150 Ai Models Jobs - Page 5

As a Machine Learning Engineer, you will be responsible for designing and implementing end-to-end ML pipelines using GCP services and ETL tools. Your role will involve deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential to implement MLOps practices, including CI/CD pipelines using Git, to ensure seamless operations. Additionally, creating and maintaining technical architecture diagrams for GCP service implementations will be part of your routine tasks. Your expertise in Machine Learning and Deep Learning concepts will be crucial for this role. Extensive experience with GCP services, particularly AI/ML offerings, is required to excel in this position. Proficiency in MLOps practices and tools is essential, along with hands-on experience in Docker, Kubernetes, and Git. Furthermore, experience in frontend development and API integration will be beneficial for developing frontend applications that integrate with ML and AI backend services. In this role, you will also be responsible for optimizing big data processing workflows and ML model performance. Knowledge of big data processing and analytics is expected, along with the ability to create clear technical documentation and architecture diagrams to ensure effective communication within the team. Preferred qualifications for this position include Google Cloud certifications, experience with AI and GenAI models and applications, and a background in full-stack development. An understanding of microservices architecture, experience with data pipeline optimization, and proficiency in Python, HTML, and JavaScript will further strengthen your candidacy for this role.,

Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (BSc preferred) Teaching, tutoring, or content creation experience is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (BSc preferred) Teaching, tutoring, or content creation experience is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities Design and implement AI models for document processing, OCR, and data extraction from financial documents Develop machine learning pipelines for invoice classification, vendor matching, and payment prediction Build AI-powered reconciliation algorithms that can identify discrepancies and suggest corrections Prototype and iterate on natural language processing solutions for financial workflow automation Collaborate on end-to-end AI system architecture from data ingestion to model deployment Experiment with large language models and fine-tuning for financial domain applications Implement MLOps practices for model versioning, monitoring, and continuous improvement Required Qualifications 4+ years of experience in machine learning and AI development Strong proficiency in Python, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with computer vision and OCR technologies (OpenCV, Tesseract, cloud OCR APIs) Knowledge of NLP and experience with transformers, BERT, or similar architectures Familiarity with cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) Experience with data processing frameworks (Pandas, NumPy, Apache Spark) Understanding of financial processes (invoicing, payments, reconciliation) preferred Comfortable with rapid prototyping and iterative development approaches Preferred Qualifications Experience with document AI and intelligent document processing Knowledge of financial regulations and compliance requirements Experience with vector databases and retrieval-augmented generation (RAG) Familiarity with API development and microservices architecture Experience with containerization (Docker, Kubernetes)

Title- AI Engineer Experience - 4 to 6 Years Location - Noida Sec 126 Note-We are looking for a candidate who can Join within July and or having maximum 1 month of Notice period Skills Python Agentic Frameworks AI Models LangGraph Agentic workflows Vector Database AI/ML LLM RAG CrewAI Project Highlights We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Roles and Responsibilites Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Requirements 4 -6 years of software engineering or AI/ML experience, with 2+ years in agentic or LLM-based system design. Hands-on experience with LangGraph, CrewAI, AutoGPT, BabyAGI, or similar frameworks. Proficiency in Python and common AI/LLM libraries (LangChain, OpenAI API, Hugging Face, etc.). Strong grasp of agent lifecycle, orchestration, and autonomy patterns (e.g., ReAct, Plan-and-Execute, hierarchical agents). Experience in integrating LLM agents with tools (APIs, search, file systems, databases) and managing secure, compliant interaction models. Solid understanding of vector stores , memory architectures, and context management strategies. Experience deploying agentic frameworks in large-scale enterprise environments (finance, telecom, healthcare, etc.) and Knowledge of LangGraph's stateful workflows will be a plus. Benefits Of Working With Us Opportunities to work in Latest Technologies. Challenging / Complex Development Projects. Working with Large clients. Strong Development & Delivery Processes. Focus on Learning and Development. Send your profile to: nikita.gautam@innovationm.com or you can connect over linkedin:- https://www.linkedin.com/in/gautamnikita/

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

Conduct advanced research in AI and machine learning, specifically focusing on LLMs for code generation and comprehension Implement or optimise state-of-the-art AI models to enhance our AI pair programming capabilities Develop and refine algorithms for contextual code retrieval, reranking, and efficient use of vector databases Collaborate with the development team to integrate research findings into our VS Code extension Contribute to the improvement of developer workflow optimisation through AI-assisted coding Evaluate and fine-tune models to ensure high-quality code suggestions and analysis Stay abreast of the latest advancements in AI research and propose innovative applications for our product

Job Description: Job Timings: Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Location : Valsad, Gujrat Responsibilities: Design, develop, and maintain .NET applications. Able create plug and play library for .net applications. Hands on knowledge in SQL Database Implement AI solutions. Develop APIs and services to support AI functionalities. Know well about setup load balancing between database and application. Third Party integration ( scrapping data from other website) Advantage having knowledge of UI technology (Angular) Ensure the performance, quality, and responsiveness of applications. Troubleshoot and resolve software defects and issues. Stay updated with the latest industry trends and technologies in AI and .NET development. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a .NET Developer. Experience with AI tools like AWS generative AI, . Proficiency in C# and .NET framework. Familiarity with cloud platforms (e.g., Azure, AWS) and their AI services. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Master's degree in Computer Science or related field. Experience with DevOps practices and CI/CD pipelines.

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

We are seeking a data-savvy, analytically-driven professional for our R&D and Technology team as a Data & Business Analytics Specialist . This role is critical in driving insight-led innovation and improving operational and editorial efficiency across our publishing services. Key Responsibilities Analyze structured and unstructured data from editorial, production, and client systems to derive insights that support strategic decision-making. Ensure effective use of dashboards and performance metrics for internal use and client reporting. Collaborate with R&D teams to provide data insights that inform the development of AI models, automation tools, and process improvements. Monitor and evaluate process performance (e.g., turnaround time, quality metrics, editorial rework) to identify trends, bottlenecks, and opportunities for optimization. Support forecasting and capacity planning through predictive analytics models. Contribute to client-specific data presentations, demonstrating the impact of TNQs services on their publishing programs. Act as a bridge between data, technology, and business teams to ensure alignment between analytics outputs and business goals.

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Greetings from Blue Altair! Job Overview: We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members. Title: Consultant/Sr. Consultant - Data Science Engineer Experience : 5-8 years Location: Pune/Bangalore (Hybrid) Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures. Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Prepare technical documentation and present insights to both technical and non-technical stakeholders. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members.

Seniority : Senior Description & Requirements Position Summary The Senior AI Engineer with GenAI expertise is responsible for developing advanced technical solutions, integrating cutting-edge generative AI technologies. This role requires a deep understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the Ideation to MVP journey, showcasing leadership and decision-making abilities while tackling complex challenges. Key Responsibilities Technical & Engineering Leadership Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g., Kubernetes/CNCF) and partner technologies. Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. Refactor existing solutions to implement a microservices-based architecture. Innovation & Initiative Drive the adoption of cutting-edge GenAI technologies within cloud-native projects, spearheading initiatives that push the boundaries of AI integration in cloud services. Engage in technical innovation and support HCLs position as an industry leader. Author whitepapers, blogs, and speak at industry events. Maintain hands-on technical credibility, stay ahead of industry trends, and mentor others. Client Relationships Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery. Mandatory Skills & Experience A passionate developer with 10+ years of experience in Java, Python, Node.js, and Spring programming, comfortable working as part of a paired/balanced team. Extensive experience in software development, with significant exposure to AI/ML technologies. Expertise in GenAI frameworks: Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, Gemini, and Hugging Face Transformers. Prompt engineering: Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. Proven experience developing complex solutions that leverage cloud-native technologiesfeaturing container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. Exemplary verbal and written communication skills (English). Positive and solution-oriented mindset. Solid experience delivering Agile and Scrum projects in a Jira-based project management environment. Proven leadership skills and the ability to inspire and manage teams. Desired Skills & Experience Machine Learning Operations (MLOps): Experience in deploying, monitoring, and maintaining AI models in production environments using MLOps practices. Data engineering for AI: Skilled in data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data. AI model fine-tuning: Proficiency in fine-tuning pre-trained models on specific datasets to improve performance for specialized tasks. AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. Knowledgeable about vector databases, LLMs, and SMLs, and integrating with such models. Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). Deep understanding of core practices including DevOps, SRE, Agile, Scrum, XP, Domain-Driven Design, and familiarity with the CNCF open-source community. Recognized with multiple cloud and technical certifications at a professional level, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification At least one recognized cloud professional / developer certification (AWS/Google/Microsoft)

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.

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-