8841 Pytorch Jobs - Page 18

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.,

You are invited to join our team as a Software Engineer specializing in AI/ML tools. With a minimum of 3 to 6 years of experience, you will play a crucial role in transforming natural language data into valuable features using NLP techniques to support classification algorithms. Your responsibilities will include statistical analysis, machine learning methods, and text representation techniques, ensuring the effective design of software architecture. As an ideal candidate, you will have proven experience as an NLP Engineer or in a similar role, along with a deep understanding of NLP techniques for text representation, Information Extraction, semantic extraction techniques, data structures, and modeling. Proficiency in Generative AI, LLM Model, LangChain, and text representation techniques like n-grams, bag of words, sentiment analysis, word embedding, as well as knowledge of deep learning algorithms such as LSTM/GRU/CNN will be essential. You should also have experience with machine learning frameworks like Keras or PyTorch, and libraries such as scikit-learn. The ability to write robust and testable code, coupled with strong analytical and problem-solving skills, will be key to your success in this role. A degree in Computer Science, Mathematics, Computational Linguistics, or a related field is required. If you possess the relevant qualifications and skills in AI/ML, NLP, LLM Model, LangChain, n-grams, LSTM/GRU/CNN, and Keras/PyTorch, we welcome your application. We are an equal opportunity employer and encourage candidates who are on a career break but are passionate about restarting their professional journey to apply. Join us and be a part of a dynamic team that values innovation and excellence.,

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.,

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.,

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,

You should have 5 to 8 years of good working experience in NLP. Your experience should include working with Text Classification, NER models for fine-tuning and zeroshot applications. Proficiency in Huggingface and Pytorch is required. Additionally, experience with Document Processing is expected. In Python / AI Engineering, you should be proficient in building re-usable and scalable data pipelines using Python. Experience with NoSQL databases, data analysis, ML/DL frameworks, web API frameworks, and unit testing frameworks is necessary. Experience with Microservices and Cloud technologies is essential, including Docker, ECS / EKS. Good experience with at least one cloud service provider, with AWS being preferable. General requirements for the role include the ability to handle large-scale unstructured data and a willingness to learn new frameworks to stay updated with the latest NLP developments. About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 30,000 professionals, you can expect exciting projects, opportunities to work with state-of-the-art technologies, and support for your growth throughout your career with Virtusa. At Virtusa, collaboration and a team-oriented environment are highly valued. We provide a dynamic space for great minds to nurture new ideas and strive for excellence.,

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.,

As a Full Stack Developer specializing in AI projects, you will collaborate with engineers and product managers to understand requirements and translate them into technical specifications. Your responsibilities will include designing and implementing front-end interfaces using modern web technologies such as React and Angular, as well as building and maintaining back-end services and APIs to support AI applications using languages like Node.js, Python, and Java. Additionally, you will integrate machine learning models into production environments, ensuring their performance and reliability. You will optimize applications for speed and scalability, implement security and data protection measures, and conduct code reviews, write unit tests, and perform integration testing. Staying updated with the latest advancements in AI, machine learning, and web development technologies will be crucial, as well as troubleshooting and debugging issues across the stack. To excel in this role, you should have proven experience as a Full Stack Developer with a strong portfolio of AI projects. Proficiency in front-end technologies like HTML, CSS, JavaScript, and frameworks such as React and Angular is required. You should also be proficient in back-end technologies such as Python, Node.js, JavaScript, FastAPI, or similar, and have experience with machine learning frameworks and libraries like PyTorch, Scikit-learn, Redis, and Langchain. Familiarity with cloud platforms and services (AWS, GCP, Azure), a strong understanding of database technologies (PSQL and Vector), and experience with version control systems like Git are essential. Excellent problem-solving skills, attention to detail, and strong communication skills for a collaborative environment are also key. Experience with AI/ML model deployment and monitoring in production environments, knowledge of DevOps practices and tools like Docker and Kubernetes, and an understanding of natural language processing (NLP) and computer vision will be advantageous. Ideally, you should have experience with agile development methodologies, contributions to open-source projects, or publications in AI-related fields. This is a full-time position requiring a Bachelor's degree, with at least 1 year of experience in PyTorch, Scikit-learn, Redis, Langchain, Python, Node.js, JavaScript, FastAPI, or similar. Fluency in English is required for this in-person role located in Pune, Maharashtra. The expected start date for this opportunity is 29/04/2025. Benefits include paid sick time, paid time off, and a day shift schedule. Suitable candidates must be able to reliably commute to Pune, Maharashtra, or plan to relocate before starting work.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. With LooprIQ Inspect, customers can easily automate the detection of defects in products, verify assembly of parts, and perform various other tasks. We have developed a state-of-the-art micro-service architecture that utilizes the latest computer vision AI models in the backend to analyze real-time video data. The inference results are stored in a scalable middleware and presented through a user-friendly front-end interface optimized for operators using the app in a factory setting. The data from the app can be seamlessly integrated with the customer's ERP system for deriving valuable analytics. We are currently looking for an experienced and motivated ML Engineer to join our team in a technical lead capacity. In this role, you will be responsible for leading the development and training of computer vision models that power LooprIQ Inspect, effectively addressing complex issues faced by customers in the manufacturing and aerospace industries. Additionally, you will serve as a technical lead, providing guidance and support to other members of the ML team. As a part of our team, you will have the opportunity to: - Design, train, debug, fine-tune, and deploy deep learning models for object detection, image segmentation, and image classification tasks. - Champion dataset management and exploration using cutting-edge data platforms like Encord. - Provide technical guidance and take ownership of deliverables within a close-knit team of ML scientists. - Collaborate with cross-functional teams to understand project requirements and offer technical expertise in computer vision. - Orchestrate complex computer vision pipelines and workflows using our internal Azure & ML Flow services, ensuring reproducibility and scalability of experiments and models. - Integrate computer vision models into production applications using Python libraries and other relevant technologies. - Optimize computer vision models for performance, efficiency, and accuracy across different hardware platforms. - Stay informed about the latest advancements in computer vision and machine learning research to enhance the company's capabilities. Minimum Requirements: - Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or related fields. - 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio. Experience in manufacturing industries is a plus. - 2+ years of proven technical leadership experience. - Proficiency in Python, familiarity with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and Linux/bash proficiency. - Experience in building, deploying, and maintaining production ML systems. - Familiarity with cloud platforms, especially Azure, for deploying and scaling computer vision models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. - Strong problem-solving skills, independence, innovation, and effective communication skills. Joining Loopr AI presents an exciting opportunity to work alongside a dynamic team at the forefront of computer vision technology. You will be involved in cutting-edge projects, collaborate with industry experts, and contribute significantly to solving real-world challenges using computer vision techniques.,

You will be responsible for leading the development and implementation of ML models and algorithms for Computer Vision. This includes optimizing deep learning models for tasks such as object detection and image segmentation. Your role will involve preprocessing data and creating efficient data pipelines for high-quality datasets. Additionally, you will integrate and enhance computer vision techniques and architectures to improve model performance. Collaboration with cross-functional teams will be key to integrating solutions into applications. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science or a related field. You should possess at least 2 years of experience in Machine Learning with a focus on Computer Vision. Proficiency in Python, TensorFlow, PyTorch, and OpenCV is required. A strong understanding of computer vision algorithms and deep learning is essential. Any experience with image processing and cloud platforms would be considered a plus. This is a full-time position based in Indore, MP. As part of the benefits, you will receive internet reimbursement. The work schedule is during the day shift. As part of the application process, you will be asked the following questions: 1. What is your current CTC 2. What is your expected CTC 3. Are you comfortable relocating to Indore, MP 4. How many years of experience do you have using computer vision technology ,

As an experienced professional with over 5 years of expertise in AI, Cloud Architecture (with a strong emphasis on Azure), and Global SaaS/AI/AgTech Startups, you have the opportunity to shape the future of AI-Driven Agriculture in a high-impact, senior role based in Gurugram, IN. In this role, you will be responsible for architecting scalable AI, IoT, and cloud solutions that contribute to sustainable farming practices. Working closely with the Founder & CEO, CTO, and AI/IoT teams, you will play a pivotal role in defining and executing a global-ready Azure AI-Cloud architecture. Your expertise will be instrumental in expanding the global market presence of AI-driven vertical farms & Agritech platforms into markets such as SEA, UAE, and the US. Your primary responsibilities will include architecting and scaling INNOFarms.AI's AI-powered cloud platform on Azure, optimizing AI-driven data pipelines for real-time farm monitoring, decision-making, and automation, integrating IoT, Robotics, and AI models into a scalable Cloud & Edge Computing framework, and enhancing cybersecurity, compliance, and data privacy measures for global markets. Additionally, you will provide strategic technical direction, guide engineering teams in India(Gurugram) and HK, and collaborate closely with the Founder & CEO/VCs & business teams to align tech strategy with fundraising & global expansion efforts. To excel in this role, you should bring to the table a minimum of 7 years of experience in AI, Cloud, SaaS, or IoT product scaling, deep expertise in Azure technologies such as Deep Azure IoT hub, AI, Event Hubs, CosmosDB, and Serverless Functions, hands-on experience in AI model deployment using tools like ML Ops, TensorFlow, PyTorch, and AutoML, as well as prior experience in scaling AI/SaaS startups globally, particularly in the Middle East, SEA, and US markets. Leadership experience in AI-AgTech or AI Venture would be advantageous, along with a strong ability to mentor remote, distributed engineering teams. Experience in AgriTech, IoT, or Smart Automation Platforms, as well as an understanding of regulatory, security, and compliance requirements for AI-based cloud systems, would be considered a plus for this role. If you are ready to take on this exciting opportunity and contribute to the advancement of AI-driven agriculture, we encourage you to apply by sending your resume to Careers@INNOFarms.ai.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

The Senior AI Engineer - Agentic AI position at JMD Megapolis, Gurugram requires a minimum of 5+ years of experience in Machine Learning engineering, Data Science, or similar roles focusing on applied data science and entity resolution. You will be expected to have a strong background in machine learning, data mining, and statistical analysis for model development, validation, implementation, and product integration. Proficiency in programming languages like Python or Scala, along with experience in working with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn is essential. Additionally, experience with large-scale data processing frameworks like Spark, proficiency in SQL and database concepts, as well as a solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques are required. As a Senior AI Engineer, you should possess excellent problem-solving skills and the ability to devise creative solutions to complex data challenges. Strong communication skills are crucial for effective collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science are desirable traits for this role. The ideal candidate for this position would hold a Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field. They should have 5-10 years of industry experience in developing AI solutions, including machine learning and deep learning models. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are necessary. Furthermore, a solid understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience in working with large datasets to implement scalable AI solutions are required. Proficiency in data visualization and reporting tools, knowledge of cloud platforms like AWS, Azure, Google Cloud for AI deployment, familiarity with software development practices, and version control systems are all valued skills. Problem-solving abilities, creative thinking to overcome challenges, strong communication, and teamwork skills to collaborate effectively with cross-functional teams are essential for success in this role.,