9815 Tensorflow Jobs - Page 26

Design & develop AI/ML solutions to be flexible, scalable & extensible. Build solutions that incorporates cognitive techniques such as statistics, machine leaning, NLP, deep learning, transfer learning Hands-on in python libraries like pandas, numpy, scikit-learn, scipy, nltk, tensorflow, keras, pytorch etc. Excellent at feature engineering, Exploratory data analysis and data visualization Keen to work on cloud-based ML solutions using AWS,GCP,Azure,IBM Watson etc. Innovative, studies research papers and implement them. Curious to learn latest algorithms and concept and use them professionally Develop areas of continuous and automated deployment Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling. 3-5 years of experience in data science, machine learning field An advanced degree in engineering, computer science, statistics or related field is preferred Expertise with data science and python, machine learning, NLP and deep learning is essential Experience with back-end XML, relational databases (e.g. MS SQL, Postgres) Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Serverless Lambda, EC2, RDS) Experience of publishing the research paper in renowned forums Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Role: Machine Learning Engineer - MLOps Job Overview As a Senior Software Development Engineer, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Team Overview Your team’s goal will be to reduce friction and time-to-business-value for teams building Artificial Intelligence (AI) solutions at PitchBook. You will be essential in helping to build exceptional AI solutions relied upon and used by thousands of PitchBook customers every day. You will work with PitchBook professionals around the world with the collective goal of delighting our customers and growing our business. While demonstrating a growth mindset, you will be expected to continuously develop your expertise in a way that enhances PitchBook’s AI capabilities in a scalable and repeatable manner. You will be able to solve various common challenges faced in the MLDLC while providing technical guidance to less experienced peers. Outline Of Duties And Responsibilities Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment Design and deliver on projects end-to-end with little to no guidance Provide support to teams building and deploying AI applications by addressing common painpoints in the MLDLC Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. Experience, Skills And Qualifications Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience) +2 years of experience in hands-on development of Machine Learning algorithms +2 years of experience in hands-on deployment of Machine Learning services +2 years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance +2 years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) Experience with at least 80%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement Experience in cloud-native delivery, with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions. Proficiency in GitOps and creation/management of CI/CD pipelines Demonstrated experience building and using SQL/NoSQL databases Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools. Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently Experience working across multiple development teams is a plus Working Conditions The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Morningstar India is an equal opportunity employer Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

You will be joining our team as a Senior Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should possess a minimum of 5-7 years of experience in data science, focusing on AI/ML applications. You are expected to have a strong background in various ML algorithms, programming languages such as Python, R, or Scala, and data processing frameworks like Apache Spark. Proficiency in data visualization tools and experience in model deployment using Docker, Kubernetes, and cloud services will be essential for this role. Your responsibilities will include end-to-end AI/ML project delivery, from data processing to model deployment. You should have a good understanding of statistics, probability, and mathematical concepts used in AI/ML. Additionally, familiarity with big data tools, natural language processing techniques, time-series analysis, and MLOps will be advantageous. As a Senior Data Scientist, you are expected to lead cross-functional project teams and manage data science projects in a production setting. Your problem-solving skills, communication skills, and curiosity to stay updated with the latest advancements in AI and ML are crucial for success in this role. You should be able to convey technical insights clearly to diverse audiences and quickly adapt to new technologies. If you are an innovative, analytical, and collaborative team player with a proven track record in AI/ML project delivery, we invite you to apply for this exciting opportunity.,

Description / Position Overview This is a key position for our client to help create data-driven technology solutions that will position us as the industry leader in healthcare, financial, and clinical administration. This hands-on Lead Data Scientist role will focus on building and implementing machine learning models and predictive analytics solutions that will drive the new wave of AI-powered innovation in healthcare. You will be the lead data science technologist responsible for developing and implementing a multitude of ML/AI products from concept to production, helping us gain a competitive advantage in the market. Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science to solve some of the industry's most complex challenges. This is a greenfield opportunity within VHT’s Product Transformation division, where you'll build groundbreaking machine learning capabilities from the ground up. You'll have the chance to shape the future of VHT’s data science & analytics foundation while working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment. Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: • Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood • Claim Denials Prediction - identifying high-risk claims before submission • Payment Amount Prediction - forecasting expected reimbursement amounts • Cash Flow Forecasting - predicting revenue timing and patterns • Patient-Related Models - enhancing patient financial experience and outcomes • Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment • Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) • Development Tools : Jupyter Notebooks, Git, Docker • Programming : Python, SQL, R (optional) • ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow • Data Processing : Spark, Pandas, NumPy • Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field • 5+ years of hands-on data science experience with a proven track record of deploying ML models to production • Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) • Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) • Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques • Experience with model deployment, monitoring, and MLOps practices • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications • US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management • Experience with healthcare data standards (HL7, FHIR, X12 EDI) • Knowledge of healthcare regulations (HIPAA, compliance requirements) • Experience with deep learning frameworks (TensorFlow, PyTorch) • Familiarity with real-time streaming data processing • Previous leadership or mentoring experience

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge: Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, and Adobe Stock, SDC is evolving into a generative AI powerhouse. This team develops innovative solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we’d love to have you join us. Responsibilities: As a Machine Learning Engineer on the SDC team, you will develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types. You will build and deploy scalable generative AI solutions to enable intelligent content discovery and contextual recommendations within Adobe products. Collaborating with multi-functional teams, you will integrate ML models into production systems, ensuring high performance, reliability, and user impact. Your role will involve researching, designing, and implementing pioneering techniques in natural language understanding, computer vision, and multimodal learning for content and asset discovery. You will also contribute to the end-to-end ML pipeline, including data preprocessing, model training, evaluation, deployment, and monitoring, while pushing the boundaries of computational efficiency to meet the needs of real-time, large-scale applications. Partnering with product teams, identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally, you will mentor and provide technical guidance to junior engineers and multi-functional collaborators, driving excellence and innovation within the team. What You’ll Need to Succeed: Bachelor’s or equivalent experience, advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or a related field. 6–9 years of industry experience building and deploying machine learning systems at scale. Proficiency in programming languages such as Python (for ML/AI) and Java (for production-grade systems). Strong expertise in machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Solid understanding of mathematics and ML fundamentals: linear algebra, statistics, optimization, and numerical methods. Experience with deep learning techniques for computer vision (e.g., CNNs, transformers), natural language understanding (e.g., BERT, GPT), or multimodal AI. Consistent track record of delivering ML solutions to production environments, optimizing performance, and ensuring reliability. Knowledge of large-scale distributed systems and frameworks (e.g., Kubernetes, Spark, Hadoop). Strong problem-solving skills and the ability to innovate new solutions for complex challenges. Excellent communication and collaboration skills to work efficiently in a fast-paced, multi-functional environment. Nice-to-Haves: Experience with generative AI (e.g., Stable Diffusion, DALL·E, MidJourney) and its application in content creation or discovery. Knowledge of computational geometry, 3D modeling, or animation pipelines. Familiarity with real-time recommendation systems or search indexing. Publications in peer-reviewed journals or conferences in relevant fields. Why Join Us? Be part of a dynamic, innovative team shaping the future of AI-powered creative tools. Work on impactful, large-scale projects that touch millions of users daily. Enjoy the benefits and resources of a leading global company with the agility of a startup environment. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About the Role: Join us as an ML/Agentic AI Engineering Intern to work on frontier problems in Generative AI, Agentic AI, and Optimization-focused ML, contributing to real-world intelligent systems powered by deep learning and language models. Responsibilities: Build, fine-tune, and deploy LLMs, multimodal models. Implement memory-augmented agents, chain-of-thought agents, or tool-using agents. Collaborate on end-to-end ML pipelines from preprocessing to deployment. Work with vector databases, RAG pipelines, and prompt engineering. Requirements: Strong background in Python, PyTorch/TensorFlow, HuggingFace. Experience with LLMs (OpenAI, Gemini, LLaMA, Claude). Experience with agentic frameworks (LangChain, Autogen, CrewAI). Good grasp of optimization techniques (gradient descent, metaheuristics, etc.). Familiarity with MLOps and deployment strategies is a plus. Time Period : Minimum 3 months (Can be extended based on candidate's performance) For Inquiry Contact: Jnan Yalla, Chief AI Officer, DataTeach.Ai Phone : +91-9150859936 Email : jnan@datateach.ai Job Types: Full-time, Fresher Pay: Up to ₹8,000.00 per month Benefits: Work from home Language: English (Required) Telugu (Preferred) Location: KPHB Colony, Hyderabad, Telangana (Preferred) Work Location: In person Expected Start Date: 04/08/2025

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About Connect Adobe Connect, within Adobe DALP BU is one of the best online webinar and training delivery platform. The product has a huge customer base which has been using it for many years. The product has evolved magnificently over a period of time ensuring it stay on top of the latest tech stack. It offers opportunity to look at plethora of technologies on both client and server side. What You’ll Do: Hands-on Machine Learning Engineer who will release models in production. Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining. Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting. Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap. Responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops. Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers. Handle project scope and risks with data, analytics, and creative problem-solving. What you require: Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques Experience with control systems, reinforcement learning problems, and contextual bandit algos. Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets. TensorFlow, R, scikit, pandas Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark Good to have - Git, Docker, Kubernetes GenAI, RAG pipelines a must have technology Cloud based solutions is good to have General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets. Ideal Candidate Profile: A total of 10+ years of experience, including at least 5 years in technical roles involving Data Science, Machine Learning, or Statistics. Masters or B.Tech in Computer Science/ Statistics Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously. Proven management experience with highly diverse and global teams. Demonstrated ability to influence technical and non-technical stakeholders. Proven ability to effectively manage in a high-growth, matrixed organization. Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases. An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road. A relentless pursuit of great customer experiences and continuous improvements to the product. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job Description The development engineer will be part of a team working on the development of the Illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solvers and well conversant in analyzing, architecting,, and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in the the fundamentals of machine learning and artificial intelligence. Should have hands on experience through ML lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands-on experience with data synthesis and processing for the purpose of training a model. Relevant work experience in the fields of computer vision and graphics, etc. Experience: 2-4 Years in ML Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Excited by AI/ML? Interested in crafting new innovative solutions using Machine Learning? The Document Cloud team, in Noida, is crafting PDF solutions spanning all surfaces - Web, Mobile, Desktop and Platform APIs, that processes billions of PDFs every month using ML, Deep-Learning and Generative AI at its core. As a part of this, we need expert individuals focusing on research and development of methods for processing huge amount of content, and can build mashups of Vision, Image Processing, NLP, generative models to solve sophisticated problems. What you get to do in this role: Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD preferred. 3+ years hands-on experience in either deep-learning models, Image processing, Vision and/or NLP. Ability to write efficient, clean, and reusable code in Python. Knowledge of C++. Broad Machine Learning experience – Data, Modelling, Metric, Analysis of Results. Experience in prompt-engineering and working with advanced-RAG systems. Exposure to Deep Learning - CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning. Hands-on coding in pyTorch or Tensorflow. Exposure in building solutions from scratch and writing maintainable code inside large existing codebases. Strong software development skills that encourage code reuse among engineers and researchers. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

🧑 💻 Sr. Full Stack Developer (Python + Angular + Cloud) 📍 Remote | Full-time Contract 📅 Duration: 6 Months - fixed contract - Can be extended based on performance or productivity 🕒 Working Hours: 12:30 PM – 9:30 PM IST 💰 Budget: ₹1 Lakh / Month - fixed 🚀 Start: Immediate 📈 Experience: 5–7 Years Key Responsibilities: Develop scalable backend services and APIs using Python (FastAPI/Flask/Django) Build responsive UIs and reusable components using Angular Deploy applications to cloud platforms, preferably Google Cloud Platform (GCP) Implement CI/CD pipelines (Jenkins, GitLab CI, CircleCI) Optimise database performance (PostgreSQL, MySQL, MongoDB) Ensure application security, compliance (GDPR/HIPAA), and high availability Collaborate with DevOps, UI/UX, and product teams for seamless delivery Monitor application performance with Prometheus, Grafana, or Datadog Tech Stack & Must-Have Skills: Backend: Python (FastAPI/Flask/Django), REST API Development Frontend: Angular, JavaScript Cloud: GCP preferred (AWS/Azure also acceptable) Databases: PostgreSQL, MySQL, MongoDB Tools: Git, Jenkins, GitLab CI, Docker, Kubernetes Security: OAuth2, JWT, data protection best practices Good to Have: Async programming (asyncio, Aiohttp) Exposure to big data tools (Spark, Hadoop) Familiarity with ML libraries (TensorFlow, PyTorch)

About Exela Exela Technologies, Inc. (“Exela”) is a location agnostic, global business process automation ("BPA") leader combining industry-specific and industry-agnostic enterprise software and solutions with decades of experience. Our BPA suite of solutions are deployed in banking, healthcare, insurance and other industries to support mission critical environments. Exela is a leader in workflow automation, attended and unattended cognitive automation, digital mail rooms, print communications, and payment processing with deployments across the globe. Exela partners with customers to improve user experience and quality through operational efficiency. Exela serves over 3,700 customers across more than 50 countries, through a secure, cloud-enabled global delivery model. We are 22,000 employees strong across the Americas, Europe and Asia. Our customer list includes 60% of the Fortune® 100, along with many of the world’s largest retail chains, banks, law firms, healthcare insurance payers and providers and telecom companies. Why Exela? A global, public company (Nasdaq: XELA), the people behind Exela are as important as the company itself. Our The team's extensive experience across multiple industry verticals gives us a better sense of our clients' needs. That begins with teams comprised of individuals from diverse backgrounds with different perspectives. Join our global team as we create advancements in business process automation solutions that impact our client’s mission-critical operations across the industries they serve. The diversity of our workforce and their inspiring ideas resonate throughout all that we do – don’t just read about digital innovation, be part of the revolution! We are seeking a highly skilled and experienced Senior Lead Engineer to join our dynamic team. In this role, you will play a crucial part in designing, implementing, and supporting F5 Networks' solutions for our internal / external clients. Designation: Data Science Engineer Experience: 5+ years. Desired Skills and Experience: We are seeking a skilled and innovative Data Science Engineer to join our dynamic team. You will be responsible for designing, developing, and deploying scalable data science solutions to address real-world problems. The ideal candidate is experienced in building end-to-end machine learning pipelines, integrating data science solutions into production systems, and working collaboratively with cross-functional teams to derive business value from data. Key Responsibilities: Data Engineering : Develop and maintain ETL pipelines to pre-process and clean data from various sources. Design and optimize data storage solutions for analytics and machine learning use cases. Collaborate with data engineers to ensure seamless data flow. Machine Learning & Analytics : Develop, train, and deploy machine learning models to solve business challenges. Conduct exploratory data analysis (EDA) to derive actionable insights. Monitor and retrain models to ensure performance and relevance over time. Production Deployment : Design scalable, reliable, and efficient systems to deploy machine learning models into production environments. Implement APIs or integrate models into existing business workflows. Collaboration & Communication : Work closely with product managers, data analysts, and business stakeholders to align technical solutions with business objectives. Present findings, insights, and solutions to both technical and non-technical audiences. Continuous Improvement: Stay up-to-date with advancements in data science, machine learning, and big data technologies. Conduct peer code reviews and ensure adherence to best practices. Required: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 5+ years of experience in data science, machine learning, or related roles. Experience in Healthcare domain project is must. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Expertise in SQL and working with relational databases. Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). Familiarity with version control tools (e.g., Git). Knowledge of containerization tools like Docker and orchestration tools like Kubernetes is a plus. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of data governance, security, and compliance requirements. Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of deep learning techniques and natural language processing (NLP). Strong understanding of MLOps and model lifecycle management. Proficiency in data visualization tools (e.g., Tableau, Power BI, Matplotlib).

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.,

Hiring for One of Our Client Full Time Opportunity Work from Office Location : Hyderabad Notice : Immediate or 15 days Job Description Summary: Develop AI-driven data conversion and validation solutions Strong expertise in Python, SQL, AI/ML (TensorFlow, PyTorch), and data modeling Hands-on with databases (SQL Server, MongoDB), and data mapping/conversion Work closely with cross-functional teams including AI engineers and business analysts Preferred: Financial services background, experience with Azure AI services, DevOps tools Mandatory Skills – Data Scientist (8+ Yrs, Hyderabad) Programming Languages Python (Strong expertise) SQL 2.AI/ML Frameworks TensorFlow or PyTorch 3.Data Mapping & Code Generation Experience with AI-driven data mapping Automated code generation using AI models 4.Data Validation & Code Conversion AI-based validation techniques Understanding of AI algorithms for code conversion 5.Databases SQL Server MongoDB 6.Core Data Science Skills Strong problem-solving and analytical abilities Experience with model development and data pipelines Ability to analyze complex datasets and deliver insights 7.Collaboration Ability to work with cross-functional teams including AI engineers, developers, analysts 8.Experience Requirement Minimum 5+ years relevant experience (with 8+ years total experience preferred) Interested candidates kindly forward your resume to swetha.s@thompsonshr.com

Job Description We are seeking an experienced and highly motivated AI/ML Lead Developer to lead our team in the development of advanced AI/ML solutions. The ideal candidate will have a strong focus on natural language processing (NLP) and NLU related work, with secondary focus on computer vision and deep learning. Experience with chatbots development would be a plus. Location- Chandigarh, Nagpur Exp.- 4+ yrs. Key Responsibilities: Lead the development and implementation of advanced AI/ML algorithms for natural language processing, computer vision, and deep learning tasks Collaborate with cross-functional teams to understand business requirements and develop solutions Mentor and manage a team of AI/ML developers, guiding them in the development of high-quality, scalable AI/ML models Experiment with new AI/ML techniques and technologies to improve performance and scalability Stay up-to-date with the latest research in AI/ML, particularly in the areas of NLP, computer vision, and deep learning Qualifications: 4+ years of experience in AI/ML development with a strong focus on NLP related work, and secondary focus on computer vision and deep learning Experience leading and managing a team of AI/ML developers Strong programming skills in Python and experience with TensorFlow, PyTorch, Keras, or similar frameworks Experience with NLP libraries such as NLTK, spaCy, HuggingFace and computer vision libraries like OpenCV Working experience with GPT3, BERT models Experience with deep learning architectures such as CNN, RNN, GAN and LSTM Strong understanding of machine learning concepts and techniques Experience with cloud-based AI/ML platforms such as AWS or Google Cloud Experience with chatbot development is a plus Excellent communication and leadership skills Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit http://www.smartdatainc.com If Interested, Kindly share your Updated Resume along with below details- Total Experience: Relevant Experience: Tech Stack: Current Company: Current Location: Home Location: Reason of Change: Number of Job Changes: Current Salary: Expected Salary: Notice Period: Contact No.: Alternative contact no: Mail ID: Ready to Relocate Mohali/Nagpur: Y/N Ready to Work From Office: Y/N Please share your updated CV on deepti.vyas@smartdatainc.net or call us on 9664338930. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,400,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

As an AI/ML Engineer at our growing company, you will play a crucial role in leading the development of an AI-powered customer support solution. Your primary responsibility will be to design, develop, and deploy a human-like conversational AI tool. This presents a unique opportunity for you to take ownership of the entire AI lifecycle, all while contributing to a groundbreaking product within a lean and agile environment. Your key responsibilities will involve AI and Machine Learning Development, where you will design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI. Moreover, you will focus on building models that can adapt to regional dialects, informal language, and varying emotional tones, as well as developing and optimizing a self-training module that learns from human interactions. In the realm of Software Development, you will be tasked with designing and developing APIs for seamless voice-based interaction and system integration. Additionally, you will implement scalable and efficient backend architecture to support AI functionalities and construct front-end interfaces or dashboards for training, monitoring, and analytics purposes. Integration is another critical aspect of your role, where you will be responsible for integrating the AI tool with customer platforms such as CRMs, telephony systems, and email support tools. It will also be essential to ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities. Your role will also involve Testing and Optimization, where you will conduct end-to-end testing to ensure high-quality performance and robustness. You will further optimize algorithms for real-time response and low latency to enhance user experience. Project Ownership will be a significant part of your responsibilities, requiring you to manage data preparation and processing pipelines. Collaborating with stakeholders to prioritize features for a minimum viable product (MVP) while staying up-to-date with the latest AI/ML tools and frameworks for continuous improvement will also be essential. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Your AI/ML Expertise should include proficiency in NLP frameworks, experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn, and knowledge of transfer learning and fine-tuning pre-trained models. Strong Python skills, familiarity with JavaScript or similar languages, experience with RESTful APIs, knowledge of databases, and basics of DevOps are also required. If you have worked on conversational AI or voice-based interaction systems, familiarity with telephony tools, hands-on experience in deploying AI solutions at scale, or experience in handling customer-facing AI tools for industries like e-commerce, banking, or insurance, it would be considered a plus. Your success in this role will be driven by your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.,

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.,

#Urgent_Opening_for Canvendor #Hiring: AI Engineer (4+ Years Experience) | Chennai | Immediate Joiners Preferred Location: Chennai, India Experience: 4+ Years Notice period: Immediate to 30days Shift Timing: US/UK shifts Skills Highlighted: Artificial Intelligence, Machine Learning, Deep Learning, NLP, LLM Key Requirements: -Four or more years of experience in applying AI to practical and comprehensive technology solutions -Experience with Generative AI, LLMs, ML, Deep Learning, TensorFlow, Python, NLP -Experience in program leadership, governance, and change enablement -Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns -Experience in REST API development, NoSQL database design, and RDBMS design and optimizations If interested kindly share your updated CV to anushab@canvendor.com

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.,

Job Title: Faculty – Cyber Security & Machine Learning Location: Mira Road, Thane Position Type: Visiting Faculty Job Summary: We are seeking an experienced and passionate faculty member to teach and mentor undergraduate students in the field of Cyber Security and Machine Learning. The selected candidate will be responsible for delivering course content, designing assessments, mentoring students on practical implementations, and driving academic excellence in the subjects Ethical Hacking and Machine Learning I, as outlined by the University of Mumbai syllabus. Key Responsibilities: Academic Delivery ● Conduct theory and practical sessions for: ○ Ethical Hacking (including network security, cryptography, web security, hardware security) ○ Machine Learning I (including supervised & unsupervised learning, ensemble techniques, SVM, dimensionality reduction) ● Create lesson plans, lecture notes, and assessment tools aligned with syllabus ● Use tools such as Cisco Packet Tracer, Kali Linux, Metasploit, SQLMap, Wireshark, Jupyter Notebooks, Scikit-learn, and others during practical sessions ● Assign and evaluate laboratory work, tutorials, and case studies ● Encourage students to use digital tools and platforms (e.g., DVWA, OWASP, Kaggle, UCI datasets) Assessment & Evaluation ● Conduct internal assessments as per academic guidelines ● Prepare, administer, and grade exams, assignments, and projects ● Maintain timely and accurate records of grades and student progress Qualifications & Experience: Minimum Qualifications: ● Master’s degree in Computer Science / Cyber Security / Information Technology / Data Science / Artificial Intelligence or equivalent Experience: ● Minimum 2–5 years of teaching or industry experience in ethical hacking, information security, or applied machine learning Preferred Skills: ● Hands-on with penetration testing tools (e.g., Wireshark, John the Ripper, Metasploit) ● Familiarity with ML libraries: Scikit-learn, TensorFlow, etc. ● Experience with classroom and lab-based instruction ● Strong communication and mentoring skills Desirable Certifications: ● CEH (Certified Ethical Hacker) ● CompTIA Security+ ● Offensive Security Certified Professional (OSCP) ● Machine Learning or AI certifications (Coursera, edX, etc.) Remuneration: Rs. 2000 per hour (Negotiable)

As a Machine Learning/AI Engineer, your primary role will involve designing, developing, and implementing machine learning models and AI solutions using Python. You will collaborate closely with various teams to comprehend business requirements, pinpoint opportunities for leveraging machine learning and AI technologies, and create solutions to tackle complex challenges. Working with extensive datasets, you will apply statistical analysis and machine learning techniques to extract valuable insights and construct scalable and robust algorithms. Your key responsibilities will encompass understanding business problems in collaboration with stakeholders, collecting and preprocessing large datasets from diverse sources, developing machine learning models and AI algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, or similar, engineering features from raw data to enhance model performance and interpretability, training, validating, and fine-tuning machine learning models utilizing appropriate evaluation metrics and validation techniques, deploying machine learning models into production environments with a focus on scalability, reliability, and performance, monitoring model performance in production, conducting periodic model retraining, and addressing any arising issues, documenting code, algorithms, and processes to facilitate knowledge sharing and maintainability, staying informed about the latest advancements in machine learning and AI research, and exploring innovative solutions to enhance existing systems. Ideally, you should possess over 3 years of demonstrated experience in developing and deploying machine learning models and AI solutions using Python, with a preference for familiarity with deep learning frameworks. Proficiency in Python programming and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy is expected. A strong grasp of statistical concepts, linear algebra, calculus, and probability theory is essential. Furthermore, effective problem-solving skills, excellent communication abilities to interact with cross-functional teams and stakeholders, meticulous attention to detail in data analysis and model development, and a willingness to adapt to new technologies and changing project requirements are highly valued. Exposure to NetSuite cloud ERP/Platform is considered an added advantage. This is a full-time position offering health insurance and leave encashment benefits. The work schedule involves fixed shifts from Monday to Friday. Applicants are required to have a minimum of 3 years of experience in deep learning and be located in Hyderabad, Telangana, with work being conducted in person.,

As an accomplished VP/Director of Data Scientist with over 15 years of experience, you will play a crucial role in leading our Data Science team. Your responsibilities will include providing strategic leadership in developing and executing the organization's data science strategy, overseeing the design and deployment of sophisticated predictive models, ensuring data governance and compliance, identifying and implementing emerging technologies, collaborating with cross-functional teams, and serving as a thought leader in the field of data science. Your key responsibilities will involve driving innovation and excellence in all data-driven initiatives, developing and deploying advanced models using cutting-edge statistical and machine learning techniques, implementing robust data governance frameworks, identifying and implementing emerging technologies, leading cross-functional teams, representing the organization at industry conferences, building and leading a high-performing team, preparing comprehensive reports and presentations, and continuously seeking opportunities to enhance analytical capabilities. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a Master's or PhD degree being highly preferred. You should have over 15 years of hands-on experience in data science, particularly in the banking or financial services industry. Proficiency in programming languages like Python, R, or SQL, experience with data visualization tools such as Tableau or Power BI, expertise in machine learning frameworks like scikit-learn or TensorFlow, and strong analytical and problem-solving skills are essential requirements. Preferred qualifications include a comprehensive understanding of banking processes, products, and regulatory requirements, relevant certifications in data science or analytics, extensive experience in project management, and strong leadership skills with a strategic mindset and attention to detail. If you are a visionary leader with a passion for data science and a proven track record of strategic leadership in the banking sector, we invite you to join our team and drive innovation, excellence, and continuous improvement in our data analytics capabilities.,

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.,

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (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). ✔ 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 resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 31st July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Experience : 2-7 Years Fresh Graduates with good knowledge in AI Models Tensorflow / Tensflow Lite will be considered for trainee positions. Required Skills: • Knowledge of anomaly detection techniques (statistical models, unsupervised learning) • Experience in integrating AI models (optimization for edge devices, TensorFlow Lite , etc.) • Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN) • Experience with Python libraries (TensorFlow, PyTorch, scikit-learn, etc.) • Understanding of time-series data processing (experience with LSTM, GRU, etc.) • Sensor data processing (noise reduction, feature extraction, preprocessing techniques) • Data visualization and analysis skills (Pandas, Matplotlib, Seaborn) • AI model optimization and evaluation methods (cross-validation, hyperparameter tuning)

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.,