1616 Deep Learning Jobs - Page 7

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with Phd degree to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a talented Research Scientist (freelancer) to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities:. Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications:. D. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking an experienced Data Science Manager to lead our data science team and drive the development of innovative AI and machine learning solutions. If you have a strong leadership background and a passion for data-driven decision-making, we would love to hear from you!. Key Responsibilities:. Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions. Oversee the design and implementation of machine learning models and data analysis workflows. Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations. Ensure best practices for data analysis, model deployment, and algorithm development. Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives. Required Qualifications:. 4+ years of experience in data science, including 1+ years in a leadership role. Strong proficiency in Python, R, SQL, and machine learning frameworks. Experience in leading data science projects and managing teams. Strong problem-solving skills and the ability to translate complex data insights into business strategies. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2-6 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Most likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes). Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking. Required Skills: . Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka). Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure). Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices. Nice to Have:. Experience with A/B testing, Bayesian optimization, and hyperparameter tuning. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with Phd degree to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

Role & responsibilities **Key Responsibilities** * Design and implement AI/ML pipelines using Python. * Content Personalization Requirements * Architect and manage databases such as MongoDB, MySql, PostgreSQL with * Knowledge in VectorDatabase and semantic search * Engineer high-quality prompts for LLMs to ensure accurate and context-aware responses. * Collaborate with cross-functional teams to integrate AI capabilities into production systems. * Monitor and maintain deployed models, ensuring performance, scalability, and reliability. * Stay up to date with the latest advancements in AI, LLMs, Preferred candidate profile **Required Qualifications** * Experience in AI/ML engineering with a strong focus on LLMs and generative AI. * Proficiency in Python and deep learning frameworks * Hands-on experience with LLM APIs for scale * Working experience in Video Generation models * Strong understanding of vector databases * Expertise in prompt engineering and LLM fine-tuning. * Familiarity with MLOps practices and cloud platforms (GCP, AWS). * 3 to 5 years of Work Experience

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking an experienced Data Science Manager to lead our data science team and drive the development of innovative AI and machine learning solutions. If you have a strong leadership background and a passion for data-driven decision-making, we would love to hear from you!. Key Responsibilities:. Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions. Oversee the design and implementation of machine learning models and data analysis workflows. Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations. Ensure best practices for data analysis, model deployment, and algorithm development. Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives. Required Qualifications:. 4+ years of experience in data science, including 1+ years in a leadership role. Strong proficiency in Python, R, SQL, and machine learning frameworks. Experience in leading data science projects and managing teams. Strong problem-solving skills and the ability to translate complex data insights into business strategies. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Computer Vision Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Computer Vision (CV) Engineers with expertise in image/video processing, object detection, and generative AI. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize computer vision models for tasks like object detection, image segmentation, and multi-object tracking. Lead research on novel techniques using deep learning frameworks (TensorFlow, PyTorch, JAX). Build efficient computer vision pipelines and optimize models for real-time performance. Deploy models using microservices (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Lead MLOps practices, including CI/CD pipelines, model versioning, and training optimizations. Required Skills: . Expert in Python, OpenCV, NumPy, and deep learning architectures (e.g., ViTs, YOLO, Mask R-CNN). Strong knowledge in computer vision fundamentals, including feature extraction and multi-view geometry with experience in deploying and optimizing models with TensorRT, Open VINO, and cloud/edge solutions. Proficient with MLOps tools (ML flow, DVC), CI/CD, and distributed training frameworks. Experience in 3D vision, AR/VR, or LiDAR processing is a plus. Nice to Have:. Experience with multi-camera vision systems, LiDAR, sensor fusion, and reinforcement learning for vision tasks. Exposure to generative AI models (e.g., Stable Diffusion, GANs) and large-scale image processing (Apache Spark, Dask). Research publications or patents in computer vision and deep learning. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a talented Research Scientist (freelancer) to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities:. Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications:. D. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2-6 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Most likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines. Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes). Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations. Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking. Required Skills: . Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka). Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure). Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices. Nice to Have:. Experience with A/B testing, Bayesian optimization, and hyperparameter tuning. Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS). What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking SME Mathematics with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities:. Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications:. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us. Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Deep Learning Engineer with at least 3 years of experience to work on building state-of-the-art deep learning models for various applications like computer vision, NLP, and recommendation systems. Key Responsibilities:. Develop and train deep learning models for various use cases. Optimize model performance and ensure scalability. Collaborate with the data science and engineering teams to integrate deep learning models into production systems. Required Qualifications:. 3+ years of experience in deep learning and machine learning. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in Python and experience with GPU computing. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

: Job Title Data Science_AI Engineer , AVP LocationBangalore, 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. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. 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 ApplicationsUtilize 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 ModelsCustomize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized 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-FunctionallyWork with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimize AI WorkflowsEmploy MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 10+ 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, 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. For internal use only 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 crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneously. How well support you

: In Scope of Position based Promotions (INTERNAL only) Job Title Group Strategic Analytics Quantitative Strategist Specialist , AVP LocationMumbai, India Role Description We are seeking a highly motivated and skilled Python developer to join our Market Risk Strats team within GSA. This team comprised of people with technology, front office quant and market risk and methodology experience. This role offers a unique opportunity to bridge the gap between quantitative finance & technology. You will be responsible for leveraging your strong Python programming skills to develop, implement and maintain analytical tools and systems for monitoring and managing market risk. You will be engaging multiple teams for translating crucial business requirements into technical solutions and ensuring the accuracy and efficiency of our risk management processes. Our People Our people are outstanding individuals with agile minds, from a diverse range of backgrounds and cultures. They generate fresh ideas and innovative solutions which set us apart from our competitors and add value to our clients. Group Strategic Analytics (GSA) Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. 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 Software Development (Python)Design, develop, test, and deploy efficient, reusable, and reliable Python code for various applications, including web service, APIs, data pipelines, and automation tools. Reporting solutionsDesign, develop, automate market risk reports, dashboards, and analytics tools using Python and relevant libraries (e.g., Pandas, NumPy, Matplotlib). Code Quality & Best PracticesWrite reusable, testable, and efficient code. Participate in code reviews, provide constructive feedback, and adhere to best practices for code quality, security and maintainability. Control Framework Enhancement (Python)Utilize Python to build and implement data quality checks, monitoring tools, and automated controls to strengthen the market risk control environment. Data ManagementWork with large datasets, ensuring data integrity, accuracy, and timely availability for risk reporting and analysis. Experience with data warehousing and database technologies (e.g., SQL) is a plus. Stakeholder CollaborationPartner effectively with market risk managers, front office trading desks, IT teams, and other relevant stakeholders to understand business requirements and translate them into technical solutions. Process ImprovementIdentify opportunities to streamline existing market risk processes through automation and the application of technology. DocumentationCreate and maintain clear and concise technical documentation for developed reports, tools, and processes. Troubleshoot and DebuggingIdentify, analyze, and resolve complex software defects and issues, ensuring smooth application operation. Participate in system testing, user acceptance testing (UAT) and audit reviews. Your skills and experience Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or a related discipline. Strong proficiency in Python and a deep understanding of its fundamentals, including data structures, algorithms, object-oriented programming (OOP) principles, and functional programming concepts. Experience with popular Python web frameworks such Django, Flask is a plus. Understanding of market risk methodologies, models, and metrics will be a plus Experience in designing, developing, and consuming RESTful APIs. Excellent analytical, problem-solving, and quantitative skills. Strong communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced environment. Familiarity with database technologies (e.g., SQL) is desirable. How well support you

: Job TitleFX Platform Delivery (US support) & Site Lead - RTM DIPL LocationBangalore, India Corporate TitleVP Role Description RTM consists of the following business linesSES (Securities Service), TF&L (Trade Finance and Lending), ICM (Institutional Cash Management), CCM (Corporate Cash Management), TAS , Implementation and Projects and Processes. Global RTM team brings in different product areas together to drive a client centric approach by region/country, allowing the franchise to service our clients in the best way possible. The person responsible for this role will need to set /execute vision for the site, build synergies within the Global RTM team, enhance Client experience, and drive continuous improvement. The RTM DIPL Bangalore site Lead will lead cross-functional teams to deliver efficient and high-quality delivery support to all the business lines of CB. BackgroundRelationship & Transaction Management team combines Corporate Bank (CB) service units and subsidiary coverage teams (LCC) into one function with an aim to work together globally as one large multi-functional team. 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 Building and Running FX Platform team for US. This function is responsible for delivering one of the fastest growing revenue streams in CB & IB by providing market leading FX workflow solutions to clients. Transactional FX leverages the firms position as a market leader in CB and offers variety of standard and bespoke FX solutions to solve for clients FX workflow needs. Other key requirements from the Site Lead Role. Strategic LeadershipDefine and execute the strategic direction and objectives of the platform. People ManagementBuild, Develop, Retain and lead a high performing team of people, fostering a culture of collaboration and continuous improvement. Operational ManagementEnsuring adherence to the TATs and KPIs Stakeholder ManagementServe as the primary point of contact for internal stakeholders and ensuring that the platform set up meets/exceed expectations. Collaborate with Global/Regional teams to align/ standardize process. Continuous ImprovementChampion process improvement initiatives, leveraging technology /automation to drive efficiency. Sharing best practices across teams and drive on data to improve Client Experience. Risk and ComplianceEnsure compliance with local regulations, organizational policies and manage risk by developing and implementing controls to protect client data/ have proper BCP in place. Your skills and experience Masters Degree from an accredited college or university with a concentration in Business administration, Strategic management, or a related field. 15 plus years of relevant experience in running/leading such platform set ups/ large diverse teams/FX set up experience / with at least 5 years in leadership capacity. Proficiency in process improvement methodologies will be an added advantage. Skills Strong Leadership, people management and interpersonal skills. Excellent communication and stake holder management. Strong analytical and problem-solving skills Knowledge of compliance, risk management/ Governance practices. Ability to influence and collaborate with cross-functional teams. High degree of emotional intelligence and cultural awareness Knowledge of Automation/Artificial Intelligence Tools will be an added advantage. How well support you

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Data Science Trainer Codegnan IT Solutions Pvt Ltd **Location:** Hyderabad and Vijayawada Job Responsibilities: Deliver high-quality training sessions on Data Science, Machine Learning, and related topics. Prepare course materials, assignments, and projects for students. Assess student performance and provide feedback. Stay updated with the latest trends in Data Science and incorporate them into training modules. Support students in their learning journey with doubt clarification and project guidance. Required Qualifications & Skills: Bachelor's or Master’s degree in Computer Science, Data Science or related field. Strong knowledge of Python, statistics, machine learning algorithms, and data visualization tools. Prior teaching or training experience preferred. Excellent communication and presentation skills. Hands-on experience with tools like Jupyter, Pandas, NumPy, Scikit-learn, TensorFlow, etc.

Job purpose: Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems. Who You Are: Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. PhD is a plus. 5+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP. Proven expertise in end-to-end system design and deployment of production-grade AI systems. Hands-on experience with Java/Node.js/.NET for backend development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Key Responsibilities: 1. Model Development & Training: Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification. Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face. 2. Prompt Engineering: Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems. Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency. 3. End-to-End System Design: Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs. Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications. Design and implement data pipelines for preprocessing, feature engineering, and model inference. 4. Integration & Deployment: Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP). Build RESTful or GraphQL APIs to expose AI capabilities to front-end or third-party applications. 5. Performance Optimization: Optimize LLMs for latency, throughput, and resource efficiency using techniques like quantization, pruning, and model distillation. Monitor and improve system performance through logging, metrics, and A/B testing. 6. Collaboration & Leadership: Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives. Mentor junior engineers and contribute to best practices for AI/ML development. What will excite us: Strong understanding of LLM architectures and prompt engineering techniques. Experience with backend development using Java/Node.js (Express)/.NET Core. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD). Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. What will excite you: Lead AI innovation in a fast-growing, technology-driven organization. Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications. Engage with top-tier enterprise clients and drive AI transformation at scale. Location: Ahmedabad

About the Role We are looking for a highly skilled and motivated AI ML Engineer with a strong background in LLMs, RAG pipelines, MLOps, and Azure Cloud . The ideal candidate should have deep experience in building and fine-tuning LLMs, deploying ML systems at scale, and integrating AI capabilities into enterprise-grade applications. Key Responsibilities Design and implement RAG (Retrieval-Augmented Generation) pipelines and AI agentic systems using LLM frameworks. Fine-tune LLMs and develop narrow, domain-specific models using industry best practices. Collaborate with data scientists and product teams to deploy ML models in production environments. Build and maintain robust MLOps pipelines using MLFlow , ensuring reproducibility and traceability of experiments. Integrate and deploy solutions using Azure DevOps and related cloud services. Implement secure and scalable authentication flows using Azure AD and GraphAPI . Optimize performance of deployed models with a focus on latency, cost, and maintainability. Document and present architecture, experiment results, and production workflows. Required Skills & Experience Strong foundational knowledge in Computer Science, IT systems, and architecture . Proficient in Python , with solid experience in both Object-Oriented and Functional Programming paradigms . Practical experience with LLMs , including open-source models. Hands-on experience with RAG pipelines and AI agentic frameworks . Expertise in MLOps tooling , especially MLFlow , model versioning, and CI/CD for ML. Solid understanding of model deployment and serving using Docker, Kubernetes, FastAPI, etc. Proven experience working with Azure cloud , including: Azure DevOps for pipelines and release management. Azure GraphAPI for organizational data access. Authentication and security protocols . Good communication skills and ability to work in cross-functional teams.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive. Experience5-8 Years.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Mandatory Skills Data Science, ML, DL, Python for Data Science, Tensorflow, Pytorch, Django, SQL, MLOps Preferred Skills NLP, Gen AI, LLM, PowerBI, Advanced Analytics, Banking exposure Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention. Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards Expert in applying ML techniques such asclassification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards Working knowledge ane experience in ML Ops is a must and engineering background is preferred Excellent command of data warehousing concepts and SQL Knowledge of personal banking products is a plus Mandatory Skills: AI Cognitive. Experience8-10 Years.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: GCP AI ML. Experience5-8 Years.

Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: Generative AI. Experience3-5 Years.