9815 Tensorflow Jobs - Page 27

At Rhythm, our values serve as the cornerstone of our organization. We are deeply committed to customer success, fostering innovation, and nurturing our employees. These values shape our decisions, actions, and interactions, ensuring that we consistently create a positive impact on the world around us. Rhythm Innovations is currently looking for a skilled and enthusiastic Machine Learning (ML) Developer to conceptualize, create, and implement machine learning models that enhance our supply chain risk management and other cutting-edge solutions. As an ML Developer, you will collaborate closely with our AI Architect and diverse teams to construct intelligent systems that tackle intricate business challenges and further our goal of providing unparalleled customer satisfaction. Key Responsibilities Model Development: Devise, execute, and train machine learning models utilizing cutting-edge algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Data Preparation: Process, refine, and convert extensive datasets for the training and assessment of ML models. Feature Engineering: Identify and engineer pertinent features to enhance model performance and precision. Algorithm Optimization: Explore and implement advanced algorithms to cater to specific use cases such as classification, regression, clustering, and anomaly detection. Integration: Coordinate with software developers to integrate ML models into operational systems and guarantee smooth functionality. Performance Evaluation: Assess model performance using suitable metrics and consistently refine for accuracy, efficacy, and scalability. MLOps: Aid in establishing and overseeing CI/CD pipelines for model deployment and monitoring in production environments. Research and Development: Stay abreast of the latest breakthroughs in Gen AI AI/ML technologies and propose inventive solutions. Collaboration: Engage closely with data engineers, product teams, and stakeholders to grasp requirements and deliver customized ML solutions. Requirements Educational Background: Bachelor's in Engineering in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3 to 6 years of practical experience in developing and deploying machine learning models. Technical Skills Proficiency in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Familiarity with big data frameworks (Hadoop, Spark) is advantageous. Knowledge of SQL/NoSQL databases and data pipeline tools (e.g., Apache Airflow). Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their Gen AI AI/ML services. Thorough understanding of supervised and unsupervised learning, deep learning, and reinforcement learning. Exposure to MLOps practices and model deployment pipelines. Soft Skills Strong problem-solving and analytical abilities. Effective communication and teamwork skills. Capability to thrive in a dynamic, collaborative environment.,

The Junior AI/ML Engineer role at Fulcrum Digital is an opportunity for an aspiring AI innovator and technical enthusiast to kickstart their AI journey by contributing to the development of cutting-edge AI solutions. This hybrid work model position allows employees to work from the office twice a week, with office locations in Pune, Mumbai, or Coimbatore to choose from based on preference and convenience. As a Junior AI/ML Engineer, you will collaborate with experienced professionals to build and implement innovative AI models and applications that solve real-world problems. This role offers more than just an entry-level experience by providing hands-on experience in developing and deploying AI/ML models, working on impactful projects, and learning and growing in a dynamic and innovative environment. Key responsibilities include assisting in the development and implementation of AI/ML models and algorithms, contributing to data preprocessing and feature engineering processes, supporting model evaluation and optimization, collaborating on research initiatives, and assisting in deployment and monitoring of AI/ML solutions. The ideal candidate should have a foundational understanding of machine learning concepts, programming skills in Python, familiarity with TensorFlow or PyTorch, and basic knowledge of data manipulation using libraries like Pandas and NumPy. Strong analytical, problem-solving, and communication skills are essential, along with a proactive and eager-to-learn attitude. The successful candidate will have a Bachelor's degree in Computer Science, Data Science, or a related field, a passion for artificial intelligence and machine learning, and a desire for continuous learning in the field of AI. Superpowers should include the ability to identify patterns in data, explain technical concepts clearly, consider ethical implications in AI development, and maintain an interest in staying updated with advancements in the field. Joining Fulcrum Digital as a Junior AI/ML Engineer offers the opportunity to work on exciting AI projects, be mentored by experienced professionals, contribute to innovative technological solutions, and gain valuable experience in a rapidly evolving field. If you are ready to be part of the AI revolution and shape the future of technology, apply now by sending your resume to the provided email address with the subject line "Application for Junior AI/ML Engineer".,

Build the AI Reasoning Layer for Education We’re reimagining the core intelligence layer for education —tackling one of the most ambitious challenges in AI: subjective assessment automation and ultra-personalized learning at scale. This isn’t just another LLM application. We’re building a first-principles AI reasoning engine combining multi-modal learning, dynamic knowledge graphs, and real-time content generation . The goal? To eliminate billions of wasted hours in manual evaluation and create an AI that understands how humans learn . As a Founding AI Engineer , you’ll define and build this system from the ground up. You’ll work on problems few have attempted, at the bleeding edge of LLMs, computer vision, and generative reasoning. What You’ll Be Solving: Handwriting OCR at near-human accuracy: How can we push vision-language models to understand messy, real-world input from students? Real-time learner knowledge modeling: Can AI track and reason about what someone knows—and how they’re learning—moment to moment? Generative AI that teaches: How do we create dynamic video lessons that evolve in sync with a learner’s knowledge state? Scalable inference infrastructure: How do we optimize LLMs and multimodal models to support millions of learners in real time? What You’ll Be Building: Architect, deploy & optimize multi-modal AI systems—OCR, knowledge-state inference, adaptive content generation. Build reasoning engines that combine LLMs, retrieval, and learner data to dynamically guide learning. Fine-tune foundation models (LLMs, VLMs) and implement cutting-edge techniques (quantization, LoRA, RAG, etc.). Design production-grade AI systems: modular, scalable, and optimized for inference at global scale. Lead experiments at the frontier of AI research, publishing if desired. Tech Stack & Skills Must-Have: Deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning and handwritten text recognition Strong proficiency in AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV. Experience in optimizing AI for production: LLM quantization, retrieval augmentation, and MLOps. Knowledge graphs and AI-driven reasoning systems experience Nice-to-Have: Experience with Diffusion Models, Transformers, and Graph Neural Networks (GNNs). Expertise in vector databases, real-time inference pipelines, and low-latency AI deployment. Prior experience in ed-tech, adaptive learning AI, or multi-modal content generation. Why This Role Is Rare Define the AI stack for a category-defining product at inception. Work with deep ownership across research, engineering, and infrastructure. Founding-level equity and influence in a high-growth company solving a $100B+ problem. Balance of cutting-edge research and real-world deployment. Solve problems that matter —not just academically, but in people’s lives. Who this role is for This is for builders at the edge—engineers who want to architect, not just optimize. Researchers who want their ideas shipped.If you want to: Push LLMs, CV, and multimodal models to their performance limits. Build AI that learns, reasons, and adapts like a human tutor. Shape the foundational AI layer for education

Job Information Industry IT Services Date Opened 07/30/2025 Job Type Full time Work Experience 1-3 years City Chandigarh State/Province Chandigarh Country India Zip/Postal Code 160002 Job Description About CrossML CrossML is a cutting-edge software development firm specializing in AI and machine learning solutions. We deliver innovative technologies to empower businesses and enhance operational efficiency. Join us to work on impactful projects and stay ahead in the evolving tech landscape. Position Overview We are seeking a skilled AI Full Stack Developer with 1-2 years of experience in design, develop, and implement AI-driven applications. This role requires a combination of expertise in web development and a strong foundation in AI/ML. Requirements Key Responsibilities Develop, test, and deploy AI-driven web applications. Design and maintain front-end (React/Angular) and back-end (Node.js/Django/Flask) systems. Build and integrate AI/ML models into applications using frameworks like TensorFlow or PyTorch. Work with databases (SQL/NoSQL) to store and manage application data. Collaborate with cross-functional teams to design scalable solutions. Optimise applications for maximum performance and scalability. Required Skills Proficiency in Python and JavaScript. Experience with front-end frameworks (React/Angular) and back-end technologies (Node.js/Django/Flask). Basic understanding of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Familiarity with RESTful APIs and version control systems (Git). Strong problem-solving and debugging skills. Benefits What We Offer Medical Insurance: Comprehensive coverage. 5-Day Work Week: Healthy work-life balance. Paid Time Off: Relax and recharge. Learning Opportunities: Upskill with AI/ML and full-stack development training programs. Join CrossML and become part of a dynamic team where innovation and growth are at the core of everything we do.

Location Bangalore, Karnataka, India Employment Type Full time Location Type Hybrid Department R&D - SW Systems Compensation IC5 $155.3K – $234.4K • Offers Equity • Offers Bonus The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Bangalore, India headquarters 3 days per week. What you will do: The role requires you to be part of the team that helps productize the SW stack for the d-Matrix AI compute engine. As part of the Software QA team, you will be responsible for the test automation development for d-Matrix components and products, and you will be responsible for maintaining and improving the test infrastructure for next-generation AI hardware. You have the logic to build and scale the test framework to deliver highly qualified software stacks and hardware products. As a part of the SW-QA team, you’ll be involved in leveraging the d-Matrix Gitlab CI/CD infrastructure and Pytest framework to achieve component and end-to-end qualification. You will be involved in developing large language model accuracy, benchmarking, and robustness testing using your own developed automation. You will work with global ML core kernel teams, compiler teams, runtime teams, hardware architecture experts, and machine learning model researchers during the qualification process. You also could contribute to the new ML/AI technologies. What you will bring: Bachelor's or master's degree in Computer Science, Electrical Engineering, or related degree with 7+ Years of Industry Experience Good knowledge of large language models and machine learning fundamentals Good knowledge of Python programming, Python Data Structures, and Linux environment Self-motivated team player Desired: Prior startup, small team experience Experience with Machine Learning models and their layers Experience with Deep Learning, Tensorflow, Transformers, and PyTorch testing Knowledge of Gitlab CI/CD infrastructure Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. Job Title: DevOps Engineer - AI, R&D Location: Bengaluru, Karnataka, India (hybrid) About o9 Solutions: o9 Solutions is a leading enterprise AI software platform provider for transforming planning and decision-making capabilities. We are building the next generation of AI-powered solutions to help businesses optimize their operations and drive innovation. Our Next-Gen AI R&D team is at the forefront of this mission, pushing the boundaries of what's possible with artificial intelligence. About the Role... We are looking for a highly skilled and motivated DevOps Engineer to join our Next-Gen AI R&D team. In this role, you will be instrumental in developing and implementing MLOps strategies for Generative AI models, designing and managing CI/CD pipelines for ML workflows, and ensuring the robustness, scalability, and reliability of our AI solutions in production environments. What you will do in this role: Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. Design and manage CI/CD pipelines specialized for ML workflows, including the deployment of generative models such as GANs, VAEs, and Transformers. Monitor and optimize the performance of AI models in production, employing tools and techniques for continuous validation, retraining, and A/B testing. Collaborate with data scientists and ML researchers to understand model requirements and translate them into scalable operational frameworks. Implement best practices for version control, containerization, infrastructure automation, and orchestration using industry-standard tools (e.g., Docker, Kubernetes). Ensure compliance with data privacy regulations and company policies during model deployment and operation. Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. Stay up-to-date with the latest developments in MLOps and Generative AI, bringing innovative solutions to enhance our AI capabilities. What you'll have.. Must Have: Minimum 3 years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing proofs of concept and prototypes. Strong background in software development, with experience in building and maintaining scalable, distributed systems. Strong programming skills in languages like Python and familiarity in ML frameworks and libraries (e.g., TensorFlow, PyTorch). Knowledge of containerization and orchestration tools like Docker and Kubernetes. Proficiency with MLOps tools such as MLflow, Kubeflow, Airflow, or similar for managing machine learning workflows and lifecycle. Practical understanding of generative AI frameworks (e.g., HuggingFace Transformers, OpenAI GPT, DALL-E). Expertise in containerization technologies like Docker and orchestration tools such as Kubernetes for scalable model deployment. Expertise in MLOps and LLMOps practices, including CI/CD for ML models. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and their ML/AI service offerings. Experience with continuous integration and delivery tools such as Jenkins, GitLab CI/CD, or CircleCI. Experience with infrastructure as code tools like Terraform or CloudFormation. Experience with advanced GenAI applications such as natural language generation, image synthesis, and creative AI. Familiarity with experiment tracking and model registry tools. Knowledge of high-performance computing and parallel processing techniques. Contributions to open-source MLOps or GenAI projects. What we’ll do for you: Flat organization: With a very strong entrepreneurial culture (and no corporate politics). Great people and unlimited fun at work. Possibility to really make a difference in a scale-up environment. Support network: Work with a team you can learn from every day. Diversity: We pride ourselves on our international working environment. AI is firmly on every CEO's agenda, o9 @ Davos & Reflections: https://o9solutions.com/articles/why-ai-is-topping-the-ceo-agenda/ Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works... Respond with your interest to us. We’ll contact you either via video call or phone call - whatever you prefer, with the further schedule status. During the interview phase, you will meet with the technical panel for 60 minutes. We will contact you after the interview to let you know if we’d like to progress your application. There will be 2-3 rounds of technical discussion followed by a Managerial round. We will let you know if you’re the successful candidate. Good luck! Why Join o9 Solutions? At o9, you'll be at the forefront of AI innovation, working with a dynamic team that's shaping the future of enterprise solutions. We offer a stimulating and rewarding environment where your contributions directly impact cutting-edge projects. You'll gain invaluable experience with the latest AI technologies and significantly grow your skills. Join us and be a key player in building the next generation of intelligent solutions that truly transform businesses! More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value. o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

Job Information Date Opened 07/30/2025 Job Type Full time Industry IT Services Work Experience 7-8 years City Pune State/Province Maharashtra Country India Zip/Postal Code 411057 About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Job Description About the Position: We at nCircle Tech aspire to be an organization that provides exciting and challenging work to build next-generation software built using the latest technologies. We are looking for talented software engineers who have passion for developing programs in the domain of CAD/CAD/CAE/3D visualization. Key responsibilities include: Research, explore, evaluate, and deploy open-source computer vision models for various use cases related to image and video validation, as well as 3D data such as CAD models or LiDAR point clouds . Requirements Requirement- 7-8 years of experience in Machine Learning, Deep Learning ,Computer vision, Data analytics Python proficiency : Especially with libraries like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. Machine Learning & Deep Learning : Solid understanding of supervised, unsupervised, and reinforcement learning; neural networks (CNNs, RNNs, Transformers). Prompt Engineering and Natural Language Processing (NLP) : Tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., GPT, BERT). Model Evaluation and Deployment : Experience with Docker, Kubernetes, REST APIs, and serving models using FastAPI, Flask, or TorchServe. Cloud Platforms : Familiarity with AWS, Azure, or GCP for scalable deployment and model hosting. Version Control & CI/CD : Git, GitHub Actions, Jenkins for automated testing and deployment. Good to have - fullstack development. Benefits Benefits An environment of growth and learning Opportunity to work with international and multicultural clients Lead a young and talented team Flexible working hours Team building events Training, books and all you need to feel empowered Industry leading compensation structures And a Referral Bonus if you bring other talented people like you

As a Data Scientist at Setu, you will have the opportunity to be a part of a team that is revolutionizing the fintech landscape. Setu believes in empowering every company to become a fintech company by providing them with cutting-edge APIs. The Data Science team at Setu is dedicated to understanding the vast population of India and creating solutions for various fintech sectors such as personal lending, collections, PFM, and BBPS. In this role, you will have the unique opportunity to delve deep into the business objectives and technical architecture of multiple companies, leading to a customer-centric approach that fosters innovation and delights customers. The learning potential in this role is immense, with the chance to explore, experiment, and build critical, scalable, and high-value use cases. At Setu, innovation is not just a goal; it's a way of life. The team is constantly pushing boundaries and introducing groundbreaking methods to drive business growth, enhance customer experiences, and streamline operational processes. From computer vision to natural language processing and Generative AI, each day presents new challenges and opportunities for breakthroughs. To excel in this role, you will need a minimum of 2 years of experience in Data Science and Machine Learning. Strong knowledge in statistics, tree-based techniques, machine learning, inference, hypothesis testing, and optimizations is essential. Proficiency in Python programming, building Data Pipelines, feature engineering, pandas, sci-kit-learn, SQL, and familiarity with TensorFlow/PyTorch are also required. Experience with deep learning techniques and understanding of DevOps/MLOps will be a bonus. Setu offers a dynamic and inclusive work environment where you will have the opportunity to work closely with the founding team who built and scaled public infrastructure such as UPI, GST, and Aadhaar. The company is dedicated to your growth and provides various benefits such as access to a fully stocked library, tickets to conferences, learning sessions, and development allowance. Additionally, Setu offers comprehensive health insurance, access to mental health counselors, and a beautiful office space designed to foster creativity and collaboration. If you are passionate about making a tangible difference in the fintech landscape, Setu offers the perfect platform to contribute to financial inclusion and improve millions of lives. Join us in our audacious mission and obsession with craftsmanship in code as we work together to build infrastructure that directly impacts the lives of individuals across India.,

You are a highly skilled and experienced Senior Engineer in Data Science who will be responsible for designing and implementing next-generation data science solutions. Your role will involve shaping the data strategy and driving innovation through advanced analytics and machine learning. In this position, your responsibilities will include providing technical leadership and designing end-to-end data science solutions. This encompasses data acquisition, ingestion, processing, storage, modeling, and deployment. You will also be tasked with developing and maintaining scalable data pipelines and architectures using cloud-based platforms and big data technologies to handle large volumes of data efficiently. Collaboration with stakeholders to define business requirements and translate them into technical specifications is essential. As a Senior Engineer in Data Science, you will select and implement appropriate machine learning algorithms and techniques, staying updated on the latest advancements in AI/ML to solve complex business problems. Building and deploying machine learning models, monitoring and evaluating model performance, and providing technical leadership and mentorship to junior data scientists are also key aspects of this role. Furthermore, you will contribute to the development of data science best practices and standards. To qualify for this position, you should hold a B.Tech/M.Tech/M.Sc (Mathematics/Statistics)/PhD from India or abroad. You are expected to have at least 4+ years of experience in data science and machine learning, with a total of around 7+ years of overall experience. A proven track record of technical leadership and implementing complex data science solutions is required, along with a strong understanding of data warehousing, data modeling, and ETL processes. Expertise in machine learning algorithms and techniques, time series analysis, programming proficiency in Python, knowledge of general data science tools, domain knowledge in Industrial, Manufacturing, and/or Healthcare, proficiency in cloud-based platforms and big data technologies, and excellent communication and collaboration skills are all essential qualifications for this role. Additionally, contributions to open-source projects or publications in relevant fields will be considered an added advantage.,

Job Title : Python Developer AI/ML Location : Bangalore / Chennai / Hyderabad (Hybrid) Experience : 6 to 8 Years Employment Type : Full-Time Description : Responsibilities We are looking for a skilled Python Developer with a strong background in Artificial Intelligence and Machine Learning to join a high-impact, data-driven project. If you're passionate about building scalable ML solutions and thrive in collaborative environments, this role is for & Responsibilities : Design and implement scalable Machine Learning models and AI-driven applications Collaborate with cross-functional teams to define technical solutions and integrate ML models Perform data preprocessing, transformation, and feature engineering Continuously optimize model accuracy and system performance Ensure code quality, versioning, and documentation across the ML Skills : 6 to 8 years of hands-on experience with Python development Strong foundation in Machine Learning algorithms and AI techniques Proficiency in libraries such as TensorFlow, Keras, scikit-learn Experience in model training, tuning, evaluation, and deployment Excellent analytical and problem-solving (Good to Have) : Familiarity with cloud platforms (AWS, GCP, Azure) Exposure to deploying ML models in production environments Knowledge of data visualization We Offer : Opportunity to work on innovative AI/ML solutions Hybrid work model with flexibility Collaborative and growth-driven work culture (ref:hirist.tech)

AI / Generative AI Engineer Location: Remote ( Pan India ). Job Type: Fulltime. NOTE: "Only immediate joiners or candidates with a notice period of 15 days or less will be We are seeking a highly skilled and motivated AI/Generative AI Engineer to join our innovative team. The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies. This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and/or modern data platforms (Databricks, Snowflake). You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences. Key Responsibilities Design and Development : Design, build, train, and deploy scalable and robust AI/ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models). Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting. Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance. Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity. Platform Expertise Leverage cloud AI/ML services on GCP (e.g., Vertex AI, AutoML, BigQuery ML, Model Garden, Gemini), AWS (e.g., SageMaker, Bedrock, S3), Databricks, and/or Snowflake to build and deploy solutions. Architect and implement AI solutions ensuring scalability, reliability, security, and cost-effectiveness on the chosen platform(s). Optimize data storage, processing, and model serving components within the cloud or data platform ecosystem. MLOps And Productionization Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and lifecycle management. Deploy models into production environments and ensure their performance, scalability, and reliability. Monitor and optimize the performance of AI models in production, addressing issues related to accuracy, speed, and resource utilization. Collaboration And Innovation Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements, define solutions, and integrate AI capabilities into applications and workflows. Stay current with the latest advancements in AI, Generative AI, machine learning, and relevant cloud/data platform technologies. Lead and participate in the ideation and prototyping of new AI applications and systems. Ensure AI solutions adhere to ethical standards, responsible AI principles, and regulatory requirements, addressing issues like data privacy, bias, and fairness. Documentation And Communication Create and maintain comprehensive technical documentation for AI models, systems, and processes. Effectively communicate complex AI concepts and results to both technical and non-technical audiences. Required Qualifications 8+ years of experience with software development in one or more programming languages, and with data structures/algorithms/Data Architecture. 3+ years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3+ years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role. Strong programming skills in Python. Familiarity with other languages like Java, Scala, or R is a plus. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning concepts (e.g., CNNs, RNNs, Transformers), and statistical modeling. Hands-on experience with developing and deploying Generative AI models and techniques, including working with Large Language Models (LLMs like GPT, BERT, LLaMA, etc.). Proficiency in using common AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, LangChain, etc. Demonstrable experience with at least one of the following cloud/data platforms: GCP: Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI/ML services. AWS: Experience with SageMaker, Bedrock, S3, and other AWS AI/ML services. Databricks: Experience building and scaling AI/ML solutions on the Databricks Lakehouse Platform, including MLflow. Snowflake: Experience leveraging Snowflake for data warehousing, data engineering for AI/ML workloads, and Snowpark. Experience with data engineering, including data acquisition, cleaning, transformation, and building ETL/ELT pipelines. Knowledge of MLOps tools and practices for model deployment, monitoring, and management. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. (ref:hirist.tech)

You are ready to gain the skills and experience required to progress within your role and advance your career, and there is an excellent software engineering opportunity waiting for you. As a Software Engineer II at JPMorgan Chase in the Corporate Technology organization, you play a crucial role in the Data Services Team dedicated to enhancing, building, and delivering trusted market-leading Generative AI products securely, stably, and at scale. Being a part of the software engineering team, you will implement software solutions by designing, developing, and troubleshooting multiple components within technical products, applications, or systems while continuously enhancing your skills and experience. Your responsibilities include executing standard software solutions, writing secure and high-quality code in at least one programming language, designing and troubleshooting with consideration of upstream and downstream systems, applying tools within the Software Development Life Cycle for automation, and employing technical troubleshooting to solve basic complexity technical problems. Additionally, you will analyze large datasets to identify issues and contribute to decision-making for secure and stable application development, learn and apply system processes for developing secure code and systems, and contribute to a team culture of diversity, equity, inclusion, and respect. The qualifications, capabilities, and skills required for this role include formal training or certification in software engineering concepts with a minimum of 2 years of applied experience, experience with large datasets and predictive models, developing and maintaining code in a corporate environment using modern programming languages and database querying languages, proficiency in programming languages like Python, TensorFlow, PyTorch, PySpark, numpy, pandas, SQL, and familiarity with cloud services such as AWS/Azure. You should have a strong ability to analyze and derive insights from data, experience across the Software Development Life Cycle, exposure to agile methodologies, and emerging knowledge of software applications and technical processes within a technical discipline. Preferred qualifications include understanding of SDLC cycles for data platforms, major upgrade releases, patches, bug/hot fixes, and associated documentations.,

Job Description We are looking for a Python Developer with 12 years of hands-on experience who is passionate about clean code, problem-solving, and building scalable systems. Knowledge of Artificial Intelligence (AI) or Machine Learning (ML) is a plus. Key Responsibilities Develop, test, and maintain scalable Python applications Write reusable and efficient code Integrate user-facing elements with server-side logic Work closely with frontend developers, data scientists, and product teams Troubleshoot and debug applications Participate in code reviews and contribute to team knowledge-sharing Skills Required Strong proficiency in Python Experience with web frameworks such as FastAPI , Django or Flask Good understanding of REST APIs and database systems (SQL/NoSQL) Familiarity with version control (Git) Strong debugging and problem-solving skills Basic knowledge of AI/ML concepts is a plus Excellent communication and team collaboration skills Preferred Qualifications Bachelors degree in Computer Science, Engineering, or a related field Exposure to cloud platforms like AWS or Azure is an advantage Knowledge of libraries like NumPy, Pandas, or TensorFlow is desirable (ref:hirist.tech)

About NerdAppLabs Founded in 2012, nerdAppLabs Software Solutions Pvt. Ltd. has been a trusted partner for numerous companies, assisting in the development and support of products across various domains. Our work with platforms like SugarCRM, Fledge, FogLAMP, MyMap, and OptTown has enabled organizations to succeed in their respective industries. At nerdAppLabs, we are proud to be at the forefront of the Commercial Open Source Industrial IoT (IIoT), Edge AI/ML, GenAI/LLM space, contributing to the creation of a leading platform for Industrial Data Pipelines, Insights, and Actions. Join us in shaping the future! With cutting-edge technology, an amazing team, and a bold mission, there's never been a better time to get involved. The IoT + AI/ML space is dynamic, full of innovation, and we're excited about the opportunities ahead. We are looking for passionate individuals who are excited by the fast-growing fields of IIoT, AI, and Edge MLOps. As a company, we focus on fostering a supportive and positive culture driven by motivated team players. We celebrate diversity in people, ideas, and backgrounds, contributing to a shared sense of community. At nerdAppLabs, we believe that the future belongs to those who think, build, and deliver innovative solutions. We are an engineering partner to Dianomic Systems, helping to build open-source solutions under the Linux Foundation and commercial IIoT products for IT/OT integration with intelligence. Learn More Explore our products at Dianomic Products. Visit our website at nerdAppLabs for more information about our past projects and clients, including references to our work on Fledge. The open-source project code and documentation are available to the public. Our Technology Stack Languages & Frameworks : C++, Golang, Python, Angular Databases : SQLite, Postgres Operating Systems : Linux DevOps & Cloud : AWS, GCP, Azure, AVEVA AI/ML Tools & Frameworks : TensorFlow, Scikit-learn, Keras, Langfuse etc. Join us and be part of a team driving innovation in IIoT, Machine Learning, AI, and Edge Computing! Role Overview We're looking for a sharp, forward-thinking Angular Developer who excels at transforming complex backend logic and REST APIs into clean, usable, and visual user interfaces. This role focuses on data-driven UI/UX, where design starts with system behavior - not just Figma files. You'll help build modern, modular applications that visualize data flows, enable user interactions with pipelines, and support real-time system feedback. Think control panels, dashboards, and visual builders - all grounded in architecture, data, and storytelling. If you're familiar with visual programming (like Rete.js or Node-RED), Docker/AWS deployments, and micro frontend/plugin architectures, you'll fit right in. What You'll Do Build Angular components that visualize complex backend pipelines and workflows Deep focus on UI/UX design, turning architectural details and API specs into engaging, real-time interfaces Browser Dev Tools knowledge for debugging Angular applications effectively Experience in applying design patterns in Angular (e.g., Component-based, Observer, Singleton, Factory, etc.) Implement data visualization patterns using JSON payloads and system state Write Cypress or Playwright E2E tests for interactive interfaces Use Docker and deploy apps on NGINX, Apache, or cloud VM instances (e.g., AWS EC2) Contribute to modular architecture patterns (e.g., plugin-based or micro frontends) Work closely with system architects, backend devs Required Skills 3+ years Angular (v10+) with advanced TypeScript and RxJS knowledge Strong grasp of HTML5, CSS3, and responsive web design. Excellent grasp of REST API integration, handling JSON, and data binding Experience working directly from system designs, API contracts, or flow specs Strong UI/UX focus - able to build without relying on pixel-perfect mockups Comfortable with Bulma, Bootstrap, or CSS utility frameworks Solid Git skills (branching, pull requests, conflict resolution) Familiarity with NGINX/Apache for frontend deployment Experience writing automated UI tests with Cypress or Playwright Comfortable using Docker and working with cloud VMs (AWS EC2 or similar) Additional Skills To Consider Familiarity with SCSS (Sassy CSS) and its advanced features like variables, mixins, and nesting. Experience in building dashboards, admin panels, or analytics UIs. Knowledge of graph libraries (e.g., Chart.js, Plotly.js). Solid understanding of UI/UX principles, color theory, typography, and design systems. Proficiency in tools like Figma or Excalidraw for wireframing and prototyping. Strongly Preferred Experience with visual programming / flow-based UIs like : Rete.js Node-RED FlowFuse Understanding of micro frontend patterns and plugin-based architecture Prior work in IoT, data pipelines, or Centralised management systems for Edge devices Familiarity with event-driven UIs, system state management (NgRx, etc.) Experience with JSON fixtures/stubs for API and Knowledge of Swagger/OpenAPI tools and integrating mock APIs. What You'll Get Ownership over rich, technical, visual frontends that drive real-world workflows The opportunity to shape interface logic directly from architecture and APIs A modern, forward-looking tech stack with flexibility and autonomy A team culture that values engineering insight, creativity, and impact (ref:hirist.tech)

Do you have a passion for pushing the boundaries of innovation Are you excited about AI's potential to improve the human experience Then come join the ride! Cerence ai is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth. We are seeking a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer to join our dynamic team. The ideal candidate will have a robust background in developing and implementing ASR models specifically for automotive voice assistants. The person should be well-versed in the latest advancements in speech recognition technology, including generative AI, large language models (LLMs), and next-generation ASR frameworks. Your Impact: - Leverage your expertise to effectively train, fine-tune, and optimize Large Language Models (LLMs) to achieve optimal accuracy, naturalness, efficiency, and scalability. - Collaborate with cross-functional teams to seamlessly integrate LLM-based features and functionalities. - Design and implement software components and modules to integrate LLM capabilities into Cerence's speech recognition and natural language understanding systems. - Conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world scenarios. - Stay up-to-date with the latest advancements, trends, and research in AI and natural language processing (NLP) technologies to enhance the overall performance of our systems continually. What you bring: - Demonstrated expertise in creating Natural Language Processing (NLP) solutions using Deep Learning techniques, with a focus on integrating Large Language Models. - An advanced degree in computer science, computational linguistics, or a related field. - Highly proficient in Python and Deep Learning frameworks such as Tensorflow or PyTorch. - Experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments. - Excellent problem-solving skills, attention to detail, analytical thinking, and a collaborative mindset to work effectively within our fast-paced and innovative environment. What We Offer: - Annual bonus opportunity - Insurance coverage - Paid time off - Paid holidays - Equity-based awards for some positions and levels - Remote and/or hybrid work available depending on position. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence's passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: - Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following security procedures to report any suspicious activity. - Having respect for corporate security procedures to allow those procedures to be effective. - Adhering to the company's compliance and regulations. - Encouraging to follow a zero tolerance for workplace violence. - Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information security through internal training programs.,

Position Overview We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives. Key Responsibilities Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals. Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively. Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis. Mentor and guide team members, fostering a collaborative and innovative work environment. Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications Proven experience in managing AI projects and teams. Strong knowledge of deep learning architectures such as CNNs and Transformers. Prior experience in the medical image analysis field is preferred. Proficiency in programming languages including Python, C, and C++. Experience in people management and team leadership. Preferred Skills Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills and the ability to work collaboratively across teams. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred. (ref:hirist.tech)

Qualcomm India Private Limited is seeking a candidate to join their Multimedia Audio Systems Group as a Voice AI Engineer. As part of the team, you will be responsible for prototyping and productizing Voice AI Models for tasks such as Automatic Speech Recognition (ASR), Text-to-Speech (TTS), NLP, Multilingual Translation, Summarization, Language modeling, and other Speech/text generation tasks. You will work closely with a team of engineers to develop, train, and optimize Voice AI models for efficient offload to NPU, GPU, and CPU. Additionally, you will conduct model evaluation studies, competitive analysis, and collaborate with other R&D and Systems teams for system integration, use case validation, efficient offload to HW accelerators, and commercialization support. The ideal candidate should have strong programming skills in C/C++ and Python, along with experience in ML inference optimizations. Proficiency in designing, implementing, and training DL models using high-level languages/frameworks such as PyTorch, TensorFlow, and ONNX is required. Knowledge of ML architectures and operators like Transformers, LSTM, GRUs, and familiarity with recent trends in machine learning and traditional statistical modeling/feature extraction techniques are essential. Experience in Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications, model quantization, compression techniques, software development on embedded platforms, software design patterns, multi-threaded programming, computer architecture, operating systems, data structures, algorithms, fixed-point coding, and AI HW accelerators (NPU or GPU) is a plus. Candidates should hold a Bachelor's/Masters/PhD degree in Engineering, Electronics and Communication, Computer Science, or related field, along with 3+ years of experience in Audio Systems engineering, Audio Signal Processing modules, ML Model development, or related work. Minimum qualifications include a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Systems Engineering or related work experience, or a Master's degree with 1+ year of experience, or a PhD in a related field. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Individuals seeking accommodation during the application/hiring process can contact Qualcomm for support. The company expects its employees to adhere to all applicable policies and procedures, including security requirements regarding protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. For more information about this role, please contact Qualcomm Careers.,

As a Computer Vision Engineer at wTVision in Noida, India, you will be an integral part of our development team, focusing on designing and implementing cutting-edge computer vision algorithms and systems. Your role will involve optimizing machine learning algorithms, conducting spatial and temporal analysis of object movements, developing real-time processing algorithms for Vision-AI perception metadata, and collaborating with the product team to define new features and functionalities. Your responsibilities will include analyzing and enhancing the end-to-end accuracy of the computer vision pipeline, staying abreast of emerging technologies, working on scalable software solutions with the software development team, and deploying models on edge devices like NVIDIA Jetson. You will be expected to have a strong academic background in Computer Science or related fields, proficiency in programming languages such as Python and C++, experience in image and video processing, and excellent communication and collaboration skills. Ideal candidates should have hands-on expertise with PyTorch, TensorRT, CuDNN, and Deep Learning frameworks like TensorFlow and Keras. A solid understanding of object-oriented programming, parallel computing, and concepts like Linear Algebra and 3D Geometry is required. Additionally, experience with NVIDIA Deep Stream, Jetson, and CUDA programming, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization technologies, and contributions to the computer vision community are considered advantageous. If you are self-motivated, possess strong problem-solving skills, and can deliver high-quality work while handling multiple tasks, we encourage you to apply. A passion for sports and technology will be a plus in this dynamic and innovative work environment.,

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. 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 Job Description & Summary – Associate – GenAI – Mumbai Role : Associate Exp : 3—5 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Mandatory Skill Sets GenAI Preferred Skill Sets GenAI Years Of Experience Required 3—5 Years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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

As an AI Expert with a minimum of 10 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams. Your primary responsibility will be to provide guidance and expertise in the development and implementation of AI solutions. You will work closely with cross-functional teams to ensure successful integration of AI technologies into our products and services. Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning. Key Responsibilities: - Development Governance: Guide internal and external developers and help to remove technical dependencies and impediments during the product development. - Support Product Owner from a technical perspective. - Support in technical planning of the product. - Define enablers for the product backlog. - Consult AI Architect for questions regarding technical requirements. - Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process. - Provide technical expertise and guidance to development teams in the implementation of AI solutions. - Analyze and understand technical requirements and propose AI-based solutions to address complex problems. - Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives. - Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process. - Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization. - Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews. - Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques. - Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization. Qualifications, Experience & Skills: Mandatory skills, competencies & certifications: - Bachelor's or master's degree in Computer Science, Engineering, or a related field. - Minimum of 5 years of experience working in the field of AI, with a focus on solving technical challenges and implementing AI solutions. - Strong knowledge and understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision. - Deep understanding of AI design patterns as well as their immediate implementation. - Deep technical understanding of data processing for consumption/delivery by AI microservices. - Established knowledge of modern software development and microservice frameworks. - Deep understanding of the relevant technology landscape for AI & BI products. - Proficiency in programming languages such as Python, R, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch). - In-depth understanding of Agile methodologies, especially Scaled Agile Framework (SAFe), and experience with PI planning and related activities. - Excellent problem-solving and analytical skills, with the ability to think creatively and propose innovative AI-based solutions. - Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. - Proven track record of successfully delivering AI projects and overcoming technical challenges in complex environments. Preferred skills, competencies & certifications: - Very high proficiency in Python. - Very high proficiency in the most common Python libraries for data science and machine learning: Pandas, Numpy, Scikit-Learn, SciPy, Statsmodels, Keras, TensorFlow, PyTorch, Matplotlib. - High proficiency in dependency management via Pip and Conda. - High proficiency in code versioning via Git. - High proficiency with Jupyter notebooks. - Very good knowledge of MLFlow, both operational and deployment strategies/architectures on cloud and on-premise. - Very good knowledge of Spark (pyspark), Kafka, Hadoop, and data formats for Big Data. - Good knowledge of Flask for the development of microservices. - Good knowledge of containerization via Docker. - Good knowledge of Openshift. - Optional: data visualization tools (Power BI, Tableau). Cloud Experience: - Azure Machine Learning. - Azure Language Service. - Azure OpenAI Service. - Azure Data Lake. - Azure Kubernetes Service. - Databricks.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

As an Artificial Intelligence Engineer at CircoLife, you will play a crucial role in designing and implementing AI-driven solutions to elevate the performance, efficiency, and user experience of our IoT-enabled smart air conditioners. Your primary responsibility will be to collaborate with cross-functional teams, including hardware engineers, IoT developers, and data scientists, to develop predictive models, optimize sensor data processing, and create intelligent control algorithms that ensure smart climate management for our users. Your key responsibilities will include developing AI models that predict system failures, optimize energy consumption, and adapt to user behavior. You will analyze real-time and historical sensor data to derive valuable insights, enhance the efficiency of air conditioning systems, and design predictive maintenance models for forecasting maintenance needs. Collaborating closely with the IoT team, you will process sensor data in real-time and develop smart control algorithms that adjust the AC's operation based on environmental factors, user preferences, and energy-saving requirements. Moreover, you will work hand in hand with hardware, software, and firmware engineers to seamlessly integrate AI models with the product's IoT infrastructure. It will also be your responsibility to research new AI technologies continuously, enhance the smart AC systems, and improve overall efficiency and user satisfaction. Customizing AI solutions based on customer feedback and usage patterns to deliver personalized experiences will also be a crucial aspect of your role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. Proven experience in developing AI and machine learning solutions, particularly for IoT or sensor-based systems, is essential. Proficiency in Python, TensorFlow, PyTorch, or other AI/ML frameworks, along with experience in working with large datasets, including time-series and sensor data, is required. A strong understanding of IoT devices, embedded systems, and edge computing, as well as familiarity with cloud platforms like AWS, Google Cloud, or Azure for AI/ML deployment, is also necessary. Experience in predictive analytics and model optimization for real-time systems, excellent problem-solving skills, and the ability to thrive in a collaborative, fast-paced environment are key attributes we are looking for in potential candidates. Additionally, a solid understanding of AI in embedded systems and resource-constrained environments is highly desirable.,

The company is a global technology consulting and digital solutions provider with a team of over 84,000 professionals in more than 30 countries. They work with 700+ clients to drive innovation and competitive differentiation through digital technologies. As a Fullstack Developer specializing in generative AI systems, your responsibilities will include developing and implementing end-to-end solutions, collaborating with AI developers and data scientists to meet project requirements, and managing frontend website architecture and user interactions. You will also be involved in testing, troubleshooting, and enhancing the performance of fullstack applications. To excel in this role, you should have a degree in Computer Science, AI, Machine Learning, or a related field, along with proven experience in fullstack development and a strong understanding of generative AI technologies. Proficiency in programming languages such as Python, Fast API, Flask, JavaScript, HTML, and CSS is essential. Familiarity with AI and machine learning frameworks like TensorFlow, PyTorch, or Keras, as well as frontend and backend technologies like React, Angular, Vue.js, Node.js, Django, and databases like MongoDB, Postgres, and MySQL, will be beneficial. Your problem-solving skills, creativity, and ability to communicate complex concepts clearly will be key assets in this role. Experience with cloud platforms like AWS, Google Cloud, or Azure, and strong teamwork abilities are also desirable qualities. This is a full-time position based in Hyderabad, Hitech City, with a work mode of hybrid. The ideal candidate should have 3 to 5 years of work experience and be available to start with a notice period of 0 to 30 days. Key Skills: Data Scientist, Gen AI, Python, Fast API If you meet the requirements and are excited about the opportunity to work on cutting-edge generative AI projects, we look forward to receiving your application.,

As a Senior Data Scientist (Gen AI Developer) with 5 to 7+ years of experience, you will be based in Hyderabad and employed full-time in a hybrid work mode, spending 4 days in the office and 1 day working from home. Your primary responsibility will be to tackle a Conversational AI challenge for our client by utilizing your expertise in Speech-to-Text and Text Generation technologies. Your role will involve developing and fine-tuning Automatic Speech Recognition (ASR) models, implementing language models for industry-specific terminology, and incorporating speaker diarization to distinguish multiple voices in a conversation. Additionally, you will build conversation summarization models, apply Named Entity Recognition (NER), and use Large Language Models (LLMs) for deep conversation analysis and smart recommendations. You will also design Retrieval-Augmented Generation (RAG) pipelines leveraging external knowledge sources for enhanced performance. Furthermore, you will be tasked with creating sentiment and intent classification systems, developing predictive models for next-best-action suggestions based on historical call data and engagement, and deploying AI models on cloud platforms like AWS, Azure, or GCP. Optimizing inference and establishing MLOps pipelines for continual learning and performance enhancement will also be part of your responsibilities. To excel in this role, you must possess proven expertise in ASR, NLP, and Conversational AI systems, along with experience in tools such as Whisper, DeepSpeech, Kaldi, AWS Transcribe, and Google STT. Proficiency in programming languages like Python, PyTorch, TensorFlow, and familiarity with RAG, LangChain, and LLM fine-tuning is essential. Hands-on experience with vector databases and deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask will be beneficial. Apart from technical skills, you should have strong business acumen to translate AI insights into impact, be a fast-paced problem-solver with innovative thinking abilities, and possess excellent collaboration and communication skills for effective teamwork across functions. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP projects, knowledge of multimodal AI, prompt engineering, and exposure to Reinforcement Learning (RLHF) techniques for conversational models. Join us to work on impactful real-world projects in Conversational AI and Gen AI, collaborate with innovative teams and industry experts, leverage cutting-edge tools and cloud platforms, and enjoy a hybrid work environment that promotes flexibility and balance. Your ideas will be valued in our forward-thinking, AI-first culture. To apply for this exciting opportunity, please share your updated resume at resumes@empglobal.ae or apply directly through the platform. Kindly note that while we appreciate all applications, only shortlisted candidates will be contacted. Thank you for your understanding!,

As the Lead Data Science Expert (ML/AI/Data Science) at Egnify, you will play a crucial role in uncovering valuable insights from large volumes of data sourced from various internal and external outlets. Your expertise will be instrumental in making informed decisions that contribute to the enhancement of our products and services. Your key responsibilities will include: - Demonstrating a comprehensive understanding of the business challenges at hand. - Driving data analysis and developing models that directly impact our operational efficiency. - Collaborating with professionals from diverse scientific, engineering, and business backgrounds. - Partnering with engineers to implement and monitor the performance of data-driven recommendations, proofs-of-concept, and models. - Employing machine learning techniques to select features, optimize classifiers, and build predictive systems of high quality. - Conducting data mining using cutting-edge methodologies. - Extracting insights from authentic and publicly available sources to enrich data science initiatives and address data-related challenges. - Processing, cleansing, and validating data integrity for analytical purposes. - Performing ad-hoc analyses and presenting findings in a clear and concise manner. - Developing automated anomaly detection systems and continuously evaluating their efficacy. Qualifications: - B.Tech / M.Tech / PhD in Computer Science from prestigious institutions such as IITs or IISc, with a preference for leading engineering schools. - A minimum of 6 years of overall experience, including 2-3 years of demonstrable expertise in ML/AI/Data Sciences. - Proficiency in Data and Web Data Analytics. - Experience in utilizing machine vision, data mining, or machine learning to address real-world challenges with extensive image and/or video datasets. - Proficient in Python (e.g., pandas, numpy, scikit) or equivalent scripting languages. - Familiarity with R, Matlab, or other statistical tools. - Hands-on experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc. - Strong grasp of statistics, algebra, probability, and mathematical optimization. - Interest in leveraging scientific approaches to tackle educational issues on a large scale. - Excellent communication and collaboration skills to engage effectively with individuals from diverse technical backgrounds. - Possession of patents and/or technical publications is advantageous. - Prior experience in the Ed-Tech sector is desirable. In conclusion, at Egnify, we value a culture that fosters organizational success and individual satisfaction. Upholding principles such as thinking big, solving challenging problems, focusing on experiences, promoting accountability, nurturing talent, embracing failure as a means of growth, and ensuring an enjoyable work environment are key aspects of our ethos.,