9814 Tensorflow Jobs - Page 36

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams—including data scientists, engineers, and business leaders—to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities Architect and implement AI solutions: Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams: Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle—from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies: Assess AI/ML platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize: Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials – You Will Have A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e.g., AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred – You Might Also Have Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office. Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Company Description MXICODERS INC is a company where innovation meets opportunity. Our mission is to empower businesses with cutting-edge digital capabilities, enabling growth in a rapidly evolving technological landscape. We specialize in transforming complexity into opportunity, fostering a culture of innovation and adaptability. Join us on this journey to redefine industry standards and turn visionary ideas into reality. Connect with us on LinkedIn to be a part of our community shaping the future. Role Description Data Engineer / AI/ML Minimum Requirements Essential Technical Skills AI/ML (Required) 2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) Production deployment of at least one AI system that's currently running in production LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient) Function calling/tool use - ability to build AI systems that can call external APIs and functions Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns Python Development (Required) 3+ years Python development with strong fundamentals API development using Flask or FastAPI with proper error handling Async programming - understanding of async/await patterns for concurrent operations Database integration - working with PostgreSQL, MySQL, or similar relational databases JSON/REST APIs - consuming and building REST services Production Systems (Required) 2+ years building production software that serves real users Error handling and logging - building robust systems that handle failures gracefully Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform) Git/version control - collaborative development using Git workflows Testing fundamentals - unit testing and integration testing practices Business Process (Basic Required) User requirements - ability to translate business needs into technical solutions Data quality - recognizing and handling dirty/inconsistent data Exception handling - designing workflows for edge cases and errors Professional Experience (Minimum) Software Engineering 3+ years total software development experience 1+ production AI project - any AI/ML system deployed to production (even simple ones) Cross-functional collaboration - worked with non-technical stakeholders Problem-solving - demonstrated ability to debug and resolve complex technical issues Communication & Collaboration Technical documentation - ability to write clear technical docs and code comments Stakeholder communication - explain technical concepts to business users Independent work - ability to work autonomously with minimal supervision Learning agility - quickly pick up new technologies and frameworks Educational Background (Any One) Formal Education Bachelor's degree in Computer Science, Engineering, or related technical field OR equivalent experience - demonstrable technical skills through projects/work Alternative Paths Coding bootcamp + 2+ years professional development experience Self-taught with strong portfolio of production projects Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have] Demonstrable Skills (Portfolio Requirements) Must Show Evidence Of One working AI application - GitHub repo or live demo of LLM integration Python projects - code samples showing API development and data processing Production deployment - any application currently running and serving users Problem-solving ability - examples of debugging complex issues or optimizing performance Nice to Have (Not Required) Financial services or fintech experience Vector databases (Pinecone, Weaviate) experience Docker/containerization knowledge Advanced ML/AI education or certifications Qualifications Strong understanding of Machine Learning, Deep Learning, and Natural Language Processing techniques Experience with programming languages such as Python, R, or similar languages Proficiency in frameworks like TensorFlow, PyTorch, or Keras Data preprocessing and analysis skills Strong problem-solving skills and ability to work in a collaborative environment Excellent written and verbal communication skills Experience in blockchain technology and applications is a plus Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product development"”from prototyping to production. Required Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. 1"“10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development . Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow , PyTorch , or ONNX . Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Explore new features in GPU, including but not limited to Ray Tracing, Mesh Shading, Anti Aliasing, Super Resolution. Exploration tasks could include literature survey, implementation, research on short comings and propose new changes that benefit GPU power, performance or functionality. Architects, designs, implements, verifies, and optimizes various performance and power features of GPU cores. Responsible for building functional modeling simulations, developing software, tools, and tests for ray tracing graphics, running benchmarks for different applications Minimum Qualifications: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. About The Role Qualcomm is the largest fabless design company in the world. Qualcomm provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. Our chipsets power a variety of products; tablets, smartphones, e-readers and other devices, and our digital design team is at the core of all of them. Depending on your technical area, you will be responsible for becoming a subject matter expert and go-to person for other members of your team. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. Qualcomm's Adreno Graphics Research Team is responsible for research, prototyping, profiling, analysis and optimization of emerging 3D Computer Graphics algorithms such as Ray Tracing, Mesh Shading, Workgraphs to name a few. The team works at the intersection of Computer Graphics and GPU architecture, identifying architectural inefficiencies in existing Adreno GPU hardware (HW) and proposing next-generation GPU HW architectural improvements. Position Overview: - Develop, analyze and optimize emerging graphics workloads. - Build functional models and microbenchmarks to obtain a deeper understanding of underlying GPU HW and make recommendations based on analysis. - Identifying and quantifying performance bottlenecks and resolving the same through either HW or SW (e.g. GPU Compiler or Driver) optimizations. - Work closely with HW Architects to develop new features to define Next Gen GPU Architecture. - Explore emerging algorithms in 3D Graphics domain including literature survey, competitive analysis, research on short comings and propose new changes that benefit Adreno GPU's performance, power and/or functionality. Minimum Qualifications - Bachelor's or higher degree in Computer Engineering, Computer Science or related field. - 8+ years Systems Engineering or related work experience Preferred Qualifications - Master's or higher degree in Computer Engineering or Computer Science. - 7+ years of relevant GPU System Engineering or Research experience. - Expertise with Vulkan, DirectX. OpenGL, or OpenGL ES - Familiar with modern PC/console game engine architectures - Familiarity with 3D graphics profilers and debuggers such as Snapdragon Profiler, RenderDoc, Pix, NSight, etc" Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: AI Engineer Location: Hyderabad,Chennai,Bangalore Experience: 3 - 6 Years Contact Informations: Click here to upload your CV / Resume We accept PDF, DOC, DOCX, JPG and PNG files SUBMIT APPLICATION Verification code successfully sent to registered email Invalid Verification Code! Thanks for the verification! Our support team will contact you shortly!.

Role & responsibilities Assist in designing, training, and evaluating machine learning and deep learning models. Work on GenAI use cases such as text summarization, question answering, and prompt engineering. Build applications using LLMs (like OpenAI GPT, LLaMA, Mistral, Claude, or similar). Preprocess and manage large datasets for training and inference. Implement NLP pipelines using libraries like Hugging Face Transformers. Help integrate AI models into production-ready APIs or applications. Stay updated with advancements in GenAI, ML, and LLM frameworks. Preferred candidate profile Knowledge of vector databases (FAISS, Pinecone, etc.) LangChain or LlamaIndex (RAG pipelines) Experience with Kaggle competitions Awareness of ethical AI principles and model limitations Selection Process: Technical Assessment Python + ML/GenAI basics Technical Interview – Coding + Project Discussion Final Selection – Based on combined performance

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–5 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Skills: edge ai deployment,adaptation,speech emotion recognition,llm fine-tuning,tensorflow,models,intelligence,model optimization,speech,speech-to-speech,data,openai,hugging face,llm,optimization,agents,langchain,pytorch,python

We are seeking a skilled and passionate Senior AI Developer & Full Stack Engineer to join our innovative team. This role is ideal for someone who is enthusiastic about AI technologies and has hands-on experience building chatbots, implementing image detection tools (e.g., number plate recognition, car damage detection), and developing full-stack web applications. Role & responsibilities Design and develop AI-powered chatbots to assist end-users. Implement image-based AI tools such as: Vehicle number plate detection Car damage recognition Apply prompt engineering and context engineering techniques to improve AI model accuracy and relevance. Work with at least one AI/ML framework (e.g., TensorFlow,PyTorch, OpenCV, or Hugging Face). Design database schemas and interact with both SQL and NoSQL databases (MySQL/PostgreSQL and MongoDB). Build responsive, interactive front-end interfaces using JavaScript frameworks (e.g., React, Vue, or vanilla JS). Collaborate with cross-functional teams to integrate AI capabilities into the web platform. Write clean, scalable code and maintain documentation. Communicate technical concepts clearly in English to team members and stakeholders. Required Skills & Qualifications: 5+ years of experience in software development, with at least 1 year in AI/ML projects. Strong programming skills in Python . Hands-on experience with at least one AI/ML library or framework. Solid conceptual understanding of how AI and machine learning work. Experience in prompt engineering and context-aware AI applications . Proficiency in SQL and MongoDB . Proven experience in full-stack development , especially with JavaScript (React, Vue, or similar frameworks). Ability to manage projects from prototyping to deployment. Excellent written and verbal communication skills in English . Nice to Have: Experience with Python FastAPI or PHP OpenSwoole API development. Familiarity with cloud platforms (AWS, GCP, Azure). Experience in automotive, image recognition, or related domains. Knowledge of RESTful API design and microservices architecture

Job Title: Software Engineer - Machine Learning Engineer – LLM/GenAI Focus Location: Airoli, Navi Mumbai Experience Required: Minimum 2 years’ relevant experience in Python Key Responsibilities Design, develop, and implement machine learning (ML) and natural language processing (NLP) models and solutions. Build, fine-tune, and deploy Large Language Models (LLMs) and Generative AI (GenAI) applications. Write, maintain, and optimize Python code for ML and NLP projects. Work with databases to collect, clean, and manage datasets for model training and evaluation. Deploy ML models and Python applications on public cloud platforms (Azure/AWS). Collaborate with cross-functional teams to define business requirements and deliver solutions. (Good to have) Support and implement best practices for LLMOps, including monitoring and lifecycle management of LLM/GenAI models. Requirements Relevant experience: Minimum 2 years in machine learning, NLP, or AI solution development. Python programming: 1–2 years of hands-on experience. ML/NLP: 2+ years practical experience building and deploying ML/NLP solutions. LLM and GenAI: At least 1 year working with LLM (Large Language Models) and Generative AI technologies. Databases: 1+ years of experience working with any modern database (SQL/NoSQL). Cloud Deployment: 1+ years of experience deploying ML models or Python applications on Azure or AWS. Good to have: Familiarity with LLMOps tools or frameworks for managing LLM/GenAI models. Preferred Skills Familiarity with major ML/NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face Transformers). Understanding of software engineering best practices, version control, and model lifecycle management. Strong analytical and problem-solving skills. Effective communication and teamwork abilities. Customize the job title and location as needed for your organization. Let me know if you need further tailoring such as salary range, team structure, or a company introduction. Disclaimer: GeBBS never charges fees or accepts payments for job applications. Any such requests should be reported immediately to reporthr@gebbs.com.

About Position: Persistent is scaling up its global Digital Trust practice. Digital Trust encompasses the domains of Data Privacy, Responsible AI (RAI), GRC (Governance, Risk & Compliance), and other related areas. This is a rapidly evolving domain globally that is at the intersection of technology, law, ethics, and compliance. Team members of this practice get an opportunity to work on innovative and cutting-edge solutions. We are looking for a highly motivated and technically skilled Responsible AI Testing Analyst with 13 years of experience to join our Digital Trust team. In this role, you will be responsible for conducting technical testing and validation of AI systems or agents against regulatory and ethical standards, such as the EU AI Act, AI Verify (Singapore), NIST AI RMF, and ISO 42001. This is a technical position requiring knowledge of AI/ML models, testing frameworks, fairness auditing, explainability techniques, and regulatory understanding of Responsible AI. Role: AI Testing Analyst Location: All PSL Locations Experience: 1-3 years Job Type: Full Time Employment What Youll Do: Perform technical testing of AI systems and agents using pre-defined test cases aligned with regulatory and ethical standards. Conduct model testing for risks such as bias, robustness, explainability, and data drift using AI assurance tools or libraries. Support the execution of AI impact assessments and document the test results for internal and regulatory audits. Collaborate with stakeholders to define assurance metrics and ensure adherence to RAI principles. Assist in setting up automated pipelines for continuous testing and monitoring of AI/ML models. Prepare compliance-aligned reports and dashboards showcasing test results and conformance to RAI principles. Expertise Youll Bring : 1 to 3 years of hands-on experience in AI/ML model testing, validation, or AI assurance roles. Experience with testing AI principles such as fairness, bias detection, robustness, accuracy, explainability, and human oversight. Practical experience with tools like AI Fairness 360, SHAP, LIME, What-If Tool, or commercial RAI platforms Ability to run basic model tests using Python libraries (e.g., scikit-learn, pandas, numpy, tensorflow/keras, PyTorch). Understanding of regulatory implications of high-risk AI systems and how to test for compliance. Strong documentation skills to communicate test findings in an auditable and regulatory-compliant manner. Preferred Certifications (any one or more): AI Verify testing framework training (preferred) IBM AI Fairness 360 Toolkit Certification AI Certification (Google Cloud) Vertex AI + SHAP/LIME ModelOps/MLOps Monitoring with Bias Detection – AWS SageMaker / Azure ML / GCP Vertex AI TensorFlow Developer / Python for Data Science and AI / Applied Machine Learning in Python Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

About The Role : Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How well support you

About The Role : Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

We are looking for a Senior Solution Architect with 10+ years of experience in software development and AI/ML, including 5+ years in Generative AI and Azure ML, with hands on experience in designing and deployment of scalable AI solutions, drive innovation, and collaborate across teams to integrate cutting-edge technologies into business processes. Responsibilities & Skills: Architect and implement AI solutions using Generative AI, ML, and Azure ML aligned with business goals. Lead development of Generative AI models (e.g., GPT, DALL•E, BERT) for NLP, computer vision, and automation. Expert in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn); strong understanding of learning techniques. Hands-on experience with Azure ML, Azure AI Services, Data Lake, Databricks, and MLOps via Azure DevOps. Collaborate with cross-functional teams and mentor junior engineers to foster innovation and best practices. Advise leadership on AI strategy, emerging technologies, and scalable architecture. Define data strategy for AI/ML, ensuring governance, security, and compliance. Stay ahead of AI trends and prototype new solutions for continuous improvement. Engage with stakeholders to translate business needs into technical solutions. Experience with AWS/GCP, hybrid cloud, CI/CD for ML, and certifications in Azure AI/Architect. Familiarity with NLP, computer vision, and reinforcement learning. Proven track record in AI/ML solution architecture and cloud-native deployments. Strong leadership, communication, and stakeholder management skills. Bachelors/Masters in Computer Science or related field; Ph.D. preferred.

We are looking for a highly skilled Machine Learning Engineer with 1 to 2 years of experience to join our team at Kapture CRM, responsible for developing and implementing artificial intelligence solutions. The ideal candidate will have a strong background in machine learning and software product development. Roles and Responsibility Design and develop scalable machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to integrate machine learning models into existing software products. Develop and maintain large-scale data pipelines for training and testing machine learning models. Conduct research and experimentation to improve the performance of machine learning models. Work closely with data engineers to ensure seamless integration of machine learning models into larger systems. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong understanding of machine learning fundamentals, including supervised and unsupervised learning. Experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and ability to analyze complex data sets. Strong communication skills and ability to work effectively in a team environment. Ability to manage multiple projects simultaneously and meet deadlines.

We are looking for a highly skilled AI Implementation Engineer with a focus on Python to join our team at Techjays. The ideal candidate will have 4 to 9 years of experience in the field. Roles and Responsibility Design, develop, and implement AI models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Work closely with data scientists to integrate AI models into existing systems. Troubleshoot and optimize AI model performance issues. Stay up-to-date with industry trends and advancements in AI. Job Requirements Strong proficiency in Python programming language. Experience with AI frameworks such as TensorFlow or PyTorch. Knowledge of machine learning algorithms and deep learning techniques. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Preferable for Visakhapatnam/Vizag candidates 2-4 years of hands-on AI/ML/DL experience Dynamic, GO Getter, Idiotic Thinking & Realisation, Tech Savvy, Passionate is what we are looking from this person and need to have regular updates along with latest developments in AI/ML Space. You will be the SPOC for all the valuable data extraction from given data, processes from data collection, cleaning, pre-processing, to training models and deploying them to production. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, personnel so that deadlines are met Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Technical Stack AI, ML, Python Deep learning framework such as TensorFlow or Keras Python and basic libraries for machine learning such as scikit-learn and pandas Visualizing and manipulating big datasets Select hardware to run an ML model with the required latency What You Need Basic coding & programming Cloud Technologies – AWS or Azure or Salesforce Artificial Intelligence Machine Learning Deep Learning Python Job Type: Full-time Pay: ₹54,000.00 - ₹240,000.00 per year Schedule: Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Vishakhapatnam, Visakhapatnam - 530003, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Experience: real time: 2 years (Preferred) Artificial Intelligence: 2 years (Preferred) Expected Start Date: 30/07/2025

Location: Hybrid – Noida Employment Type: Full Time Department: AI Learning & Development / Technical Training Experience: 5+ years About The Role We are looking for a dynamic and experienced AI Trainer to join our team and play a strategic role in designing, developing, and delivering high-quality AI education programs. This position involves working closely with the software product engineering team to create focused, industry-aligned AI training initiatives under our platform. The ideal candidate will be a hands-on expert in AI and open-source technologies with a strong passion for teaching and mentoring the next generation of AI professionals. Key Responsibilities Collaborate with the software product engineering team to develop AI training programs aligned with real-world industry use cases. Perform training needs analysis to identify learner skill gaps and design customized training roadmaps. Curate, conceptualize, and deliver large-scale training programs tailored to diverse audiences. Lead hands-on sessions, workshops, and bootcamps using the latest AI tools, libraries, and frameworks. Incorporate open-source technologies in the training curriculum and encourage community-driven innovation. Mentor learners through projects, live builds, and capstone assignments, ensuring practical skill acquisition. Create training content, documentation, assessments, and feedback mechanisms for continuous improvement. Stay current with emerging trends in AI/ML, agentic systems, and LLM technologies and integrate them into programs. Evaluate training effectiveness through performance metrics and learner feedback to enhance training impact. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience in curating, conceptualizing, and delivering large-scale technical training programs. Proven ability to design AI curricula in collaboration with technical teams and industry partners. Hands-on expertise with open-source AI/ML tools, including Python, TensorFlow, PyTorch, Hugging Face, and LangChain. Experience with LLMs, prompt engineering, vector databases, and AI agent frameworks. Strong communication skills and the ability to explain complex concepts in a clear, engaging way. Experience conducting training needs assessments and building personalized learning paths. Preferred Qualifications Familiarity with AI integration in enterprise software products. Exposure to cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Experience working with startups or innovation labs in edtech or AI sectors. Open-source project contributions or community involvement is a strong plus. Prior experience with AI certification programs from AWS, Nvidia, GCP, or Microsoft. Why Join Us? Work on the forefront of AI education and innovation. Collaborate with a multidisciplinary product engineering team and shape future AI talent. Be part of a mission-driven organization focused on meaningful, real-world impact. Opportunities to grow into strategic leadership, curriculum innovation, or AI evangelism roles. Supportive and intellectually vibrant work culture with access to the latest tools and resources.

We are looking for a skilled Python Developer with expertise in Machine Learning to join our team at Panacorp Software Solutions. The ideal candidate will have 6 years of experience and a strong background in developing scalable and efficient machine learning models. Roles and Responsibility Design, develop, and deploy machine learning models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Implement automated testing and deployment scripts. Troubleshoot and resolve technical issues related to machine learning models. Stay updated with industry trends and advancements in machine learning. Job Requirements Strong proficiency in Python programming language. Experience with machine learning frameworks such as TensorFlow or PyTorch. Knowledge of deep learning techniques and their applications. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

We are looking for a highly skilled Machine Learning Engineer with expertise in Generative AI to join our team at Kapture CRM. The ideal candidate will have 2-7 years of experience and a strong background in software product development. Roles and Responsibility Design and develop machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to integrate machine learning solutions into existing products. Develop and maintain large-scale data pipelines and architectures. Conduct research and experimentation to improve model performance and efficiency. Work closely with data engineers to ensure seamless data integration. Implement automated testing and deployment scripts. Job Requirements Strong understanding of machine learning fundamentals, including supervised and unsupervised learning. Experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities About JSM Team Jira Service Management is one of the marquee products of Atlassian. Through this solution, we are helping technical and non-technical teams centralize and streamline service requests, respond to incidents, collect and maintain knowledge, manage assets and configuration items, and more. Specifically this team within JSM works on using assitive AI to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving these capabilities into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach What You Will Do As a Principal Engineer on the JSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI (Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. In This Role, You'll Get The Chance To Shape the future of AIOps: Be at the forefront of innovation, shaping the next generation of AI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, building algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward. Routinely tackle complex architectural challenges, spar with principal engineers to build ML pipelines and models that scale for thousands of customers Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems Our tech stack is primarily Python/Java/Kotlin built on AWS. On your first day, we’ll expect you to have Fluency in Python Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models ) Familiarity with MLOps and experience with scaling and deploying Machine Learning models It would be great, but not required if you have Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks). Experience with MLOps tools ( MLflow, Tecton, Pinecone, Feature Stores ) Experience with AIOps or related fields like IT automation or incident management. Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). Experience with using OpenAI LLMs. Qualifications Compensation Skills At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $199,400 - $265,800 Zone B: $179,400 - $239,200 Zone C: $165,500 - $220,600 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Job Title: Software Engineer - Machine Learning Engineer – LLM/GenAI Focus Location: Airoli, Navi Mumbai Experience Required: Minimum 2 years’ relevant experience in Python Key Responsibilities Design, develop, and implement machine learning (ML) and natural language processing (NLP) models and solutions. Build, fine-tune, and deploy Large Language Models (LLMs) and Generative AI (GenAI) applications. Write, maintain, and optimize Python code for ML and NLP projects. Work with databases to collect, clean, and manage datasets for model training and evaluation. Deploy ML models and Python applications on public cloud platforms (Azure/AWS). Collaborate with cross-functional teams to define business requirements and deliver solutions. (Good to have) Support and implement best practices for LLMOps, including monitoring and lifecycle management of LLM/GenAI models. Requirements Relevant experience: Minimum 2 years in machine learning, NLP, or AI solution development. Python programming: 1–2 years of hands-on experience. ML/NLP: 2+ years practical experience building and deploying ML/NLP solutions. LLM and GenAI: At least 1 year working with LLM (Large Language Models) and Generative AI technologies. Databases: 1+ years of experience working with any modern database (SQL/NoSQL). Cloud Deployment: 1+ years of experience deploying ML models or Python applications on Azure or AWS. Good to have: Familiarity with LLMOps tools or frameworks for managing LLM/GenAI models. Preferred Skills Familiarity with major ML/NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face Transformers). Understanding of software engineering best practices, version control, and model lifecycle management. Strong analytical and problem-solving skills. Effective communication and teamwork abilities. Customize the job title and location as needed for your organization. Let me know if you need further tailoring such as salary range, team structure, or a company introduction. Disclaimer: GeBBS never charges fees or accepts payments for job applications. Any such requests should be reported immediately to reporthr@gebbs.com.

Responsibilities: Lead and manage end-to-end data science projects, including project planning, scoping, budgeting, resource allocation, and timeline management. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define project requirements, deliverables, and milestones. Conduct project kick-off meetings, define project objectives, and establish clear project scopes and deliverables. Develop and maintain project plans, track progress, and provide regular updates to stakeholders, ensuring project milestones are met within the defined timeline. Identify and manage project risks, issues, and dependencies, implementing mitigation strategies and contingency plans as necessary. Coordinate and communicate project activities, ensuring alignment with organizational goals and objectives. Monitor project budget, resource utilization, and expenses, making necessary adjustments to optimize project performance and efficiency. Foster a collaborative and innovative work environment, promoting knowledge sharing and best practices within the data science team. Stay updated with industry trends, emerging technologies, and advancements in data science methodologies, and propose relevant process improvements or tool adoption. Provide leadership and mentorship to the data science team, facilitating their professional growth and development. Requirements: Bachelor's degree in computer science, Data Science, Statistics, or a related field. A master's degree is preferred. Proven experience (5+ years) in managing data science projects, preferably in a fast-paced and dynamic environment. Strong understanding of data science concepts, machine learning algorithms, and statistical modeling techniques. Proficient in project management methodologies, tools, and techniques. Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines. Exceptional problem-solving and analytical abilities, with keen attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts to non-technical stakeholders. Strong leadership skills, with the ability to motivate and inspire team members. Experience with data visualization tools, programming languages (e. g., Python, R), and big data technologies is a plus. Whatspp - 9886683329

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on integrating generative AI models into various applications, which may include deep learning, neural networks, chatbots, and image processing. Collaborating with cross-functional teams, you will contribute to the advancement of AI technologies and their practical applications in real-world scenarios, driving innovation and efficiency within the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information:- The candidate should have minimum 18 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education