60 Ai Models Jobs

Responsibilities Job Responsibilities: * Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency * Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. * Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security * Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables * Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement * Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides * Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based AI platforms, such as AWS or Azure* Knowledge of containerization technologies, such as Docker* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)* Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->GoLearn Technology->Machine Learning->Generative AI Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI* Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering* Excellent communication, teamwork, problem-solving, and leadership skillsTech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, KafkaSoft Skill: Communication, Team Work, Problem Solving Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Deliver No.Performance ParameterMeasure 1. Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created 2. Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation 3. Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external) Mandatory Skills: Generative AI.

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. JD -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. Build, train, and fine-tune LLMs to work with Microsoft Co-pilot and Open Azure AI. Utilize the Azure Samples Graph RAG Accelerator to accelerate Required Candidate profile exp in developing and deploying AI models, specifically Graph RAG and LLMs. exp with Microsoft Azure, including Azure AI and related services. Azure Samples Graph RAG Accelerator is highly

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background : Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience : 2 - 11 Years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI : Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning : Algorithms, Deep Learning, Neural Networks Programming : Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps : Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) ? Data Engineering : Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: BRING YOUR PASSION AND FUN . Corporate culture woven from highly diverse perspectives and insights. BALANCE WORK AND PERSONAL TIME LIKE A BOSS . Resources and flexibility to more easily integrate your work and your life. BECOME A CERTIFIED SMARTY PANTS . Ongoing training and development opportunities for even the most insatiable learner. START-UP SPIRIT (Good ten plus years, yet we maintain it) FLEXIBLE WORKING HOURS

6+ years of experience in BI development with Tableau. Exp in integrating Tableau with APIs. Exposure to work on plugin or integration Exp in embedded analytics. Exp in connecting tableau with React JS Exp working with data warehouses (AWS, Azure).

AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models LangChain: Proficient in using LangChain for building LLM-powered applications Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter Feature Engineering: Strong background in feature engineering and data intelligence extraction Data Handling: Comfortable with structured, semi-structured, and unstructured data Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks Location-Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency Who you are & how you can contribute? We are looking for highly skilled and detail-oriented Python Developer with exceptional abilities in analytical thinking, comprehension, and problem-solving If this describes you, we are excited to offer you an incredible opportunity to work remotely as a freelancer Join us in contributing to the creation of data that powers the training of advanced AI models Role & Responsibilities: Help in the training of an AI assistant model to enhance its accuracy and performance Evaluate the model's responses across multiple dimensions to ensure quality and relevance Maintain high standards of speed and precision while assessing the model's responses Must Required Traits: Strong attention to detail Ability to carefully follow instructions Excellent proficiency in English Location: Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Who you are & how you can contribute? We are looking for highly skilled Strucrural Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Review and annotate AI-generated structural and civil engineering solutions Assess blueprints and construction-related AI outputs Ensure AI models generate accurate and logical engineering designs Must Required Traits: Strong academic background in Civil Engineering (BSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail Location: Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Who you are & how you can contribute? We are looking for highly skilled Structural Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance Key Responsibilities: Review and annotate AI-generated structural and civil engineering solutions Assess blueprints and construction-related AI outputs Ensure AI models generate accurate and logical engineering designs Must Required Traits: Strong academic background in Civil Engineering (MSc preferred) Teaching, tutoring, or content creation experience in the field is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail Location: Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

GEN AI Consultant 4+Yrs(Hand on exp in GEN AI+ML) Upto 20L, BLR,Pune 7+Yrs(Hand on exp in GEN AI+ML) Upto 35L BLR,Pune,Chennai,Jaipur Skills:Gen AI,AI models,AI frameworks,Python,Any Cloud mansikohliimaginator@gmail.com Required Candidate profile Cloud platforms IBM Cloud, AZURE Cloud, Google Cloud, and AWS. Frameworks Flask, Django, Nginx + Gunicorn, Docker, Kubernetes, SCM (Git),DevOps (CI/CD) Tools such as Prometheus, MLflow, Grafana.

Design, develop, and optimize prompts to improve user interactions with AI models and tools. Collaborate with cross-functional teams to integrate prompt engineering capabilities into various applications. Implement and maintain high-quality prompt solutions within CoPilot Studio, ensuring alignment with user experience goals. Utilize the Azure Communication Framework to enhance AI model performance in real-world applications. Continuously test, evaluate, and refine prompt workflows to ensure effectiveness and efficiency. Document prompt design processes, testing protocols, and configuration guidelines to support operational consistency. Provide support in troubleshooting and resolving prompt-related issues. Design, develop, and optimize prompts to improve user interactions with AI models and tools. Collaborate with cross-functional teams to integrate prompt engineering capabilities into various applications. Implement and maintain high-quality prompt solutions within CoPilot Studio, ensuring alignment with user experience goals.

Job Title: DevOps ( AIOps ) Location: Pune/Bangalore/Chennai/Coimbatore Experience: 5 to 8 Years Work Mode: WFO (FTE) Notice Period: Immediate to 15 days Mandatory Skills: DevOps, AIOps, AI Models, Terraform, Kubernetes, Docker, Python or Bash, CI/CD. Key Responsibilities: Design and implement AI infrastructure, including model deployment pipelines, monitoring systems, and automated workflows. Optimize and tune AI models for performance, scalability, and efficiency in production settings. Stay up-to-date with the latest advancements in AI Ops, DevOps, and cloud technologies, and recommend their adoption to improve efficiency and effectiveness. Desired Skillset: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with containerization technologies such as Docker and orchestration tools like Kubernetes. Solid understanding of GPU usage and management along with networking, security Proficiency in scripting and programming languages like Python and Bash o Familiarity with CI/CD tools (e.g., GitLab CI/CD) and configuration management tools (Terraform). Understanding of AI concepts, machine learning frameworks, and model deployment techniques Technical Skills (Must have) Cloud Platforms: Experience with AWS, Azure or Google Cloud. GPU Management: Knowledge of GPU usage, networking, and security. Containerization: Proficiency in Docker and Kubernetes. Scripting & Programming: Skills in Python and Bash. CI/CD & Configuration Management: Familiarity with GitLab CI/CD and Terraform. AIOps: AI model deployment techniques, monitoring systems, automated workflows. Optimizing & performance tuning of AI models for production. If anyone are intrested please share your updated resume (soniyak@upwardiq.com) Please fill the below details: Total Experience: - Relevant Experience: - Exp in AWS- Exp in DevOps - Exp in AIOps - Exp in Ai Tools- Exp in Docker- Exp in Kubernetes- Exp in Python - Exp in CI/CD- Exp in AI Models - Exp in Terraform- Any Certification: - LinkedIn Id: - Current CTC - Expected CTC- Last Working Day/Notice period - Notice period (Negotiable)- Current Location - Preferred Location - Holding Offer - Any Pipelines- (Please mention about your pipelines clearly)- How soon can you join- Reason for leaving previous company- Are you okay with the Location-

Annotation drives AI's capabilitiesIndustries across the board are embracing AI, and the backbone of this revolution is accurate data labeling. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models. Responsibilities: Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation qualityInstructional guidance: formulate clear, effective task instructions for Tolokers Training creation: develop training tasks that guide Tolokers towards excellence Requirements Our ideal candidate:Has great command of English: advanced (C1) / proficiency (C2) / native levelHas a keen eye for detail: precision is paramount in data labelingIs a dedicated performer who recognizes the importance of even routine tasks BenefitsBe part of a significant project for a leading technology company, making a substantial impact on the future of AIEnjoy the flexibility of a part-time, remote role that accommodates your scheduleTry your hand at an AI project and enrich your portfolio with new experiences

Position Overview: We seek a skilled and innovative AI Engineer with background experience in Python, LangChain, AI, ML, and Data Science principles to design, develop, and deploy Agentic AI Agents / Vertical LLM Agents. The ideal candidate will possess extensive experience with LangChain, data science workflows, prompt engineering, retrieval-augmented generation (RAG), and LLM fine-tuning. You will be working to integrate structured and unstructured data into scalable knowledge bases and evaluate systems for continuous improvement. The role involves developing solutions for use cases primarily for UK-based clients and solving industry-specific challenges with cutting-edge AI technologies. Job Type: Full-Time Location: Powai, Mumbai Salary Range: Competitive, based on experience Working Hours: 10:30 am to 7:30 pm Indian Standard Time Days of work: Monday to Friday Key Responsibilities: 1. Knowledge Base Development and Integration Define Knowledge Base Scope: Collaborate with domain experts to identify industry-specific requirements and tasks. Assess and select appropriate structured and unstructured data sources. Data Curation and Organization: Collect and preprocess data from authoritative sources (e.g., research papers, databases, manuals). Structure unstructured data using techniques like knowledge graphs. Implement data cleaning workflows to ensure high-quality input. Knowledge Integration: Embed knowledge bases into LLM workflows using tools like Pinecone, Weaviate, or Milvus. 2. LLM Fine-Tuning Fine-tune LLMs using frameworks such as Hugging Face Transformers or OpenAI APIs. Use domain-specific datasets to adapt base models to specialized industries. Apply transfer learning techniques to enhance model performance for niche applications. Monitor and improve fine-tuned models using validation metrics and feedback loops. 3. Prompt Engineering Design, test, and optimize prompts for industry-specific tasks. Implement contextual prompting strategies to enhance accuracy and relevance. Iterate on prompt designs based on system evaluations and user feedback. 4. Retrieval-Augmented Generation (RAG) Implement RAG workflows to integrate external knowledge bases with LLMs. Develop and optimize embedding-based retrieval systems using vector databases. Combine retrieved knowledge with user queries to generate accurate and context-aware responses. 5. System Integration Build APIs and middleware to interface between the LLM, knowledge base, and user-facing applications. Develop scalable and efficient query-routing mechanisms for hybrid retrieval and generation tasks. Ensure seamless deployment of LLM-powered applications. 6. Validation and Testing Evaluate model responses against domain-specific benchmarks and ground truths. Collaborate with domain experts to refine system outputs. Conduct user testing and gather feedback to improve system performance iteratively. 7. Maintenance and Updates Implement strategies to keep the knowledge base current with periodic updates. Develop monitoring tools to track system performance and identify areas for improvement. Address ethical, regulatory, and privacy considerations (e.g., GDPR, HIPAA compliance). Qualifications: Technical Skills Programming: Strong knowledge of Python and frameworks like Flask, FastAPI, or LangChain for API development. Data Preprocessing: Familiarity with preprocessing pipelines for structured and unstructured data. LLM Proficiency: Experience with LLM platforms such as OpenAI GPT, Hugging Face Transformers, or similar. Knowledge Base Management: Hands-on experience with vector databases (e.g., Pinecone, Milvus, Weaviate) and relational databases (e.g., PostgreSQL, MySQL). Fine-Tuning Expertise: Proficiency in adapting LLMs for specialized domains using domain-specific datasets. RAG Implementation: Practical experience with retrieval-augmented generation workflows. Prompt Engineering: Ability to craft and optimize prompts for complex, context-driven tasks. Soft Skills Strong problem-solving skills and attention to detail. Ability to collaborate effectively with cross-functional teams, including domain experts. Excellent communication and documentation skills. Experience 6+ years of experience in AI/ML roles, focusing on LLM agent development and deployment in recent years. 2 + years would creating AI solution with langChain, experience. Demonstrated experience in designing domain-specific AI systems. Hands-on experience in integrating structured/unstructured data into AI models.

Role description We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential. Experience designing scalable system with Generative AI" and "Exposure to full stack development on .net or Java based platform

LLM tester role : Must Have: Experience testing AI models, especially NLP/LLM models. Familiarity with testing tools and frameworks for LLMs such as Hugging Face, TensorFlow, or OpenAI tools. Hands on Coding Experience (eg Java, Python, C#) Proficiency in using version control systems (e.g., Git). Nice to Have: Strong understanding of model evaluation metrics such as BLEU, ROUGE, perplexity, etc. Experience with adversarial testing, bias detection, and ethical compliance in AI systems. Experience in Selenium/Playwright using Python/Java CI/CD pipelines

Programming Languages: Proficiency in Python for developing and implementing AI models Deep Learning Frameworks: Expertise in TensorFlow, PyTorch, or Keras for building and training CNNs Image Processing Libraries: Familiarity with OpenCV, scikit-image, and PIL for handling medical images Big Data Technologies: Experience with Hadoop, Spark, and SQL for managing large datasets Domain Knowledge Medical Imaging: In-depth understanding of X-ray imaging techniques and interpretation Convolutional Neural Networks: Extensive knowledge of CNN architectures and their applications in image analysis Computer Vision: Strong background in image processing, segmentation, and feature extraction Radiology: Familiarity with common pathologies detectable in chest X-rays, such as pneumonia and pulmonary nodules Role & responsibilities - Develop and implement CNN models for automated detection and classification of abnormalities in chest X-rays - Design and optimize deep learning algorithms for image segmentation, classification, and reconstruction - Collaborate with radiologists and medical professionals to improve model accuracy and clinical relevance - Evaluate and enhance model performance using various metrics and validation techniques Projects and Achievements - Successfully implemented a CNN-based model for pneumonia detection in chest X-rays with high sensitivity and specificity - Developed a deep learning framework for 3D visualization of X-ray data, significantly reducing processing time - Contributed to the creation of computer-aided diagnosis (CAD) systems for pathology image analysis - Implemented data augmentation techniques to improve model generalization across diverse patient populations Preferred candidate profile - Ph.D. or Master's degree in Computer Science, Data Science, or a related field - Certifications in deep learning, such as Deep Learning Specialization from Coursera or similar programs - Continuous learning through workshops, conferences, and online courses in AI and medical imaging In addition, the individual is expected to stay updated with the latest advancements in AI and deep learning for medical image analysis

About The Role : Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)

Annotation drives AI's capabilitiesIndustries across the board are embracing AI, and the backbone of this revolution is accurate data labeling. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models. Responsibilities: Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation qualityInstructional guidance: formulate clear, effective task instructions for Tolokers Training creation: develop training tasks that guide Tolokers towards excellence Requirements Our ideal candidate:Has great command of English: advanced (C1) / proficiency (C2) / native levelHas a keen eye for detail: precision is paramount in data labelingIs a dedicated performer who recognizes the importance of even routine tasks BenefitsBe part of a significant project for a leading technology company, making a substantial impact on the future of AIEnjoy the flexibility of a part-time, remote role that accommodates your scheduleTry your hand at an AI project and enrich your portfolio with new experiences

About The Role : Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)

We are seeking a talented individual to join our Risk consulting team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office We will count on you to: Proactively review all claims (new and old) and establish a plan of action to achieve a favourable claims resolution. Obtain and compile requested loss run data. Analyse data to identify trends and actionable insights. Gather claim-specific details, including claim numbers, adjuster information, and claim statuses. Provide up-to-date status reports on claims. Acknowledge and report on excess claims as necessary. Develop PowerPoint presentations for internal and external stakeholders. Conduct research on relevant topics and present findings. Design and generate surveys to gather stakeholder feedback. Prepare executive summary reports for claim reviews. Facilitate the closure of open liability claims in mClaim. Create and maintain a defence attorney reference database, categorized by jurisdiction. Analyse data lakes to generate insights and KPI reports for performance monitoring. What you need to have: 6-8 years of experience in the General Insurance domain across different types of claims, claims lifecycle and claim data. Graduate or masters in commerce or business administration or any equivalent education programme in Insurance domain. MS Office proficiency (Word, Excel, Outlook, PowerPoint). Strong Excel proficiency. Strong verbal and written communication skills - excellent email writing skills. Must be comfortable with working on new age data management tools What makes you stand out? Strong persistence and follow-up skills. Knowledge and experience of resolving complex claims across a variety of relevant business lines Proficient in data analytics tools, with a strong ability to derive actionable insights from complex datasets. Multilingual capabilities, enabling effective communication and collaboration in diverse environments. Experienced in working with AI models, leveraging advanced technologies to enhance decision-making processes. Proven track record of collaborating with offshore colleagues, fostering teamwork and driving project success across geographical boundaries

We are RadarRadar , experts in the commodity production, trade and processing industry. As a technology company we continuously aim to support our clients with strong data C analytics and business intelligence tools. It is our mission to enable companies to unlock the full potential of their data to improve risk and margin management and boost performance. As a Machine Learning (ML) Engineer you will work alongside an engineering team that builds RadarRadar machine learning tools for our clients. We are looking for an individual with deep experience in designing, implementing, assessing, and refining machine learning models. You love to work- and think progressively, because as first movers we need to stay ahead of market trends and deliver first class products. What will you do: Design and implement ML/AI solutions to optimize and enhance the RadarRadar product suite. Adhering to high quality development principles while delivering solutions on time. Participate in scrum related activities (stand-ups, planning, demo sessions, etc.) Work closely with cross-functional teams, including product, and engineering, to align ML/AI capabilities with business goals. Create technical documentation and specifications for feature integrations. Conduct research/implementation of latest industry standard best practices. Break down, estimate, and implement features containing multiple tasks. Review, assess and improve the full set of activities presented above. What will you bring: 3+ years of professional experience as a ML engineer or a similar role. Proficiency with state-of-the-art ML models and frameworks (e.g., Keras, NumPy, scikit-learn, PyTorch, TensorFlow). Knowledge/interest in current progressions in the AI world and interest in enterprise level development of AI models using LLM APIs (e.g. OpenAI, Gemini, Claude, Anthropic). Expertise in hyperparameter tuning to optimize model performance. Familiarity with Explainable AI (XAI) techniques. Advanced Python programming skills (min. 2 years of experience). T-SQL (SQL Server) proficient level of knowledge (min. 1-2 years), experience working with stored procedures, functions, triggers, indexes, dynamic SQL, query performance tuning. Comfortable with complexity and pursuit of excellent results, willing to learn on the job. A proactive thinker who can work independently and bring innovative ideas. Balances hard skills with interpersonal ability. Strong knowledge of clean code principles. Ability to work in a collaborative manner. What you will get: Rotterdam-based hybrid workplace model A competitive salary and working with an amazing team. Flexible working hours and your own laptop. Friday drinks and (virtual) team events. Company merchandise. An inspiring environment where you learn every day. Personal development plan to help you reach your personal goals.

A Generative AI/ AI engineer is a specialized professional responsible for developing, implementing, and optimizing Generative AI/ AI models and systems. These engineers play a crucial role in harnessing the power of AI to generate creative content, solve complex problems, and create innovative solutions Job Description - Grade Specific The role involves managing the AI (including Gen AI) projects. The role is also responsible for mentoring the junior engineer.

A Day in the Life of an Online Data Analyst: In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the worlds largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements: Full Professional Proficiency in English & Urdu language Being a resident in India for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in India. Ability to follow guidelines and conduct online research using search engines, online maps, and website information Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance Daily access to a broadband internet connection, computer, and relevant software