1228 Aiml Jobs - Page 36

Job Title : AI Engineer Location: Chennai Experience: 5+ Years (Hands-On Data Science & AI) Employment Type: Full-Time Work type - Work from office. About the Role We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure. Key Responsibilities Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services). Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows. Required Skills & Qualifications 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems. Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design. Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers. Strong knowledge of Azure Cloud including Azure ML, Azure Functions, Azure DevOps. Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models into production-scale environments. Nice to Have Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.). Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract). Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining. Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments. What We Offer Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation. Access to top-tier tools, frameworks, and cloud platforms. Remote flexibility and career growth in an innovation-first team. Impactful work transforming legacy loan operations through AI. Interested candidates kindly share your resume to SGrace@ca-usa.com.

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 AI Gigafactory, 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 agentic AI, 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 genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Record to Report- GPO In this role, GPO lead is responsible for directing and executing GPO roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the GPO strategy would be with the lead role. Responsibilities . Thorough Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationships and deliver transformation roadmap . Lead large teams for transformation resources to deliver program . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value Qualifications we seek in you! Minimum Qualifications . Experience in Oracle Fusion, Tririga, Blackline, Service Now etc. or similar technology and technology deployments . Experience in driving RPA program and deploying RPA across platforms . Extensive experience in the Record to Report domain should have led transformation across all sub-processes like Manual Journals, Fixed Asset, Reconciliation etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . Experience in managing client discussion and driving large transformation programs . Experience in deploying AIML or Generative AI solution and driving analytics programs . Project Management skills -Strong Influencing skills and clarity of thought on effective project management are required . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . Delivers oral and written communications that have clarity and impact . Creates a team environment of accountability and commitment for reaching project goals . Must be able to work in dynamic and tight deadlines to meet the project schedule . Exposure to business metric improvement initiatives like close optimization . Understanding of Defining SLA/KPI and linking it to business metrics . Experienced Process improvement and Automation expert with domain exposure in F&A Preferred Qualifications/ Skills . Lean Six Sigma- GB / BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation 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.

Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities - GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. - Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. - AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. - Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. - Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. - Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) - Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. - Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. - Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience - Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. - Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). - Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac - Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. - Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. - Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. - GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. - Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. - LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: - Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. - Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. - Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. - Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills - Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). - Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. - Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. - Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien

About the Role: We are looking for a talented and motivated Senior GIS & Python Developer to join our team in Noida and support our remote team in the UK. This role focuses on geospatial data processing, analysis, and automation using Python and GIS platforms such as ArcGIS and QGIS. You will play a key role in developing scalable spatial data workflows and supporting land management, environmental, and hydrological projects. Key Responsibilities: Develop robust Python scripts and tools for spatial data processing and automation. Conduct geospatial analysis using ArcGIS, QGIS, or equivalent platforms. Design and implement automated workflows for data ingestion, transformation, and visualisation. Collaborate with cross-functional teams, including data technicians, data engineers, database specialists, and data scientists. Document technical processes and support project delivery to meet quality and timeline expectations. Requirements Required Skills: Strong proficiency in Python, particularly for geospatial applications in automation. Hands-on experience with GIS platforms such as ArcGIS and QGIS. Solid understanding of geospatial data formats and structures. Proficiency in libraries such as GDAL, GeoPandas, Rasterio, and Shapely. Working knowledge of SQL and FME. Desirable Skills: Experience in processing remote sensing data, including satellite imagery and LiDAR. Understanding of environmental modelling concepts. Familiarity with cloud-based geospatial platforms (e.g., Google Earth Engine, AWS, GCP). Experience with ArcGIS library modules and ArcPy scripting. Exposure to .NET/C# or Java programming.

Role & responsibilities Build responsive and scalable web applications using React.js , Node.js , HTML, CSS, and JavaScript Integrate AI capabilities using OpenAI API , Azure AI SDK , or similar tools Develop and maintain robust REST APIs and ensure secure and efficient backend processes Work closely with key stakeholders to translate business requirements into functional code Optimise UI for speed and scalability using reusable components and frontend performance techniques Write clean, maintainable, and well-documented code across the stack Deploy and monitor applications using Docker, Git, and CI/CD pipelines Participate in code reviews, testing, and debugging Preferred candidate profile Experience: 3 to 6 years in full stack development with hands-on exposure to both frontend (React.js) and backend (Node.js) technologies Proven experience in AI API integrations such as OpenAI , Azure or similar Strong understanding of JavaScript , HTML5 , CSS3 , and component-based UI development Comfortable working in fast-paced startup environments with minimal supervision Exposure to cloud platforms (Azure/AWS) and CI/CD pipelines Demonstrated ability to deliver scalable, well-documented, and tested applications Good communication skills and the ability to work collaboratively with cross-functional teams Passionate about solving real-world problems and contributing to product-led growth

Role & responsibilities Design, develop, and maintain scalable full stack applications using React.js , Node.js , HTML , CSS , and JavaScript Implement, integrate, and optimize AI/ML capabilities using OpenAI , Azure AI , or similar APIs Own and manage CI/CD pipelines using Docker , GitHub Actions , Nginx , or other tools Work with cloud infrastructure ( Azure / AWS ) to deploy and monitor services Ensure system reliability, uptime, and performance through proactive DevOps practices Collaborate with cross-functional teams (product, design, QA) to align development with business goals Automate repetitive tasks, perform infrastructure scripting, and manage staging/production environments Preferred candidate profile 3-8 years of experience in full stack development with exposure to DevOps practices Prior experience integrating AI/ML models via API Experience in deploying full stack applications to cloud platforms Strong analytical, debugging, and troubleshooting skills Excellent communication and documentation abilities Startup-ready mindset with ability to take ownership

At Ecolab, you can help take on some of the worlds most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact? The AI Operations Manager is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability. What’s in it For You: You will join a growth company offering a competitive salary and benefits. The ability to make an impact and shape your career with a company that is passionate about growth. The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best. Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments. What You Will Do: Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies Maintain documentation on AI processes Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Master’s degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries

vConstruct , a Pune based Construction Technology company seeks a Project Manager for their AI/ML team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Project Planning & Execution Define and manage AI/ML project scope, timelines, deliverables, and risk profiles. Build detailed project roadmaps with clear milestones and sprint plans. Oversee the complete AI lifecycle from use-case discovery to model deployment. Cross-Functional Collaboration Act as the strategic link between data scientists, ML engineers, ML Ops, domain SMEs, and Initiative Leads. Facilitate agile ceremonies including sprint planning, retrospectives, and stakeholder reviews using GitHub or Azure DevOps. Risk & Dependency Management Anticipate and mitigate risks around data readiness, infrastructure, and cross-team dependencies. Manage change control, escalations, and course corrections proactively. Governance & Documentation Maintain complete project documentation including use case briefs, dashboards, decision logs, and ROI reports. Ensure compliance with internal standards, policies, and AI governance frameworks. Qualification: Bachelors or Masters in engineering, Data Science, Computer Science, or related field. Certifications in PMP, PMI-ACP, or Agile/Scrum methodologies. Relevant PM Degrees in case any. Familiarity with cloud-based AI platforms (Azure ML, AWS Sagemaker, etc.) 8-10 years of professional experience with atleast 4 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Understanding of Python & SQL will be good to have. Proficiency in ML, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

Proven experience as a Technical Project Manager or in a similar role within an Agile environment . Ability to own and manage the product backlog, sprint planning , ensuring it is aligned with client needs and business objectives. Experience with successfully implementing production technology products with an advanced understanding of the methods, principals, and process necessary to set priorities of development teams to successfully productionize a technology product. Knowledge of key cybersecurity tools(e.g. endpoint detection & response, firewall logs, proxy logs, and vulnerability reports), how they are used in AI/ML solutions/metrics and visualizations , how this improves the security posture of the Bank. Collaborate with the Scrum team to develop and deliver high-quality products.

Role:Senior IT Recruiter Experience: 2-6yrs Required skills and qualifications • 2+ years of experience in recruitment • Exceptional communication, interpersonal, and decision-making skills Exposure to niche technologies or domains such as * SAP , Salesforce , Embedded , VLSI *DevOPs , Cloud (AWS/GCP/Azure), AI/ML *Cybersecurity , Blockchain ,Data Engineering • Expertise in the areas of Sourcing, Screening, shortlisting, interview coordination, negotiating, and follow-up. and internet search methods • Familiarity with job boards and computer systems designed specifically for HR • Proven success in conducting interviews using various methods (phone, video, email, in-person) *Ability to close critical , hard to fill roles -- Thanks & Regards Anjitha IT Recruiter Mobile- 8157970261 Website www.acesoftlabs.com Email: Anjitha.jr@acesoftlabs.com Future Ready

Job Description: AI Engineer (Junior / Associate Level) About the Role We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions. Key Responsibilities Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks. Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc. Integrate Large Language Models (LLMs) into applications via APIs or custom fine- tuning. Build data pipelines for training and inference, ensuring model performance and robustness. Collaborate with software developers, product managers, and data engineers to turn AI models into usable products. Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development. Optimize model performance and scale AI solutions for production. Required Skills & Experience Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 2 to 4 years of hands-on experience in machine learning and deep learning. Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers. Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack. Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows. Strong analytical and problem-solving skills. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Good to Have Experience building AI chatbots or virtual assistants. Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate). Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc. Experience with RESTful APIs or microservices architecture. Participation in Kaggle competitions or open-source AI projects. What We Offer Opportunity to work on real-world AI applications and products. A collaborative, learning-first environment. Exposure to enterprise-grade AI deployments and tools. Flexible working hours and remote work options. Competitive compensation and career growth path.

Job Description: We are seeking a highly skilled Automation Test Engineer to join our team. The successful candidate will be responsible for designing, developing, and executing manual and automated tests to ensure the quality and reliability of our software products. As an Automation Test Engineer, you will work closely with the product and development team to identify test scenarios, create test scripts, and automate test cases to streamline the testing process.Experience with AI-powered test automation tools or frameworks is a strong plus. Responsibilities: Collaborate with cross-functional teams to understand product requirements and develop comprehensive test plans. Ensure comprehensive test coverage and validate test results. Execute manual and automated tests, analyze test results, and report defects to the development team. Design and implement automation test scripts using industry-standard tools and technologies. Maintain and enhance existing automation test suites to accommodate changes in software functionality. Stay updated on emerging trends and technologies in test automation and incorporate them into our testing processes. Requirements: BE/B.Tech/MCA in Computer Science, Engineering, or related field. Experience in software testing with a focus on test automation. Expertised in at least one programming language (Java / Python). Proficiency in at least one of the Databases (SQL/NoSQL). Hands-on with automation tools such as Rest Assured, PlayWrite/Selenium, or Appium. Knowledge of performance test tools such as Jmeter or Gatling. Strong understanding of software testing principles, methodologies, and practices. Excellent problem-solving skills and attention to detail. Ability to work independently and in a team environment. Strong communication and interpersonal skills. Experience with Agile/Scrum development methodologies. Working knowledge or experience in AI/ML-based testing frameworks is an added advantage.

Aziro is hiring AI Engineers to join immediately. Exp - 6+ yrs Location - Chennai, Pune, Noida, Bangalore One level will be FTF interview (either L1 or L2) Should have hand- on experience in AI esp. with Gen AI Aziro is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. Were looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partners business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Roles and Responsibilities Collaborate with cross-functional teams to integrate AI models into existing systems. Design, develop, and deploy AI solutions using AIMl, AI Solutions, and AI Techniques. Develop and maintain complex AI algorithms for data analysis and prediction. Ensure high-quality delivery of projects by adhering to project timelines and requirements. Provide technical guidance on AI best practices to junior team members. Desired Candidate Profile 6-11 years of experience in developing AI applications using various tools such as AIML, AI Solutions, etc. . Strong understanding of AI algorithms, techniques, and frameworks (e.g., deep learning). Proficiency in programming languages like Python or Java; knowledge of SQL is an added advantage.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

Role: Prompt Engineer Location: Hyderabad / Indore / Bangalore Job Description: 1. Proven experience as a Prompt Engineer or in a related AI/NLP role. 2. Strong understanding of AI, machine learning, and NLP concepts and technologies. 3. Proficiency in programming languages relevant to AI (e.g., Python) and experience with AI tools such as ChatGPT or similar LLMs. 4. Excellent analytical, problem-solving, and communication skills. 5. Experience in data analysis, experimental design, and prompt optimization techniques (e.g., zero-shot, few-shot, chain-of-thought prompting). 6. Ability to collaborate effectively with cross-functional teams and manage multiple projects. 7. Attention to detail, creativity, and a passion for leveraging AI to solve real-world problems. 8. Relevant degree or certifications

Python, Deep Learning, Object Detection, Classification, Segmentation., GPU acceleration (CUDA, cuDNN). Model Optimization (pruning, quantization), deploying models to edge devices. Required Candidate profile willingness to explore and contribute to Generative AI and cloud-based AI solutions, C/C++., AWS Cloud AI/ML tools, exposure to GenAI frameworks like OpenAI, Stable Diffusion

Dear Aspirants, Immediate Hiring!!!!! Position: Python Developer Location: Bangalore Mandatory skills: Python, OOPs, AI/ML, Exp : 5- 10yrs (Only) You can register by sharing your CV, Notice period and Expected CTC to 9363648148 Whatsapp for immediate response (Dont call-Will be occupied in meetings) . Note: We are not considering candidates less than 5years experience and notice period higher than 10 days are not considered. We are looking for a talented Senior Software Developer with strong Python skills. You will join our AI Solutions team. We focus on creating advanced AI systems in the Electrification field. In this role, you will work with AI/ML engineers, data scientists, and cloud architects. Together, you will develop robust, scalable software solutions using the latest AI technologies. This is a great chance to work where AI innovation meets high-performance backend systems and cloud-native development. Responsibilities: 1. Write high-quality, testable, and maintainable Python code using object-oriented programming (OOP), SOLID principles, and design patterns. 2. Develop RESTful APIs and backend services for AI/ML model serving using FastAPI. 3. Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and Generative AI models into production environments. 4. Contribute to software architecture and design discussions to ensure scalable and eicient solutions. 5. Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable deployments. 6. Design for observability, incorporating structured logging, performance monitoring, and alerting mechanisms. 7. Optimize code and system performance, ensuring reliability and robustness at scale. 8. Participate in code reviews, promote clean code practices, and mentor junior developers when needed. Required Qualifications: • Bachelors or Masters degree in Computer Science, IT, or a related field. • 5+ years of hands-on experience in software development, with a focus on Python. • Deep understanding of OOP concepts, software architecture, and design patterns. • Experience with backend web frameworks, preferably FastAPI. • Familiarity with integrating ML/DL models into software solutions. • Practical experience with CI/CD, containerization (Docker), and version control systems (Git). • Exposure to MLOps practices and tools for model deployment and monitoring. • Strong collaboration and communication skills in cross-functional engineering teams. • Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio, OpenAI Service). Preferred Qualifications: • Experience in Rust is a strong plus. • Experience working on high-performance, scalable backend systems. • Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or OpenTelemetry. • Understanding of data engineering concepts, ETL pipelines, and processing large datasets. • Background or interest in the Power and Energy domain is a plus.

Hiring: Process Engineers (2 - 7 Years Experience) Location: Thane (W), Mumbai, Maharashtra Company: Ingenero Technologies (India) Pvt. Ltd. Website: www.ingenero.com About Ingenero: Ingenero Inc, USA is a high-end consulting and engineering company and a recognized world leader in technical solution design and profitability improvement based on the latest tool technology available in the current market. We are headquartered in Houston, Texas and all our deliveries are managed from our HQ and technology center in Mumbai, India. INGENERO has a strong execution team with over 8000 man-years of experience; 500+ engineers (~450 Process Engineers) trained at leading engineering and manufacturing companies. INGENERO leverages state-of-the-art software tools (proficiency of more than 100 modeling tools) and techniques with the best available engineering and scientific graduates from top universities/companies across the globe. Role: Data Analyst / Scientist Responsibilities: - - Lead the design, development, and deployment of comprehensive analytics solutions for petrochemical and refinery units. Translate business requirements into scalable, data-driven models and solutions. - Perform data cleaning, preprocessing, and feature engineering to create high-quality datasets for modeling. - Develop, validate, and maintain machine learning and deep learning models using Python, focusing on practical, real-world applications for client-specific challenges. - Apply advanced statistical techniques to analyze large datasets, uncovering trends, patterns, and insights that drive informed decision-making. - Collaborate closely with a multi-disciplinary team, including Process Engineers, Data Engineers, and UI Developers, to ensure the successful delivery of project objectives. - Maintain comprehensive and detailed documentation for all projects, ensuring that processes, methodologies, and outcomes are clearly recorded. Prepare and present reports that communicate findings, methodologies, and recommendations to stakeholders in a clear and actionable manner. - Researching and staying updated on emerging data science tools, techniques, and machine learning models. Requirements: - 2-7 years of experience in predictive, descriptive and prescriptive modeling within the Analytics and Machine Learning space. Experience in the petrochemical or refinery industry is highly desirable but not mandatory. - Strong proficiency in Python, with hands-on experience in machine learning frameworks such as Keras and Scikit-learn. Demonstrated ability to develop, deploy, and maintain machine learning and deep learning models in production environments. - In-depth understanding of statistical analysis techniques, including time series forecasting and anomaly detection. - Extensive experience with Python, MySQL and Git. - Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Proven ability to work effectively in a collaborative, cross-functional team environment. - Highly self-motivated with a strong desire to learn, explore, and integrate new technologies and methodologies. - Excellent problem-solving skills and a client-focused mindset. - Familiarity with cloud-based data processing and analytics platforms along with previous experience with Azure, Databricks, and PySpark is a plus. Interested? We'd love to hear from you! Please share the following details with your application: Total Experience Current CTC Expected CTC Notice Period Current Location Plants/Processes Handled Simulation Software Known Academic Scores (10th, 12th, B.Tech, M.Tech) Contact: Shweta Shetty Borse Human Resources Ingenero Technologies shweta@ingenero.com +91 22 6176 4667 Corporate Office: Unit No. 2, 8th Floor, A Wing, iThink Techno Campus, Pokhran Road No. 2, Thane (W), Mumbai, Maharashtra 400607.

Job description Position: Computer Vision Engineer Experience Level : 5-12 yrs Location : Madurai/Coimbatore Type : Full-time Vacancy :03 Note: Immediate Joiners preferred Job Overview : We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision solutions. Key Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements : Bachelor's degree in Computer Science or a related field and above. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model compression/optimization. Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a team. Preferred Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. Interested candidates may email their resumes to mail to: info@sumanastech.com Or contact via Call or WhatsApp at 9952870443 8870444768 You can take a look at our Company Profile here: https://www.sumanastech.com/

Company Name: Optum Experience: 3-5 Years Location: Gurugram (Hybrid Model) Interview Mode: Virtual Interview Rounds: Coding Assessment, 2 Rounds Notice Period: Immediate to 45 days Primary Responsibilities: Develop and maintain cloud-hosted applications leveraging latest tech stacks Utilize AI tools such as GitHub Copilot to enhance productivity and efficiency Actively develop threat prevention mechanisms and drive security best practices Continuously work to remediate critical vulnerabilities Hold self and team accountable for producing high-quality code Develop code meaningfully for shared components across products and capabilities Continuously learn and look for opportunities to innovate Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

Senior Manager AI What can you expect in a Senior Manager role with TaskUs: Youll be responsible for identifying and accelerating our most critical opportunities to leverage AI technologies to improve business outcomes. This role will work closely with cross-functional teams to define, build and ensure successful execution of AI solutions that align with the company's strategic goals. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. In addition to identifying opportunities, you will be expected to lead a team and help them implement various proof of concepts and innovate AI solutions. Role & responsibilities Collaborate with business leaders to identify and prioritize AI use cases with the highest potential impact. Develop a clear vision for how AI can be used to improve specific business processes or customer experiences. Stay informed about the latest AI trends and identify potential applications for the business. Lead the evaluation of potential AI solutions, including conducting proof-of-concepts and pilots. Develop and manage the product roadmap, prioritizing features and optimizations that support AI acceleration and scalability. Work closely with data scientists and ML engineers to ensure data readiness & classification, architecture scalability, performance standards for AI models, with a focus on accelerating the training and deployment lifecycle Establish and enforce performance standards for AI models, with a specific focus on accelerating the model training and deployment lifecycle (MLOps). Own results of the end to end AI workstream and track key performance indicators to measure product success and AI acceleration Leverage data and qualitative findings for quick product iterations via rapid user feedback cycles Influence organization wide initiatives and have wide accountability towards driving impact via the AI acceleration Advocate for reusability of AI capabilities where applicable across customer journey points Delivering forward-thinking solutions on-time and on budget. Coordinating and leading UAT testing efforts. Preferred candidate profile Bachelors degree or four or more years of work experience. 10 or more years in product management; experience in AI or machine learning People management experience. Three or more years experience working on complex projects that involve technology implementation and innovation for large enterprises Solid understanding of AI concepts, ML model architectures, computational requirements, and performance optimization techniques for AI workloads. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Proven ability to work effectively in cross-functional teams and communicate complex concepts, technical tradeoffs and value propositions to both technical and non-technical stakeholders Strong leadership, negotiation, and problem-solving skills. Passion for innovation and a commitment to driving business value through technology. Work mode - Hybrid. Work Location - Chennai, Navi Mumbai, Gurugram, Mohali, Indore. Shift - Mid Shift.

Senior Manager AI What can you expect in a Senior Manager role with TaskUs: Youll be responsible for identifying and accelerating our most critical opportunities to leverage AI technologies to improve business outcomes. This role will work closely with cross-functional teams to define, build and ensure successful execution of AI solutions that align with the company's strategic goals. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. In addition to identifying opportunities, you will be expected to lead a team and help them implement various proof of concepts and innovate AI solutions. Role & responsibilities Collaborate with business leaders to identify and prioritize AI use cases with the highest potential impact. Develop a clear vision for how AI can be used to improve specific business processes or customer experiences. Stay informed about the latest AI trends and identify potential applications for the business. Lead the evaluation of potential AI solutions, including conducting proof-of-concepts and pilots. Develop and manage the product roadmap, prioritizing features and optimizations that support AI acceleration and scalability. Work closely with data scientists and ML engineers to ensure data readiness & classification, architecture scalability, performance standards for AI models, with a focus on accelerating the training and deployment lifecycle Establish and enforce performance standards for AI models, with a specific focus on accelerating the model training and deployment lifecycle (MLOps). Own results of the end to end AI workstream and track key performance indicators to measure product success and AI acceleration Leverage data and qualitative findings for quick product iterations via rapid user feedback cycles Influence organization wide initiatives and have wide accountability towards driving impact via the AI acceleration Advocate for reusability of AI capabilities where applicable across customer journey points Delivering forward-thinking solutions on-time and on budget. Coordinating and leading UAT testing efforts. Preferred candidate profile Bachelors degree or four or more years of work experience. 10 or more years in product management; experience in AI or machine learning People management experience. Three or more years experience working on complex projects that involve technology implementation and innovation for large enterprises Solid understanding of AI concepts, ML model architectures, computational requirements, and performance optimization techniques for AI workloads. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Proven ability to work effectively in cross-functional teams and communicate complex concepts, technical tradeoffs and value propositions to both technical and non-technical stakeholders Strong leadership, negotiation, and problem-solving skills. Passion for innovation and a commitment to driving business value through technology. Work mode - Hybrid. Work Location - Chennai, Navi Mumbai, Gurugram, Mohali, Indore. Shift - Mid Shift.

Job Description Summary We are looking for top notch researchers to be part of our growing Software Controls and Optimization team at GE Aerospace Research. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business, engine faults to designing inspections solutions for aircraft engines Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: As a Lead Research Engineer Machine Learning, you will: Work independently as well as with a diverse team to develop and apply advanced technology solutions to GE Aerospace products and services using modeling, optimization, estimation, or detection technologies, leveraging AI/ML to augment a physics-based understanding of systems. Validate performance of developed solution through simulations and application on target product to mature technology to be transferred to the GEbusiness. Document technology and results through patent applications, technical reports, andpublications. Stay current with advances in system technologies to seek out new ideas andapplications. Work in a team environment with colleagues across GE Aerospace Research, and business units. Ideal candidate: Should have experience in machine learning Required Qualifications Doctorate degree in an Engineering field with a minimum of 3 years of experience in design of estimation, controls, AI/ML, or fault detection algorithms. Or a Masters degree in an Engineering field with a minimum of 7 years of experience in AI/ML, physics-based modeling, estimation, or fault detection algorithms. Knowledge and application of data analytics, optimization, estimation, or detectionalgorithms. Proficiency in Python or Matlab and familiarity with C & C++. Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems (e.g. mechanical systems, aviation systems, power systems, etc.). Demonstrated ability to lead teams and execute on large projects. Desired Qualifications Experience with end-to-end development of digital products with exposure to problems in the aero/thermal domain. Strong analytical skills, familiarity with robust modeling/analysis techniques. Proficiency with use of NPSS for aerospace applications. Strong interpersonal skills. Self-motivated and ability to work independently and as part of a team. Experience leading teams which includes setting up schedules, milestones, technical reviews, tracking funding etc. Ability to communicate effectively with senior leadership. Demonstrated ability to take an innovative idea from a concept to a product. Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-DM3 Additional Information Relocation Assistance Provided: Yes

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Generative AI System Design: Architect and implement advanced generative AI models, focusing on applications such as image and text generation, content creation, and synthetic data generation. Model Development and Optimization: Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives. AI/ML Integration: Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Cross-functional Collaboration: Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives. Innovation Leadership: Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Ethical AI Implementation: Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements Your Profile Education & Experience: bachelors or masters degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Technical Skills: Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch. Experience with Azure OpenAI, Open Source LLMs, and LangChain. Data Science Expertise: Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Techniques/Approaches: Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Domain Knowledge: Familiarity with NLP or computer vision related to generative AI applications. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.