7848 Tensorflow Jobs - Page 6

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. Leveraging AI technology, we discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution. With over 14 years of experience in the industry, we manage 5 million mobile ad requests per second from over 10 billion devices, driving performance for publishers and brands. Headquartered in San Francisco, CA, we have a global presence across the United States, EMEA, and APAC. We are looking for a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will play a key role in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). Collaborating closely with senior research scientists and other team members, you will contribute to impactful data science projects and innovative solutions. This position is based in our Bengaluru, India office and requires on-site presence five days a week. Join us in our mission to push the boundaries of AI and mobile advertising in a collaborative environment that nurtures creativity and growth. We offer a competitive salary, comprehensive benefits, and ample opportunities for career advancement. **Role & Responsibilities:** - Develop and deploy machine learning models at scale to tackle challenges in programmatic advertising like user response prediction, bid landscape forecasting, and fraud detection. - Conduct exploratory data analysis and apply statistical techniques to derive insights and support decision-making. - Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation. - Collaborate with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Assist in establishing best practices for model deployment, monitoring, and performance assessment. - Stay abreast of recent developments in machine learning and data science, applying relevant techniques to solve complex problems and enhance our platform. - Contribute to exploring and adopting new methodologies and technologies to advance our data science capabilities. **Skills & Experience:** - Minimum of six years in data science with practical experience in machine learning, statistical analysis, and data modeling. - Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. Master's degree is a plus. - Additional proficiency in programming languages like Rust, C++, Java, and Scala, as well as large-scale data processing systems is preferred. - Familiarity with RTB, auction theory, and high-throughput low-latency environments is advantageous. - Strong proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and experience with TensorFlow/PyTorch and Scikit-Learn libraries. - Solid understanding of probability, statistics, and data analysis. - Ability to work effectively within a team environment, with excellent communication skills to articulate complex concepts to diverse stakeholders.,

Are you a passionate fresher eager to kickstart your career in Python Development BOL7 Technologies is seeking enthusiastic individuals with a strong foundation in Python, Django, and a curiosity for AI-based technologies. Join our tech team to gain hands-on experience in constructing scalable web applications and AI-driven solutions under the guidance of seasoned developers. Your role will involve developing and maintaining backend applications using Python and Django, as well as integrating user-facing elements with server-side logic. Collaborate with frontend developers to merge APIs and data-driven components while aiding in the creation of AI-based modules for automation, chatbot development, or machine learning-based features. Participate in testing, debugging, and enhancing application performance while closely working with the team to comprehend requirements and deliver quality code. To qualify for this role, you should possess a B.Tech / BCA / MCA / M.Tech or relevant technical qualification with a solid grasp of Python programming fundamentals and practical exposure to the Django framework. An understanding of AI concepts such as machine learning, NLP, chatbot frameworks, OpenAI technologies, and LLM like GPT is beneficial. Familiarity with REST APIs, relational databases like MySQL/PostgreSQL, and strong problem-solving skills are essential. Additionally, willingness to learn new technologies swiftly and residing in or around Noida for daily commute is required. Desired skills include understanding libraries like TensorFlow, OpenCV, scikit-learn, experience with version control tools like Git, and basic knowledge of frontend technologies like HTML, CSS, JavaScript. Join BOL7 for the opportunity to work on live projects from day one, exposure to modern development tools and AI-based technologies, a fast-paced and collaborative environment, continuous learning, mentorship, and career growth prospects in one of Noida's most dynamic tech teams. If you are intrigued by this exciting opportunity, click the "Apply" option above to submit your application directly.,

As a Senior Product Manager, you will play a pivotal role in defining the strategic direction of the product offerings, collaborating with cross-functional teams, and ensuring the successful execution of the product vision. With 8-10 years of experience in the Product domain developing AI-based enterprise solutions, you will leverage AI/ML technologies to enhance product capabilities and deliver innovative solutions in a fast-paced and dynamic environment. Your key roles and responsibilities will include leading the development and execution of AI/ML products from concept to launch, defining the product roadmap, strategy, and vision based on market trends, customer needs, and business goals. You will collaborate with cross-functional teams including engineering, design, data science, and marketing to drive product development, conduct market research and competitive analysis to identify new opportunities, and enhance existing products. Managing the product lifecycle, including planning, prioritization, and feature definition, you will measure and evaluate product performances, user behavior, and Customer Satisfaction using qualitative and quantitative methods. Communication of the product vision and priorities to stakeholders, team members, and executives will be essential. Additionally, driving product performance analysis and making data-driven decisions to optimize product features and user experience are crucial aspects of the role. Your interaction with customers to gather feedback, understand requirements, and address product issues will be important. Staying updated on AI industry trends, technologies, and best practices to drive innovation and maintain competitive advantage is a key requirement. Providing leadership and mentorship to junior product team members will also be part of your responsibilities. A Product Management Certification (e.g., Pragmatic Marketing, Certified Scrum Product Owner) is required for this role. Strong behavioral skills such as excellent leadership and communication, problem-solving, decision-making abilities, adaptability, creativity, and a passion for innovation are essential. Experience with technical tools and frameworks like Python, TensorFlow, PyTorch, OpenAI, Jupyter Notebooks, MLflow, AWS SageMaker, Google Vertex AI, or Azure ML will be advantageous. If you have proven experience in building AI/ML Products, you can email your resumes to hardik.dwivedi@adani.com.,

As the AVP-AI/ML Lead, your primary responsibility will be to develop innovative AI/ML solutions that cater to the specific business requirements and challenges faced by our clients. This will involve successfully managing project delivery, including data pre-processing, model training and evaluation, and parameter tuning, while ensuring stakeholder and customer expectations are met. You will be responsible for project blue printing, project documentation, and creating detailed project plans. It will also be crucial for you to stay updated on the latest advancements in AI/ML, particularly in the areas of NLP/NLU applications across various industries such as CPG and Finance. In this role, you will need to conceptualize, design, build, and implement solution algorithms within specified timelines. You will collaborate with clients to gather and analyze requirements, as well as develop effective analytics and text mining strategies. Working closely with digital development teams, you will integrate and optimize algorithms to create production-ready applications. Additionally, conducting applied research on diverse text analytics and machine learning projects, filing patents, and publishing papers will be part of your responsibilities. Preferred qualifications and skills for this role include expert knowledge in NLP, NLU, and various machine learning and deep learning methods. Proficiency in tools such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and NoSQL is essential. Experience in UI development for text mining insights visualization using platforms like Adobe Flex Builder, HTML5, and CSS3 is advantageous. Furthermore, familiarity with operating systems like Linux and Windows, GPU experience, and proficiency in distributed computing tools like Spark and Scala are desired. Knowledge of deep learning frameworks such as TensorFlow, Keras, Torch, and Theano will be beneficial in executing your responsibilities effectively.,

As the Subject Matter Expert for clients, you will serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their requirements and provide customized generative AI solutions. You will be responsible for leading multiple generative AI projects, ensuring on-time delivery and high-quality results by defining project deliverables, timelines, and methodologies. Additionally, you will manage and mentor a team of AI specialists, creating a collaborative and innovative work environment. Your role will involve designing and implementing advanced generative AI models like GANs, VAEs, and transformer-based models to address intricate business challenges. You will also contribute to thought leadership in generative AI, offering strategic insights to drive innovation and best practices within the organization. It is essential to stay updated on the latest developments in generative AI and machine learning, integrating state-of-the-art technologies into projects. To qualify for this position, you should hold a Master's or PhD in computer science, engineering, mathematics, or related fields from esteemed institutions. With at least 8 years of experience in AI and machine learning, focusing on generative AI, deep learning, and NLP, you must have a proven track record of successfully delivering generative AI projects. Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP) is required, along with experience in large-scale data processing and model deployment. Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar, are preferred but not mandatory. Demonstrated leadership skills, problem-solving abilities, and excellent communication and presentation skills are essential for this role. A deep understanding of industry trends and challenges in generative AI and machine learning will be advantageous.,

We are seeking a passionate and motivated Junior Python Data Scientist to join our expanding data team. This position offers an excellent opportunity for recent graduates or individuals with up to one year of experience who are enthusiastic about applying their Python and data analysis skills to real-world challenges. As a Junior Python Data Scientist, you will be involved in meaningful projects focused on data preparation, analysis, and the development of machine learning models, all under the guidance of experienced data scientists. Your responsibilities will include cleaning, transforming, and analyzing data utilizing Python, pandas, and NumPy. You will also play a key role in supporting the development and evaluation of machine learning models using tools such as scikit-learn and TensorFlow. Additionally, you will conduct statistical analyses to extract valuable insights and identify trends, as well as contribute to building data pipelines and automating data processes. Communication of findings and presentation of insights in a clear and concise manner will be an essential part of your role. Collaboration with cross-functional teams, including data engineers, product managers, and software developers, is also a key aspect of this position. The ideal candidate for this role should have at least one year of hands-on experience with Python for data analysis or machine learning. Familiarity with pandas, NumPy, scikit-learn, and TensorFlow is required. A solid understanding of core statistical concepts and basic exploratory data analysis (EDA) is essential. Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms is preferred, and exposure to advanced ML algorithms and Deep Learning is a plus. Strong problem-solving and analytical thinking skills, along with good communication and documentation abilities, are also important qualities we are looking for. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required, or currently pursuing one. Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are looking for candidates who are enthusiastic about learning and growing in the data science field.,

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hyperparameter tuning, pruning, and quantization. Additionally, you will deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker, ensuring the scalability, performance, and reliability of both applications and models. Collaboration with cross-functional teams to analyze requirements, deliver technical solutions, and staying up-to-date with the latest industry trends in AI/ML will also be key aspects of your role. Your ability to write clean, efficient code following best practices, conduct code reviews, and provide constructive feedback to peers will contribute to the success of our projects. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of professional experience as a Python Developer. Proficiency in Python, Django, Flask, and AWS services is required, along with expertise in machine learning frameworks, transformer architectures, and database technologies. Familiarity with MLOps practices, front-end technologies, and strong problem-solving skills are also desirable qualities for this position. If you are passionate about leveraging your Python development skills and AI expertise to drive innovation and deliver impactful solutions, we encourage you to apply and be a part of our innovative team at Chicmic Studios.,

You will join the Data Science team at BOLD, where you will utilize your analytical skills and business acumen to provide valuable insights to the Product and Management teams. Your primary responsibility will involve leveraging extensive user data sets to drive product development, enhance current products, and identify relationships within the data to develop new products. The Data Science department at BOLD focuses on discovering patterns and trends in datasets, creating predictive algorithms and data models, improving product quality using machine learning techniques, providing insights to other teams and top management, and utilizing data tools like Python and SQL. This team collaborates with various vertical teams such as Engineering, Portals, BI, Product, and Legal on projects that involve natural language processing and machine learning, including resume parsing, ranking, summary generation, data quality and scoring, job recommendations, and more. Your role will involve working on data science projects encompassing predictive modeling, NLP, statistical analysis, machine learning, and more. You will use the rich user data sets to conduct research, develop models, and collaborate with Development & Product teams to create data products. Additionally, you will work on developing scalable data systems using machine learning techniques to enhance user experience, experiment with different Large Language models, and improve the job seeker experience through agentic workflows. To excel in this role, you should have knowledge and experience in statistical and machine learning algorithms, proficiency in Python, experience with backend technologies like Flask/Gunicorn, and familiarity with open-source libraries such as Spacy, NLTK, Gensim, and deep-learning libraries like TensorFlow and PyTorch. You should also be a keen learner, have experience with prompt engineering and vector databases, and ideally be familiar with Langchain and/or Llamaindex. Experience with Cloud infrastructure (Azure, AWS), deploying models using tools like Jenkins, and understanding career/recruiting domain taxonomies like O*Net would be beneficial. The ideal candidate should have at least 2.5 years of experience as a Software Engineer or 4.5 years as a Senior Software Engineer. In return for your contributions, BOLD offers outstanding compensation, competitive salary, tax-friendly compensation structure, bi-annual bonus, annual appraisal, equity in company, full health benefits, flexible time away, and additional benefits like internet and home office reimbursement, catered meals, certification policy, and cab facilities. About BOLD: BOLD is a global organization dedicated to transforming work lives by helping people find jobs through digital products that empower individuals to create impressive resumes, cover letters, and CVs. We celebrate diversity and inclusion, fostering an environment where experts, learners, contributors, and creatives thrive together.,

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Title: AI/ML Associate Location : Bangalore (Hybrid) Department : Managed Services – Core Automation Team Job Overview We are seeking an experienced AI/ML Senior Associate to join our team focused on leveraging AI technologies to enhance operational efficiency in SAP managed services. The ideal candidate will have strong programming expertise in Python and hands-on experience in building AI solutions using market-leading large language models (LLMs) , as well as native cloud services (primarily AWS or Azure AI services ). Your role will center on developing intelligent solutions that automate processes, integrate AI models, and improve overall system performance within SAP environments. Key Responsibilities Design and implement AI solutions using Python and market-leading LLMs to drive automation and improve operational efficiency within SAP-managed services. Develop and integrate AI-powered applications using native AWS services (e.g., AWS Lex, AWS Lambda, Amazon Polly) or Azure AI services, focusing on process optimization and automation. Build and deploy conversational bots and AI-powered tools to support business processes in SAP environments, integrating AWS Lex, AWS Connect, or Azure Bot Services with existing systems. Leverage Python programming for building, testing, and deploying AI models, APIs, and automation workflows to enhance SAP system reliability and performance. Collaborate with cross-functional teams to integrate AI solutions with DevOps pipelines and ensure smooth deployments using CI/CD tools and cloud-native infrastructure. Design and manage serverless applications using AWS Lambda or Azure Functions to handle AI/ML workloads with scalability and high performance. Work with RESTful or GraphQL APIs to enable AI services, ensuring high standards for performance, security, and seamless integration with SAP systems. Contribute to the development of AI models, focusing on using LLMs for natural language understanding, predictive analytics, and automated decision-making. Collaborate with DevOps and integration teams to integrate AI solutions into SAP processes, ensuring end-to-end service excellence and operational success. Required Skills And Qualifications Minimum 2 years of experience in AI/ML development, focusing on Python programming and AI model development. Proven experience with Python for building AI solutions, API development, and automation. Hands-on experience with market-leading LLMs (e.g., OpenAI GPT, Google BERT, or similar) and applying these models in business process automation and optimization. Experience with AWS or Azure AI services, such as AWS Lex, AWS Lambda, Azure Cognitive Services, and Azure Bot Services (AWS expertise is preferred but Azure experience is also acceptable). Experience building and deploying conversational bots and IVR systems using AWS Lex or Azure Bot Services. Strong understanding of serverless architectures and cloud-native technologies such as AWS Lambda or Azure Functions. Experience with RESTful or GraphQL API design for seamless integration of AI models into business processes. DevOps background, with hands-on experience in CI/CD pipelines, containerization, and cloud deployment practices using AWS DevOps tools or Azure DevOps. Collaborative mindset with the ability to work cross-functionally with DevOps, integration, and automation teams to drive project success. Desired Skills And Qualifications Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the ability to develop and fine-tune AI models. Knowledge of Agile methodologies for project management and team collaboration. Strong problem-solving skills, with the ability to troubleshoot and optimize AI models and cloud integrations. Certifications in AWS AI, Azure AI, or related AI/ML technologies are a plus. Experience Requirements A minimum of 2 years of experience in AI/ML, with expertise in Python, AI model development, and cloud-native AI services (AWS or Azure). Proven ability to design and deploy AI solutions using LLMs, serverless architectures, and cloud-based AI services. Education Requirements Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Relevant AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Fundamentals) are a plus. Work Environment Collaborative and dynamic team environment with an opportunity to work on cutting-edge AI/ML projects. Hybrid working model with a base in Bangalore, offering flexibility in working from the office and remotely. Cross-functional collaboration with DevOps, automation, and integration teams.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Title: AI/ML Associate Location : Bangalore (Hybrid) Department : Managed Services – Core Automation Team Job Overview We are seeking an experienced AI/ML Senior Associate to join our team focused on leveraging AI technologies to enhance operational efficiency in SAP managed services. The ideal candidate will have strong programming expertise in Python and hands-on experience in building AI solutions using market-leading large language models (LLMs) , as well as native cloud services (primarily AWS or Azure AI services ). Your role will center on developing intelligent solutions that automate processes, integrate AI models, and improve overall system performance within SAP environments. Key Responsibilities Design and implement AI solutions using Python and market-leading LLMs to drive automation and improve operational efficiency within SAP-managed services. Develop and integrate AI-powered applications using native AWS services (e.g., AWS Lex, AWS Lambda, Amazon Polly) or Azure AI services, focusing on process optimization and automation. Build and deploy conversational bots and AI-powered tools to support business processes in SAP environments, integrating AWS Lex, AWS Connect, or Azure Bot Services with existing systems. Leverage Python programming for building, testing, and deploying AI models, APIs, and automation workflows to enhance SAP system reliability and performance. Collaborate with cross-functional teams to integrate AI solutions with DevOps pipelines and ensure smooth deployments using CI/CD tools and cloud-native infrastructure. Design and manage serverless applications using AWS Lambda or Azure Functions to handle AI/ML workloads with scalability and high performance. Work with RESTful or GraphQL APIs to enable AI services, ensuring high standards for performance, security, and seamless integration with SAP systems. Contribute to the development of AI models, focusing on using LLMs for natural language understanding, predictive analytics, and automated decision-making. Collaborate with DevOps and integration teams to integrate AI solutions into SAP processes, ensuring end-to-end service excellence and operational success. Required Skills And Qualifications Minimum 2 years of experience in AI/ML development, focusing on Python programming and AI model development. Proven experience with Python for building AI solutions, API development, and automation. Hands-on experience with market-leading LLMs (e.g., OpenAI GPT, Google BERT, or similar) and applying these models in business process automation and optimization. Experience with AWS or Azure AI services, such as AWS Lex, AWS Lambda, Azure Cognitive Services, and Azure Bot Services (AWS expertise is preferred but Azure experience is also acceptable). Experience building and deploying conversational bots and IVR systems using AWS Lex or Azure Bot Services. Strong understanding of serverless architectures and cloud-native technologies such as AWS Lambda or Azure Functions. Experience with RESTful or GraphQL API design for seamless integration of AI models into business processes. DevOps background, with hands-on experience in CI/CD pipelines, containerization, and cloud deployment practices using AWS DevOps tools or Azure DevOps. Collaborative mindset with the ability to work cross-functionally with DevOps, integration, and automation teams to drive project success. Desired Skills And Qualifications Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the ability to develop and fine-tune AI models. Knowledge of Agile methodologies for project management and team collaboration. Strong problem-solving skills, with the ability to troubleshoot and optimize AI models and cloud integrations. Certifications in AWS AI, Azure AI, or related AI/ML technologies are a plus. Experience Requirements A minimum of 2 years of experience in AI/ML, with expertise in Python, AI model development, and cloud-native AI services (AWS or Azure). Proven ability to design and deploy AI solutions using LLMs, serverless architectures, and cloud-based AI services. Education Requirements Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Relevant AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Fundamentals) are a plus. Work Environment Collaborative and dynamic team environment with an opportunity to work on cutting-edge AI/ML projects. Hybrid working model with a base in Bangalore, offering flexibility in working from the office and remotely. Cross-functional collaboration with DevOps, automation, and integration teams.

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. Were looking for experienced machine learning professionals to help us revolutionize how we manufacture Apples amazing products. Put your experience to work in this highly visible role. Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apples supply chain and manufacturing processes. As a part of this role, you would work with the team to build end-to-end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). - Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related field. Preferred Qualifications - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. - Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. - Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. - Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. - Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. - Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. - Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. - Proven experience in leading and mentoring teams is a plus. Submit CV,

As a skilled Data Scientist specializing in Generative AI, you will be responsible for designing, developing, and deploying state-of-the-art AI models to tackle real-world business challenges. Your role will involve working with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions. Your key responsibilities will include: - Designing, developing, and fine-tuning advanced Generative AI models such as LLMs, GANs, and Diffusion models. - Implementing and enhancing RAG and transformer-based architectures to enable contextual understanding and document intelligence. - Customizing and optimizing LLMs for specific domain applications. - Building, maintaining, and optimizing ML pipelines and infrastructure for model training, evaluation, and deployment. - Collaborating with engineering teams to integrate AI models into user-facing applications. - Staying updated with the latest trends and research in Generative AI, open-source frameworks, and tools. - Analyzing model outputs for quality and performance, ensuring adherence to ethical AI practices. To excel in this role, you should possess the following skills: - Strong proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, and HuggingFace Transformers. - Deep understanding of GenAI architectures such as LLMs, RAG, GANs, and Autoencoders. - Experience in fine-tuning models using techniques like LoRA, PEFT, or equivalents. - Knowledge of vector databases like FAISS, Pinecone, and embedding generation methods. - Experience in handling datasets, preprocessing, and synthetic data generation. - Solid grasp of NLP concepts, prompt engineering, and safe AI practices. - Hands-on experience in API development, model deployment, and cloud platforms such as AWS, GCP, and Azure. By leveraging your expertise in Generative AI and staying abreast of industry advancements, you will play a crucial role in developing cutting-edge solutions to address complex business problems.,

The Application Manager will be responsible for engineering, testing, and deploying complex applications into a cloud environment. You should have a proven ability in integrating various applications like MS Office, Google Chrome, Adobe Acrobat, and Accessibility tools into physical and virtual platforms. Your role will require you to work both independently and as part of a team. You must have hands-on experience in developing and implementing automation solutions, as well as familiarity with AI technologies. Strong programming skills in languages like Python, Java, or C++ are essential. Additionally, you should possess extensive experience with Group Policy Object (GPOs) and Microsoft Active Directory (AD), including user personalization such as DEM. Knowledge of Application Virtualization technologies such as Microsoft App-V and Numecent is required. Experience with AI frameworks and tools like Copilot, TensorFlow, PyTorch, or similar is a plus. Understanding machine learning algorithms and techniques is essential for this role. The ideal candidate will have excellent problem-solving skills and the ability to work effectively both independently and as part of a team. Experience with cloud platforms such as Azure would be advantageous. Preferred qualifications include experience in application engineering, testing, packaging, and deployment. Proficiency in Microsoft Azure Cloud, App-V & Numecent application virtualization, expertise in Active Directory, Scripting, and Group Policy Objects, and experience with natural language processing (NLP) and computer vision technologies are desirable. Familiarity with DevOps practices and GitLab tools for continuous integration and deployment is a plus. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Engineering, or a related field.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

As a Data Scientist focused on Manufacturing Data Solutions at PwC, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. In this role, your key responsibilities will include developing predictive models using advanced statistical and machine learning techniques, conducting time series analysis, classification, and regression to support business objectives, and utilizing Spark, Databricks, or cloud platforms like Azure/AWS for data processing. You will ensure seamless data flow from various sources into analytical models and create compelling visualizations using Tableau to convey data insights. Additionally, you will work with cross-functional teams to identify business challenges, develop data-driven solutions, and lead projects to implement innovative data science methodologies. To excel in this position, proficiency in Python, R, SQL, TensorFlow, and PyTorch is mandatory. Experience with time series analysis, predictive modeling, classification, and regression is essential, along with familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. Expertise in creating visualizations with Tableau to convey data insights is also required. While not mandatory, having an interest in exploring new data science trends and technologies, as well as experience working with cross-functional teams to develop data-driven solutions, would be beneficial for this role.,

Job Description : Principal AI Architect Employment Type : Full-Time. Relevant Experience : 10+ years Key Responsibilities AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing. Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services. Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors). Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability. Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring. Team Leadership : Provide technical leadership to data science and engineering teams. Promote best practices in AI ethics, version control, and reproducibility. Identify areas where AI can deliver business value and lead the development of proofs-of-concept (PoCs). Evaluate the feasibility, cost, and impact of new AI initiatives. Define best practices\standards for model lifecycle management (training, validation, deployment, monitoring) - Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech- specific AI tools, and drive their strategic adoption. Technical Skills And Tools ML & AI Frameworks : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases) MLOps & Deployment MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases FastAPI, gRPC, Docker, Kubernetes, Airflow FinTech-Specific Applications Credit scoring models, Fraud detection algorithms Time series forecasting, NLP for financial documents/chatbots Algorithmic trading models, AML (Anti-Money Laundering) systems Cloud & Data Platforms AWS SageMaker, Azure ML, Google Vertex AI Databricks, Snowflake, Kafka, BigQuery, Delta Lake Monitoring & Explainability SHAP, LIME, Alibi, Evidently AI, Arize AI IBM AIX 360, Fiddler AI Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus. 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries. Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization. Strong Hands-on Expertise In Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j) Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI Programming : Python (primary); Java or Scala (optional) Solid software engineering background with experience integrating ML models into scalable production systems. Excellent communication skills with the ability to influence both technical and non-technical stakeholders. (ref:hirist.tech)

The QA Engineer AI/ML will play a crucial role in evaluating and conducting manual functional, regression, and integrated testing on new or modified software programs. Your primary responsibility will be to ensure that these programs meet the specified requirements and adhere to established guidelines. By writing, revising, and validating test plans and procedures, you will contribute to the identification of defects, environmental needs, and product feature evaluations. As a QA Engineer AI/ML, you will be tasked with maintaining a comprehensive test library, executing test scenarios to ensure coverage of requirements and regression, and conducting both positive and negative testing. Your involvement in product design reviews will provide valuable insights into functional requirements, product designs, usability considerations, and testing implications. Additionally, you will be responsible for identifying, reporting, and tracking product defects, as well as addressing the need for additional product functionality in a clear and concise manner. In this role, you will also be required to prepare and review technical documentation for accuracy, completeness, and overall quality. Providing task estimations and ensuring timely delivery against specified schedules will be essential aspects of your responsibilities. Furthermore, your availability outside of standard business hours may be necessary as part of a rotational on-call schedule. To qualify for this position, you must hold a Bachelor's degree in computer science, engineering, or a related field, or possess equivalent relevant experience. You should have 2-4 years of experience in QA Manual and demonstrate a strong understanding of technology, software quality assurance standards, and practices. Your exceptional written and verbal communication skills, along with active listening abilities, will enable you to interact effectively with a diverse range of technical and non-technical personnel. A proficiency in identifying issues logically, troubleshooting, problem-solving, and predicting defects will be crucial for success in this role. You should be adept at interpreting business requirements, creating test specifications, test plans, and test scenarios. Additionally, a balance between individual and team efforts in collaborative processes while meeting deadlines will be necessary. Experience and skills in AI/ML fundamentals, data quality assessment, model performance testing, AI/ML testing tools familiarity, bias and fairness testing, and programming skills for AI/ML testing are highly desirable. Proficiency in Python and SQL for creating test scripts, data manipulation, and working with ML libraries will be beneficial. Familiarity with MLOps, model lifecycle testing, structured delivery processes, Agile methods, and various platforms and databases will also be advantageous. Enjoy a competitive compensation package and comprehensive benefits as part of this role at Netsmart, an Equal Opportunity Employer dedicated to diversity and inclusivity.,

AI/ML Engineer NLP Focus Location : Noida / Gurugram Type : Full-time Hiring for Our Client About The Role We are looking for a talented and experienced AI/NLP Engineer to join our clients innovative and fast-paced team. The ideal candidate is passionate about cutting-edge AI applications and has a proven track record in Natural Language Processing (NLP), Machine Learning (ML), and Generative AI. Youll play a critical role in designing, fine-tuning, deploying, and optimizing AI models for real-world applications. If you enjoy solving complex business problems using scalable AI solutions and collaborating with cross-functional teams, wed love to hear from you. Key Responsibilities Model Development & Fine-tuning : Customize, fine-tune, and optimize state-of-the-art NLP models (e.g., Transformer-based, Conformer-based, VITS). Train models from scratch for business-specific challenges. Generative AI & Prompt Engineering : Design effective prompts tailored to user and business needs. Build similarity models (e.g., BERT, XLNet, cross-encoders) for LLM-based Retrieval-Augmented Generation (RAG). Model Deployment & Optimization : Deploy models at scale using Docker, Kubernetes, and AWS. Optimize performance using vLLM (Paged Attention), quantization, and adapter-based tuning (LoRA, QLoRA). Performance Monitoring & Pipeline Development : Evaluate and enhance model performance (accuracy, latency, scalability). Build robust ML pipelines using tools like Airflow and AWS Batch. Cross-functional Collaboration : Work closely with data scientists, engineers, and product teams to integrate NLP models into production systems. Required Skills & Experience Experience : 6+ years in NLP/ML with deep expertise in fine-tuning and transfer learning. NLP Specialization : ASR, TTS, or custom LLM architectures (e.g., auto-regressive transformers, RWKV). Generative AI : Skilled in designing prompts and leveraging LLMs for business use cases. Programming : Strong in Python; experience in model implementation and pipeline building. Deployment : Hands-on with Docker, Kubernetes, and cloud platforms (AWS preferred). Frameworks & Tools : TensorFlow, PyTorch, Hugging Face, NLTK, SpaCy, Gensim. Bonus Skills (Nice To Have) Cloud & MLOps : AWS Lambda, Step Functions, Batch, GCP, Azure, or Nemo. Scalability : Experience in managing and scaling large AI deployments in production. Preferred Qualifications Bachelor's or Masters in Computer Science, Data Science, Engineering, or a related field. Experience working with large datasets and building robust preprocessing pipelines. Strong grasp of neural networks and advanced deep learning architectures for NLP. (ref:hirist.tech)

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team in providing a comprehensive perspective. As a Data Scientist Analyst in Asset and Wealth Management Risk within our AWM Risk team, you will play a key role in innovating and implementing data-driven risk analytics solutions through advanced data science and machine learning techniques. Your contributions will enable us to enhance our operations, strengthen our core values, and expand our analytical capabilities to support the growth of Newton's platform. JPMorgan Asset & Wealth Management Risk (AWM) is looking for a skilled Risk professional with quantitative analysis expertise to join our AWM Risk Analytics team. This team, part of AWM Risk Management, consists of innovative professionals focused on quantitative and market risk. You will be involved in developing risk measurement methodologies, analytics calculations, and maintaining the AWM Risk System (Newton) used by AWM Risk Management and Front Office stakeholders. Responsibilities: - Collaborate with peers and stakeholders to identify opportunities for using Data Science to drive value and enhance security and portfolio risk analytics. - Lead enhancements in AI/ML and statistical techniques for data and analytics validation. - Design and deliver scalable solutions using cutting-edge technologies like AI and LLMs. - Analyze large data sets, follow best practices for data model and architecture, and contribute to risk methodology enhancement. Required Qualifications: - Minimum 6 months of experience as a Data Scientist or in a related quantitative role. - Strong quantitative skills, attention to detail, ability to multitask, and work independently. - Excellent communication skills. - Proficiency in statistics, AI/ML techniques, and problem-solving. - Knowledge of programming languages such as SQL, Python, ML, AWS Sagemaker, TensorFlow, etc. Preferred Qualifications: - Experience in financial markets or quantitative analysis within Risk Management or Front Office. - Familiarity with asset pricing, VaR backtesting, and model performance testing.,

Job Role : Machine Learning Engineer. As a Machine Learning Engineer, youll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary Responsibilities Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. Architecting large scale data analytics / modeling systems. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure. Evaluate and validate the analysis with statistical methods. Creation of microservices and APIs for serving ML models and ML services. Evaluating new machine learning methods and adopting them for our purposes. Feature engineering to add new features that improve model performance. Required Skills Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with around 5 years of professional work experience working on real-world applications. Strong programming background Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch,. Excellent mathematical and skills and background Architecting and implementing end-to-end solutions for accelerating experimentation and model building. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc. Ability to perform both independent and collaborative research. Excellent written and spoken communication skills. (ref:hirist.tech)

Job Description We are seeking a skilled AI Developer with 24 years of experience to join our dynamic team. The ideal candidate will have hands-on experience in training models over images and text, with a strong focus on Generative AI (GenAI) technologies. You will collaborate with cross-functional teams to develop and deploy AI solutions that drive innovation and enhance our product Responsibilities : Design, develop, and fine-tune AI models for image and text data, utilising Generative AI techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. Implement, train, and optimise deep learning models for Natural Language Processing (NLP), Computer Vision (CV), and multimodal AI tasks. Manage the end-to-end lifecycle of AI projects, including data collection, pre-processing, model training, evaluation, and deployment. Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and products. Stay abreast of the latest advancements in AI research and apply innovative techniques to solve complex problems. Ensure ethical AI development practices, prioritising fairness, transparency, and privacy in all AI Skills and Qualifications : Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2 - 4 years of hands-on experience in developing AI solutions, with a focus on Generative AI models. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, and transformer architectures. Experience in pre-processing and augmenting large datasets for training AI models. Familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment. Excellent problem-solving skills and the ability to work collaboratively in a team Skills : Experience with Natural Language Processing (NLP) techniques and frameworks. Knowledge of MLOps practices and tools for continuous integration and deployment of AI models. Familiarity with ethical AI practices, including strategies for mitigating bias and ensuring responsible AI usage. (ref:hirist.tech)

Job Title: Data Science Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Optimspace.in Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your application with the subject line "Data Science Intern Application." 📅 Deadline: 20 th July 2025 Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Job Description: The Data/AI Engineer is an individual contributor role focused on advancing AT&T’s enterprise-scale AI solutions by developing, deploying, and maintaining robust machine learning operations pipelines and data engineering solutions. This role requires a strong blend of AI, data engineering, and MLOps expertise, ideally with exposure to technology, fraud management, and financial or risk domains. The ideal candidate thrives in agile product development environments and has a proven track record delivering scalable, production-ready AI products. Key Responsibilities Design, build, and optimize scalable data pipelines for ingestion, processing, and integration from diverse data sources. Develop and deploy AI and machine learning models into production environments, ensuring reliability and scalability. Utilize cloud platforms (AWS, Azure, GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka) to manage large-scale data workflows. Collaborate closely with data scientists and analysts to translate analytical models into operational AI solutions. Implement data quality checks, monitoring, and alerting to ensure data integrity and model performance. Support continuous integration and continuous deployment (CI/CD) processes for AI and data workflows. Apply best practices for data security, privacy, and compliance within all engineering solutions. Troubleshoot and resolve data and AI system issues in production environments. Document architecture, processes, and technical specifications to ensure maintainability and knowledge sharing. Stay up-to-date with emerging technologies and industry trends in data engineering and AI. Experience working in agile/scrum product development teams. Strong analytical and problem-solving skills with a client-focused mindset. Excellent communication and presentation skills for conveying complex analytics and AI concepts to diverse audiences. Qualifications Required: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Proven experience in data engineering and AI/ML model deployment in enterprise environments. Proficiency in programming languages such as Python, SQL, and familiarity with Spark or similar distributed computing frameworks. Experience with cloud data platforms and services (AWS, Azure, GCP). Strong understanding of data pipeline architecture, ETL/ELT processes, and data warehousing concepts. Familiarity with containerization (Docker) and orchestration tools (Kubernetes) is a plus. Excellent problem-solving skills and ability to work collaboratively in cross-functional teams. Preferred: Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of real-time data streaming technologies (Kafka, Kinesis). Understanding of data governance, data privacy regulations, and responsible AI principles. Experience with CI/CD pipelines and automation tools for ML workflows. Strong communication skills for technical and non-technical audiences. Familiarity with Generative AI, Large Language Model (LLM) workflows, and Graph-based Retrieval-Augmented Generation (RAG) techniques. Background in telecommunications, fraud management, financial services, or risk analytics. Knowledge of responsible AI practices, data governance, and bias mitigation strategies. Willingness to work flexible shifts as required to support business operations. #DataEngineering Weekly Hours: 40 Time Type: Regular Location: IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. JobCategory:BigData

The role of Generative AI Engineer at JS GLOBAL IT CONSULTANCY SERVICES in Manesar is a full-time hybrid position based in New Delhi with the flexibility of working from home. As a Generative AI Engineer, your main responsibilities will include conducting research, performing data analysis, developing and implementing AI models, and utilizing laboratory skills to advance AI technologies. In addition, you will be required to analyze results, communicate findings, and collaborate with team members to enhance AI solutions. To excel in this role, you should possess strong analytical skills and data analysis abilities, proficiency in communication and collaborative work, research experience, and proficiency in laboratory skills. A Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field is required. Experience with AI frameworks and programming languages such as Python, TensorFlow, and PyTorch is also essential. The ability to work independently as well as part of a team is crucial for success in this position.,