3005 Deep Learning Jobs

As an APAC Director of Analytics & Insights Transformation at NTT DATA, your role is pivotal in engaging clients across targeted verticals to address their pains and realize their ambitions in the realm of analytics & insights. You will support client managers in various key areas including Account Planning, Opportunity Seeding, Opportunity Strategy & Execution, Portfolio Ideation, and In-Contract Innovation Strategy. Your responsibilities will involve understanding clients" enterprise-wide landscape, pains, and ambitions to identify solutions that align with their needs. You will play a crucial role in creating client awareness and interest in NTT DATA's portfolio offers, collaborating with solution and technical architects to develop multi-domain solutions, and optimizing value and costing to win deals. Additionally, you will share client needs with service divisions to enhance portfolios, track bookings growth, and define innovation strategies for ongoing client delivery. To excel in this role, you must possess expertise in industry value chain, client pains & ambitions, and business and IT practices related to insights and analytics. Strong analytical skills, knowledge of traditional and emerging technologies in data analytics, and the ability to translate complex data findings into actionable insights are essential. You should also be able to collaborate effectively with internal teams, create compelling presentations for clients, and have a deep understanding of NTT DATA's portfolio to position its value and differentiators effectively. The qualifications and experience required for this role include a Bachelor's degree in engineering, computer science, or a technology discipline, along with a total experience of 15+ years and 5+ years specializing in systems of insights. A master's degree in business management or executive management programs in business is preferred. Experience in machine/deep learning, artificial intelligence, big data, data science, cloud analytics, and data modeling in specific verticals such as FSI, manufacturing/auto, retail, and healthcare is crucial. NTT DATA, a trusted global innovator of business and technology services, is committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we invest significantly in research and development to support organizations in moving confidently into the digital future. Join us at NTT DATA and be part of a diverse team of experts working towards a sustainable and digitally transformed world.,

You should possess a ME/M Tech or PhD in Computer Science or a related field to qualify for the role of Assistant Professor in Artificial Intelligence/Data Science at ASIET Kalady. As an Assistant Professor, your responsibilities will include conducting lectures, developing curriculum, mentoring students, and conducting research in the field of AI and Data Science. To excel in this role, you must have strong programming skills in languages such as Python, R, or Java. Additionally, experience in machine learning, deep learning, and data analysis will be beneficial. Knowledge of data visualization tools like Tableau or Power BI is also required. Excellent communication and presentation skills are essential for effectively conveying information to students and peers. If you hold a PhD in Computer Science, Data Science, or a related field, and meet the aforementioned qualifications, you are encouraged to apply for this challenging and rewarding position.,

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

You should have 3-5 years of experience in writing and debugging intermediate to advance level Python code with a good understanding of concepts related to OOPS, APIs, and SQL Databases. Additionally, you should possess a strong grasp of fundamental basics of Generative AI, large language models (LLMs) pipelines like RAG, Open AI GPT models, and experience in NLP and Langchain. It is essential to be familiar with the AWS environment and services like S3, lambda, Step Functions, CloudWatch, etc. You should also have excellent analytical and problem-solving skills and be capable of working independently as well as collaboratively in a team-oriented environment. An analytical mind and business acumen are also important qualities for this role. You should demonstrate the ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. It would be beneficial to have familiarity with Python libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT, or similar models, along with experience in Deep Learning and machine learning.,

As a Senior Data Scientist, you will play a crucial role in supporting the design, development, and implementation of generative AI models and systems. Your responsibilities will include assisting in model development, algorithm optimization, data preprocessing, feature engineering, model evaluation, and collaboration with cross-functional teams. You will focus on learning and developing your skills in generative AI while ensuring ethical considerations are adhered to under the guidance of senior team members. Your technical skills should include in-depth knowledge of ML, Deep Learning, NLP algorithms, and experience with ML platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proficiency in Python, Java, or C++, along with machine learning frameworks such as TensorFlow or PyTorch, is essential for developing and optimizing generative AI models. Cloud computing experience, particularly with Google or Azure Cloud Platform, is crucial, as well as an understanding of Data Analytics Services offered by these platforms. Preferred technical skills may include knowledge of Azure Cognitive Search, Google Cloud Search, AWS Kendra, and experience in large-scale deployment of ML projects with a good understanding of DevOps/MLOps/LLM Ops. Strong communication skills, the ability to work independently, mentor junior developers, and understand business objectives to support data needs are key behavioral attributes required for this role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science and possess 6 to 8 years of relevant work experience. If you are looking to contribute to cutting-edge generative AI projects, collaborate with diverse teams, and stay updated with the latest AI trends, this role is ideal for you.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. **Responsibilities:** - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and have deployed open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. **Key Requirements/Skills & Qualifications:** - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in Machine Learning, Large Language Models, Retriever augmented generation, prompt engineering, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, API Deployment, and webapps creation. - Additional skills requirements include excellent written, oral, presentation and facilitation skills, project management experience, knowledge of firms reporting tools and processes, proactive, organized, and self-sufficient with the ability to prioritize and multitask. **What We Look For:** - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. **What Working at EY Offers:** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers to the complex issues facing our world today.,

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Experience Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organizations implementation acts as reference architecture for large companies and helps drive product capabilities. Do you want to lead the design and development of mission-critical platforms at Microsoft The Marketing Engineering team is building the next generation of marketing and store experiences, leveraging AI to transform content generation, personalization, and delivery. We are looking for a Principal Engineering Manager who will grow talent, foster team culture, and drive software development & service excellence in our organization. As a member of our growing org, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities - Lead, mentor, and manage a team of software engineers to design, develop, and implement robust and scalable software applications that utilize generative AI techniques. - Drive the integration of AI and machine learning capabilities to enhance platform functionality. - Provide technical leadership, ensuring adherence to best practices, coding standards, and quality benchmarks. - Identify opportunities to improve and optimize existing systems using generative AI. - Define and drive the technical roadmap, aligning with business goals and organizational priorities. - Mentor and coach engineers at all levels to grow their technical skills and foster a high-performing team. - Partner with cross-functional teams to define requirements, solve complex technical challenges, and deliver solutions on time. - Collaborate with stakeholders to establish metrics for success and continuously improve system performance. - Stay informed on industry trends and emerging technologies to bring innovative solutions to the team. - Embody our Culture and Values Qualifications Basic Qualifications: - Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. - 3+ years of people management experience in software engineering domain. - 3+ years of professional experience in technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems. - 10+ years of professional software development experience, with a proven track record of designing and delivering large-scale, distributed systems. - Proficiency in programming languages such as Python, C#, or Java. - Deep knowledge of cloud platforms (Azure, AWS, GCP) and modern software development practices (e.g., microservices, CI/CD, DevOps). - Demonstrated ability to lead and mentor engineering teams, fostering a collaborative and high-performing culture. - Excellent problem-solving skills and ability to handle ambiguity in technical requirements. - Excellent cross-group and interpersonal skills, with the ability to articulate solutions. - Bachelor's or master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent work experience. Preferred Qualifications - Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance. - Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP). - Experience with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and their application to real-world problems. - Knowledge of containers (Docker) and orchestration tools like Kubernetes. - Strong analytical mind and a confident decision maker. - Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity. - Ability to balance competing demands and adapt to changing priorities. - Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews. - Designing and implementing applications using Low Code/No Code platforms would be a plus - nice to have. Be part of an innovative team where you can lead, mentor, and make a lasting impact. Join us in shaping the future of marketing experiences at Microsoft!,

You will be joining NTT DATA as a Mid Data Science & AIML, GenAI Lead/Engineer in Bangalore, Karnataka, India. Your role will involve developing and implementing traditional machine learning algorithms, deploying models in a production environment, and writing Python code for data science and machine learning projects. As a Data Science & AIML, GenAI Lead/Engineer, your key responsibilities will include working with Deep Learning techniques, Generative AI (GenAI), Large Language Models (LLM), and Langchain. You will be expected to have knowledge and experience in these areas to excel in this role. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a strong partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as application development, infrastructure management, and connectivity solutions. NTT DATA is a leading provider of digital and AI infrastructure, committed to helping clients innovate, optimize, and transform for long-term success. If you are a passionate individual with a desire to grow in an inclusive, adaptable, and forward-thinking organization, apply now to be part of NTT DATA's team and contribute to their mission of helping organizations and society move confidently and sustainably into the digital future.,

The position available is for the role of Data Scientist on a permanent, full-time basis. The ideal candidate should possess at least 7 years of experience in the field. The job location can be in Noida, Gurgaon, Pune, or Bangalore, with the standard working week being 5 days. The work mode for this role is Hybrid. The mandatory skills required for this position include expertise in Transformer Models, with experience in either finetuning or training on Open-Source Transformer-based models. The candidate should have completed projects involving LLM, NLP, LLAMA, Hugging face, and RAG. Proficiency in Python coding is a must, along with experience in Gen AI projects. Additionally, the candidate should have knowledge of either Machine Learning or Deep Learning. Experience with Conversational AI/Chatbot is considered a plus for this role.,

As an AI Engineer & Validation at Leadsoc Technologies in Hyderabad, you will be responsible for leveraging your skills in machine learning fundamentals, including deep learning, large language models, and recommender systems. Your role will involve having a strong background in validation, defect analysis, and the software development life cycle. Additionally, you should possess a solid knowledge of Ubuntu and Yocto Linux systems. To excel in this position, you must have experience working with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime. Proficiency in profiling ML workloads and executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, and OpenVINO will be crucial for success in this role. A strong background in Python programming is essential for effectively carrying out your responsibilities. Ideally, you should have 3-6 years of experience in the field and be able to join the team with a notice period of 0-15 days. If you are passionate about AI engineering and validation and possess the required skills and experience, we encourage you to apply and be a part of our dynamic team at Leadsoc Technologies. Thank you for considering this opportunity. Best regards, Murali,

As a Research Assistant at our institution, you will have the opportunity to contribute to cutting-edge research in various domains such as Artificial Intelligence, Medical Image Analysis, Clinical Neuroscience, and more. Your primary responsibility will involve providing advanced modeling and medical image analytics support to projects within SCMIA. You will lead the development, testing, and implementation of Deep learning/machine learning models while also managing the computational and administrative requirements of the NVIDIA DGX A100 GPU Server. Collaboration will be a key aspect of your role as you work closely with a diverse team including clinicians, radiologists, technicians, surgeons, and other engineers. In addition to technical tasks, you will be responsible for developing and maintaining test scripts, documentation, and training materials for new recruits and students. Moreover, you will have the opportunity to contribute to scientific journal publications and receive advanced training on new tools to enhance your skill set. To be successful in this role, you should possess a minimum qualification of M.Tech/M.S./M.E./M.Sc. or equivalent in relevant fields such as Computer Science, Information Technology, Electronics and Telecommunication, Data Sciences and AI, or Applied Mathematics. Alternatively, a Ph.D. degree in one of the research domains with a focus on medical imaging will be considered. Preference will be given to candidates with hands-on experience in areas such as data analytics/modelling, data science, machine learning, clinical trial protocols, Python programming, medical image analysis, and Unity 3D development. Salary and emoluments for this position will be as per the SIU norms and commensurate with your experience and educational qualifications. If you are interested in joining our team, please submit your detailed resume, including any relevant qualifications and publications, along with a cover letter via email to head@scmia.edu.in by the 15th of August, 2025. We look forward to receiving your application and potentially welcoming you to our research team.,

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG) is responsible for creating all of KLA's metrology and inspection products. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from various markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface macro inspection that is critical for various processes. LS-SWIFT operates globally and serves a worldwide customer base. Responsibilities: - Design, develop, and implement cutting-edge deep computer vision, signal processing, machine learning, or image processing algorithms - Rapidly prototype and validate new image processing and machine learning ideas - Develop end-to-end solutions considering system, imaging pipeline, user experience, and end application requirements - Collaborate in a highly cross-functional organization for systems integration of algorithms - Write robust production-quality code - Take ownership of prototype to production of algorithms Requirements: - Strong background in signal processing, machine learning, deep learning, computer vision, and image processing - Proficiency in C/C++, Matlab, Python, and object-oriented design - Experience in design and rendering software is a plus - Knowledge of common deep learning frameworks like TensorFlow and PyTorch - Ability to formulate problems into mathematical equations - Team player with excellent written and verbal communication skills - Ability and willingness to travel worldwide to support demos and projects at customer sites Minimum Qualifications: - Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years KLA offers a competitive, family-friendly total rewards package and is proud to be an equal opportunity employer. Be cautious of potentially fraudulent job postings and recruiting activities. KLA does not ask for financial compensation for interviews or equipment, nor work with recruiters who charge such fees. If you have concerns about the legitimacy of any communication, interview, or offer, please contact talent.acquisition@kla.com for verification.,

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. Your primary job responsibilities include documenting data requirements for your product and coordinating with technology and business partners to manage change from legacy to modernized data. You will have to model data for efficient querying and use in LLMs by utilizing the business data dictionary and metadata. Moreover, you are expected to develop ideas for data products by understanding analytics needs and creating prototypes for productizing datasets. Additionally, developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities will be part of your tasks. You will also support the team in building backlog, grooming initiatives, and leading data engineering scrum teams. Managing direct or matrixed staff to execute data-related tasks will also be within your purview. To be successful in this role, you should hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. Furthermore, you should possess the ability to balance short-term goals and long-term vision in complex environments, along with knowledge of open data standards, data taxonomy, vocabularies, and metadata management. A Master's degree is preferred for this position, along with the aforementioned qualifications, capabilities, and skills.,

As a Junior Data Scientist at GWC DATA.AI in Kolkata, India, you will be part of a dynamic Data Science team, collaborating with senior professionals to work on data analysis, predictive modeling, and business intelligence projects. This role is ideal for recent graduates or individuals with up to 2 years of experience in data analytics or machine learning. Your responsibilities will include collecting, cleaning, and analyzing large datasets, building machine learning models and algorithms, creating data visualizations, collaborating with cross-functional teams, and documenting data science workflows and outcomes. You will also be expected to stay updated on the latest trends and technologies in the field of data science. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python or R for data analysis, familiarity with SQL, and a solid understanding of statistics, data wrangling, and exploratory data analysis are required. Additionally, having skills in Machine Learning, Deep Learning, NLP, Computer Vision, and GenAI will be beneficial. Strong problem-solving and communication skills, along with a willingness to learn in a fast-paced environment, are essential. This is a full-time position with benefits including paid sick time and Provident Fund. The work schedule is during the day shift, and the role requires in-person work in Kolkata, West Bengal. If you are passionate about data science and looking to grow your career in a collaborative environment, we encourage you to apply before the application deadline on 10/08/2025.,

At Murf AI, we're simplifying multimedia creation by harnessing the power of artificial intelligence. Our platform empowers users to craft high-quality voiceovers effortlessly, without the need for recording equipment. Some interesting facts about Murf AI: Customers in 100+ countries 1Mn+ registered users 6X growth in revenue in the last 12 months 120+ voices in 20+ languages offered by Murf Studio Consistently rated a Leader and Momentum Leader on G2 in the text-to-speech category in 2023 and 2022 Working on bleeding-edge research problems in synthetic speech, synthetic video, and dubbing. We are seeking a highly skilled and innovative Research Scientist specializing in Generative Video AI to join our dynamic team. As a Research Scientist, you will play a pivotal role in developing cutting-edge algorithms and models for creating synthetic videos, avatars, and lip syncing applications. Your expertise in AI, computer vision, and image processing will be instrumental in advancing our technology and pushing the boundaries of generative video AI. This is an exciting opportunity to work at the forefront of AI research and contribute to groundbreaking advancements in the field. An ideal candidate will hold a Ph.D. in AI or Computer Science with a specialization in Computer Vision, Image Processing, or related fields with 3+ years of additional relevant work experience. Roles & Responsibilities: Conduct research in the field of generative video AI, focusing on synthetic videos, avatars, and lip-syncing use-cases Develop algorithms and models based on state-of-the-art computer vision and machine learning advancements, especially in the areas of generative AI (e.g. image, video, or 3D generation) Collaborate with cross-functional teams to understand requirements, identify research problems, and propose innovative solutions Collect and curate large-scale datasets for training and evaluating video generation models Develop and optimize computational pipelines for video generation, ensuring efficiency and scalability Stay up-to-date with the latest advancements in generative video AI, attending conferences, publishing research papers, and actively contributing to the scientific community Provide technical guidance and mentorship to junior researchers and engineers Collaborate with product teams to integrate research findings into practical applications and drive commercialization efforts Contribute to patent filing and intellectual property protection activities, as applicable Skills & Qualifications: Strong background in generative models, deep learning such as GANs, NeRFs, VAEs, Diffusion Models, etc. Solid understanding of image processing and computer vision techniques in general Ability to conduct original research and first principles problem-solving Ability to collaborate effectively in a team environment and lead research initiatives Proficiency in programming using Python and either TensorFlow or PyTorch Proven publications in computer vision or artificial intelligence peer-reviewed top-tier conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.) or leading Journals (LNCS, PAMI, TOG, etc.) published by IEEE, ACM, Springer, Elsevier, etc. Experience with large-scale data collection and curation is a plus Benefits/Perks: Collaborative and stimulating work environment Opportunity to work with cutting-edge technologies and make a significant impact in the field of generative video AI Insurance/healthcare coverage as per company policy Leaves available as per company policy Why Murf.ai Murf AI is revolutionizing creative workflows for businesses through the utilization of our cutting-edge AI technology. Recognized as a consistent Leader and Momentum Leader on G2 in 2022 and 2023, we empower L&D and creative teams to evolve into dynamic creative powerhouses. With a focus on cutting-edge research and innovation, a positive work culture, and real impact in the AI-driven space, Murf.ai is one of the fastest-growing companies in the AI voice space. Join us at this pivotal moment, where your ideas matter, and your leadership can leave a lasting impact. If you're ready for a challenge and have the vision to lead from the front, Murf.ai is where your journey into the next chapter of AI innovation begins.,

This role is for one of the Weekday's clients. We are an innovative company at the forefront of AI-driven solutions, specializing in cutting-edge technologies to solve real-world problems. We are seeking a talented and passionate Computer Vision Engineer with expertise in both Computer Vision and Natural Language Processing (NLP) to join our dynamic team. Key Responsibilities: Develop and implement state-of-the-art computer vision algorithms for image and video processing tasks such as object detection, image segmentation, feature extraction, and recognition. Design, build, and deploy NLP models for tasks such as text recognition from images (OCR), sentiment analysis, and text classification. Collaborate with data scientists and machine learning engineers to integrate computer vision and NLP models into production systems. Work with large datasets to train and fine-tune models, ensuring high accuracy and performance. Conduct research to stay updated on the latest advancements in computer vision and NLP, and apply them to ongoing projects. Optimize model performance for real-time applications on various platforms (e.g., cloud, mobile, edge devices). Analyze and preprocess datasets including images, videos, and text for training and validation. Collaborate with cross-functional teams to ensure seamless integration of computer vision and NLP components within larger applications. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience (3+ years) in developing computer vision solutions and NLP models. Strong proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, Keras, and scikit-learn. Hands-on experience with deep learning frameworks (e.g., CNNs, RNNs, Transformers) for both computer vision and NLP tasks. Expertise in Natural Language Processing tasks such as tokenization, text embedding, and sequence-to-sequence models. Familiarity with Optical Character Recognition (OCR) tools and techniques. Experience working with datasets for object detection, semantic segmentation, and text recognition from visual data. Proficiency in deploying and scaling machine learning models in production environments (AWS, GCP, Azure). Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Preferred Skills: Knowledge of Reinforcement Learning (RL) and how it can be applied to vision tasks. Familiarity with multimodal machine learning, integrating vision and language models. Experience in edge computing for deploying models in real-time environments. Strong understanding of cloud-based AI/ML pipelines.,

As a Data Scientist + ML at our company, you will be responsible for extracting and analyzing data from company databases to optimize product development and marketing strategies. Your role will involve analyzing large datasets to uncover trends and insights that can drive business decisions. Leveraging predictive and AI/ML modeling techniques, you will enhance customer experience, revenue generation, and ad targeting. You will design, implement, and optimize machine learning models for various applications such as predictive analytics, natural language processing, and recommendation systems. Additionally, you will conduct experiments to fine-tune models and deploy them into production environments, ensuring scalability. To qualify for this role, you should hold a Bachelor's, Master's, or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. You must have at least 2 years of experience in Analytics, Machine Learning, and Deep Learning. Proficiency in programming languages like Python and familiarity with machine learning libraries such as Numpy, Pandas, TensorFlow, Keras, PyTorch, and Scikit-learn are required. Strong experience in data wrangling, cleaning, and transforming raw data, along with developing, training, and deploying machine learning models is essential. You should have a deep understanding of machine learning algorithms and model evaluation techniques, as well as experience with cloud platforms like AWS, GCP, and Azure for model deployment and scalability. It would be beneficial if you have experience in the banking/financial services industry and familiarity with cloud-based machine learning platforms like Azure, AWS, or GCP. The job is full-time, Monday to Friday, and requires a total of 5 years of work experience, with specific requirements in Data Science (5 years), Machine Learning (3 years), Deep Learning (3 years preferred), Google Cloud Platform (2 years preferred), AWS (2 years preferred), Azure (2 years preferred), and Python (4 years required). This role is based in person in Bangalore, Hyderabad, Noida, or Chennai. If you possess excellent problem-solving skills, strong communication abilities, and the capability to work effectively in a collaborative environment, we encourage you to apply for this exciting opportunity.,

You will be joining Hiring Eye, a recruitment agency based in Hyderabad that offers comprehensive recruitment solutions for various industries nationwide. With a focus on E-Commerce, Internet, SAAS, PAAS, and IT product companies, Hiring Eye guarantees efficient closures and tailored services to cater to the staffing needs of its clients. As a KDB Programmer, you will undertake full-time on-site responsibilities at Hiring Eye. Your primary duties will revolve around back-end web development, software development, programming, and object-oriented programming (OOP). To excel in this role, you should possess 3 to 5 years of experience, with at least 2 years dedicated to KDB+/KDB. Proficiency in Linux/Unix is essential, alongside expertise in Deep learning, Data Extraction, Data Science, and Data Analytics. Strong Computer Science and Software Development skills are a must, with a background in Back-End Web Development. A Bachelor's degree in Computer Science or a related field is required. Your success in this position will be supported by your problem-solving capabilities, analytical mindset, and excellent communication and teamwork skills. You should be adept at working both independently and collaboratively. Educational qualifications preferred are B. Tech/M. Tech/MCA. Immediate joining or individuals serving their notice period will be given preference. This role is based on-site in Bangalore, offering you the opportunity to contribute to Hiring Eye's mission while enhancing your skills and expertise in the field.,

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics. We are a category defining niche cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work. We partner with clients in their beyond x journey to drive intelligent, impactful & futuristic business outcomes. We are the most preferred tech partner of choice when it comes to solving for better for the new-age tech startups & digital enterprises, leading disruption in their industries. Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services. As one of the top 5 niche full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred engineering-led tech company of choice when it comes to solving complex business problems. Responsibilities - Build a diverse cross-functional team to identify and prioritize key areas of the business across ML, AI, NLP and other cognitive solutions that will drive significant business benefit. - Lead AI R&D initiatives to include prototypes and minimum viable products. - Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. - Build reusable and scalable solutions for use across the customer base. - Create AI white papers and enable strategic partnerships with industry leaders. - Align, mentor, and manage team(s) around strategic initiatives. - Prototype and demonstrate AI related products and solutions for customers. - Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems). - Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans. - Identify new business opportunities and prioritize pursuits for AI. - Participate in long-range strategic planning activities designed to meet the Company's objectives and to increase its enterprise value and revenue goals. - Build a great work environment that attracts and retains elite talent. - Work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the right outcomes. Qualifications - Bachelors degree (in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling) or equivalent required. MBA and/or advanced technical degree preferred. - 6+ years of Experience majorly in AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus. - Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks. - Ability to interact, converse and ideate with CTOs, CEOs, VPs and IT Directors. - Prior experience leading a technical team. You are experienced at running a team of high performing individuals, and understand how to get the most out of smart, motivated people. - Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains. - Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus. - Excellent communication skills to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in diverse teams. - Be a Searce Cloud evangelist. Educate customers of all sizes on the value proposition of various services and benefits offered by Searce and partner OEMs. - Author or otherwise contribute to Searce's customer-facing publications such as whitepapers, blogs, and proof of concepts.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 1000 companies. With a presence in more than 45 countries across five continents, Evalueserve excels in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate clients" business impact and strategic decision-making. The team at Evalueserve consists of 4,500+ talented professionals operating across 45 countries, spanning India, China, Chile, Romania, the US, Canada, as well as emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in multiple countries, Evalueserve offers a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. Evalueserve University has been established to design and deliver a Global Learning Strategy integral to business success. From new graduate onboarding to leadership skill development workshops and domain-specific knowledge programs, the university strengthens structured learning opportunities. As a member of the Evalueserve team, you will partner with business leaders and subject matter experts to design and deliver learning programs focused on developing key competencies in Data Science. You will manage, enhance, and deliver signature boot-camp training programs for new hires globally and collaborate with Operations to identify training needs for on-role analysts. Additionally, you will create new learning content, monitor training quality and effectiveness, and ensure alignment with business needs. To excel in this role, you should have 5-10 years of experience in Data Science, along with proficiency in Cloud Fundamentals (Azure/AWS/GCP), Python, Machine Learning, LLM Ops, MLOps, Project Management, and NLP. Advanced skills in Computer Vision, Deep Learning, and other frameworks are desirable. Experience in Data Warehousing/Data Engineering/Big Data is an added advantage. A graduation degree is a prerequisite, along with excellent communication and interpersonal skills, and proficiency in Excel and PowerPoint. If you are ready to elevate your impact through innovation and learning, Evalueserve welcomes you to join its dynamic team and contribute to its mission of delivering cutting-edge solutions to clients worldwide.,

As an AI/ML Model Developer in this role, your core responsibility will be to build and optimize AI/ML models by leveraging Azure-based AI tools, TensorFlow, PyTorch, and similar frameworks. You will focus on the Logistics & Maritime industries, addressing complex business challenges using AI. Your expertise in cloud-based AI services for data storage, processing, and model deployment, with extensive use of Azure (and optionally AWS), will be crucial in this position. Your key responsibilities will involve designing, developing, and implementing machine learning algorithms. You will collaborate with business teams to translate requirements into technical AI/ML solutions, ensuring data quality for training models through data preprocessing. Using cloud tools like Azure/AWS, you will optimize models for high performance, perform training, tuning, and evaluation of models for continuous improvement. Staying updated on advancements in AI/ML, exploring new techniques, and providing data analysis & visualization to support business decision-making will be essential. You will also enhance existing products with AI-driven features such as automation, prediction, and recommendations while maintaining records for AI models, pipelines, and experiments. To qualify for this position, you should hold a Bachelor's/Master's degree in Engineering Science, Data Science, or a related field, along with 3-4 years of relevant AI/ML experience, preferably in Logistics and Maritime sectors. Key skills and technologies required include proficiency in programming languages like Python, R, or Java, expertise in machine learning techniques such as supervised/unsupervised learning, regression, classification, and clustering. Familiarity with AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn, and experience with cloud platforms like AWS or Azure tools for AI services are necessary. Specific experience with Logistics and Maritime products, along with additional skills in deep learning, NLP, and computer vision, will be advantageous. Strong analytical thinking, problem-solving, and communication skills are essential soft skills for this role. This is a full-time, permanent position with a day shift schedule that requires in-person work at the designated location.,

As a Ph.D. Data Scientist at PTS Consulting Services, you will be joining a dynamic team focused on advancing AI-driven solutions and conducting cutting-edge research in the areas of Artificial Intelligence (AI), Natural Language Processing (NLP), and Natural Language Understanding (NLU), as well as Generative AI. Your role will be pivotal in contributing to the development and implementation of advanced machine learning models and algorithms for various NLP and NLU tasks. Additionally, you will be responsible for analyzing large and complex datasets to extract valuable insights, training and evaluating machine learning models, developing relevant features from textual data, and collaborating with cross-functional teams to deliver comprehensive solutions. Furthermore, you will play a key role in continuously optimizing algorithms and models for efficiency and accuracy, documenting research findings, and staying updated with the latest advancements in AI, NLP, and NLU through continuous learning and participation in conferences and workshops. To qualify for this position, you must hold a Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, with proven expertise in AI, NLP, and NLU, demonstrated through a strong publication record in relevant conferences and journals. Proficiency in programming languages such as Python and libraries like NLTK, TensorFlow, PyTorch, or spaCy, experience with deep learning techniques and frameworks, and strong knowledge of statistical analysis, machine learning, and data mining are essential requirements. Additionally, familiarity with data preprocessing techniques for unstructured text data, excellent problem-solving skills, and the ability to work on complex research problems are crucial. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders are also desired qualities. Experience with cloud computing platforms, such as AWS or Azure, would be considered a plus. Join us at PTS Consulting Services and be a part of our journey towards major growth, where we value our clients and employees alike through a strong employee engagement culture. Come be a part of our team and contribute to the success of our AI-driven solutions and research efforts in the field of AI, NLP, NLU, and Generative AI.,

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

The key responsibilities for this role include deploying and optimizing computer vision and deep learning models on Jetson family hardware platforms. You will be responsible for developing software to interface with sensors, cameras, and other peripherals to enable efficient data acquisition and processing. Additionally, you will implement and optimize algorithms for real-time applications, ensuring low latency and high performance. Collaborating with cross-functional teams to define system requirements and specifications will also be a part of your role. You will be expected to perform model compression, distillation, pruning, and quantization techniques to optimize model size and improve inference speed. Debugging and troubleshooting software and hardware issues on embedded systems is another key responsibility. Moreover, writing clean, efficient, and well-documented code is essential for this position. Please note that only candidates available for full-time (in-office) roles and able to start immediately are eligible to apply for this position. If you are passionate about pushing the boundaries of satellite-based insights and contributing to shaping the future of technology, we invite you to join our innovative team at SkyServe. Take this opportunity to be a part of Hyspace (SkyServe), a company that aims to remove barriers to accessing knowledge about Earth through autonomous technologies. Our vision is to create a global continual satellite sensing and computing platform by developing technologies and business models that integrate with the changing world. If you are ready to make an impact, we want to hear from you. Apply now and be a part of our exciting journey at SkyServe.,