3970 Openai Jobs - Page 6

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI – Application Developer EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and study more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company. EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax. GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. EY is currently seeking a Generative AI – Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata India. The opportunity We’re looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm whilst being instrumental in the growth of a new service offering. Your Key Responsibilities Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/ platform development strategy. Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. Skills And Attributes For Success Must-Have: Skilled in full-stack application development with .NET C#, REST Api, React or any other typescript based UI frameworks, SQL databases Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID etc. Containerisation – Docker, Azure container apps, Azure Kubernetes Services (AKS) No-SQL database such Cosmos or Mongo DB Working experience with source control such as git or TFVC CI/CD pipelines, Azure DevOps, GitHub Actions etc. Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. Fundamental understanding of various types of Large Language Models (LLMs) Fundamental understanding of Retrieval Augment Generation (RAG) techniques Fundamental understanding of classical AI/ML Skilled in Advanced prompt engineering Nice-to-Have: Awareness about various AI Agents/ Agentic workflow frameworks and SDKs Graph Database such as Neo4j Experience with M365 Copilot Studio Microsoft Azure AI-900/ AI-102 Certification Behavioural Skills: Excellent learning ability. Strong communication skill. Flexibility to work both independently and as part of a larger team. Strong analytical skills and attention to detail. The ability to adapt your work style to work with both internal and client team members. To qualify for the role, you must have Bachelor’s / master’s degree in software engineering / information technology / BE/ B.TECH An overall 5 – 9 years of experience. Ideally, you’ll also have Thorough knowledge Tax or Finance Domain. Strong analytical skills and attention to detail. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY TAS practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Outlier Outlier is the world’s leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Biology experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Biology Develop and answer Biology-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required Expertise And Qualifications Education: Bachelor's, Master’s degree or higher (PhD preferred) in Biology or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Mandatory Certifications (Any 1)1. AI-102 Microsoft Certified: Azure AI Engineer Associate.2. DP-100 Microsoft Certified: Azure Data Scientist Associate. Good To Have1. Azure Storage / Azure Deployments / Azure Data Factory2. Database Skills - SQL Server Requirements: • Proven experience with Azure cloud services, especially Azure OpenAI and Azure Search. Strong proficiency in Python, GitLab, GitHub Copilot, VS Code, Postgres RDBMS, vector databases like ChromaDB, Azure Search. Good to have - Java, Java Sprint frameworks, maven, IntelliJ, ReactJS. Experience implementing RAG (Retrieval-Augmented Generation) patterns in real-world applications. Familiarity with microservices and API development. Knowledge of data security, privacy, and compliance best practices. Design and implement robust testing and validation strategies for AI solutions, including unit, integration, and end-to-end tests for chat interfaces and AI-driven features. Develop automated test suites to ensure accuracy, reliability, and performance of AI models and chat interactions. Integrate the application with AI data models via secure, scalable APIs, ensuring seamless data flow and real-time interaction between the application and AI services. Validate AI outputs for correctness, relevance, and compliance with business requirements. Understand and apply principles of Responsible AI, including fairness, transparency, explainability, and privacy. Ensure compliance with ethical standards and regulatory requirements in AI development and deployment. Document testing procedures, validation results, and responsible AI practices for audit and continuous improvement. Experience with automated testing, CI/CD pipelines, and DevOps practices. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: • Experience with telemetry analytics, observability platforms, or similar domains. Familiarity with AI/ML model deployment and MLOps in Azure. Knowledge of banking, payments, or financial services applications Locations: -Gurgaon, Hybrid (4 Days), No ODC Grade, Experience: -4A/4B, 6 Y – 10 Y Notice Period: -look for immediate, 30 Days, 60 Days.

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Job Title: Product Manager – AI Projects Location: Chennai Experience: Minimum 3 years Employment Type: Full-Time About Us: At White Mastery Systems, we’re building next-generation solutions powered by artificial intelligence. Our mission is to integrate AI into real-world products that solve meaningful problems. We are looking for a Product Manager with experience in AI-driven initiatives who can bridge the gap between technology and business to deliver high-impact solutions. Role Overview: We are seeking a motivated and skilled Product Manager to lead the execution of AI-based projects. The ideal candidate will have strong experience managing AI/ML products, crafting effective prompts for LLMs, and working with a variety of AI tools. You will drive project success by coordinating between stakeholders, tech teams, and product users. Key Responsibilities: Own and drive the end-to-end lifecycle of AI products and projects Translate business needs into clear product requirements and AI capabilities Collaborate with technical teams to ensure successful development and implementation Develop and iterate prompts to optimize performance of generative AI tools (e.g., GPT, Claude) Stay updated on AI trends and identify tools or techniques that can improve project outcomes Define and track project goals, timelines, deliverables, and resource needs Communicate effectively with leadership and cross-functional teams Collect feedback and continuously improve product features and user experience Required Qualifications: Minimum 3 years of experience in product or project management roles At least 1 year of hands-on experience managing AI/ML or generative AI projects Familiarity with prompt engineering and working with LLMs (e.g., GPT, Claude, Gemini) Exposure to AI tools and platforms such as OpenAI, Hugging Face, Midjourney, etc. Strong problem-solving abilities and attention to detail Excellent verbal and written communication skills Experience working with Agile/Scrum teams Preferred Qualifications: Educational background in computer science, AI/ML, or related field Prior experience working in tech startups or innovation teams Understanding of APIs, data pipelines, and model integrations Demonstrated ability to ship AI products from concept to launch Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Application Question(s): When can you join us? Experience: Product management: 1 year (Required) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Company Description AppTestify is a leading provider of On-Demand Testing and Digital Engineering Services, delivering scalable solutions for businesses of all sizes. As a renowned software engineering and QA services provider, AppTestify enables faster deployment of superior software. With over 100 Engineers, the company has served more than 120 clients globally. Their expertise includes DevOps, automation testing, API testing, functional testing, mobile testing, Salesforce application testing, and comprehensive digital engineering solutions. Job Title: Machine Learning Engineer Experience: 5 to 8 Years Location: Pune Job Description: We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow . Work with structured and unstructured data using Pandas , NumPy , and other data processing libraries. Train and fine-tune models using scikit-learn , TensorFlow , or PyTorch . Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT , Hugging Face Transformers , etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python . Solid understanding of machine learning algorithms , model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas , NumPy , and Scikit-learn . Familiarity or hands-on experience with LLMs (e.g., OpenAI , Hugging Face Transformers ). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Apply directly - https://hrms.apptestify.com/apply/688c7ed095f9ce582a3a224a

Job Title: GenAI Full Stack Engineer with Prompt Engineering – IPC/EM Location: Remote Experience: 4–8 Years Employment Type: Full-time Job Summary: We are looking for a highly skilled GenAI Full Stack Engineer with strong experience in Prompt Engineering to design, develop, and deploy AI-driven solutions for IPC (Intelligent Process Control) and EM (Enterprise Management) use cases. This role requires deep knowledge of LLM-based applications, full-stack development, and the ability to craft effective prompts for various Generative AI models. Key Responsibilities: Design and implement full-stack GenAI applications using modern frameworks (React, Node.js, Python, etc.) Develop, test, and optimize prompts for various Generative AI platforms (OpenAI, Azure OpenAI, Anthropic, etc.) Integrate LLM capabilities into IPC/EM workflows such as automation, document summarization, intelligent agents, etc. Build scalable backend APIs and frontend dashboards to visualize and control AI-driven workflows. Collaborate with data scientists, MLOps engineers, and process/domain experts to create impactful AI solutions. Ensure secure, efficient, and compliant deployment of AI solutions on cloud platforms like Azure/AWS/GCP . Contribute to the continuous improvement of model performance, prompt accuracy, and system reliability. Required Skills: Strong proficiency in JavaScript/TypeScript, Python, Node.js, React.js, or Angular Proven experience with Generative AI (LLMs), Prompt Engineering , and working with APIs like OpenAI/Gemini/Cohere Familiarity with vector databases (Pinecone, FAISS, Chroma DB) and RAG architecture Experience in building and deploying RESTful APIs and using microservices Good understanding of cloud platforms (Azure preferred) and DevOps tools (CI/CD, Docker, Kubernetes) Hands-on experience in frontend/backend integration for GenAI use cases Strong problem-solving and analytical skills

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

Position: ML Engineer Experience: 6-8 years Location: Pune/Indore Work Mode: Onsite Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications.• Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Job Type: Full-time Pay: ₹2,200,000.00 per year Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 5 years (Required) MLFlow: 5 years (Required) LLM: 5 years (Required) Work Location: In person

Experience Level : Software Engineer- 3-5 years of relevant experience in data engineering. About Forage AI : Forage AI is a pioneering AI-powered data extraction and automation company that transforms complex, unstructured web and document data into clean, structured intelligence. Our platform combines web crawling, NLP, LLMs, and agentic AI to deliver highly accurate firmographic and enterprise insights across numerous domains. Trusted by global clients in finance, real estate, and healthcare, Forage AI enables businesses to automate workflows, reduce manual rework, and access high-quality data at scale. About the Role : We are seeking a talented and growth-minded Software Engineer who is passionate about building, scaling, and modernizing impactful business systems. In this full-time position, you’ll work on a mix of new feature development, system enhancements, and platform modernization initiatives—while ensuring the stability and reliability of our core products. You’ll have the chance to experiment with and implement GenAI-driven approaches, innovations, and new strategies as we continue to evolve our solutions. We value engineers who express their best technical talent, contribute innovative ideas to overall product development, and propose creative automation solutions across our engineering efforts. This is an opportunity to propose and lead technical improvements, contribute to architectural evolution, and make your mark on products used by real customers. Structured onboarding and domain training will be provided to set you up for success. Key Responsibilities : Design and develop new features and enhancements for our core platforms and services. Contribute to the modernization and refactoring of existing systems and code bases. Propose, experiment with, and implement GenAI-based innovations, tools, or workflows to solve business problems and create new value. Drive technical improvements, suggest and lead platform upgrades, and champion engineering best practices. Investigate, debug, and resolve production issues, to deliver robust solutions that improve performance and maintainability. Collaborate with product, engineering, and business teams to deliver impactful end-to end solutions. Help maintain the reliability, scalability, and security of our systems as we evolve our platform. Technical Skills & Requirements: Python: Strong hands-on experience with core Python and its standard libraries Web Framework: Experience developing backend APIs and services using FastAPI/Flask. RabbitMQ: Proficiency in implementing message queues and task distribution. Docker & Docker Compose: Experience containerizing applications and managing services. WebScraping: Demonstrated expertise with webscraping tools and techniques. Playwright & Selenium: Practical experience with browser automation frameworks. PostgreSQL & SQLAlchemy: Proficient in SQL and ORM-based data access. MongoDB & PyMongo: Experience with NoSQLdata using PyMongo. Redis: Practical use for caching and lightweight messaging. AWS: Hands-on experience with services such as S3, Secrets Manager, and Auto Scaling Groups(using boto3). Linux/Unix: Comfort with command-line operations and scripting. Git: Proficient in version control and team collaboration. Concurrency: Experience with multithreading and asynchronous programming in Python. API Integrations: Familiarity with integrating third-party APIs, including authentication, data handling, and rate limiting. Good to have: Exposure to GenAI/LLMs (OpenAI, HuggingFace, etc.), prompt engineering, or integrating GenAI-powered features into products Other Infrastructure Requirements Since this is a completely work-from-home position, you will also require the following - ● High-speed internet connectivity for video calls and efficient work. ● Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to interrupted, efficient work). ● Headphones with clear audio quality. ● Stable power connection and backups in case of internet/power failure.

Job Title-AI/ML Engineering(Python,AWS,AI) || 5 to 8 Years || Remote Role Overview: Lead design and delivery of LLM-powered, agentic AI solutions with robust RAG pipelines and prompt-engineering best practices. Key Responsibilities: Integrate and optimize LLM APIs (OpenAI, FILxGPT ) for scalable services Craft, test and refine high-impact prompts and chains Architect agentic workflows combining retrieval, LLM generation and external tools Build end-to-end RAG systems: data ingestion, embedding/indexing, hybrid retrieval, grounded generation Ensure model governance: versioning, monitoring, bias/security audits Qualifications: 5+ years in AI/ML engineering with 2+ years on LLM/agentic systems Deep expertise in prompt engineering, RAG architectures and vector databases Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD

Roles & Responsibilities Design & Develop: Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools. Develop and fine-tune LLMs for domain-specific tasks using frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, etc. Build agentic AI systems capable of autonomous reasoning and task execution. NLP and Advanced Language Models: Work with NLP pipelines (text classification, summarization, entity extraction, question answering). MLOps & Azure Integration: Utilize CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities. Collaborate with DevOps to integrate AI models into production systems. Innovation & Scalability: Stay updated on AI advancements—especially LLMs and Generative AI—to improve AI solutions. Promote best practices for scalable and secure AI system development on Azure. Mentorship & Collaboration: Provide technical mentorship to junior engineers; share knowledge within the team. Work closely with cross-functional teams (Product, Engineering) to translate requirements into technical solutions. Requirements Experience: Minimum 4 years in AI engineering, focused on Generative AI, LLMs, and NLP. Proven experience building and deploying AI models with Azure AI tools: Azure OpenAI, Azure ML, Azure Cognitive Services. Strong use of LLM frameworks: LangChain, LlamaIndex, Hugging Face, etc. Hands-on experience with MLOps pipelines and CI/CD. Technical Skills: Experience with backend development, especially building APIs or integrating AI models into web apps. Soft Skills: Excellent problem-solving; focus on production-ready solutions. Strong communication and collaboration; able to explain complex AI topics to non-technical stakeholders.

Senior AI/ML Engineer Company Overview At Jacav, we help businesses streamline and manage their DevOps and Microservices operations with ease. Our product, Cloud Dongle, simplifies deployment, monitoring, and management across cloud environments. Designed to support modern software development teams, it automates workflows, improves visibility, and enables faster, more reliable releases. Jacav offers tools for CI/CD, infrastructure-as-code, and real-time monitoring—all in one place. Join the growing number of teams using Jacav to take control of their DevOps and Microservices lifecycle. Position Overview We are seeking a Senior AI/ML Engineer to join our innovative team and help drive the next generation of intelligent DevOps and Microservices solutions. This role offers an exciting opportunity to work at the intersection of artificial intelligence and cloud infrastructure, developing cutting-edge AI capabilities that enhance our Cloud Dongle platform. Experience Required 5-10 years of professional experience in AI/ML engineering and software development Key Responsibilities • AI/ML Model Development : Design, develop, and deploy machine learning models to optimize DevOps workflows and enhance microservices management • Generative AI Implementation : Build and integrate generative AI solutions to automate complex operational tasks and improve user experiences • Agentic AI Systems : Develop autonomous AI agents that can make intelligent decisions within DevOps pipelines and infrastructure management • Cloud Infrastructure : Architect and implement scalable AI/ML solutions on AWS cloud platforms • API Development : Create robust, high-performance APIs using FastAPI to serve AI models and integrate with existing systems • Model Training & Optimization : Utilize TensorFlow and other frameworks to train, fine-tune, and optimize machine learning models • LLM Integration : Work with leading language models including OpenAI and Claude to enhance platform capabilities • Cross-functional Collaboration : Partner with DevOps, backend, and product teams to integrate AI solutions seamlessly into the Cloud Dongle ecosystem Required Technical Skills • Programming Languages : Advanced proficiency in Python • Machine Learning Frameworks : Strong experience with TensorFlow and modern ML libraries • Generative AI : Hands-on experience with generative AI technologies and applications • Cloud Platforms : Extensive experience with AWS services and cloud-native AI/ML solutions • Agentic AI : Experience developing autonomous AI systems and intelligent agents • LLM Integration : Practical experience with OpenAI, Claude, and other large language models • API Development : Proficiency in FastAPI and RESTful API design • DevOps Integration : Understanding of CI/CD pipelines, containerization, and infrastructure automation Preferred Qualifications • Experience with MLOps practices and model deployment at scale • Knowledge of microservices architecture and distributed systems • Familiarity with Kubernetes and container orchestration • Experience with real-time data processing and streaming • Background in infrastructure monitoring and observability • Understanding of cloud security best practices for AI/ML workloads What We Offer • Opportunity to work on cutting-edge AI/ML technologies in the DevOps space • Collaborative environment with cross-functional teams • Chance to impact the future of cloud infrastructure management • Competitive compensation and benefits package • Professional development and learning opportunities Join Jacav and help us revolutionize how teams manage their DevOps and Microservices operations through the power of artificial intelligence!

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

Role - Python Developer Skill- AWS, AI Exp- 5-10 YRS || Remote JD: Data Engineer – Python + AWS + AI - Job Description Exp Level – 5 to 8 years Location – Gurgaon & Remote Key Responsibilities: Integrate and optimize LLM APIs (OpenAI, FILxGPT ) for scalable services Craft, test and refine high-impact prompts and chains Architect agentic workflows combining retrieval, LLM generation and external tools Build end-to-end RAG systems: data ingestion, embedding/indexing, hybrid retrieval, grounded generation Ensure model governance: versioning, monitoring, bias/security audits Qualifications: 5+ years in AI/ML engineering with 2+ years on LLM/agentic systems Deep expertise in prompt engineering, RAG architectures and vector databases Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD DM Resume @ soumya.srivastava@innovaesi.com

Job Title: Product Manager – AI Projects Location: Chennai Experience: Minimum 3 years Employment Type: Full-Time About Us: At White Mastery Systems, we’re building next-generation solutions powered by artificial intelligence. Our mission is to integrate AI into real-world products that solve meaningful problems. We are looking for a Product Manager with experience in AI-driven initiatives who can bridge the gap between technology and business to deliver high-impact solutions. Role Overview: We are seeking a motivated and skilled Product Manager to lead the execution of AI-based projects. The ideal candidate will have strong experience managing AI/ML products, crafting effective prompts for LLMs, and working with a variety of AI tools. You will drive project success by coordinating between stakeholders, tech teams, and product users. Key Responsibilities: Own and drive the end-to-end lifecycle of AI products and projects Translate business needs into clear product requirements and AI capabilities Collaborate with technical teams to ensure successful development and implementation Develop and iterate prompts to optimize performance of generative AI tools (e.g., GPT, Claude) Stay updated on AI trends and identify tools or techniques that can improve project outcomes Define and track project goals, timelines, deliverables, and resource needs Communicate effectively with leadership and cross-functional teams Collect feedback and continuously improve product features and user experience Required Qualifications: Minimum 3 years of experience in product or project management roles At least 1 year of hands-on experience managing AI/ML or generative AI projects Familiarity with prompt engineering and working with LLMs (e.g., GPT, Claude, Gemini) Exposure to AI tools and platforms such as OpenAI, Hugging Face, Midjourney, etc. Strong problem-solving abilities and attention to detail Excellent verbal and written communication skills Experience working with Agile/Scrum teams Preferred Qualifications: Educational background in computer science, AI/ML, or related field Prior experience working in tech startups or innovation teams Understanding of APIs, data pipelines, and model integrations Demonstrated ability to ship AI products from concept to launch Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Application Question(s): When can you join us? Experience: Product management: 1 year (Required) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. What you need: Required Qualifications: Minimum 10 years in AI or data science roles, with a focus on building AI solutions on Azure. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Preferred Qualifications: Knowledge of DevOps practices, CI/CD pipelines Azure certifications such as Azure AI Engineer Associate are a plus. Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Masters degree in Science preferred).

We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Strong debugging, problem-solving, and optimization skills. • Experience with API development and micro services architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO ). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure).

Job Summary: We are seeking an experienced DevOps Engineer with a strong background in deploying and managing AI applications on Azure. The ideal candidate should have experience in deploying AI systems, understands AI Agentic architectures, and can optimize and manage LLM-based applications in production environments. Key Responsibilities: Deploy, scale, and monitor AI applications on Microsoft Azure (AKS, Azure Functions, App Services, etc.). Build and optimize AI Agentic systems for robust and efficient performance. Implement CI/CD pipelines for seamless updates and deployments. Manage containerized services using Docker/Kubernetes. Monitor infrastructure cost, performance, and uptime. Collaborate with AI engineers to understand application requirements and support smooth deployment. Ensure compliance with data security and privacy standards. Requirements: 2+ years of experience in deploying and managing AI/ML applications. Proficiency in Azure cloud services and DevOps practices. Familiarity with LLM-based systems, LangChain, Vector DBs, and Python. Experience with containerization tools (Docker) and orchestration (Kubernetes). Understanding of AI system architecture, including Agentic workflows. Strong problem-solving and optimization skills. Preferred Qualifications: Experience with Gemini, OpenAI, Anthropic, or Hugging Face APIs. Familiarity with LangChain, LlamaIndex, or ChromaDB. Prior experience in managing high-availability, secure, and cost-optimized AI deployments.

Position title Document Processing & Automation Specialist Employment Type ☐Full-Time ☐ Part-Time ☒Contract Duration 3 Months – C2H Shift Timings 12PM-9PM About Client The client is a comprehensive healthcare organization that specializes in providing on-site medical and dental services to residents in long-term care, skilled nursing, and assisted living facilities. Their diverse network comprises skilled doctors, providers, industry-expert executives, and dedicated support staff, all committed to delivering high-quality care to underserved populations Job Description We are seeking a highly motivated and detail-oriented Document Processing & Automation Specialist with expertise in computer vision, particularly using OpenCV. In this role, you will be instrumental in enhancing the accuracy, reliability, and scalability of our automated document analysis systems. Your contributions will directly impact operational efficiency, data integrity, and the success of our broader digital transformation initiatives. This is a unique opportunity to apply your technical proficiency to real-world challenges and drive meaningful innovation within our organization Job Responsibilities Design, develop, and optimize computer vision algorithms for document classification, segmentation, and data extraction Work extensively with OpenCV and other image processing libraries to detect regions of interest, remove noise, and improve OCR readiness Conduct performance tuning and error analysis to improve the accuracy and throughput of the document automation system. Utilize OpenAI, Azure OpenAI, or similar LLM APIs for intelligent content extraction, reasoning, and validation from OCR text. Fine-tune and optimize AI models using prompt engineering, few-shot examples, and structured input/output patterns Assist in deploying models to production environments and monitor their performance. Monitor and analyze system performance, applying continuous improvements to ensure high accuracy and throughput Total Experience - 10+ years Min Experience - 8 years Domain - HealthCare Relevant Experience - 5 years Must have skills Proficiency with OpenCV for tasks like segmentation, denoising, bounding box detection, contour analysis Strong understanding of image preprocessing for OCR readiness. Python (advanced level) with experience in NumPy, Pandas, and file I/O operations. Ability to write clean, modular, and testable code. Experience working with at least one OCR engine such as Tesseract, Azure OCR, AWS Textract, or Google Vision Hands-on experience with OpenAI APIs (e.g., GPT-3.5, GPT-4) or Azure OpenAI Service. Prompt engineering skills for structured and unstructured data extraction Nice to have skills Basic NLP techniques (e.g., entity recognition, regex-based extraction, text cleaning). Experience with tools like spaCy, HuggingFace, or LangChain. Exposure to training or fine-tuning machine learning models (e.g., SVM, CNN, BERT). Experience deploying solutions on Azure, AWS, or GCP

Job Title: Machine Learning Engineer Experience - 5-8 yrs Work Mode - Onsite (Pune/Indore) Employment type - Contract Duration - 6 Months ( Can be extended based on performance) Job Description: We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow . Work with structured and unstructured data using Pandas , NumPy , and other data processing libraries. Train and fine-tune models using scikit-learn , TensorFlow , or PyTorch . Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT , Hugging Face Transformers , etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python . Solid understanding of machine learning algorithms , model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas , NumPy , and Scikit-learn . Familiarity or hands-on experience with LLMs (e.g., OpenAI , Hugging Face Transformers ). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills.

Job Title: AI/ML Agent Developer Location: All EXL Locations Department: Artificial Intelligence & Data Science Reports To: Director of AI Engineering / Head of Intelligent Automation Position Summary: We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You’ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search. Why Join Us: Work at the forefront of AI orchestration and intelligent agents. Collaborate with a high-performing team driving innovation in enterprise AI platforms. Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.

Location : Kolkata, India (In-office) Type : Full-time Experience : 5+ years About Client Our client is building a next-generation platform to power preschools of the future combining powerful tools for curriculum planning, classroom journaling, communication, and AI-driven insights — all designed to elevate the preschool experience for educators, parents, and school leaders. Built for web, iOS, and Android , it blends world-class engineering with deep domain expertise in early childhood education. We're already trusted by forward-thinking preschools across India and globally, and are just getting started. About The Role We're looking for a seasoned Python backend engineer to join our core engineering team at Agastya – a next-gen EdTech SaaS for preschools. You’ll work closely with the founders and product teams to build scalable, fast, and secure backend services – and power the AI-enabled features that are core to our platform. Key Responsibilities Architect and maintain microservices using Flask and FastAPI Design performant, secure, and well-documented APIs Optimize systems for scalability and low latency Work with GCP services (Cloud Run, Cloud Storage, Firestore, IAM, etc. Maintain existing CI/CD pipelines and observability tools (Sentry, logging, etc.) Collaborate with mobile/web engineers for full-stack delivery Support deployment and scaling of AI/ML features and services Requirements 5+ years of backend development experience in Python Familiar with AI tools and IDEs like Cursor, Claude Code, etc. Deep expertise in Flask and FastAPI frameworks Hands-on experience with Google Cloud Platform (GCP) Strong understanding of performance optimization and async programming Experience with NoSQL databases like MongoDB or Firestore Comfortable with Docker and GitHub Actions Startup mindset: proactive, execution-oriented, and quality-driven Bonus / Preferred Familiarity with foundation model APIs and tools like OpenAI, CoreWeave, Pinecone, LangChain, etc. Exposure to building or integrating AI-driven features in production apps Skills: fastapi,flask,firestore,python,mongodb,sentry,gcp,iam,async programming,github,ci/cd,cloud,github actions,nosql,cloud run,ai tools,cursor,docker,claude code,cloud storage