8841 Pytorch Jobs - Page 15

Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities: This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications: Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications: Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement . Job title Staff Software Engineer Department Engineering Location Hyderabad Remote No Requisition ID 20020176_2025-07-03

- Experience building machine learning models or developing algorithms for business application - PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. - Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. - programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. - communication and collaboration skills to effectively work with cross-functional teams. We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities • Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. • Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. • Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. • Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

About the Role: Join us as an ML/Agentic AI Engineering Intern to work on frontier problems in Generative AI, Agentic AI, and Optimization-focused ML, contributing to real-world intelligent systems powered by deep learning and language models. Responsibilities: Build, fine-tune, and deploy LLMs, multimodal models. Implement memory-augmented agents, chain-of-thought agents, or tool-using agents. Collaborate on end-to-end ML pipelines from preprocessing to deployment. Work with vector databases, RAG pipelines, and prompt engineering. Requirements: Strong background in Python, PyTorch/TensorFlow, HuggingFace. Experience with LLMs (OpenAI, Gemini, LLaMA, Claude). Experience with agentic frameworks (LangChain, Autogen, CrewAI). Good grasp of optimization techniques (gradient descent, metaheuristics, etc.). Familiarity with MLOps and deployment strategies is a plus. Time Period : Minimum 3 months (Can be extended based on candidate's performance) For Inquiry Contact: Jnan Yalla, Chief AI Officer, DataTeach.Ai Phone : +91-9150859936 Email : jnan@datateach.ai Job Types: Full-time, Fresher Pay: Up to ₹8,000.00 per month Benefits: Work from home Language: English (Required) Telugu (Preferred) Location: KPHB Colony, Hyderabad, Telangana (Preferred) Work Location: In person Expected Start Date: 04/08/2025

Job Title: AI & ML Developer (Python) Company: ChicMic Studios Location: Mohali, Punjab (Hybrid Options Available) Job Type: Full-Time | 5 Days Working Experience Required: 5+ Years Immediate Joiners Preferred Job Summary: ChicMic Studios is seeking an experienced and innovative AI/ML Developer with strong expertise in Python-based web development and machine learning. The ideal candidate will have 5+ years of hands-on experience with Django, Flask , and cloud deployment on AWS , along with a solid understanding of transformer architectures , model deployment , and MLOps practices . Key Responsibilities: Develop and maintain robust web applications using Django and Flask Build and manage scalable RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications using AWS services : EC2, S3, Lambda, RDS, etc. Design and integrate AI/ML APIs into production systems Build ML models using PyTorch, TensorFlow, Scikit-learn Implement transformer architectures like BERT, GPT for NLP and vision tasks Apply model optimization techniques: quantization, pruning, hyperparameter tuning Deploy models using SageMaker, TorchServe, TensorFlow Serving Ensure high performance and scalability of deployed AI systems Collaborate with cross-functional teams to deliver scalable AI-powered products Follow clean coding practices, conduct code reviews, and stay current with AI/ML advancements Required Skills & Qualifications: Btech/ MCA 5+ years of Python development experience Expertise in Django , Flask , and DRF Solid experience deploying apps and models on AWS Proficiency in PyTorch , TensorFlow , and Scikit-learn Experience with transformer models (BERT, GPT, etc.) Strong knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB) Familiarity with MLOps practices for end-to-end model management Bonus: Basic front-end skills (JavaScript, HTML, CSS) Excellent communication and problem-solving skills Why Join ChicMic Studios? Global exposure across 16+ modern tech stacks High retention culture and innovation-driven environment Opportunity to work on cutting-edge AI/ML and NLP projects EPF, Earned Leaves, Career Growth Support Hybrid/WFH flexibility for exceptional candidates To Apply: Send your resume to: disha.mehta755@chicmicstudios.in Contact: +91 98759 52834 Website: www.chicmicstudios.in Job Type: Full-time Pay: ₹800,000.00 - ₹1,800,000.00 per year Benefits: Flexible schedule Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 5 years (Required) AI: 2 years (Required) Language: English (Required) Work Location: In person

We are seeking a highly skilled and hands-on AI Architect to lead the design and deployment of next-generation AI systems for our cutting-edge platform. You will be responsible for architecting scalable GenAI and machine learning solutions, establishing MLOps best practices, and ensuring robust security and cost-efficient operations across our AI-powered modules Primary Skills: • System architecture for GenAI: design scalable pipelines using LLMs, RAG, multi‐agent orchestration (LangGraph, CrewAI, AutoGen). • Machine‐learning engineering: PyTorch or TensorFlow, Hugging Face Transformers. • Retrieval & vector search: FAISS, Weaviate, Pinecone, pgvector; embedding selection and index tuning. • Cloud infra: AWS production experience (GPU instances, Bedrock / Vertex AI, EKS, IAM, KMS). • MLOps & DevOps: MLflow / Kubeflow, Docker + Kubernetes, CI/CD, Terraform • Security & compliance: data encryption, RBAC, PII redaction in LLM prompts. • Cost & performance optimisation: token‐usage budgeting, caching, model routing. • Stakeholder communication: ability to defend architectural decisions to CTO, product, and investors.

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 : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop appropriate AI models to meet those needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for AI deployment. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bhubaneswar office. - A 15 years full time education is required. 15 years full time education

We are a cutting-edge technology company that specializes in developing innovative artificial intelligence and machine learning solutions. Our mission is to harness the power of AI to drive business growth, improve efficiency, and enhance customer experience. Job Summary: We are seeking an experienced Artificial Intelligence Engineer to join our team in Indore, Madhya Pradesh, India. As an AI Engineer, you will be responsible for designing, developing, and deploying AI and ML models to solve complex business problems. You will work closely with our data scientists, product managers, and other engineers to integrate AI into our products and services. Key Responsibilities: 1. Design and Develop AI/ML Models: Design, develop, and deploy AI/ML models using Python and other relevant technologies. Collaborate with data scientists to gather requirements, collect data, and develop models. Implement and test models using various frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 2. Prompt Engineering: Develop and refine natural language processing (NLP) models using prompt engineering techniques. Create high-quality prompts to elicit accurate and relevant responses from AI models. Optimize prompt design to improve model performance and reduce errors. 3. Python Development: Develop and maintain Python scripts and code to support AI/ML model deployment. Utilize Python libraries and frameworks to build and integrate AI/ML models into our products. Collaborate with other engineers to ensure seamless integration with existing systems. 4. Data Preprocessing and Analysis: Collect, preprocess, and analyze data to support AI/ML model development. Clean, transform, and feature-engineer data to improve model performance. Work with data scientists to identify and address data quality issues. 5. Collaboration and Communication: Work closely with data scientists, product managers, and other engineers to integrate AI

Experience : 2 + Years Key Responsibilities: Design, develop, and deploy Machine Learning /Artificial Intelligent models to solve real-world problems in our software products. Collaborate with product managers, developers, and data engineers to define AI project goals and requirements. Clean, process, and analyze large datasets to extract meaningful patterns and insights. Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop APIs and services to integrate AI models with production environments. Monitor model performance and retrain as needed to maintain accuracy and efficiency. Stay updated with the latest advancements in AI/ML and evaluate their applicability to our projects. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience with Python and ML libraries like NumPy, pandas, TensorFlow, Keras, PyTorch, Scikit-learn. Familiarity with NLP, computer vision, or time-series analysis is a plus. Experience with model deployment tools and cloud platforms (AWS/GCP/Azure) preferred. Knowledge of software engineering practices including version control (Git), testing, and CI/CD. Qualification: Prior experience working in a product-based or tech-driven startup environment. Exposure to deep learning, recommendation systems, or predictive analytics. Understanding of ethical AI practices and model interpretability Job Type: Full-time Pay: ₹12,059.95 - ₹30,307.34 per month Schedule: Day shift Work Location: In person

Join us to build cutting-edge apps with Angular & PHP. Grow, innovate, and code with a passionate team. AI/ML Intern / Fresher – Internship + Job Opportunity Company: Logical Wings Infoweb Pvt. Ltd. Location: Vadodara (On-site only) Type: Internship with Pre-placement Offer Opportunity Domain: Enterprise Software Solutions | AI-Powered Applications Role Overview: We are seeking AI/ML Interns or Freshers who are passionate about Artificial Intelligence and Machine Learning, and excited to apply their knowledge to real-world enterprise problems. You’ll gain hands-on experience, work on live projects, and have a pathway to a full-time role based on your performance. What You’ll Do: Assist in designing and developing machine learning models and AI-based solutions Work on data preprocessing, feature engineering, and model training/evaluation Collaborate with development teams to integrate AI modules into enterprise software Research and experiment with new algorithms and frameworks Help build tools for data visualization, analysis, and insights Skills & Qualifications: Solid understanding of Python and key libraries (NumPy, Pandas, Scikit-learn, etc.) Exposure to Machine Learning and Deep Learning concepts Familiarity with frameworks like flask TensorFlow, Keras, or PyTorch is a plus Addition or plus skills Work or knowledge in web related python with Django framework, Mysql Basic understanding of data structures and algorithms Curiosity, problem-solving mindset, and a willingness to learn Eligibility: Final semester students pursuing a degree in Computer Science / Data Science / Engineering OR Recent graduates with a background or strong interest in AI/ML/For Vadodara only Why Join Us? Work on cutting-edge AI solutions for enterprise clients Mentorship from experienced AI professionals Opportunity to convert to a full-time role post-internship A collaborative and innovation-driven environment How to Apply: Send your resume to: Hr@logicalwings.com Visit us at: www.logicalwings.com Note: Applications via phone calls will not be entertained. If you’re driven by data, algorithms, and the idea of solving real-world problems through AI — Logical Wings is your launchpad!

Company Description Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses. Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs. Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, University of Zurich, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders. Role Description As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products. You’ll analyze new opportunities and ideas, evaluate new Al/ ML models/ frameworks/ platforms , conduct experiments, develop PoCs and prototypes. As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science and machine learning, and AI. The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you. Qualifications 3 - 5 years of experience in applying data science methods to develop models that extract business value from real-world data. Deep familiarity with a range of data science methods and algorithms (time-series analysis, regression analysis, experimental design, optimization, etc.) Strong understanding of ML algorithms including areas such as deep learning, NN, NLP, and more. Experience with AI foundational models and associated architectural and solution development frameworks Proficient Knowledge of cloud platforms (e.g., AWS, Azure, GCP), ML frameworks (e.g., TensorFlow, PyTorch) and MLOps practices and platforms like MLflow. Broad understanding of data structures, data engineering and architectures. Strong communication skills and teamwork. Strong interpersonal skills, result-oriented, self-motivated, proactive, and capable of handling multiple projects. Ability to work in collaborative settings, take accountability, and stay composed under stress.

About Position: We are conducting an in-person hiring drive for the position of GenAI Engineer in Pune & Bengaluru on 2nd August 2025. Interview Location is mentioned below: Pune: Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057 Bangalore: Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024 The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: GenAI Engineer Job Location: All PSL Locations Experience: 4 Years-12 Years Job Type: Full Time Employment What You'll Do: Develop and fine-tune LLMs for real-world use cases Build and optimize RAG pipelines using Langchain or similar tools Integrate GenAI capabilities into enterprise applications Hands on Python coding exp Work with vector databases and embedding techniques Collaborate with cross-functional teams on AI-driven features We’re looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: 4+ years of experience working with data science. Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential Basic understanding of Flask, Django, or FastAPI is a plus. Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Cloud deployment knowledge on AWS, Azure, or GCP is a must. You’ll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. 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.”

Experience: more than 8 years Location: Gurgaon, Hyderabad As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project's needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. What you will do: • Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. • Data Mapping: Implement AI algorithms for accurate data mapping from source to target. • Code Generation: Automate code generation using AI models. • Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. • Code Conversion: Facilitate seamless code conversion using AI algorithms. • Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. • Proficiency in Programming Languages such as Python, SQL, and other relevant languages. • Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. • Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. • Experience with Data Validation: Implementing AI-based validation techniques. • Familiarity with Code Conversion: Understanding AI algorithms for code conversion. • Experience with Databases like SQL Server and MongoDB. • Collaboration Skills: Ability to work effectively with cross-functional teams.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 31st July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

About Position: We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below: Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057 Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024 We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: Mlops, Data Science Job Location: All PSL Location Experience: 5+ Years Job Type: Full Time Employment What You'll Do: Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML). Automate model training, validation, monitoring, and retraining workflows. Implement model governance, versioning, and reproducibility best practices. Collaborate with data scientists, engineers, and product teams to operationalize ML solutions. Ensure robust monitoring and performance tuning of deployed models Expertise You'll Bring: Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.). Proficient in containerization (Docker, Kubernetes). Good knowledge of cloud platforms (AWS, Azure, or GCP). Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn). Solid understanding of CI/CD, infrastructure as code, and automation tools. 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.”

Are you ready to join a world leader in the exciting and dynamic fields of the Pharmaceutical and Medical Device industries? PQE Group has been at the forefront of these industries since 1998, with 40 subsidiaries and more than 2000 employees in Europe, Asia, and the Americas. Due to our constant growth, we are currently looking for a Data Scientist to support our projects in Hyderabad, India or Chandigarh, India . What you’ll do: · Design, train, and deploy Machine Learning and NLP models (NER, classification, embeddings) using Large Language Models (LLMs) and BERT-like architectures. · Implement Retrieval-Augmented Generation (RAG) pipelines and LLM-based AI agents for real-time use cases. · Build interactive dashboards with Streamlit and lightweight web interfaces (HTML/CSS/JavaScript, Laravel or similar frameworks) to visualise insights and create rapid prototypes. · Define, manage, and optimise relational databases (e.g. MySQL, PostgreSQL) and vector databases (e.g. Pinecone, Weaviate, FAISS) for efficient embedding retrieval. · Collaborate with Product and DevOps teams on integration and deployment. · Document code, service prototypes, and architectural decisions clearly and for future reuse. Must-have requirements: · 3+ years of professional experience in Data Science, Machine Learning, or AI development. · Strong command of Python and key libraries (pandas, scikit-learn, PyTorch/TensorFlow, LangChain or similar). · Hands-on knowledge of LLMs (fine-tuning, prompt engineering, evaluation). · Experience with RAG systems and/or AI agents (e.g. ReAct, Auto-GPT, CrewAI). · Experience managing relational databases and designing vector databases . · Deep understanding of NLP and NER models (BERT, RoBERTa, spaCy, Hugging Face Transformers). · Experience with workflow orchestrators ( Airflow, Prefect ) or MLOps infrastructures. · Familiarity with containerisation (Docker) and CI/CD pipelines . · Solid statistical foundation and background in probabilistic models . · Proficiency with Streamlit for rapid prototyping of data-driven apps. · Front-end development skills (HTML/CSS/JavaScript; familiarity with React/Vite or similar is appreciated). · Comfortable with Git version control and working in Agile teams. · Fluent written and spoken English . Next Steps Upon receiving your application, if a match is found, the Recruiting department will contact you for an initial Talent Acquisition interview. If there's a positive match, a technical interview with the Hiring Manager will be arranged. In the case of a positive feedback coming from the Hiring Manager interview, the recruiter will contact you for the next steps or to discuss our proposal. Alternatively, if the feedback is negative, we will contact you to halt the recruitment process. Working at PQE Group As a member of the PQE team, you will be part of a challenging, multicultural company that values collaboration and innovation. PQE Group gives you the opportunity to work on international projects, improve your skills and interact with colleagues from all corners of the world. If you are looking for a rewarding and exciting career, PQE Group is the perfect place for you. Apply now and take the first step towards an amazing future with us.

Job Title: AI & ML Developer (Python) Company: ChicMic Studios Location: Mohali, Punjab (Hybrid Options Available) Job Type: Full-Time | 5 Days Working Experience Required: 5+ Years Immediate Joiners Preferred Job Summary: ChicMic Studios is seeking an experienced and innovative AI/ML Developer with strong expertise in Python-based web development and machine learning. The ideal candidate will have 5+ years of hands-on experience with Django, Flask , and cloud deployment on AWS , along with a solid understanding of transformer architectures , model deployment , and MLOps practices . Key Responsibilities: Develop and maintain robust web applications using Django and Flask Build and manage scalable RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications using AWS services : EC2, S3, Lambda, RDS, etc. Design and integrate AI/ML APIs into production systems Build ML models using PyTorch, TensorFlow, Scikit-learn Implement transformer architectures like BERT, GPT for NLP and vision tasks Apply model optimization techniques: quantization, pruning, hyperparameter tuning Deploy models using SageMaker, TorchServe, TensorFlow Serving Ensure high performance and scalability of deployed AI systems Collaborate with cross-functional teams to deliver scalable AI-powered products Follow clean coding practices, conduct code reviews, and stay current with AI/ML advancements Required Skills & Qualifications: Btech/ MCA 5+ years of Python development experience Expertise in Django , Flask , and DRF Solid experience deploying apps and models on AWS Proficiency in PyTorch , TensorFlow , and Scikit-learn Experience with transformer models (BERT, GPT, etc.) Strong knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB) Familiarity with MLOps practices for end-to-end model management Bonus: Basic front-end skills (JavaScript, HTML, CSS) Excellent communication and problem-solving skills Why Join ChicMic Studios? Global exposure across 16+ modern tech stacks High retention culture and innovation-driven environment Opportunity to work on cutting-edge AI/ML and NLP projects EPF, Earned Leaves, Career Growth Support Hybrid/WFH flexibility for exceptional candidates To Apply: Send your resume to: disha.mehta755@chicmicstudios.in Contact: +91 98759 52834 Website: www.chicmicstudios.in Job Type: Full-time Pay: ₹800,000.00 - ₹1,800,000.00 per year Benefits: Flexible schedule Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 5 years (Required) AI: 2 years (Required) Language: English (Required) Work Location: In person

Hi Connections, Urgent - Hiring for below role About the Role: We are seeking a seasoned and highly skilled MLOps Engineer to join our growing team. The ideal candidate will have extensive hands-on experience with deploying, monitoring, and retraining machine learning models in production environments. You will be responsible for building and maintaining robust and scalable MLOps pipelines using tools like MLflow, Apache Airflow, Kubernetes, and Databricks or Azure ML. A strong understanding of infrastructure-as-code using Terraform is essential. You will play a key role in operationalizing AI/ML systems and ensuring high performance, availability, and automation across the ML lifecycle. --- Key Responsibilities: · Design and implement scalable MLOps pipelines for model training, validation, deployment, and monitoring. · Operationalize machine learning models using MLflow, Airflow, and containerized deployments via Kubernetes. · Automate and manage ML workflows across cloud platforms such as Azure ML or Databricks. · Develop infrastructure using Terraform for consistent and repeatable deployments. · Trace API calls to LLMs, Azure OCR and Paradigm · Implement performance monitoring, alerting, and logging for deployed models using custom and third-party tools. · Automate model retraining and continuous deployment pipelines based on data drift and model performance metrics. · Ensure traceability, reproducibility, and auditability of ML experiments and deployments. · Collaborate with Data Scientists, ML Engineers, and DevOps teams to streamline ML workflows. · Apply CI/CD practices and version control to the entire ML lifecycle. · Ensure secure, reliable, and compliant deployment of models in production environments. --- Required Qualifications: · 5+ years of experience in MLOps, DevOps, or ML engineering roles, with a focus on production ML systems. · Proven experience deploying machine learning models using MLflow and workflow orchestration with Apache Airflow. · Hands-on experience with Kubernetes for container orchestration in ML deployments. · Proficiency with Databricks and/or Azure ML, including model training and deployment capabilities. · Solid understanding and practical experience with Terraform for infrastructure-as-code. · Experience automating model monitoring and retraining processes based on data and model drift. · Knowledge of CI/CD tools and principles applied to ML systems. · Familiarity with monitoring tools and observability stacks (e.g., Prometheus, Grafana, Azure Monitor). · Strong scripting skills in Python · Deep understanding of ML lifecycle challenges including model versioning, rollback, and scaling. · Excellent communication skills and ability to collaborate across technical and non-technical teams. --- Nice to Have: · Experience with Azure DevOps or GitHub Actions for ML CI/CD. · Exposure to model performance optimization and A/B testing in production environments. · Familiarity with feature stores and online inference frameworks. · Knowledge of data governance and ML compliance frameworks. · Experience with ML libraries like scikit-learn, PyTorch, or TensorFlow. --- Education: · Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Location: Remote (India-based preferred) Type: Full-time | Founding Team | High Equity Company: Flickd (www.flickd.in) About the Role We’re building India’s most advanced virtual try-on engine — think Doji meets TryOnDiffusion, but optimized for real-world speed, fashion, and body diversity. As our ML Engineer (Computer Vision + Try-On) , you’ll own the end-to-end pipeline : from preprocessing user/product images to generating hyper-realistic try-on results with preserved pose, skin, texture, and identity. You’ll have full autonomy to build, experiment, and ship — working directly with React, Spring Boot, DevOps, and design folks already in place. This is not a junior researcher role. This is one person building the brain of the system - and setting the foundation for India's biggest visual shopping innovation. What You’ll Build Stage 1: User Image Preprocessing Human parsing (face, body, hair), pose detection, face/limb alignment Auto orientation, canvas resizing, brightness/contrast normalization Stage 2: Product Image Processing Background removal, garment segmentation (SAM/U^2-Net/YOLOv8) Handle occlusions, transparent clothes, long sleeves, etc. Stage 3: Try-On Engine Implement and iterate on CP-VTON / TryOnDiffusion / FlowNet Fine-tune on custom data for realism, garment drape, identity retention Inference Optimisation TorchScript / ONNX, batching, inference latency minimization Collaborate with DevOps for Lambda/EC2 + GPU deployment Postprocessing Alpha blending, edge smoothing, fake shadows, cloth-body warps You’re a Fit If You: Have 2–5 years in ML/CV with real shipped work (not just notebooks) Have worked on: human parsing, pose estimation, cloth warping, GANs Are hands-on with PyTorch , OpenCV, Segmentation Models, Flow or ViT Can replicate models from arXiv fast, and care about output quality Want to own a system seen by millions , not just improve metrics Stack You’ll Use PyTorch, ONNX, TorchScript, Hugging Face DensePose, OpenPose, Segment Anything, Diffusion Models Docker, Redis, AWS Lambda, S3 (infra is already set up) MLflow or DVC (can be implemented from scratch) For exceptional talent, we’re flexible on cash vs equity split. Why This Is a Rare Opportunity Build the core AI product that powers a breakout consumer app Work in a zero BS, full-speed team (React, SpringBoot, DevOps, Design all in place) Be the founding ML brain and shape all future hires Ship in weeks, not quarters — and see your output in front of users instantly Apply now, or DM Dheekshith (Founder) on LinkedIn with your GitHub or project links. Let’s build something India’s never seen before.

About BNP Paribas Group BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Tabular & Text) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 1 year

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong hands-on experience of end-to-end statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years Of Experience Required 3-6 Years Education Qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Doctor of Philosophy, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Chatbots, Data Structures, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

About BNP Paribas Group BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Quant Research) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models on time series & financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Bachelor’s or Master’s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics) Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Knowledge of Monte Carlo Simulations, Bayesian modelling & Causal Inference. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI models on time-series & financial data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 2 years

Job Description: 7–10 years of industry experience, with at least 5 years in machine learning roles. Advanced proficiency in Python and common ML libraries: TensorFlow, PyTorch, Scikit-learn. Experience with distributed training, model optimization (quantization, pruning), and inference at scale. Hands-on experience with cloud ML platforms: AWS (SageMaker), GCP (Vertex AI), or Azure ML. Familiarity with MLOps tooling: MLflow, TFX, Airflow, or Kubeflow; and data engineering frameworks like Spark, dbt, or Apache Beam. Strong grasp of CI/CD for ML, model governance, and post-deployment monitoring (e.g., data drift, model decay). Excellent problem-solving, communication, and documentation skills.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong hands-on experience of end-to-end statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred Skill Sets AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years Of Experience Required 3-6 Years Education Qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Doctor of Philosophy, Bachelor of Engineering, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Chatbots, Data Structures, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Ignite the Future of Language with AI at Teradata! What You'll Do: Shape the Way the World Understands Data At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. You’ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software — from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems. If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up. We are seeking a highly skilled Senior AI Engineer to drive the development and deployment of Agentic AI systems with a strong emphasis on AI observability and data platform integration. You will work at the forefront of cutting-edge AI research and its practical application—designing, implementing, and monitoring intelligent agents capable of autonomous reasoning, decision-making, and continuous learning. Who You'll Work With: Join Forces with the Best Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions. What Makes You a Qualified Candidate: Skills in Action Architect and implement Agentic AI systems capable of multi-step reasoning, tool use, and autonomous task execution. Build and maintain AI observability pipelines to monitor agent behavior, decision traceability, model drift, and overall system performance. Design and develop data platform components that support real-time and batch processing, data lineage, and high-availability systems for AI training and inference workflows. Integrate LLMs and multi-modal models into robust AI agents using frameworks like LangChain, OpenAI, Hugging Face, or custom stacks. Collaborate with product, research, and MLOps teams to ensure smooth integration between AI agents and user-facing applications Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems. You are an excellent backend engineer who codes daily and owns systems end-to-end. Strong engineering background (Python/Java/Golang, API integration, backend frameworks) Strong system design skills and understanding of distributed systems. You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed. Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools. Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models). Solid understanding of model performance monitoring, drift detection, and responsible AI principles. What You Bring: Passion and Potential A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key. A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge! Design, develop, and deploy agentic systems integrated into the data platform. 5+ years of experience in software architecture, backend systems, or AI infrastructure. Strong experience with LLMs, transformers, and tools like OpenAI API, Anthropic Claude, or open-source LLMs. Deep understanding of AI observability (e. g. , tracing, monitoring, model explainability, drift detection, evaluation pipelines). Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes. Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines. Familiarity with modern data platform architecture Strong background in distributed systems, microservices, and cloud platforms (AWS, GCP, Azure). Experience in software development (Python, Go, or Java preferred). Familiarity with backend service development, APIs, and distributed systems. Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines. Bonus: Research experience or contributions to open-source agentic frameworks. You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions. Preferred Qualifications Experience with tools such as Arize AI, WhyLabs, Traceloop, or Prometheus + custom monitoring for AI/ML. Contributions to open-source agent frameworks or AI infra. Advanced degree (MS/PhD) in Computer Science, Artificial Intelligence, or related field. Experience working with multi-agent systems, real-time decision systems, or autonomous workflows. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.