633 Gen Ai Jobs - Page 14

About the Role As a GenAI MLOps Engineer on our AI Engineering team, youll build, deploy, and maintain the core infrastructure that powers our generative-AI products. Youll partner closely with data scientists and software engineers to productionize LLM-based models, automate workflows, and keep services reliable and cost-effective. Core Responsibilities (Must-Have) Pipeline & CI/CD Design, build, and operate repeatable ML pipelines (data prep training evaluation deploy) using tools such as Airflow, Prefect, or cloud-native solutions. Author automated CI/CD workflows (GitHub Actions, Azure DevOps, or Jenkins) for model code, pipelines, and container builds, including linting and automated tests. Model Deployment & Serving Containerize models with Docker; deploy to Kubernetes (AKS/EKS/GKE) or serverless (Cloud Run, Azure Functions). Implement safe rollout patterns (canary, blue/green) to minimize risk when updating model versions. Monitoring & Alerting Instrument inference endpoints and pipelines with key metrics (latency, throughput) and logs. Create dashboards and alerts (Prometheus/Grafana or cloud-native alternatives) to detect errors, drift, and performance regressions. Cloud & Infrastructure Operate core compute resources on one major cloud platform (Azure Databricks, AWS SageMaker, or GCP Vertex AI). Write and maintain basic Infrastructure-as-Code (Terraform, or CloudFormation) for provisioning clusters and managed services. GenAI Orchestration & Vector Retrieval Use orchestration framework (e.g., LangGraph, Langfuse etc) to automate GenAI workflows. Support embedding-based retrieval pipelines: collaborate on vector index maintenance and refresh processes. Collaboration & Documentation Work with data science to integrate new models into production. Produce clear runbooks, architecture diagrams, and “on-call” guides. Qualifications 5 years in DevOps/MLOps roles, including at least 3 years supporting ML or deep-learning systems. Hands-on with one major cloud (Azure/AWS/GCP) and experience provisioning compute for training/inference. Strong skills in Docker and Kubernetes or serverless deployments. Proven ability to author CI/CD pipelines and IaC. Experience with monitoring stacks (Prometheus/Grafana, Datadog, or cloud-native tools). Familiarity with a prompt-orchestration framework (e.g., LangChain) and core vector-retrieval concepts. Soft Skills Effective communicator who can translate technical details to cross-functional teams. Strong problem-solver who can troubleshoot across data, model, and infrastructure layers. Eager to learn new tools and iterate rapidly in a fast-paced environment. Additional Information Growth & Nice-to-Have Security & Compliance: Basic API auth (OAuth/JWT), secrets management (Key Vault, AWS KMS), and data encryption. Testing & Validation: Data-quality checks (e.g., Great Expectations), adversarial testing, and automated model-quality gates. Scalability & Cost Optimization: Capacity planning, load testing (Locust, JMeter), spot-instance usage, and caching strategies (Redis). Reliability Engineering: Participation in on-call rotations, post-mortems, and error-budget SLOs; chaos-testing fundamentals. Experimentation Lifecycle: Tracking experiments and hyperparameter sweeps (MLflow, Optuna), and supporting A/B tests. Tooling Flexibility: Familiarity with alternative MLOps frameworks (Kubeflow, TFX) or observability stacks (OpenTelemetry). Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)

Lead Python Developer Experience: 6 - 9 Years Exp. Salary : INR 30-36 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Docker, Python, Gen AI Good to have skills : LLM Blend360 (One of Uplers' Clients) is Looking for: Lead Python Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Key Responsibilities : Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. ¢ Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. ¢ Ensure code quality, security, and performance optimization. ¢ Work with containerization technologies like Docker and Kubernetes for application deployment. ¢ Collaborate with cross-functional teams to define, design, and ship new features. ¢ Establish and manage CI/CD pipelines for seamless application deployment. ¢ Implement best practices for API design, development, and security. ¢ Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). ¢ Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Qualifications : ¢ Proven experience in leading technical teams and developing applications using microservice architecture. ¢ Strong proficiency in Python and FastAPI. ¢ Deep understanding of Pydantic for data validation in FastAPI. ¢ Experience with containerization (Docker, Kubernetes). ¢ Familiarity with CI/CD pipelines and automation tools. ¢ Knowledge of API design and implementation best practices. ¢ Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). ¢ Strong understanding of security best practices in microservices-based applications. Nice to Have : ¢ Experience with Retriever models, including implementation of chunking strategies. ¢ Familiarity with vector databases and their use cases. ¢ Understanding of optimal approaches in querying LLM models via API. ¢ Experience with prompt engineering and different strategies for effective interactions with LLMs. ¢ Exposure to various prompt engineering techniques in different scenarios Interview Process Online Assessment Technical Screenings -2 Technical Interviews - 2 Project Review Client Interview How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. The company has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.

Job description Role: Generative AI Developer Experience: 4 to 10 Years Location: Hyderabad Work Mode: Hybrid Total 4 Rounds includes HR(Any 1 Round F2F is Mandatory) Notice Period: Immediate to 15 Days Jioners only Job Description Job Summary: We are seeking a proactive and innovative developer with up to 6 years of industry experience. The ideal candidate will work at the intersection of generative AI, machine learning, and backend API development using Python and modern frameworks like FastAPI and Flask. In this role, you'll be responsible for developing and deploying scalable machine learning models, preparing and processing data, and building robust API services that integrate advanced AI solutions into production environments. Key Responsibilities: Generative AI & Machine Learning: Develop, implement, and fine-tune generative AI models and machine learning algorithms for real-world applications. Collaborate with data scientists and other team members to translate research into production-ready code. Data Preparation & Processing: Clean, preprocess, and transform large datasets to support training, validation, and inference tasks. Optimize data pipelines to ensure efficient data flow and resource utilization. Backend API Development: Design, build, test, and maintain RESTful APIs and backend services using Python frameworks such as FastAPI and Flask. Ensure high performance and responsiveness of applications, incorporating best practices in API design and microservices architecture. Collaboration & Code Quality: Participate in agile development cycles, code reviews, and collaborative problem-solving sessions. Document technical processes and maintain high standards of code quality, security, and scalability. Continuous Improvement & Innovation: Stay current with industry trends in AI, machine learning, and backend development to continually improve system performance and capabilities. Experiment with new tools and frameworks to drive innovation within the team. Required Qualifications & Skills: Educational Background: Bachelor?s (or higher) degree in Computer Science, Engineering, Mathematics, or a related field. Experience: Up to 6 years of professional experience in software development, with hands-on involvement in machine learning and backend API development projects. Technical Proficiency: Strong expertise in Python programming. Demonstrated experience with FastAPI, Flask, or similar Python-based web frameworks. Solid understanding of machine learning algorithms, generative AI techniques, and data preparation methods. Familiarity with data processing libraries such as Pandas and NumPy. Experience using version control systems (e.g., Git) and agile methodologies. Analytical & Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and work effectively in a team-oriented environment. Preferred Skills & Experience: Experience with deep learning frameworks like TensorFlow or PyTorch. Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes). Exposure to cloud platforms such as AWS, GCP, or Azure for deploying machine learning models and APIs. Understanding of microservices architecture and CI/CD pipeline implementation. Strong verbal and written communication skills, with a keen interest in continuous learning and self-improvement. Mandatory Skills Gen AI Developer, Machine Learning, Python

Key Responsibilities: Engage with clients during discovery sessions to understand business needs and identify AI opportunities. Design and propose AI/ML solutions tailored to client use cases (e.g., NLP, computer vision, predictive analytics). Build and present solution architectures, prototypes, and supporting technical documentation. Collaborate with sales, product, and delivery teams to ensure AI project success. Deliver technical demos, proof-of-concepts (POCs), and presentations to CXO-level stakeholders. Draft proposals, respond to RFPs, and create detailed technical documents. Stay updated on AI advancements and identify relevant applications for business use. Required Skills & Experience: 23 years of experience in AI/ML solutioning, presales, or technical consulting. Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with Python, APIs, and cloud-based AI services (AWS, Azure, or GCP). Experience building or supporting Generative AI, LLM-based solutions, or chatbot architectures is a strong plus. Excellent communication, presentation, and stakeholder engagement skills. Ability to translate complex business problems into effective AI solutions.

Serve as the lead point of contact for all customer IT account management matters Build and maintain strong, long-lasting client relationships Look at opportunities for new technologies including AI to improve efficiencies Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors Ensure the timely and successful delivery of IT solutions according to customer needs and objectives Clearly communicate the progress of monthly/quarterly initiatives to internal and external stakeholders Forecast and track key account metrics (e.g. quarterly service levels and annual forecasts) Prepare reports on account status Assist with challenging client requests or issue escalations as needed Qualifications Graduate

JD: Overall 5+ years of experience in IT Industry Good Exposure in Python, Gen AI. Interested share your CV to preetha.p@tekskills.in Thanks & Regards, Preetha Parthiban IT Recruiter India Recruitment preetha.p@tekskills.in | P: +91 40 67 28 49 29 YOUR IT CONDUIT INDIA | USA | CANADA | UK I AUSTRALIA www.tekskillsinc.com | Follow us on LinkedIn ISO 9001:2015 | Appraised at CMM Level 3 | WMBE Certified Company

Hi All Greetings from Tekskills India Pvt Ltd [CMMI Level 3 Company] !!! We have an permanent job opportunity For Python Gen AI have come across your resume in Job Portal. If you are actively looking for job If any reference who are matching to below requirement. Please share the updated resume ,below submission details. Job Description: Python Gen AI Experience: 5+years Location : Chennai, Coimbatore, Kolkata, Hyderbad Notice Period : Immediate

This is a Perm job opening with our client - a leading IT company of India. About Client - We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry expertise to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations worldwide, including 12 of the 30 most innovative global companies, 60% of the largest banks in the US and India, and multiple innovators across the healthcare ecosystem. Our disruptors mindset and commitment to client success have enabled us to sustain our growth momentum by reporting $360.2M revenue in Q3 FY25, delivering 4.3% Q-o-Q and 19.9% Y-o-Y growth. Our 23,900+ global team members, located in 19 countries, have been instrumental in helping the market leaders transform their industries. Description We are seeking a skilled .NET Developer with expertise in Generative AI and Azure to join our dynamic team in India. The ideal candidate will be responsible for developing innovative applications, integrating AI functionalities, and leveraging cloud technologies to enhance our solutions. Responsibilities Develop and maintain applications using .NET technologies. Implement and integrate AI solutions in applications using Generative AI techniques. Utilize Microsoft Azure services for cloud-based solutions and application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and debug applications to optimize performance and ensure quality standards. Stay updated with the latest trends in .NET, AI, and cloud technologies. Skills and Qualifications 4-10 years of experience in .NET development. Strong knowledge of C# and .NET Core frameworks. Experience with Generative AI tools and techniques. Proficient in Azure services including Azure Functions, Azure DevOps, and Azure SQL. Understanding of RESTful APIs and microservices architecture. Familiarity with SQL databases and NoSQL technologies. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work in a team environment.

Notice Period: Maximum 30 days Location: Bangalore, Chennai, Kolkata, Pune, and Hyderabad Note: Candidates based in Hyderabad must attend in-person interviews for the second round. Role Summary: Generative AI Specialist Mandatory Skills: Gen AI, LLMs, ML/DL/NLP, RAG, LangChain, Mistral, LLaMA, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DBs Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (e.g., Kubeflow, MLflow), Kubernetes, GitHub/Bitbucket, Azure DevOps, GPT-4 Responsibilities: Design, develop, and deploy generative AI solutions using modern ML/DL techniques. Work with large-scale datasets; handle preprocessing and model optimization. Build applications using LLMs and frameworks like LangChain, leveraging models like Mistral, LLaMA, GPT-4. Research and implement cutting-edge GenAI algorithms and architectures. Ensure Responsible AI compliance and monitor model performance post-deployment. Collaborate with cross-functional teams for solution integration and data engineering. Drive innovation by staying up to date with AI trends. Provide technical leadership, mentorship, and contribute to project governance and stakeholder communication. If you meet the requirements and are looking for a new opportunity, we'd love to hear from you! Interested candidates can send their resumes to admin@spearheadps.com OR Contact us via call/WhatsApp at 9899080360

Role & responsibilities Job Summary: We are seeking a seasoned QA professional with strong expertise in Automation Testing , Test Strategy , and emerging technologies like Generative AI . The ideal candidate will play a key leadership role in managing test teams, defining enterprise-level QA strategies, and driving test architecture for complex systems across large-scale enterprise environments. Key Responsibilities: Define and implement test strategies and frameworks for enterprise-scale applications. Lead and manage test automation initiatives using modern tools and best practices. Integrate Generative AI capabilities into the QA lifecycle for enhanced productivity and intelligent testing. Collaborate with cross-functional stakeholders including development, DevOps, and business teams to align quality goals. Mentor and manage a high-performing QA team; conduct performance reviews, capacity planning, and skill development. Own end-to-end test lifecycle management including test planning, execution, reporting, and defect management. Ensure adherence to compliance, security, and regulatory standards across test environments. Continuously evaluate and implement new tools, technologies, and processes to drive innovation in QA practices. Required Skills & Qualifications: 1015 years of experience in QA with at least 3+ years in a lead or managerial role. Proven expertise in Automation Testing using tools such as Selenium, Cypress, Playwright, or similar. Hands-on experience with AI/ML or Generative AI integration into QA workflows is a strong advantage. Strong understanding of enterprise architecture, cloud platforms, and test environments. Demonstrated success in creating and executing test strategies for large-scale applications. Excellent communication, leadership, and team management skills. Bachelor's or Master's degree in Computer Science or a related field.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Vice President, Lead Solution Architect (LSA)! Cora Ops360 is Genpact&rsquos biggest ops transformation platform, which drives radical transparency and insights to drive outcomes by enabling its users to access data points in real-time, connecting them behind the scenes, and then adapting their operations at speed and with precision. Operating with collective intelligence from our huge client base, Cora Ops30 helps its users see their business from every angle to uncover opportunities for getting better. Cora ops30 is a multi-dimensional, multi-faceted transformation program that will unlock tremendous value by targeting 3 key business outcomes - (1) revenue acceleration (2) cost reduction, and (3) insights to drive business outcomes. LSA role is a combination of excellent Solutioning mindset combining business requirements and tech feasibility, good commercial sense, innovative thinking, and excellent senior leadership/customer facing skills (executive presence, ability to listen and address specific problems, articulate acceptable and reasonable solutions, etc.). The role also involves estimation and negotiation with business and IT to lead an idea or feature from initial stages to solution agreement deal and then handover to the respective delivery team for execution. The role directly contributes to Genpact%27s priority to strengthen the infinity loop between Delivery and Transformation. LSA will string design and solution across 5 modules shown above and build relevant horizontal capabilities for modules to leverage , driving excellent user experience. Responsibilities Bring industry knowledge, world-class capabilities, innovation, standardized processes, and cutting-edge technology to solutions . Own the overall solution design while working with various workstream leads from the Sales, Functional SMEs, Digital - Tech - AI and Operations Lead cross-functional discussions to discuss and design the final solution . Ability to bring in strategic thinking on AI / ML / Gen AI led solutions including leveraging the partner ecosystem Work with internal teams to build the solution proposal and present to Genpact senior leadership Be aware of market trends/changes/competitive landscape Work independently in a cross-cultural environment, panning different time zones Qualifications we seek in you! Minimum Qualifications F&A background/domain Excellent communication - verbal and written Good presentation skills Consultative selling Creative thinking/innovative mindset Commercially Savvy Exposure to BPO industry/F & A domain with relevant work experience Prior experience in creating and executing digital solutions AWS / Service Now / Power BI knowledge Preferred Qualifications/ Skills Chartered Accountant / CPA / CFA or equivalent Strategic partnering roles Prior experience in building apps in a BPO tech environment and business landscape Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Summary: We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong experience in building Generative AI solutions from MVP to production. The ideal candidate should have hands-on expertise in multi-agent orchestration, prompt engineering, RAG architecture, and advanced Python frameworks such as LangChain, LangGraph, and AutoGen. Experience with Databricks and tool integrations (e.g., GitHub, UI components) is essential. Key Responsibilities: Design and implement Generative AI solutions, taking projects from MVP to scalable production systems. Build, orchestrate, and optimize multi-agent architectures using frameworks like LangChain, LangGraph, and AutoGen. Integrate external tools and APIs into AI agents (e.g., GitHub, internal/external UI components). Lead the development and deployment of RAG (Retrieval-Augmented Generation) pipelines. Collaborate with cross-functional teams to align AI solutions with business goals. Leverage Databricks for scalable data processing, ML model development, and deployment. Develop, refine, and evaluate prompts for LLM-based tasks (Prompt Engineering). Monitor and optimize the performance and accuracy of AI systems in production. Required Skills & Qualifications: 5+ years of experience in AI/ML, with at least 2 years focused on Generative AI solutions. Strong programming skills in Python and proficiency in GenAI frameworks (LangChain, LangGraph, AutoGen). Experience with building and orchestrating multi-agent systems. Proven track record in taking GenAI-based MVPs to full-scale production. Hands-on experience in integrating AI agents with tools and platforms (e.g., GitHub, custom UIs). Solid understanding and implementation experience with RAG architecture and prompt engineering. Proficiency with Databricks for data and ML workflows. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Nice to Have: Experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Exposure to cloud environments (Azure, AWS, or GCP). Familiarity with CI/CD for ML pipelines.

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine Perks and benefits 10% additional variable on top of fixed +mediclaim

Job Description: AI Automation Developer: Design, develop, and deploy generative AI models Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms for deploying AI applications. Preferred candidates would have experience with DU (Document Understanding) OR DA (Document Automation).

Job Title: Software Engineer AI/ML Location: Delhi/ Chandigarh Experience: 4-7years About the Role: We are seeking a highly experienced and innovative AI & ML engineer to lead the design, development, and deployment of advanced AI/ML solutions, including Large Language Models (LLMs), for enterprise-grade applications. You will work closely with cross-functional teams to drive AI strategy, define architecture, and ensure scalable and efficient implementation of intelligent systems. Key Responsibilities: Design and architect end-to-end AI/ML solutions including data pipelines, model development, training, and deployment. Develop and implement ML models for classification, regression, NLP, computer vision, and recommendation systems. Build, fine-tune, and integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, etc., into enterprise applications. Evaluate and select appropriate frameworks, tools, and technologies for AI/ML projects. Lead AI experimentation, proof-of-concepts (PoCs), and model performance evaluations. Collaborate with data engineers, product managers, and software developers to integrate models into production environments. Ensure robust MLOps practices, version control, reproducibility, and model monitoring. Stay up to date with advancements in AI/ML, especially in generative AI and LLMs, and apply them innovatively. Requirements : Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Min 4+ years of experience in AI/ML. Deep understanding of machine learning algorithms, neural networks, and deep learning architectures. Proven experience working with LLMs, transformer models, and prompt engineering. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, etc. Proficiency in Python and experience with cloud platforms (AWS, Azure, or GCP) for ML workloads. Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, etc.) and practices. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and embeddings. Exposure to real-time AI systems, streaming data, or edge AI. Contributions to AI research, open-source projects, or publications in AI/ML. Interested ones, kindly apply here or share resume at parul_gupta@softprodigy.com

We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Primary Skills : Python Data Science concepts Generative AI Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision Predictive Analytics Time Series Analysis Anomaly Detection Recommendation Systems SQL Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP)

As an AI/ML Solution Architect, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, MLOps team, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: • Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. • Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. • Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. • Leverage generative AI and large language models (LLMs) to develop innovative applications. • Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. • Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. • Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. • Ensure best practices in AI/ML model development, including versioning, testing, and validation. • Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. • Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field with proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras and experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. • Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. • Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences and experience in leading and mentoring technical teams. • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: CI/CD, Database Testing, Docker, Kubernetes, Cloud, Gen AI, Postman, Automation Testing, SaaS, Manual Testing Daxa, Inc is Looking for: Responsibilities Design, develop, and execute comprehensive test strategies for our AI governance SaaS platform, including functional, integration, regression, and performance testing. Test cloud-native GenAI applications, ensuring proper integration with enterprise data and AI security policies. Validate governance policies, access controls, and data compliance workflows. Automate tests using modern test automation frameworks suitable for SaaS environments (e.g., Cypress, Playwright, Selenium, or similar) . Perform end-to-end testing of AI workflowsfrom data ingestion to model retrieval and interaction. Collaborate closely with development team to understand features, use cases, and potential vulnerabilities. Create and maintain detailed test cases, bug reports, and QA documentation. Participate in CI/CD pipeline integration for continuous testing and deployment . Contribute to building a scalable, secure, and compliant QA environment for ongoing product evolution. Required Skills and Qualifications. 6+ years of experience in software testing, preferably in cloud-native SaaS or AI/ML platforms. Strong understanding of GenAI applications and common testing challenges around prompt execution, inference outputs, and compliance. Experienced in working with cloud-native applications and GenAI workflows. Experience with cloud platforms (AWS, Azure, or GCP) and containerized applications (Docker, Kubernetes). Familiarity with API testing tools like Postman or RestAssured and Database Testing with MySQL, PostgreSQL and MongoDB. Hands-on experience with test automation frameworks. Exposure to CI/CD pipelines and integration with tools like Jenkins, GitHub Actions, or GitLab CI. Understanding of governance, data lineage, access control, and enterprise security principles is a strong plus. Engagement Model:: Direct placement with the client This is hybrid role. Shift timings::10 AM to 7 PM

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for:-Experience in film production, animation, and content creation.-Familiarity with AI tools for content creation.If you meet these requirements and are excited to be part of a dynamic team, send us your resume at hidden_email Lets create something incredible together!,

Senior Full-Stack Developer with Node ,react .aws and Gen Ai llm Location: Chennai Hyderabad Banglore Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript HTML CSS Strong frontend development capabilities ReactJS VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx Apache configuration RAG Patterns Vector DBs AIAgents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus WebServers Experience with Nginx / Apache configuration RAG Patterns / VectorDBs / AI Agents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices.

Looking for a GEN AI Architect to lead the design, development, and deployment of AI solutions, optimize models, ensure scalability, and mentor teams on best practices. Required Candidate profile 6+ years in Google Cloud Platform 4+ years in GEN AI models and frameworks Proficiency in Python and relevant AI/ML libraries

Role : Gen AI developer/ AI ML / ML operations/Data science Experience: 4 Years - 11 Years Locations: Bangalore/Chennai/Pune/Kolkata Notice Period: Immediate to 30 Days Mandatory Skills : Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills : GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) : We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Interested candidates can share their updated CV to pravallika@wrootsglobal.in

Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Hybrid (Gurugram) What do you need for this opportunity? Must have skills required: Experience with media - image/video - workflows, Gen AI models, or visual editing apps, AWS Looking for: Were hiring a Director of Engineering to lead execution across both of our products Crop.photo (Bulk AI photo editing and banner automation) and Evolphin Zoom (enterprise-grade MAM). This role requires strong technical fluency and product judgment. Youre not expected to write code, but you must understand how modern AWS based SaaS systems are built, own delivery across teams, clarify PRD/specs, unblock engineers, and make sure what we ship meets the definition of customer product market fit. Youll work directly with the CTO, taking high-level product requirements and translating them into clear, implementation specs for the team. Youll lead engineering across two teams with very different maturity levels: one startup-fast and AI-driven, the other powering massive enterprise deployments. Youll be expected to enforce delivery timelines, priorities, and build a culture of high ownership and real ICP awareness. This role sits at the intersection of engineering, product, and execution. You wont just manage tickets youll guide the team to build things that actually work for customers. That includes asking hard questions when specs are vague, catching broken UX flows before QA does, and holding engineering team members to a standard that reflects the level we need to operate at to achieve product market fit. What Youll Do Own engineering delivery across two active products Crop.photo and Evolphin Zoom Translate high-level product inputs/PRDs from the CTO into actionable, implementation-ready specs Unblock engineers, challenge weak assumptions, and clarify gaps before they become delays Work with leads to ensure velocity stays high and step in when accountability drops Balance short-term execution with longer-term platform thinking across very different stacks Prioritize real outcomes: features that solve customer problems, not just check boxes in a PRD sheet Occasionally dive into code or architecture reviews when context or escalation demands it Help grow the team by identifying strong ICs, spotting performance issues & skill gaps early, and mentoring mid-level contributors Operate entirely in modern tooling Google Docs, Notion, Teams, ChatGPT, GitHub, YouTrack and Jira and bring in better tools when needed Coordinate with product, QA, and UX design to align expectations and catch misalignment early What You Must Bring 8+ years of engineering experience, including 2-3 years in a senior engineering management or director-level role Strong track record of delivery in B2B SaaS or product-focused startups Technical fluency across cloud-first architecture (AWS), APIs, and visual web apps 3+ years working with modern AWS infrastructure (EC2, ECS, Lambda, API gateway, CloudWatch, IAM) enough to understand cost, reliability, and trade-offs 23 years working with frontend frameworks (React) in products with visual UX or creative/editor-style interfaces Familiarity with backend stacks including FastAPI, Python, Java/Spring, and API design enough to evaluate decisions and guide implementation 1+ years of experience working with AI/ML or MLOps pipelines including deployment of models via FastAPI, Docker, or GPU-based ECS Exposure to CI/CD pipelines (AWS CodeBuild/CodeDeploy), containerization (Docker), and monitoring/debugging tools (Datadog, CloudWatch, or similar) High product IQ you know when a feature wont work for the customer, even if its technically complete Strong written communication you can write specs, help docs, and feedback notes without slowing the team down or depending on CTO/Founder to fill in the gaps Nice to Have Experience with media - image/video - workflows, gen AI models, or visual editing apps Familiarity with Evolphins or Crop.photos tech stack (FastAPI, Docker, React, Java/Spring, DynamoDB, PostgreSQL, etc.) Exposure to multi-tenant SaaS systems and cost-optimized scaling on AWS Prior role as Staff Engineer or EM in a startup - 40 people.

Required Qualifications - B/Tech or M/Tech in Computer Science/ Data Science from a reputed educational institute. - 5 to 8 years of proven relevant experience in data architecture & AI/ML working for a good MNC company. - Work experience/Knowledge of the healthcare domain is highly desirable Apply machine learning, deep learning & Gen AI tools, focusing on doing feasibility studies, developing proof of concept implementaons, and establishing robust soluon blueprint for subsequent implementaon by Engineering teams. - Keep track of the latest emerging technologies, idenfy data trends, and perform complex data analysis and analycs using AI /ML & Gen AI. - Use Generave AI (GEN-AI), predicve and prescripve analycs to generate innovave ideas and soluons. - Yoke NLP and computer vision techniques to extract insights from unstructured clinical/healthcare data. - Apply core data modeling, data engineering principles and pracces, leveraging large datasets to design AI powered soluons. - Perform data analysis and data visualizaon to deliver data-driven insights. - Develop architecture blueprints, strategies for building robust AI powered soluons leveraging large datasets. - Define best pracces, pracces, standards for developing and deploying AI models to producon environments using MLOps. - Providing technical guidance and support to Data Engineers, Business users, and soware applicaon team members - Maintaining documentaon and ensuring compliance with relevant AI governance, regulaons, and standards. - Communicate effecvely with both technical and non-technical stakeholders. - Collaborate with cross-funconal teams, including business stakeholders, data sciensts, data engineers, and IT teams, to define future data management architecture, aligning with value creaon opportunies across the business. Competencies: - Good understanding of strategic and emerging technology trends and the praccal applicaon of exisng and emerging technologies to new and evolving business and operang models, especially AI/ML, GEN AI. - Ability to develop architecture blueprints, strategies. - Ability to effecvely communicate and present to senior-level execuves and technical audiences. - Proficiency in architecng soluons using Cloud Nave approach. - Well versed with Data modelling techniques and tools (Star Schema (de-normalized data model), Transaconal Model (Normalized data model) - Proven skills in building data systems that are reliable, fault tolerant, performing and at the same me equally economical from a cost perspecve. - Listens to the ideas, concerns of stakeholders, and develops an understanding of how their ideas relate to others - and acts to address concerns. - Idenfies risks and develops risk management plans/processes and successfully implements/operates them. - Possess a deep personal movaon to develop new efficient, effecve, and valuable ways to accomplish team tasks. - Demonstrates crical\out of box thinking and the ability to look at problems from different points of view and tries to find soluons that meet the needs of those outside of the team including staff and members. - Proacvely experiments with new digital technologies and be a technology evangelist sharing the key learning with colleagues.