5480 Deep Learning Jobs - Page 7

Role Overview: Straive is seeking a dynamic individual to lead a team of Data scientists in delivering complex models to address business problems. As a part of the team, you will be responsible for applying your expertise in Machine Learning, NLP, Reinforcement Learning, and Deep Learning to enhance search, browse, autocomplete, and recommendations experiences. Additionally, you will be involved in building, deploying, and maintaining predictive models for various purposes such as search relevance, query understanding, ranking, personalization, product sale forecasting, and product recommendation systems. You will have the opportunity to manage multiple projects independently, collaborate with cross-functional teams, and communicate analytical solutions to non-technical stakeholders and senior leadership. Key Responsibilities: - Lead a team of Data scientists to deliver complex models and address business problems. - Apply expertise in Machine Learning, NLP, Reinforcement Learning, and Deep Learning to enhance search, browse, autocomplete, and recommendations experiences. - Build, deploy, and maintain predictive models for search relevance, query understanding, ranking, personalization, product sale forecasting, and product recommendation systems. - Manage multiple projects independently with high autonomy and accountability. - Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. - Communicate analytical solutions to non-technical stakeholders and senior leadership. Qualifications Required: - 6+ years of experience in Machine Learning and Statistical Modeling in e-commerce or related environments. - Expertise in traditional and modern machine learning techniques including Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning. - Effective communication and presentation skills for complex quantitative analyses. - Prior experience working in the eCommerce sector is a plus. - Bachelors or masters degree in data science, Computer Science, Statistics, or a related field from a reputable institution.,

As a software engineer with 5+ years of professional experience in machine learning, natural language processing, and data science, you will be responsible for the following key responsibilities: - Demonstrate a strong understanding and hands-on experience with AI technologies such as ML, DL, NLP, and RL. - Utilize your expertise in data science principles and processes to work with NLP, LLMs, deep learning, and typical data used in such models. - Apply NLP techniques for text representation, semantic extraction, data structures, and modeling. - Utilize your strong programming skills in languages like Python, R, or Scala. - Proficiently work with popular deep learning frameworks like TensorFlow/Keras or PyTorch. - Utilize your experience with cloud services/environments such as Azure, AWS, and GCP ecosystems. - Apply your knowledge of HuggingFace and Langchain to enhance your work. Qualifications required for this role include: - Bachelor's or Master of Science Degree in Computer Science or a related field. - At least 5 years of professional experience as a software engineer with a focus on machine learning, NLP, and data science. - Strong programming skills in languages like Python, R, or Scala. - Proficiency in deep learning frameworks such as TensorFlow/Keras or PyTorch. - Experience with cloud services/environments like Azure, AWS, and GCP ecosystems. - Good understanding of HuggingFace and Langchain. You should also be able to create technical examples, prototypes, and demonstrations based on rapidly changing data and tool sets.,

As a Data Scientist at Impelox, you will be part of a collaborative team of passionate AI enthusiasts dedicated to innovation and work-life balance. **Role Overview:** Join a vibrant and collaborative environment at Impelox where your ideas are valued, and you can thrive professionally. As a Data Scientist, you will analyze complex datasets, build predictive models, and drive business insights using cutting-edge technology. **Key Responsibilities:** - Analyze complex datasets - Build predictive models - Drive business insights - Experiment with cutting-edge technology - Work with passionate AI enthusiasts - Prioritize innovation in your work **Qualifications Required:** - 3-6 years of experience in data science - Proficiency in Python, Deep Learning, Machine Learning, SQL, RAG, and LLM - Strong analytical and problem-solving skills - Ability to work effectively in a collaborative team environment Join Impelox to enjoy competitive salary, health insurance coverage, flexible working hours, hybrid work options, a professional development budget, modern office space, team outings, and mentorship programs. Embrace a transparent culture that values open communication, trust, respect, and diverse perspectives. Engage in fun team-building activities, celebrations, and events that promote camaraderie and work-life balance. Thrive professionally and personally with continuous learning opportunities and a supportive environment at Impelox in Chennai, India.,

Role Overview: As a Spec Analytics Intmd Analyst at our company, you will be a developing professional dealing with problems independently and solving complex issues with some latitude. You will integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices. Your role will involve understanding how your team and area integrate with others to accomplish sub function/job family objectives. Utilizing analytical thinking and knowledge of data analysis tools and methodologies, you will need attention to detail when making judgments and recommendations based on factual information. Your responsibilities will typically involve dealing with variable issues with potentially broader business impact. You will apply professional judgment when interpreting data and results, breaking down information in a systematic and communicable manner. Developed communication and diplomacy skills are required to exchange potentially complex/sensitive information, with a moderate but direct impact through close contact with the businesses" core activities. The quality and timeliness of service provided by you will affect the effectiveness of your team and other closely related teams. Key Responsibilities: - Work with large and complex data sets (internal and external) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools such as Python, Pyspark, HIVE, SQL to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, including utilizing statistical models/algorithms and data visualization techniques - Specialize in Marketing, Risk, or Digital fields - Assess risk appropriately when making business decisions, safeguarding the firm's reputation, and ensuring compliance with laws and regulations Qualifications: - 4-6 years of Data Science experience - Experience in model development and ML Ops Governance - In-depth understanding of Machine Learning and Deep Learning - AI and Gen AI skills are preferred - Strong problem-solving skills - Excellent communication and interpersonal skills, organized, detail-oriented, flexible, and adaptive to a matrix work environment - Ability to build partnerships with cross-functional leaders Additional Company Details: This job description is a high-level overview of the work to be performed. Other job-related duties may be assigned as required by the company. Note: The sections "Job Family Group," "Job Family," "Time Type," "Most Relevant Skills," and "Other Relevant Skills" are omitted as they do not provide specific job description details.,

As a Tech Lead specializing in Data & Analytics, you will be responsible for the following: **Role Overview:** You will play a crucial role in handling and processing data efficiently, ensuring optimal performance and data integrity. Additionally, you will be involved in data analysis, statistical modeling, and visualization to derive meaningful insights for the organization. **Key Responsibilities:** - Proficient in SQL Server with a focus on query optimization. - Expertise in application data design and process management. - Extensive knowledge of data modeling techniques. - Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. - Experience working with Azure Databricks. - Expertise in data warehouse development, including SSIS and SSAS. - Proficiency in ETL processes, data cleaning, and normalization. - Familiarity with big data technologies like Hadoop, Spark, and Kafka. - Understanding of data governance, compliance, and security within Azure environments. - Experience in data analysis, statistical modeling, and machine learning techniques. - Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy. - Strong expertise in Power BI for data visualization, data modeling, and DAX queries. - Experience in implementing Row-Level Security in Power BI. - Ability to work with medium-complex data models and understand application data design quickly. - Familiar with industry best practices for Power BI and performance optimization. - Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques. **Qualifications Required:** - Ability to lead a team of 4-5 developers and take ownership of deliverables. - Commitment to continuous learning and staying updated with new technologies. - Strong communication skills in English, both written and verbal. - Effective interaction with customers during project implementation. - Capability to explain complex technical concepts to non-technical stakeholders. In addition to technical skills, the following skills are preferred for this role: - Data Management: SQL, Azure Synapse Analytics, Azure Analysis Service, Data Marts, Microsoft Fabric - ETL Tools: Azure Data Factory, Azure Databricks, Python, SSIS - Data Visualization: Power BI, DAX This comprehensive role requires a blend of technical expertise, leadership skills, and effective communication to drive successful data and analytics projects within the organization.,

Role Overview: You will be responsible for developing a software pipeline for end-to-end ML Model Inference for a specific hardware accelerator, focusing on achieving maximum performance and accuracy. Your role will involve implementing cutting-edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using a customized inference pipeline for NN Processor. Additionally, you will be optimizing performance for inferencing the LLM Models in customized hardware with various layer types, including transformer, encoder-decoder, etc based models. Your work will require hardware architecture awareness and computation-conscious implementation of solutions in an embedded device to maximize throughput. Furthermore, you will develop tools and applications by producing clean, efficient code, collaborate with the team to brainstorm and create new products, and mentor fresh joiners to foster a team culture. Key Responsibilities: - Identify, prioritize, and execute tasks based on requirements. - Implement, review, debug code, and ensure product delivery with quick turnarounds. - Collaborate with the team to create new products. - Mentor fresh joiners and foster team culture. Qualifications Required: - BE/BTech/MS/MTech graduates with Computer Science Engineering with 4+ years of experience. - Solid programming experience in C/C++ with proven experience as a Senior Software Engineer. - Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. - Extensive experience in software development and project management. - Strong analytical and problem-solving skills. - Adaptable to execute complex tasks under tight schedules and dynamic conditions. - Familiarity with various operating systems (Linux, Mac OS, Windows). - Ability to work independently and manage a team. - Excellent organizational and leadership skills. - Working knowledge of Deep Learning frameworks (such as ONNX, TensorFlow, PyTorch, or any Hardware Accelerator Software Pipeline Experience). *Note: The job description did not include any additional details about the company.,

Role Overview: As a Computer Vision Engineer at DeepQuanty Artificial Intelligence Labs, you will have the opportunity to work in a startup environment and apply your cross-functional skill-sets, creativity, and experience in computer vision, machine learning, robotics, and control systems to solve exciting product development challenges. This role offers high visibility within the fast-growing company, with the expectation of assuming increased responsibilities over time. Key Responsibilities: - Utilize your 4+ years of experience as a software developer to contribute to the development of AI and machine learning solutions. - Apply your minimum 2 years of experience in AI/Machine Learning and minimum 1 year of experience in Deep Learning to drive innovation in computer vision projects. - Collaborate with the team to implement machine learning models in computer vision using frameworks such as OpenCV, Tensorflow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, and Numpy. - Demonstrate proficiency in Python programming and work with Flask/Django/Tornado frameworks. - Leverage your expertise in working with Development Environment on Linux to enhance product development processes. Qualifications Required: - Bachelor's or Master's Degree in Computer Science or a related field. - Strong background in Machine Learning in Computer Vision. - Hands-on experience with frameworks like OpenCV, Tensorflow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, and Numpy. - Proficiency in Python programming. - Experience working with Flask/Django/Tornado frameworks. - Familiarity with Development Environment on Linux. (Note: The additional details of the company were not included in the job description provided),

Role Overview: At EY, you will have the opportunity to build a career tailored to your uniqueness, with the necessary global support, inclusive culture, and technology to help you become the best version of yourself. Your individual voice and perspective are highly valued to contribute to making EY even better. By joining EY, you will craft an exceptional experience for yourself and contribute to creating a better working world for all. Key Responsibilities: - Convert business problems into analytical problems and develop solution approaches. - Clean, aggregate, analyze, and interpret data to extract valuable business insights. - Lead the AI/ML implementation process, including model design, feature planning, testing, production setup, monitoring, and release management. - Collaborate closely with Solution Architects to deploy AI POCs and scale up to production-level applications. - Utilize Python for data extraction techniques from complex documents like PDFs, Word Docs, and Forms. Qualifications Required: - Bachelor's or Master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or related field with a focus on modern data architectures. - Strong proficiency in Python with excellent coding skills. - 4+ years of experience in core data science areas such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, and API Deployment. - Additional skills include excellent communication skills, project management experience, proficiency in firms reporting tools, proactive nature, ability to analyze complex problems, and gather/analyze data from various sources. Company Details: EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams in over 150 countries, EY provides assurance and assists clients in growth, transformation, and operations across various sectors. Working at EY offers support, coaching, opportunities for skills development, career progression, and a flexible work environment to ensure personal growth and success.,

As an AI Engineering Manager at our company, your role will involve leading AI projects and driving innovation in deep learning applications. You should have a strong background in deep learning architectures like Convolutional Neural Networks (CNNs) and Transformers, along with experience in project management for AI initiatives. Key Responsibilities: - Lead the design, development, and deployment of AI solutions in alignment with organizational goals. - Manage AI projects from start to finish by effectively coordinating cross-functional teams and resources. - Supervise the implementation of deep learning algorithms, especially in medical image analysis applications. - Mentor and guide team members to create a collaborative and innovative work environment. - Ensure high-quality code development in Python, C, or C++ while possessing a solid grasp of object-oriented programming concepts. Qualifications: - Proven track record in managing AI projects and teams. - Profound knowledge of deep learning architectures like CNNs and Transformers. - Previous experience in the medical image analysis domain is desirable. - Proficiency in Python, C, and C++ programming languages. - Background in people management and team leadership. In addition, familiarity with machine learning frameworks such as TensorFlow and PyTorch, excellent communication skills, and the ability to collaborate effectively across teams are preferred. Candidates with publications in conferences like ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR will be given preference.,

As a Vice President - Data Scientist at Citi, you will be part of the Citi Analytics & Information Management (AIM) team, a global community that connects and analyzes information to create actionable intelligence for business leaders. Your role will involve developing and deploying advanced Machine Learning and Deep Learning models to drive innovation within the analytics and technology divisions. **Responsibilities:** - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection, processing, cleaning, and exploratory data analysis using statistical models, algorithms, and data visualization techniques - Assess risk appropriately when making business decisions and ensure compliance with applicable laws and regulations **Qualifications:** - 15+ years of experience in Analytics/Data Scientist in the financial services industry - Experience with natural language processing (NLP) and natural language generation (NLG) - Working experience in a quantitative field, specifically in the Financial/Credit Card industry - Proven track record of designing, developing, and deploying complex machine learning and deep learning models using RAG frameworks - Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras - Solid understanding of machine learning algorithms, data structures, and software engineering principles - Excellent communication and interpersonal skills, detail oriented, and adaptive to a matrix work environment **Education:** - Masters/Bachelors/PhD degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field; Engineering/MBA background from a premier institute At Citi, you will have access to programs and services for physical and mental well-being, financial planning support, learning and development resources, and work-life balance programs. Join a global family of dedicated professionals at Citi and take the next step in your career by applying for this role today.,

About the job: We are looking to hire a Computer Vision Engineer for our Tech team where you will be responsible for development and optimization of various computer vision algorithms/pipelines for video surveillance. Key responsibilities: 1. Development of object detection, classification, tracking, and counting algorithms. 2. Porting of already existing algorithms/pipelines to GPU. 3. Optimization of already existing CPU/GPU algorithms/pipelines. Required skills: 1. Proficiency in any programming language, preferably C++ or Python. 2. Strong understanding of image processing, computer vision algorithms and machine learning. 3. High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow. 4. Experience with rapid prototyping with e.g. Python, OpenCV. 5. Previous work in video surveillance is a big plus. 6. Should work independently as well as with team. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 4,00,000 - 8,00,000 /year Experience: 1 year(s) Deadline: 2025-10-12 23:59:59 Other perks: Health Insurance Skills required: OpenCV, Python, Computer Vision and Deep Learning About Company: i2v Systems is a technology company in video surveillance and video analytics software. i2V stands for intelligent integrated video. i2V is a technology R&D company focusing on the design, development, and production of intelligent surveillance products. The product offerings include IP video management software, intelligent video analytics/analysis using image processing, computer vision, machine, and deep learning, automatic number plate detection system, red light violation detection system, automatic traffic counting & classification (ATCC), central monitoring system, command, and control system, smart city dashboard, PSIM (physical security information management), incident management system, cloud surveillance, and mobile surveillance.

Role Overview: As a Senior Data Scientist at our company, you will play a crucial role in leveraging data to power intelligent systems and breakthrough research. You will lead end-to-end ML projects, explore cutting-edge AI applications, and mentor the next generation of data talent. If you are passionate about solving high-impact problems with Machine Learning and Generative AI, this role is tailored for you. Key Responsibilities: - Lead end-to-end ML projects, from research and experimentation to production deployment. - Explore and implement state-of-the-art research in ML and Generative AI. - Build and optimize deep learning and machine learning models for complex business challenges. - Collaborate across teams to transform insights into scalable products. - Mentor junior data scientists and interns to support their growth with impactful projects. Qualifications Required: - 5-7 years of experience in Data Science/Machine Learning roles. - Strong foundation in statistics, probability, and core ML algorithms such as Regression, Decision Trees, Gradient Descent, SVMs, etc. - Proficiency in Python and frameworks like Scikit-learn, TensorFlow, Keras, PyTorch. - Hands-on experience with transformer architectures and Large Language Models (LLMs). - Familiarity with tools like Langchain or LlamaIndex for LLM-based applications. - Ability to translate theoretical research into production-ready solutions.,

As an AI Engineering Manager/ Technical Leader (Computer Vision) at Avathon, you will play a crucial role in revolutionizing industrial AI by leveraging a powerful platform to unlock the full potential of operational data. Your responsibilities will include leading a team of AI engineers specializing in computer vision, deep learning, and backend services. Here's a breakdown of what to expect in this role: **Key Responsibilities:** - Lead, mentor, and grow a team of AI engineers focusing on computer vision, deep learning, and backend services. You will oversee the complete development lifecycle of computer vision models and scalable backend systems. - Drive the technical strategy and roadmap for AI-driven visual perception and backend solutions. - Collaborate with cross-functional teams to align business goals with engineering execution, including product management, data science, and UX design. - Establish best practices for model development, API design, scalability, and performance optimization. - Ensure ethical AI practices, fairness, and bias mitigation in computer vision applications. - Stay updated with the latest advancements in AI, computer vision, and backend technologies to incorporate relevant techniques. - Drive operational excellence by monitoring system performance, reliability, and security. Also, ensure adherence to accessibility, security, and compliance standards. - Establish best practices for mobile architecture, development, and DevOps pipelines. **Required Qualifications:** - Bachelor's or master's degree/ PhD in computer science, AI, Machine Vision Learning, or a related field. - 8+ years of software engineering experience, with at least 3+ years in a leadership role as a Principal Engineering or Lead Scientist or Lead Development Engineer. - Good expertise in computer vision, deep learning, and AI model development. Preferably experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms. - Proficiency in Python, C++, or another relevant programming language. Experience with cloud-based AI solutions (AWS, GCP, or Azure) and scalable backend infrastructure. - Prior experience in cutting-edge technologies impacting autonomous vehicles, healthcare, robotics, and augmented reality is preferred. If you are passionate about computer vision and eager to lead a dynamic and innovative team, Avathon encourages you to apply. Avathon is dedicated to providing reasonable accommodations throughout the recruiting process. Feel free to reach out to discuss how we can support you.,

As a Data Scientist at C5i, you will be part of a team that caters to some of the world's largest enterprises, including Fortune 500 companies across various sectors such as Technology, Media, Telecom, Pharma & Lifesciences, CPG, Retail, and Banking. C5i has garnered recognition from industry analysts like Gartner and Forrester for its Analytics and AI capabilities along with proprietary AI-based platforms. **Key Responsibilities:** - Possess 4+ years of experience in machine learning, deep learning, or AI research, focusing on generative models. - Demonstrated expertise in generative models including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models like GPT-3/4, BERT, DALL.E. - Understanding of model fine-tuning, transfer learning, and prompt engineering within the realm of large language models (LLMs). - Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applicable to generative tasks. - Proficient in Python programming and well-versed with relevant libraries and frameworks. - Proven hands-on experience in document detail extraction and feature engineering. - Proficiency in data processing and manipulation techniques. - Hands-on experience in developing data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong problem-solving skills and the ability to collaborate effectively in a team environment. - Excellent communication skills to articulate complex technical concepts to non-technical stakeholders. **Qualifications Required:** - 4+ years of experience in machine learning, deep learning, or AI research, with a specific focus on generative models. - Proficiency in generative models such as GANs, VAEs, and transformer-based models. - Knowledge of reinforcement learning and advanced machine learning techniques for generative tasks. - Strong programming skills in Python and familiarity with relevant libraries and frameworks. - Proven experience in document detail extraction and feature engineering. - Hands-on experience in building data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Please note that the Job Description also mentions that C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.,

Role Overview: You will be part of a global, multi-disciplinary team at HARMAN Digital Transformation Solutions (DTS) where you will harness the innovative power of technology to create solutions that transform the future. Your role will involve working at the convergence of cross channel UX, cloud, insightful data, IoT, and mobility to empower companies in creating new digital business models, entering new markets, and enhancing customer experiences. Key Responsibilities: - Develop novel algorithms for solving challenging 3D computer vision & Augmented Reality problems to enhance Mobile Camera user experience - Work on multi-view geometry related solutions and demonstrate strong knowledge & debugging skills in camera ISP - Continuously improve solutions using innovative ideas and ensure strict quality evaluation and regression testing - Actively participate in design discussions to enhance end-to-end development of solutions - Follow strict agile practices including regular code reviews Qualifications Required: - B.Tech/M.Tech in Electronics/Computer Science - At least 4 years of work experience in Computer Vision/Image Processing/Signal Processing/Machine Learning - Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning - Proficiency in Python, C++, Linux - Fluency in data structures, algorithms - Knowledge of embedded realization of ML models is a plus - Prior experience with Deep learning frameworks such as Tensorflow/Pytorch Additional Company Details: HARMAN is committed to creating an inclusive and empowering work environment where every employee is valued and encouraged to share their ideas and perspectives. They provide opportunities for training, development, and continuing education to support employees in their career growth. HARMAN's innovative technologies across automotive, lifestyle, and digital transformation solutions aim to make the world smarter, safer, and more connected, providing extraordinary experiences through exceptional engineering and design standards under iconic brands like JBL, Mark Levinson, and Revel.,

AI/ML Engineer: Looking for Immediate to 15 days joiner Mandatory Skill: AI/ML, Data Science, Python with Java Job Description: Design, develop, and deploy scalable AI/ML models, including Generative AI applications. Lead end-to-end data science projects: data collection, preprocessing, modeling, and evaluation. Collaborate with cross-functional teams to integrate models into production systems. Optimize model performance and ensure robustness across diverse datasets. Conduct research and stay updated on the latest advancements in AI/ML and Gen AI.

You will be responsible for the following key roles: - AI/ML Developer (2-3 years experience): - Develop, fine-tune, and deploy AI/ML models. - Senior AI/ML Developer (5-7 years experience): - Lead AI/ML projects, optimize large-scale models, and mentor junior developers. Qualifications required for the role include: - B.Tech / M.Tech in Computer Science, AI, or related fields. - AI/ML Developer: - 2-3 years of experience in AI/ML development, strong in Python, TensorFlow/PyTorch, data engineering. - Senior AI/ML Developer: - 5-7 years of experience with expertise in LMs, deep learning, scalable architectures, and performance optimization. - Experience with MLOps tools MLflow, Kubeflow, Docker, Kubernetes) and cloud-based AI solutions. - Strong understanding of data structures, algorithms, and model deployment. Join a team that is actively shaping the future of AI-powered applications!,

As a Gen AI Researcher for Audio at Brahma, your role will involve researching and developing state-of-the-art voice synthesis models, building and fine-tuning models using frameworks like PyTorch and HuggingFace, designing training pipelines and datasets for scalable voice model training, exploring techniques for emotional expressiveness, multilingual synthesis, and speaker adaptation, working closely with product and creative teams to ensure models meet quality and production constraints, and staying updated on academic and industrial trends in speech synthesis and related fields. Key Responsibilities: - Research and develop state-of-the-art voice synthesis models such as TTS, voice cloning, and speech-to-speech. - Build and fine-tune models using frameworks like PyTorch and HuggingFace. - Design training pipelines and datasets for scalable voice model training. - Explore techniques for emotional expressiveness, multilingual synthesis, and speaker adaptation. - Collaborate with cross-functional teams to integrate your work into production-ready pipelines. - Stay on top of academic and industrial trends in speech synthesis and related fields. Qualifications Required: - Strong background in machine learning and deep learning, with a focus on speech/audio. - Hands-on experience with TTS, voice cloning, or related voice synthesis tasks. - Proficiency with Python and PyTorch; experience with libraries like torchaudio, ESPnet, or similar. - Experience training models at scale and working with large audio datasets. - Familiarity with vocoders and transformer-based architectures. - Strong problem-solving skills and the ability to work autonomously in a remote-first environment. Brahma is a pioneering enterprise AI company that develops Astras, AI-native products designed to help enterprises and creators innovate at scale. Part of the DNEG Group, Brahma brings together Hollywood's leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.,

Job Description : Generative AI Developer (1- 4 Years) We are looking for a talented Generative AI Developer with 1- 4 years of experience to join our team and contribute to building next-generation AI-driven applications. The ideal candidate will have strong expertise in Python, AI agents, RAG pipelines, and practical experience across machine learning, deep learning, NLP, and computer vision. You will work on designing, developing, and deploying generative AI systems in production. Role & responsibilities Design, develop, and optimize AI agent workflows, including multi-agent systems and agentic RAG pipelines. Implement and maintain solutions using frameworks such as LangChain, LangGraph, or Autogen. Build, fine-tune, and deploy generative AI models (LLMs) for real-world use cases. Work with both relational (PostgreSQL) and non-relational databases (MongoDB), and manage vector databases (Milvus, Qdrant) for semantic search and retrieval. Develop custom machine learning and deep learning models for NLP and computer vision applications. Apply prompt engineering strategies for LLM applications and perform model fine-tuning for domain-specific tasks. Collaborate with cross-functional teams to integrate AI capabilities into scalable products. Stay updated on the latest research in generative AI, multi-agent frameworks, and applied ML solutions. Strong experience in using AI-native development framework like Cursor. Must-Have Skills Strong proficiency in Python. Solid understanding of AI Agents, Multi-Agent Systems, and Agentic RAG. Hands-on experience with LangChain, LangGraph, or Autogen. Knowledge of PostgreSQL, MongoDB, and vector databases (Milvus, Qdrant). Proven experience in developing and deploying Machine Learning and Deep Learning models. Practical knowledge in Natural Language Processing. Experience with Prompt Engineering and LLM fine-tuning.

Title : Tech Lead/Tech Specialist/Solution Architect - Generative AI Work Loc: Chennai / Pune Role & responsibilities: Create Gen AI technical strategy and build frameworks and accelerators to help customers Should research and create technical roadmap for Healthcare customers. Possess an unparalleled understanding of core AI and GenAI concepts machine learning, deep learning, NLP, computer vision, generative models, and more. Stay at the forefront of AI/GenAI advancements, identifying and championing new applications for our business. Lead and mentor a team of AI engineers and data scientists, fostering a collaborative and innovative environment. Design, develop, and deploy cutting-edge AI and GenAI solutions across various domains. Must have exposure of implementing AI projects in Healthcare space. Oversee the entire AI/GenAI development lifecycle, from problem definition to model deployment and performance monitoring. Collaborate cross-functionally to ensure seamless integration of AI solutions within our products and workflows. Advocate for responsible AI practices and ensure adherence to ethical guidelines. Translate complex technical concepts into clear and concise language for both technical and non-technical audiences. Analyze and optimize AI model performance, identifying opportunities for continuous improvement. Preferred candidate profile Minimum 5 Years of Experience in 5 Years from Data Science/Artificial Intelligence and 2+ Years into Generative AI. Experience in developing and deploying AI/ Gen AI solutions that deliver real-world business value. n-depth knowledge of machine learning algorithms, deep learning frameworks, and natural language processing techniques. Extensive experience with generative AI models (e.g., GANs, VAEs) and RAG framework and their applications. Strong software development skills in Python and familiarity with relevant AI/ML libraries. Exceptional communication, collaboration, and problem-solving skills. The ability to translate complex technical concepts into clear and concise language. A passion for AI and a drive to push the boundaries of what's possible. Why Join Us? Be at the forefront of AI and GenAI innovation. Collaborate with a talented team of AI/GenAI experts. Work on challenging and impactful projects that make a real difference. Enjoy a fast-paced and stimulating work environment. Receive competitive compensation and benefits. Eligible & Interested resource can share your updated resume, availability for a virtual tech interview on Saturday, 13Sep25.

Job Summary: We're seeking an experienced Artificial Intelligence Engineer to be part of our digital transformation across Skipper Limited's operations in India. You'll leverage AI technologies like deep learning, NLP, computer vision, and robotics to drive business innovation, improve outcomes, and shape our AI strategy. Objectives of this Role: - Manage and direct AI processes and R&D aligned with Skipper's business goals - Identify how AI can address company and client challenges across PVC, sanitary ware, T&D sectors - Lead cross-functional teams to drive AI adoption for business benefits - Analyze and explain AI/ML solutions maintaining high ethical standards Key Responsibilities: - Advise leadership on AI technology, strategy, and policy impacting Skipper's operations - Collaborate on functional design, process design, prototyping for AI solutions pan-India - Articulate solutions architecture and lessons learned across projects - Assess AI market trends and competitor landscape for Skipper's businesses - Liaise between stakeholders and project teams across locations Required Skills and Qualifications: - 5-7 years overall experience; 3+ years applying AI to practical solutions - Expertise in ML, deep learning, TensorFlow, Python, NLP - Experience in program leadership, governance, change enablement - Knowledge of algorithms, object-oriented design - REST API development, NoSQL/RDBMS design Preferred Skills and Qualifications: - Bachelor's/Master's in Computer Science or related field - Experience with innovation accelerators - Cloud environments experience Why Join Skipper Limited? Join a leading Indian manufacturer shaping the future of building materials and T&D solutions with digital innovation! Contribute to AI-driven transformation impacting operations across India. Be part of a dynamic team driving growth and excellence.

Job Title: Senior AI Engineer Location: Hyderabad Experience: 25 Years About the Role: We are looking for a highly motivated Senior AI Engineer to join our growing team. The ideal candidate will have hands-on experience in Python, Machine Learning/Deep Learning, and Generative AI , with a strong focus on building and deploying scalable AI solutions. Experience with Azure and deploying AI use cases into production is a strong advantage. Key Responsibilities: Design, develop, and deploy AI/ML solutions for real-world use cases. Work on Deep Learning and Generative AI models to build innovative solutions. Optimize models for performance, scalability, and deployment. Collaborate with cross-functional teams including data engineers, product managers, and cloud architects. Leverage Azure AI/ML services (or similar cloud platforms) to build end-to-end pipelines. Stay updated with the latest research and trends in AI/ML/GenAI and apply them to projects. Required Skills: Strong programming experience in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Hands-on experience in Deep Learning and Machine Learning techniques . Solid understanding of Generative AI models (LLMs, diffusion models, etc.) . Experience with Azure ML / Azure AI services (preferred) or other cloud platforms. Proven experience in deploying AI/ML models into production. Strong problem-solving, analytical, and communication skills. Good to Have: Knowledge of MLOps frameworks (MLflow, Kubeflow, Azure ML pipelines). Experience with data engineering tools (Spark, Databricks). Contribution to research papers, open-source AI projects, or hackathons. Education: Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or related field.

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6--8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications

About the Role As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Preferred Qualifications: M.Tech or Ph.d in Computer Science with a specialization in Machine Learning. 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains. Exposure in real-time bidding systems, programmatic advertising, or ad exchanges. Track record of successful research-to-product transitions. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).