in LangGraph, AutoGen, CrewAI, and Python-based orchestration. Production Deployment: Experience in deploying AI agents with real-time inference, within containerized deployments. Security & Access Management: Strong understanding of JWT, OAuth, RBAC, and secure API communication. Performance Monitoring: Skills in using observability tools like LangSmith and implementing tuning mechanisms. LLMs, Vector Stores & Retrieval Frameworks: Proficiency with Chroma, Weaviate, RAG pipelines, and memory modules. Leadership and Communication Skills: Demonstrated ability to lead, mentor, and inspire an engineering team. Excellent communication skills, with the ability to align technical initiatives with organizational objectives.

Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years

🚀 Job Title: AI Engineer (Full Stack / Model Deployment Specialist) Location: Remote (India preferred) Type: Full-Time (6-Month Fixed Contract) Experience Level: 1+ Years Salary: Competitive (based on experience) Potential: High-performing candidates may be offered a permanent role after the contract 🧩 About Us We are a dynamic collaboration between Funding Bay , Effer Ventures , and FBX Capital Partners, three industry leaders combining forces to deliver financial, compliance, and strategic growth solutions to businesses across the UK. We’re looking for an AI Engineer who can bridge the gap between machine learning and production-ready applications. If you love optimizing models, deploying them in real-world environments, and know your way around modern web stacks, this role is for you. 🔧 What You’ll Do End-to-End Ownership of ML Models: From training and evaluation to optimization and deployment. Deploy ML Models using AWS services (EC2, Lambda, S3, SageMaker, or custom Docker setups). Optimize Model Performance: Ensure fast inference, low memory usage, and high-quality results. Integrate AI into MERN Stack Applications: Build APIs and interfaces to expose your models to the frontend. Collaborate Cross-Functionally with frontend, product, and design teams. Build scalable and secure pipelines for data ingestion, model serving, and monitoring. Optimize for Speed & Usability : Ensure both backend inference and frontend UI are responsive and seamless. ✅ What We’re Looking For Proficient in MERN Stack (MongoDB, Express.js, React, Node.js) Strong Python skills , especially for AI/ML (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch etc) Hands-on with Model Optimization : Quantization, pruning, distillation, or ONNX deployment is a plus Solid AWS Experience: EC2, S3, IAM, Lambda, API Gateway, CloudWatch, etc. Experience with Docker & CI/CD pipelines (e.g., GitHub Actions, Jenkins) Comfortable building and consuming REST/GraphQL APIs Familiar with ML deployment tools like FastAPI, Flask, TorchServe, or SageMaker endpoints Good understanding of performance profiling, logging, and model monitoring ⭐ Nice to Have Experience with LangChain , LLMs , or NLP pipelines Startup or fast-paced team background Open-source contributions or live-deployed AI projects 🌱 Why Join Us? Build & deploy real AI products that go live Work in a growth-focused, high-ownership environment 6-month contract with the potential for a Permanent full-time Flexible work culture & flat hierarchy Learn fast and build faster with founders and builders Take ownership of core parts of the AI stack Competitive compensation based on experience 📬 To Apply Send us: Your resume A link to your GitHub or portfolio A short paragraph about a project where you deployed an optimized AI model 📧 Email: developer@fundingbay.co.uk or directly apply

BIMCAP Private Limited BIMCAP is an international BIM outsourcing company with an expanding portfolio of cultural, infrastructure, and commercial projects around the world. We are leaders in BIM innovation, growth of BIM talents, and unique for our supportive family-like culture that expanded from Hong Kong to Netherlands, England, Germany, Hungary, Spain, and Philippines. This role is based out of Bhilai, Chhattisgarh, for BIMCAP’s subsidiary company registered as Ecliptiko Private Limited . Job Summary We are looking for a driven and curious AI Engineer with hands-on experience in Large Language Models (LLMs). In this role, you’ll work on end-to-end development and deployment of LLM-based solutions, including prompt engineering, model fine-tuning, and cloud-based deployment. You’ll collaborate closely with product and engineering teams to build intelligent, scalable, and secure AI-powered systems. Key Responsibilities Design, develop, and optimize prompt strategies for LLM-based applications. Fine-tune pre-trained models (e.g., OpenAI, Hugging Face, etc.) using custom datasets. Build and deploy LLM-powered APIs and services in cloud environments (AWS, GCP, or Azure). Integrate LLMs into applications with efficient inference and cost-aware strategies. Conduct evaluations, benchmarking, and A/B testing for LLM outputs. Collaborate on data collection, preprocessing, and feature engineering tasks. Stay up to date with the latest in GenAI research and toolchains. Requirements 2+ years of industry experience in AI/ML or related fields. Strong grasp of NLP concepts, transformers, and recent LLM developments. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar). Experience with prompt engineering and prompt evaluation. Hands-on experience with cloud platforms (AWS/GCP/Azure), Docker, and CI/CD. Familiarity with APIs and SDKs of major LLM providers (e.g., OpenAI, Cohere, Anthropic). Understanding of data privacy, security, and ethical considerations in AI. Preferred Qualifications Experience with tools like LangChain, LlamaIndex, or Vector DBs (e.g., FAISS, Pinecone). Exposure to Retrieval-Augmented Generation (RAG) systems. Knowledge of MLOps best practices and ML model lifecycle management

JD – AI/ML Engineer This is a full-time position with D Square Consulting Services Pvt Ltd Required Experience - 6-7 years Location – Bangalore Work mode - Onsite The candidate who can join within 30 days Job Summary The AI/ML Engineer will lead end-to-end design, development, and deployment of advanced, value-driven AI/ML solutions for digital marketing and analytics. Drive innovation, leverage cutting-edge techniques, and standardize multi-cloud model deployment through collaboration, delivering profound data insights. Required Qualifications- Bachelor’s degree (or higher preferred) in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with emphasis on quantitative methods. 6-7 years’ experience in software engineering with deep, hands-on expertise in the full lifecycle of ML model development, deployment, and operationalization. Demonstrated ability to write highly robust, efficient, and scalable Python, Java, Spark, and SQL code, adhering to industry best practices. Extensive experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and advanced deep learning libraries, including optimization. Strong, in-depth understanding of diverse ML algorithms (e.g., advanced regression, classification, clustering, RNNs, CNNs, transformers, time series, reinforcement learning), sophisticated data structures, and enterprise software design. Significant experience deploying and managing AI/ML models on major cloud platforms (Azure, AWS, GCP). Proven experience with LLMs and generative AI (fine-tuning, prompt engineering, deployment) is highly desirable. Exceptional problem-solving skills in a fast-paced, collaborative remote environment. Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence diverse global teams remotely. Experience with classification, time series forecasting, customer lifetime value models, LLMs, and generative AI, preferably from the Retail, e-commerce, or CPG industry. Responsibilities- Lead cross-functional teams to deliver and scale complex AI/ML solutions (DL, NLP, optimization). Architect, design, develop, train, and evaluate high-performance, production-ready AI/ML models, ensuring scalability and robustness. Drive implementation, deployment, and maintenance of AI/ML solutions, optimizing inference, and documenting processes. Oversee data exploration, advanced preprocessing, complex feature engineering, and robust data pipeline development. Establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models to ensure accuracy and reliability. Partner with senior stakeholders to translate business requirements into scalable AI solutions that deliver measurable value. Act as a primary SME on AI/ML model development, MLOps, and deployment, influencing global data science platforms. Continuously research and champion the adoption of the latest AI/ML technologies, algorithms, and best practices to maximize business value. Foster innovative thinking and continuous improvement, seeking superior ways of working for teams and partners.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Location: Hyderabad Staff Engineer (AISW) Job Location: Hyderabad More Details Below About the team: Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Responsibilities In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Work Experience 9+ years of relevant work experience in software development. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals. Strong development & programming skills in C and C++. Experience with embedded systems development or equivalent. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Experience in embedded system development. Experience in C, C++, OOPS and Design patterns. Experience in Linux kernel or driver development is a plus. Strong OS concepts. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072736

We are seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL

Job Description Job responsibilities: Perform QA for polymer components including dimensional measurements, mechanical strength, thermal performance, and morphological characterization. Conduct ageing tests at coupon-level and product-level with propellant to assess and predict shelf life. Build and maintain relationships with vendors during product development and testing. Track and manage materials—including inventory control, proper storage, and handling protocols. Ensure the proper functioning and maintenance of the experimental instruments used for the polymer QA including regular calibration, inspection of working conditions, and accuracy of the instruments. Identify the scope of product quality improvement opportunities from raw materials to finished products. Modify formulations to enhance compatibility and shelf life with propellants. Perform literature reviews and hands-on experiments to solve technical problems. Identify, analyze, and evaluate problem statements related to product development and functioning. Create technical reports and presentations on experimental findings to document. Ensure proper documentation of daily experiments and findings. Collaborate across departments and thorough understanding of the requirements and problem statements. Education and/or experience: Candidates must have successfully completed their master's degree in the relevant course including Polymer Science, Polymer Chemistry, and Physical Chemistry from an accredited college. Candidates have significant practical and theoretical knowledge or experience in handling synthetic elastomers and engineering plastics Knowledge, Skills, and Abilities Hands-on experience in the formulation and QA of elastomers. Skill in operating and maintaining various polymer QA instruments including hardness, UTM, specific gravity, compression set, etc. Significant knowledge in polymer characterization techniques including SEM-EDX, ATR-FTIR, chromatographic and spectroscopic techniques. Theoretical and practical knowledge in QA/QC, shelf-life determination of the polymers Experience in safely handling chemicals, with knowledge in handling acids, alkalis, solvents, oxidizers, their interactions, hazard identification, production methods, and disposal procedures. Efficient in handling and maintenance of experimental documents and effectively documenting the observation and inference from the experiments Ability to maintain the cleanliness and follows the laboratory protocols Knowledge of polymer based propellant management devices used in aerospace applications. Hands-on skills in conducting tests and troubleshooting within a laboratory setting. Proficient in effectively communicating technical problems and concepts to both technical and non-technical audiences through written documents, visual presentations, and oral communication strategies. Physical Requirements/Working Conditions: On foot in the lab experiments needs to be performed, working with chemicals and polymer test equipment If you are interested in building your career in the field of space or would like to explore options in the same, then this would be the best opportunity to give it a shot at our company. Do contact us for more information. Company Website and LinkedIn: https://www.manastuspace.com/https://www.linkedin.com/company/manastu-space/ Contact information: careers@manastuspace.com

Job Description: MLOps Engineer / ML Platform Engineer Location: [Remote / Gurgaon] Experience: 3-7 years Type: Full-time About the Role: We are looking for a passionate and skilled MLOps Engineer to design, implement, and manage scalable ML infrastructure and pipelines. You will work closely with Data Scientists, ML Engineers, and DevOps to ensure smooth experimentation, model deployment, and lifecycle management using modern tools and cloud-native technologies. Key Responsibilities: - Design and implement CI/CD pipelines for ML workflows using GitHub Actions, Jenkins, or ArgoCD - Build and manage containerized ML applications using Docker and deploy on Kubernetes - Automate end-to-end ML pipelines using Kubeflow or similar workflow orchestration tools - Track model lifecycle, parameters, and metrics using MLflow - Collaborate with ML teams to enable reproducible and version-controlled training and deployment - Implement monitoring, logging, and rollback mechanisms for ML models in production - Optimize resource allocation and scaling using Kubernetes-native solutions Must-Have Skills: - 3+ years of experience in DevOps, MLOps, or cloud-native infrastructure roles - Hands-on with Kubernetes and Docker for orchestration and deployment - Proficient in building CI/CD pipelines (GitHub Actions, Jenkins, etc.) - Strong understanding of MLflow for experiment tracking and model registry - Experience with Kubeflow or similar ML workflow orchestration tools - Knowledge of Python and shell scripting - Familiarity with cloud platforms (AWS, GCP, or Azure) Good to Have: - Exposure to infrastructure-as-code (e.g., Terraform, Helm) - Understanding of feature stores, model monitoring tools (e.g., Evidently, Prometheus)- Knowledge of data versioning tools (e.g., DVC) What We Offer: - Opportunity to build and scale cutting-edge ML infrastructure - Collaborative and fast-paced environment - Learning budget for certifications, conferences, and courses - Remote-friendly and flexible work culture At Bern AI Lab , we're building the next generation of AI-native systems: modular, agentic, and production-ready. Our mission is to empower enterprises with intelligent infrastructure that not only understands but evolves. From cutting-edge MLOps to scalable LLM applications, we help companies move beyond pilots into production with confidence. We’re a team of engineers, researchers, and builders obsessed with pushing the boundaries of what’s possible with AI. Whether it’s automating model lifecycle management or designing real-time inference systems, we operate at the intersection of machine learning, systems engineering, and modern DevOps. If you're excited by clean abstractions, real-world scale, and working on problems no one has solved yet, we’d love to hear from you. To Apply: Apply over LinkedIn and send your resume and GitHub/portfolio to talent@bernailab.com

We are seeking a hands-on Solution Architect / Tech Owner with deep expertise in building and scaling Data & AI products end-to-end. This role demands a strong foundation in cloud-native architecture (AWS) , machine learning (ML) , LLM-based GenAI integration , and a design thinking mindset to translate business needs into resilient, high-performance solutions. The ideal candidate has led the technical delivery of scalable GenAI platforms, architected modular backend systems and frontend interfaces, and built ML pipelines in production environments. You will be responsible for owning system design, guiding technical teams , deploying full-stack infrastructure, and ensuring robust governance and security across all layers. Key Responsibilities Architect and deliver end-to-end GenAI platforms using AWS (ECS, RDS, Lambda, S3) with real-time LLM orchestration and RAG workflows. Design and implement Python microservices with Redis caching and vector search using Qdrant or Redis Vector . Integrate GenAI models and APIs (OpenAI, HuggingFace, LangChain,LangGraph), including containerized inference services and secured API pipelines. Lead frontend architecture using Next.js (TypeScript) with SSR and scalable client-server routing. Own infrastructure automation and DevOps using Terraform, AWS CDK, GitHub Actions , and Docker-based CI/CD pipelines. Manage and optimize data architecture across Snowflake , PostgreSQL (RDS), and S3 for both analytical and transactional needs. Knowledge of database pipeline and data quality , transitioning legacy systems to modular, cloud-native deployments. Champion engineering culture , leading design/code reviews, mentoring team members, and aligning technical priorities with product strategy. Ensure compliance, encryption, and data protection via AWS security best practices (IAM, Secrets Manager, WAF, API Gateway). Ideal Candidate Profile Proven track record as a Solution Architect / Tech Lead on large-scale Data & AI products with GenAI integration. Deep knowledge of AWS cloud services , microservices architecture, and full-stack deployment. Strong understanding of ML lifecycle and productionization of LLMs / GenAI APIs . Practical experience with design thinking , breaking down problems from user need to system delivery. Excellent leadership, communication, and mentoring skills to drive team alignment and technical execution.

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. About InMobi Demand Side Platform (DSP) InMobi DSP is growing rapidly as the preferred platform for mobile app marketers globally, with investments in proprietary AI models, privacy-first architecture, and deep performance capabilities. As the Director of Product Management for AI/ML, you’ll have the opportunity to shape the brain of the DSP — working on cutting-edge problems in advertising, optimization, and personalization. Overview Of Role We are looking for a visionary and execution-focused Director of Product Management to lead the evolution of the AI/ML stack that powers InMobi's Demand Side Platform (DSP) . This person will play a pivotal role in shaping the intelligence that drives campaign performance, optimization, and decisioning at scale across billions of ad requests per day. This is a high-impact leadership role that sits at the heart of our DSP growth strategy. You will lead the product charter for areas such as bid prediction models, budget pacing, ad engagement models, targeting engines, A/B experimentation platforms, real-time inference infrastructure and underlying data and intelligence stacks. You will directly influence revenue by shaping how DSP Platform delivers on advertisers and agency performance marketing objectives and grow our share of wallet in their growth budgets. You will define the InMobi’s competitive edge in mobile performance advertising through a differentiated AI/ML platform. This role reports to the VP of Product for InMobi DSP and works cross-functionally with Data Science, engineering, Trading, Product marketing, and our GTM teams. You’ll be a key driver of strategy and execution as we build the platform for next orbit of growth across mobile app and web. This role is on-site based in our Bangalore office and may include quarterly travel to our Bay Area office. Key Responsibilities Own and drive the product roadmap for all AI/ML engines powering InMobi DSP's performance and efficiency. Partner closely with Data Science, Engineering, Trading, Sales, and GTM teams to define, prioritize, and deliver features that improve advertiser outcomes (CPI, ROAS, LTV). Define clear product requirements and success metrics for machine learning models (e.g., CTR prediction, user scoring, conversion models). Guide the evolution of our model training pipelines, feature stores, user identities, real-time inference, and feedback loops for continual learning. Evangelize the data and signals collection, standardization, retention across the InMobi group in a Privacy-first manner Translate business strategy into ML product strategy that balances innovation with operational rigor Drive adoption of AI/ML models across the business stakeholders Build a strong culture of experimentation and data-driven product development Experience What We’re Looking For 8-12 years of experience in Product Management, with at least 5 years building AI/ML-based products (preferably in the AdTech or performance marketing domain) Proven experience working with large-scale distributed systems, ML pipelines, or real-time decision engines Good understanding of programmatic advertising ecosystem Prior experience with ML infrastructure products is a plus. Technical Fluency Solid grasp of machine learning concepts, including supervised learning, reinforcement learning, data and model drifts, experimentation frameworks, etc. Experience working with data science teams to convert models into production systems. Familiarity with MLOps, real-time inference, A/B testing platforms, and feature engineering pipelines. Functional & Leadership Skills Strategic thinking and ability to align AI/ML roadmap with business goals. Strong analytical mindset and data fluency to define and evaluate product success. Excellent written and verbal communication skills; ability to influence across functions and seniority levels. Passion for mentoring and building high-performance product teams Bias for action, and a passion for building in fast-paced, cross-functional environments The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom – guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

About The Role We are looking for an experienced Senior AI Engineer to lead the development of scalable AI-driven systems that power next-generation Customer Support Copilots . This role focuses on building and integrating models for text, translation, image, and audio processing , with a strong emphasis on production-grade deployments, API integration, and intent/sentiment understanding. The ideal candidate is a hands-on engineer with a deep understanding of AI technologies and strong backend development experience. You will work at the intersection of AI and system design, ensuring our AI services are robust, scalable, and production-ready. Requirements Key Responsibilities Design and develop AI-powered systems for multilingual translation, image understanding, audio transcription, and sentiment/intent analysis Improve and optimize classification models for intent detection and sentiment analysis in real-world support conversations Develop and maintain REST APIs, webhooks, and real-time data pipelines using Kafka Build scalable microservices for AI model inference, training, and retraining pipelines Collaborate with ML researchers and product teams to translate prototypes into robust applications Deploy and manage AI services in containerized environments using Docker and Kubernetes Integrate with databases like YugabyteDB, Snowflake, and other storage backends for feature storage and logging Monitor performance, reliability, and scalability of AI systems in production Required Skills And Qualifications 5+ years of experience in software engineering with at least 3+ years in AI/ML systems Strong proficiency in Python for backend and ML development Solid experience working with NLP/NLU, audio processing, image models, or translation models Good understanding of intent classification, sentiment analysis, and multimodal AI systems Proficiency in building and scaling APIs, integrating webhooks, and managing Kafka-based messaging pipelines Hands-on experience with Docker, Kubernetes, and CI/CD workflows Strong understanding of microservices architecture and scalable system design Familiarity with databases like PostgreSQL, Yugabyte, and Snowflake Experience with cloud platforms (AWS/GCP/Azure) Preferred Qualifications Working knowledge of Clojure or interest in functional programming paradigms Background in customer support, conversational AI, or AI copilots Experience integrating audio transcription models (e.g., Whisper), image analysis models, or multilingual translation APIs Exposure to MLOps and LLMOps practices Benefits Hybrid setup Worker's insurance Paid Time Offs Other employee benefits to be discussed by our Talent Acquisition team in India Closing: Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status. Privacy Notice By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: Experience level is 0-5 years /freshers, with a a strong GIT repository can apply for this job. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

Title: Senior Al/ ML Engineer. (5- 7 years of Experience) Job Location: Hyderabad, Telangana Job type: permanent Work Mode: Onsite Need only Immediate Joiners- Notice period profiles are not accepted this time. Description Our client is seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure. If you’re passionate about combining NLP, deep learning, and real-world applications at scale, this is the role for you. A minimum of 3 years of specialized experience in AI/ML is required. Core Skills & Technologies LLM Ecosystem & APIs OpenAI, Anthropic, Cohere Hugging Face Transformers LangChain, LlamaIndex (RAG orchestration) Vector Databases & Indexing FAISS, Pinecone, Weaviate AWS-Native & ML Tooling Amazon SageMaker (training, deployment, pipelines) AWS Lambda (event-driven workflows) Amazon Bedrock (foundation model access) Amazon S3 (data lakes, model storage) AWS Step Functions (workflow orchestration) AWS API Gateway & IAM (secure ML endpoints) CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage) Languages & ML Frameworks Python (primary), PyTorch, TensorFlow NLP, RAG systems, embeddings, and prompt engineering What You’ll Do • Model Development & Tuning o Designs architecture for complex AI systems and makes strategic technical decisions o Evaluates and selects appropriate frameworks, techniques, and approaches o Fine-tune and deploy LLMs and custom models using AWS SageMaker o Build RAG pipelines with LlamaIndex/LangChain and vector search engines • Scalable AI Infrastructure The architect distributed model training and inference pipelines on AWS o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM • Product Integration o Leads development of novel solutions to challenging problems o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints • Rapid Experimentation o Prototype multimodal and few-shot learning workflows using AWS services o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines • Data & Impact Analysis o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance • Cross-Team Collaboration o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning o Mentors junior engineers and provides technical leadership Who You Are • Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs • AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock) • Product-Minded: You care about user experience and turning ML into real-world value • Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats • Mission-Aligned: Passionate about education, human learning, and AI for good Bonus Points • Hands-on experience fine-tuning LLMs or building agentic systems using AWS • Open-source contributions in AI/ML or NLP communities • Familiarity with AWS security best practices (IAM, VPC, private endpoints)

Job Title: Senior Data Engineer Experience: 8–12 Years Location: Remote Key Responsibilities: Design, build, and maintain scalable data pipelines using Databricks and Apache Spark. Develop and maintain robust data architecture and ETL/ELT frameworks for structured and unstructured data. Collaborate with Data Scientists and ML Engineers to enable end-to-end ML model pipelines - from data ingestion and feature engineering to model deployment and monitoring. Ensure data quality, integrity, and governance across various data sources and systems. Optimize data processing jobs for performance and cost-effectiveness in cloud environments (preferably Azure or AWS). Implement best practices for CI/CD, data versioning, and workflow orchestration (e.g., using Airflow, MLflow, Delta Lake, etc.). Required Skills and Qualifications: 8–12 years of experience in data engineering, with a strong background in big data technologies. Expertise in Databricks, Apache Spark, Delta Lake, and associated cloud data services. Solid experience in designing and implementing data lakehouses, data warehouses, and real-time/streaming data pipelines. Proficient in Python, SQL, and at least one cloud platform (Azure preferred; AWS/GCP also acceptable). Strong understanding of ML lifecycle, including feature stores, model training, and inference pipelines. Hands-on experience integrating and scaling AI/ML models in production environments. Experience with CI/CD tools, infrastructure as code, and version control (e.g., Git, Terraform).

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Senior Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com . Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Thermo Fisher Scientific Inc. is the world leader in serving science, with an annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving sophisticated analytical challenges, growing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our distributed team of more than 130,000 colleagues delivers an unrivalled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com. About The Role We are seeking a versatile and highly skilled Software Development Test Engineer with 2–5 years of hands-on experience across DevOps, Github, Docker, Helm, K8, Scripting. This is a great opportunity to work on innovative systems involving AI/ML model serving (e.g., NVIDIA Triton), high-performance computing, and distributed services. You will be responsible for testing, and maintaining robust software solutions that work with hardware, cloud infrastructure, and services running at scale. Key Responsibilities Design, develop and maintain test environment for AI Deployment solutions. Integrate and optimize model inference using NVIDIA Triton running Inference Server. Work closely with hardware systems like Nvidia Orin/Jetson running using Linux to diagnose, fix, and optimize hardware-software interactions. Collaborate with multi-functional teams to define system architecture and deliver end-to-end solutions. Write clean, maintainable, and well-tested code following standard methodologies. Continuously supervise and improve system performance, reliability, and scalability. Required Skills And Qualifications 2–5 years of experience in DevOps, GitHub, Docker, Helm, K8, scripting. Experience in test automation, TDD/BDD and manual testing. ISTQB certification will be a plus. Experience developing and deploying microservices, particularly with gRPC. Solid understanding of CI/CD pipelines and DevOps standard methodologies. Comfortable working in Linux-based environments and interfacing with hardware components. Strong debugging, performance tuning, and hardware solving skills.