7754 Tensorflow Jobs - Page 14

Your potential has a place here with TTEC’s award-winning employment experience.As a Principal Data Scientist working onsite in Hyderabad, India, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do In this role, you'll work on everything from data ingestion and model training to deployment and dashboarding using BigQuery, VertexAI, PySpark, and advanced ML frameworks. You'll report to Director, Data Engineering During a Typical Day, You’ll Prepare and manage training data for machine learning models using BigQuery and GCS. Design and optimize complex SQL queries for efficient data processing and preparation. Build, deploy, and support end-to-end machine learning systems, from data ingestion to dashboarding. Develop and maintain machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn. Implement MLOps best practices to streamline model training, deployment, and monitoring. Utilize Google Cloud tools such as Vertex AI, BigQuery, and Vertex AI Pipelines for ML workflows. Lead ML projects from conception to deployment, ensuring documentation and collaboration via JIRA and Confluence. What You Bring To The Role Strong knowledge of DevOps/MLOps best practices. Experience with machine learning training, prediction, and deployment workflows. Proficiency in Python and R, with experience using multiple ML libraries. Good understanding of internal business data domains (Empower, Oracle, Kronos, Employee, NICE). Familiarity with Contact Center Switch data. Ability to write clear, concise code and maintain strong documentation throughout the ML lifecycle. Excellent communication, collaboration, and problem-solving skills; able to work across cross-functional teams and build relationships. What You Can Expect Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Ask us about our paid time off (PTO) and wellness and healthcare benefits And yes... a great compensation package and performance bonus opportunities, benefits you'd expect and maybe a few that would pleasantly surprise you (like tuition reimbursement) About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. Primary Location India-Telangana-Hyderabad

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on development —perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies. Key Responsibilities: Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment. Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaborate with sales and business development teams to create technical proposals , including solution design , architecture diagrams , and high-level estimates for Sales Qualified Leads (SQLs). Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices. Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases. Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). Apply statistical techniques to feature engineering, model evaluation, and performance optimization. Ensure adherence to code quality, testing, CI/CD, and documentation standards. Stay current with AI/ML advancements and proactively propose innovative solutions. Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture. Required skills and qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 7+ years of hands-on experience in AI/ML model development and deployment. Proven experience in leading technical teams and delivering production-grade AI/ML solutions. Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models. Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations. Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn. Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs , and building GenAI solutions. Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone). Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them. Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines. Exposure to cloud platforms such as AWS, GCP, or Azure. Excellent analytical thinking, problem-solving, and communication skills.

Position Summary... What you'll do... Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. At People.AI , we help, support, and empower the Walmart’s HR function with AI and GenAI solutions to improve productivity , harnessing the opportunities for growth, focusing on well-being, and cultivating cultures of belonging for all Walmart's associates. People.AI is a horizontal data science team supporting People Tech and Services across a multitude of use-cases and business domains. People.AI strategy aims to empower the people business and associates by converting Walmart’s people data, business processes, knowledge, and HR subject matter expertise into different productivity experiences like knowledge search and Q&A, data analytics and insights, actions, and recommendations etc. The People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally. The People.AI team is seeking a highly skilled and experienced Principal Data Scientist. In this individual contributor role, you need to possess excellent hands-on experience as well as a deep passion for AI/ML product development. In this role, you will build an LLM-powered intelligent experience within a chatbot or business application to enhance associate experience and productivity. This role involves development of innovative GenAI/AI systems on an enterprise scale, implementing cutting-edge Generative AI technologies, and collaborating with a highly synergized team of data scientists, machine learning engineers, software engineers. Also, you will play a pivotal role in shaping the technical direction of our products and systems with responsibilities including leading the creation and maintenance of technical architecture, aligning it with business goals and scalability requirements, and architecting complex AI/ML systems to ensure robustness, responsible-AI, and scalability needs are met. Additionally, the role involves providing hands-on technical guidance and mentorship to junior data scientists, machine learning engineers, collaborating closely with cross-functional teams, and establishing and enforcing coding standards through thorough code reviews. About Team: The EBS People Technology organization supports the successful deployment and adoption of new People technology across the enterprise. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience. Enterprise Business Services (EBS) @ IDC Bangalore and Chennai in India are focused on data driven, highly optimized products and implementations in the areas of Finance, Procurement, Human Resources and Retail business functions for multiple Walmart markets with open stack technologies and other ERP tools. What you'll do: This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals. Some of this role’s key responsibilities include, but not limited to: Collaborate with a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions Work in an Agile practice in a highly collaborative environment with a multidisciplinary team. Design end-to-end system architecture for GenAI/AI/ML and data intensive applications Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences. Mentor team of data scientists to develop their skills and business understanding Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice What you’ll bring: You have 13+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. You have extensive experience in production-grade python code development. You can execute our trustworthy AI/ML practice with stakeholders across the enterprise. You can effectively mentor junior data scientists and guide them through ambiguous technical problems on the project You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. You have extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems You have experience in developing chatbots/ NLP/ recommendation-engine systems You are excited about building distributed machine learning systems at scale in production You are familiar with version control using Git in collaboration settings You have experience at writing high-performing production-quality code in Python You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes You are research driven, thorough and detail oriented You believe in the importance of establishing work standards and leveraging automations You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others Bonus Skills: Experience developing or fine-tuning large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization. Experience in building multi-modal GenAI action agents. Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2187118

Unique World Robotics is looking for a passionate and skilled AI & Machine Learning Trainer to lead impactful education initiatives in Artificial Intelligence. If you're driven by innovation and committed to empowering learners, this role offers a unique opportunity to make a real difference in the world of AI education. Key Responsibilities: Design and deliver comprehensive AI/ML training programs for students and professionals Mentor learners on real-world projects and guide them through practical applications Lead workshops, seminars, and events to promote AI literacy Contribute to curriculum development and content enhancement Stay updated with emerging trends in AI/ML and integrate them into training modules Requirements: Master’s degree with specialization in Artificial Intelligence, or Bachelor’s in Engineering/Technology/Computer Science with relevant AI expertise Minimum 2 years of experience in delivering AI/ML training or mentoring AI-related projects Proficiency in Python and AI/ML tools such as TensorFlow, Keras, scikit-learn, and OpenCV Strong communication, facilitation, and mentoring skills Willingness to deliver training both online and onsite as per project requirements 

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Evaluate and recommend new technologies and tools to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Pune office. - A 15 years full time education is required.

We are seeking a motivated intern to support our Machine Learning and AI projects. The ideal candidate should have strong Python programming skills and a basic understanding of ML/AI concepts. Requirements: Proficiency in Python Familiarity with libraries like NumPy, pandas, scikit-learn Knowledge of machine learning fundamentals Good problem-solving skills Preferred: Experience with TensorFlow or PyTorch Coursework or projects in ML/AI

Role : Sr. AI/ML Engineer Years of experience: 5+ years (with minimum 4 years of relevant experience) Work mode: WFO- Chennai (mandate) Type: FTE Notice Period: Immediate to 15 days ONLY Key skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API JD: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines

Job Title: AI/ML Intern. Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Optimspace.in Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. Responsibilities Design and implement the complete AI Models following provided specifications. Create and integrate AI modules. Design and optimize database schema and queries. Ensure system security, especially for sensitive identity verification data. Document code, APIs, and system architecture. Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field. Proficiency in Python or R for data analysis and modeling. Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred). familiarity with database design and SQL (particularly PostgreSQL) Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid). Hands-on experience in data science projects. Certificate of Internship & Letter of Recommendation. Opportunity to build a strong portfolio of data science models and applications. Potential for full-time employment based on performance. How to Apply Submit your application with the subject line "AI/ML Intern Application." 📅 Deadline: 18th July 2025 Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Application Manager - APP - V Exp : 6 + years Client Location : Hyderabad NP : Immediate Joiners Skills Proven ability to engineer, test, and deploy complex applications into a cloud environment. Strong knowledge of integrating MS Office, Google Chrome, Adobe Acrobat, Accessibility tools, etc. into various physical and virtual platforms. Ability to work independently and as part of a team. Proven experience in developing and implementing automation solutions and hands on experience with AI technologies. Strong programming skills in languages such as Python, Java, or C++. Extensive Experience with Group Policy Object (GPOs) and Microsoft Active Directory (AD), user personalization such DEM. Understanding of Application Virtualization technologies such as Microsoft App-V and Numecent Experience with AI frameworks and tools such as Copilot, TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms and techniques. Excellent problem-solving skills and the ability to work independently and as part of a team. Experience with cloud platforms such as Azure is a plus. Preferred Qualifications Experience with application engineering, testing, packaging and deployment. Proficiency in Microsoft Azure Cloud, App-V & Numecent application virtualization Expertise in Active Directory, Scripting and Group Policy Objects. Experience with natural language processing (NLP) and computer vision technologies. Familiarity with DevOps practices and GitLab tools for continuous integration and deployment. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field.

Lexmark is now a proud part of Xerox, bringing together two trusted names and decades of expertise into a bold and shared vision. When you join us, you step into a technology ecosystem where your ideas, skills, and ambition can shape what comes next. Whether you’re just starting out or leading at the highest levels, this is a place to grow, stretch, and make real impact—across industries, countries, and careers. From engineering and product to digital services and customer experience, you’ll help connect data, devices, and people in smarter, faster ways. This is meaningful, connected work—on a global stage, with the backing of a company built for the future, and a robust benefits package designed to support your growth, well-being, and life beyond work. Responsibilities : A Data Engineer with AI/ML focus combines traditional data engineering responsibilities with the technical requirements for supporting Machine Learning (ML) systems and artificial intelligence (AI) applications. This role involves not only designing and maintaining scalable data pipelines but also integrating advanced AI/ML models into the data infrastructure. The role is critical for enabling data scientists and ML engineers to efficiently train, test, and deploy models in production. This role is also responsible for designing, building, and maintaining scalable data infrastructure and systems to support advanced analytics and business intelligence. This role often involves leading mentoring junior team members, and collaborating with cross-functional teams. Key Responsibilities: Data Infrastructure for AI/ML: Design and implement robust data pipelines that support data preprocessing, model training, and deployment. Ensure that the data pipeline is optimized for high-volume and high-velocity data required by ML models. Build and manage feature stores that can efficiently store, retrieve, and serve features for ML models. AI/ML Model Integration: Collaborate with ML engineers and data scientists to integrate machine learning models into production environments. Implement tools for model versioning, experimentation, and deployment (e.g., MLflow, Kubeflow, TensorFlow Extended). Support automated retraining and model monitoring pipelines to ensure models remain performant over time. Data Architecture & Design Design and maintain scalable, efficient, and secure data pipelines and architectures. Develop data models (both OLTP and OLAP). Create and maintain ETL/ELT processes. Data Pipeline Development Build automated pipelines to collect, transform, and load data from various sources (internal and external). Optimize data flow and collection for cross-functional teams. MLOps Support: Develop CI/CD pipelines to deploy models into production environments. Implement model monitoring, alerting, and logging for real-time model predictions. Data Quality & Governance Ensure high data quality, integrity, and availability. Implement data validation, monitoring, and alerting mechanisms. Support data governance initiatives and ensure compliance with data privacy laws (e.g., GDPR, HIPAA). Tooling & Infrastructure Work with cloud platforms (AWS, Azure, GCP) and data engineering tools like Apache Spark, Kafka, Airflow, etc. Use containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering deployments. Team Collaboration & Mentorship Collaborate with data scientists, analysts, product managers, and other engineers. Provide technical leadership and mentor junior data engineers. Core Competencies Data Engineering: Apache Spark, Airflow, Kafka, dbt, ETL/ELT pipelines ML/AI Integration: MLflow, Feature Store, TensorFlow, PyTorch, Hugging Face GenAI: LangChain, OpenAI API, Vector DBs (FAISS, Pinecone, Weaviate) Cloud Platforms: AWS (S3, SageMaker, Glue), GCP (BigQuery, Vertex AI) Languages: Python, SQL, Scala, Bash DevOps & Infra: Docker, Kubernetes, Terraform, CI/CD pipelines Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or related field. Strong understanding of data modeling, ETL/ELT concepts, and distributed systems. Experience with big data tools and cloud platforms. Soft Skills: Strong problem-solving and critical-thinking skills. Excellent communication and collaboration abilities. Leadership experience and the ability to guide technical decisions. How to Apply ? Are you an innovator? Here is your chance to make your mark with a global technology leader. Apply now! Global Privacy Notice Lexmark is committed to appropriately protecting and managing any personal information you share with us. Click here to view Lexmark's Privacy Notice.

Lexmark is now a proud part of Xerox, bringing together two trusted names and decades of expertise into a bold and shared vision. When you join us, you step into a technology ecosystem where your ideas, skills, and ambition can shape what comes next. Whether you’re just starting out or leading at the highest levels, this is a place to grow, stretch, and make real impact—across industries, countries, and careers. From engineering and product to digital services and customer experience, you’ll help connect data, devices, and people in smarter, faster ways. This is meaningful, connected work—on a global stage, with the backing of a company built for the future, and a robust benefits package designed to support your growth, well-being, and life beyond work. Responsibilities : A Senior Data Engineer with AI/ML focus combines traditional data engineering responsibilities with the technical requirements for supporting Machine Learning (ML) systems and artificial intelligence (AI) applications. This role involves not only designing and maintaining scalable data pipelines but also integrating advanced AI/ML models into the data infrastructure. The role is critical for enabling data scientists and ML engineers to efficiently train, test, and deploy models in production. This role is also responsible for designing, building, and maintaining scalable data infrastructure and systems to support advanced analytics and business intelligence. This role often involves leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams. Key Responsibilities: Data Infrastructure for AI/ML: Design and implement robust data pipelines that support data preprocessing, model training, and deployment. Ensure that the data pipeline is optimized for high-volume and high-velocity data required by ML models. Build and manage feature stores that can efficiently store, retrieve, and serve features for ML models. AI/ML Model Integration: Collaborate with ML engineers and data scientists to integrate machine learning models into production environments. Implement tools for model versioning, experimentation, and deployment (e.g., MLflow, Kubeflow, TensorFlow Extended). Support automated retraining and model monitoring pipelines to ensure models remain performant over time. Data Architecture & Design Design and maintain scalable, efficient, and secure data pipelines and architectures. Develop data models (both OLTP and OLAP). Create and maintain ETL/ELT processes. Data Pipeline Development Build automated pipelines to collect, transform, and load data from various sources (internal and external). Optimize data flow and collection for cross-functional teams. MLOps Support: Develop CI/CD pipelines to deploy models into production environments. Implement model monitoring, alerting, and logging for real-time model predictions. Data Quality & Governance Ensure high data quality, integrity, and availability. Implement data validation, monitoring, and alerting mechanisms. Support data governance initiatives and ensure compliance with data privacy laws (e.g., GDPR, HIPAA). Tooling & Infrastructure Work with cloud platforms (AWS, Azure, GCP) and data engineering tools like Apache Spark, Kafka, Airflow, etc. Use containerization (Docker, Kubernetes) and CI/CD pipelines for data engineering deployments. Team Collaboration & Mentorship Collaborate with data scientists, analysts, product managers, and other engineers. Provide technical leadership and mentor junior data engineers. Core Competencies Data Engineering: Apache Spark, Airflow, Kafka, dbt, ETL/ELT pipelines ML/AI Integration: MLflow, Feature Store, TensorFlow, PyTorch, Hugging Face GenAI: LangChain, OpenAI API, Vector DBs (FAISS, Pinecone, Weaviate) Cloud Platforms: AWS (S3, SageMaker, Glue), GCP (BigQuery, Vertex AI) Languages: Python, SQL, Scala, Bash DevOps & Infra: Docker, Kubernetes, Terraform, CI/CD pipelines Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or related field. Strong understanding of data modeling, ETL/ELT concepts, and distributed systems. Experience with big data tools and cloud platforms. Soft Skills: Strong problem-solving and critical-thinking skills. Excellent communication and collaboration abilities. Leadership experience and the ability to guide technical decisions. How to Apply ? Are you an innovator? Here is your chance to make your mark with a global technology leader. Apply now! Global Privacy Notice Lexmark is committed to appropriately protecting and managing any personal information you share with us. Click here to view Lexmark's Privacy Notice.

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: 18th 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! 🚀

Required Qualifications: Bachelor’s degree in computer science, Machine Learning, Data Science, or a related field Total years of experience 5+ years. Healthcare Domain preferred Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 3+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 5+ years of experience developing in a cloud environment (AWS, GCS, Azure) 3+ years of experience with Github, Actions, CI/CD, and source control 4+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions

About the Company ZeTheta Algorithms Private Limited (www.zetheta.com) is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning. Responsibilities Design and implement the complete AI Models following provided specifications Develop both frontend and backend components of the platform Create and integrate AI modules Design and optimize database schema and queries Ensure system security, especially for sensitive identity verification data Deploy the solution using zero-cost cloud services Document code, APIs, and system architecture Complete the entire project within the 2 month timeline Qualifications A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field. Required Skills Strong programming skills in Python and JavaScript Experience with React.js for frontend development Knowledge of FastAPI or similar Python web frameworks Familiarity with database design and SQL (particularly PostgreSQL) Understanding of basic machine learning concepts Self-motivated with ability to work independently Preferred Skills Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers) Familiarity with computer vision techniques using OpenCV Knowledge of natural language processing concepts Sound knowledge of facial recognition or emotion detection systems Understanding of identity verification methodologies Docker containerization experience Prior work with cloud deployment (AWS) Who Should Apply? Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, options for 1,2,3,4 or 6 months. Type: Unpaid

𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧: AI/ML Engineer 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Noida 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 6 to 8 Years 𝐉𝐨𝐢𝐧𝐢𝐧𝐠: Immediate Are you a problem solver with a deep understanding of machine learning systems and a passion for driving innovation through AI? We are looking for a skilled AI/ML Engineer to join our team in Noida and contribute to high-impact projects across various domains. 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 Design, develop, and deploy end-to-end machine learning models Work on deep learning, natural language processing, and computer vision projects Collaborate with data scientists, product managers, and backend engineers to integrate models into scalable systems Optimize model performance using MLOps pipelines, cloud platforms (AWS/GCP), and containerized environments (Docker, Kubernetes) Stay updated with the latest in AI research and tools, applying innovative approaches to real-world problems 𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 6–8 years of experience in AI/ML development Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn Sound knowledge of supervised/unsupervised learning, model evaluation, feature engineering, and data preprocessing Hands-on experience with cloud services (AWS/GCP/Azure) and CI/CD pipelines Solid understanding of algorithms, data structures, and system design principles 𝐆𝐨𝐨𝐝 𝐭𝐨 𝐇𝐚𝐯𝐞 Experience with Lang Chain, LLMs, or AI agents Familiarity with streaming data, real-time inference, or Edge AI Exposure to MLflow, Kubeflow, or other MLOps tools Apply Now: Send your resume to: palak.sharma@mobcoder.com

:-Job Title: Machine Learning Engineer – 2 Location: Onsite – Bengaluru, Karnataka, India Experience Required: 3 – 6 Years Compensation: ₹20 – ₹25 LPA Employment Type: Full-Time Work Mode: Onsite Only (No Remote) About the Company:- A fast-growing Y Combinator-backed SaaS startup is revolutionizing underwriting in the insurance space through AI and Generative AI. Their platform empowers insurance carriers in the U.S. to make faster, more accurate decisions by automating key processes and enhancing risk assessment. As they expand their AI capabilities, they’re seeking a Machine Learning Engineer – 2 to build scalable ML solutions using NLP, Computer Vision, and LLM technologies. Role Overview:- As a Machine Learning Engineer – 2, you'll take ownership of designing, developing, and deploying ML systems that power critical features across the platform. You'll lead end-to-end ML workflows, working with cross-functional teams to deliver real-world AI solutions that directly impact business outcomes. Key Responsibilities:- Design and develop robust AI product features aligned with user and business needs Maintain and enhance existing ML/AI systems Build and manage ML pipelines for training, deployment, monitoring, and experimentation Deploy scalable inference APIs and conduct A/B testing Optimize GPU architectures and fine-tune transformer/LLM models Build and deploy LLM applications tailored to real-world use cases Implement DevOps/ML Ops best practices with tools like Docker and Kubernetes Tech Stack & Tools Machine Learning & LLMs GPT, LLaMA, Gemini, Claude, Hugging Face Transformers PyTorch, TensorFlow, Scikit-learn LLMOps & MLOps Langchain, LangGraph, LangFlow, Langfuse MLFlow, SageMaker, LlamaIndex, AWS Bedrock, Azure AI Cloud & Infrastructure AWS, Azure Kubernetes, Docker Databases MongoDB, PostgreSQL, Pinecone, ChromaDB Languages Python, SQL, JavaScript What You’ll Do Collaborate with product, research, and engineering teams to build scalable AI solutions Implement advanced NLP and Generative AI models (e.g., RAG, Transformers) Monitor and optimize model performance and deployment pipelines Build efficient, scalable data and feature pipelines Stay updated on industry trends and contribute to internal innovation Present key insights and ML solutions to technical and business stakeholders Requirements Must-Have:- 3–6 years of experience in Machine Learning and software/data engineering Master’s degree (or equivalent) in ML, AI, or related technical fields Strong hands-on experience with Python, PyTorch/TensorFlow, and Scikit-learn Familiarity with ML Ops, model deployment, and production pipelines Experience working with LLMs and modern NLP techniques Ability to work collaboratively in a fast-paced, product-driven environment Strong problem-solving and communication skills Bonus Certifications such as: AWS Machine Learning Specialty AWS Solution Architect – Professional Azure Solutions Architect Expert Why Apply Work directly with a high-caliber founding team Help shape the future of AI in the insurance space Gain ownership and visibility in a product-focused engineering role Opportunity to innovate with state-of-the-art AI/LLM tech Be part of a fast-moving team with real market traction 📍 Note: This is an onsite-only role based in Bengaluru. Remote work is not available. Skills: computer vision,azure,llms,llms and modern nlp techniques,tensorflow,javascript,aws,ml ops,docker,python, pytorch/tensorflow, and scikit-learn,ml, ai,python,scikit-learn,software/data engineering,sql,machine learning,mlops,llm technologies,nlp,mongodb,pytorch,kubernetes,llm,postgresql

Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. We are seeking a hands-on Applied Machine Learning Engineer to join our team and lead the development of ML-driven insights from historical data in our contracts management, assets management and common data platform. This individual will work closely with our data engineering and product teams to design, develop, and deploy scalable machine learning models that can parse, learn from, and generate value from both structured and unstructured contract data. You will use BigQuery and its ML capabilities (including SQL and Python integrations) to prototype and productionize models across a variety of NLP and predictive analytics use cases. Your work will be critical in enhancing our platform’s intelligence layer, including search, classification, recommendations, and risk detection. What your day will look like Key Responsibilities Model Development: Design and implement machine learning models using structured and unstructured historical contract data to support intelligent document search, clause classification, metadata extraction, and contract risk scoring. BigQuery ML Integration: Build, train, and deploy ML models directly within BigQuery using SQL and/or Python, leveraging native GCP tools (e.g., Vertex AI, Dataflow, Pub/Sub). Data Preprocessing & Feature Engineering: Clean, enrich, and transform raw data (e.g., legal clauses, metadata, audit trails) into model-ready features using scalable and efficient pipelines. Model Evaluation & Experimentation: Conduct experiments, model validation, A/B testing, and iterate based on precision, recall, F1-score, RMSE, etc. Deployment & Monitoring: Operationalize models in production environments with monitoring, retraining pipelines, and CI/CD best practices for ML (MLOps). Collaboration: Work cross-functionally with data engineers, product managers, legal domain experts, and frontend teams to align ML solutions with product needs. What you need to fulfill the role Skills And Experience Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. ML Expertise: Strong applied knowledge of supervised and unsupervised learning, classification, regression, clustering, feature engineering, and model evaluation. NLP Experience: Hands-on experience working with textual data, especially in NLP use cases like entity extraction, classification, and summarization. GCP & BigQuery: Proficiency with Google Cloud Platform, especially BigQuery and BigQuery ML; comfort querying large-scale datasets and integrating with external ML tooling. Programming: Proficient in Python and SQL; familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, Keras. MLOps Knowledge: Experience with model deployment, monitoring, versioning, and ML CI/CD best practices. Data Engineering Alignment: Comfortable working with data pipelines and tools like Apache Beam, Dataflow, Cloud Composer, and pub/sub systems. Version Control: Strong Git skills and experience collaborating in Agile teams. Preferred Qualifications Experience working with contractual or legal text datasets. Familiarity with document management systems, annotation tools, or enterprise collaboration platforms. Exposure to Vertex AI, LangChain, RAG-based retrieval, or embedding models for Gen AI use cases. Comfortable working in a fast-paced, iterative environment with changing priorities. What we offer Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Mehal Mehta Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at thinkproject.com - think career. think ahead.

Associate Project Manager – AI/ML Experience: 8+ years (including 3+ years in project management) Notice Period: Immediate to 15 days Location: Coimbatore / Chennai 🔍 Job Summary We are seeking experienced Associate Project Managers with a strong foundation in AI/ML project delivery. The ideal candidate will have a proven track record of managing cross-functional teams, delivering complex software projects, and driving AI/ML initiatives from conception to deployment. This role requires a blend of project management expertise and technical understanding of machine learning systems, data pipelines, and model lifecycle management. ✅ Required Experience & Skills 📌 Project Management Minimum 3+ years of project management experience, including planning, tracking, and delivering software projects. Strong experience in Agile, Scrum, and SDLC/Waterfall methodologies. Proven ability to manage multiple projects and stakeholders across business and technical teams. Experience in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart. 🤖 AI/ML Technical Exposure (Must-Have) Exposure to AI/ML project lifecycle: data collection, model development, training, validation, deployment, and monitoring. Understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). Familiarity with MLOps practices, model versioning, and CI/CD pipelines for ML. Experience working with data scientists, ML engineers, and DevOps teams to deliver AI/ML solutions. Ability to translate business problems into AI/ML use cases and manage delivery timelines. 🧩 Leadership & Communication Strong leadership, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Ability to influence and gain buy-in from executive sponsors and cross-functional teams. Experience in building and maintaining relationships with business leaders and technical teams. 🎯 Roles & Responsibilities Lead AI/ML and software development projects from initiation through delivery. Collaborate with data science and engineering teams to define project scope, milestones, and deliverables. Develop and maintain detailed project plans aligned with business goals and technical feasibility. Monitor progress, manage risks, and ensure timely delivery of AI/ML models and software components. Coordinate cross-functional teams and ensure alignment between business, data, and engineering stakeholders. Track project metrics, ROI, and model performance post-deployment. Ensure compliance with data governance, security, and ethical AI standards. Drive continuous improvement in project execution and delivery frameworks. Stay updated on AI/ML trends and contribute to strategic planning for future initiatives.

Roles & Responsibilities Qualifications and Skills: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities and Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. Experience 8-11 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Location : Hyderabad and Chennai Immediate Joiners Experience : 3 to 5 years Mandatory skills: MLOps, Model lifecycle + Python + PySpark + GCP (BigQuery, Dataproc & Airflow), And CI/CD Required Skills and Experience: Strong programming skills: Proficiency in languages like Python, with experience in libraries like TensorFlow, PyTorch, or scikit-learn. Cloud Computing: Deep understanding of GCP services relevant to ML, such as Vertex AI, BigQuery, Cloud Storage, Dataflow, Dataproc, and others. Data Science Fundamentals: Solid foundation in machine learning concepts, statistical analysis, and data modeling. Software Engineering Principles: Experience with software development best practices, version control (e.g., Git), and testing methodologies. MLOps: Familiarity with MLOps principles and practices. Data Engineering: Experience in building and managing data pipelines.

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: 18th 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! 🚀

The Artificial Intelligence (AI) Engineer and Data Scientist position at CIS requires a professional with 2.6 to 6 years of experience and a Bachelor's or Master's degree in computer science, mathematics, or a related field. As a machine learning engineer, you will need to demonstrate proficiency in AI, ML, NLP, LLM, OpenCV, deep learning, generative AI, and computer vision. Additionally, you should possess expertise in TensorFlow and OpenCV for developing and deploying machine learning and computer vision models. Your responsibilities will include designing and developing machine learning algorithms, optimizing existing libraries and frameworks, collaborating with various teams on production systems, and ensuring accurate user recommendations. You will be expected to study data science prototypes, run machine learning tests, and construct optimized data pipelines. Familiarity with server-side deployment and a deep understanding of probability, statistics, and algorithms are essential for this role. The ideal candidate should have impeccable analytical and problem-solving skills, extensive knowledge of machine learning frameworks like Keras or PyTorch, and familiarity with Python, Java, and R. Strong communication, collaboration, time management, and organizational skills are also crucial. A passion for continuous learning, innovative thinking, and a general understanding of building machine learning systems are highly valued. This position is based in Indore, Madhya Pradesh, and requires on-site work. You should be willing to work at various global locations, including the USA, UK, Australia, and the Middle East, with on-site benefits. If you meet the qualifications and are enthusiastic about advancing in the field of artificial intelligence and data science, we encourage you to apply from the specified locations. (Note: The job description provided is a standard summary description. Please refer to the original job description for complete details and requirements.),

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. Your responsibilities will include project planning, tracking, and execution, utilizing methodologies such as Agile, Scrum, and SDLC/Waterfall. You will demonstrate your ability to juggle multiple projects and stakeholders across both business and technical domains, while also showcasing your skills in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart will be essential for effective project management. Technical exposure in AI/ML is a must-have for this role, encompassing familiarity with the AI/ML project lifecycle, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). You will be well-versed in MLOps practices, model versioning, and CI/CD pipelines for ML, collaborating closely with data scientists, ML engineers, and DevOps teams to deliver innovative AI/ML solutions. Your ability to translate business challenges into AI/ML use cases and efficiently manage delivery timelines will be paramount. In addition to your technical acumen, you will exhibit strong leadership qualities, effective decision-making skills, and impeccable organizational abilities. Your excellent communication and stakeholder management aptitudes will enable you to influence and secure buy-in from executive sponsors and cross-functional teams. Building and nurturing relationships with business leaders and technical stakeholders will be crucial for the success of AI/ML projects under your purview. Your roles and responsibilities will include leading AI/ML and software development projects end-to-end, collaborating with data science and engineering teams to define project scope and deliverables, and maintaining detailed project plans aligned with business objectives. You will monitor progress, mitigate risks, ensure timely delivery of AI/ML models and software components, and facilitate alignment between business, data, and engineering stakeholders. Tracking project metrics, ROI, and model performance post-deployment, while ensuring compliance with data governance, security, and ethical AI standards, will be integral to your responsibilities. Continuous improvement in project execution and delivery frameworks, staying abreast of AI/ML trends, and contributing to strategic planning for future initiatives will be key aspects of your role as an Associate Project Manager in AI/ML.,

You are an experienced Senior Applied AI Engineer with 4+ years of expertise in developing, deploying, and optimizing advanced AI/ML models. Your passion lies in designing scalable AI solutions, leading teams, and solving complex problems. At XenonStack, we are looking for individuals like you to join our team and contribute to our mission of enabling people and organizations to gain real-time and intelligent business insights through agentic systems. As a Senior Applied AI Engineer at XenonStack, your responsibilities will include leading the development and implementation of AI/ML models and algorithms to ensure they meet business requirements and are scalable. You will guide the team in creating, optimizing, and deploying machine learning models and features, collaborating with cross-functional teams to design AI solutions that seamlessly integrate with business applications. Additionally, you will mentor junior engineers, provide leadership on best practices for AI development and model deployment, work with clients to define AI use cases, and deliver tailored solutions aligned with business goals. To excel in this role, you should have at least 4 years of experience in AI/ML engineering, strong proficiency in Python and popular AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, and expertise in designing and developing machine learning algorithms for production systems. You should possess a deep understanding of AI model optimization, feature engineering, and model deployment processes, as well as experience in working with cloud-based AI/ML platforms like AWS, GCP, or Azure. Strong client-facing skills, leadership experience, problem-solving abilities, and excellent communication skills are also essential for this role. At XenonStack, we offer continuous learning and growth opportunities, access to advanced certifications and hands-on training in the latest AI/ML technologies, career advancement prospects, recognition for contributions to AI advancements, comprehensive health insurance and wellness programs, and project-based allowances and cab facilities for women employees. Our culture is one of cultivation with bold, courageous, and human-centric leadership principles, emphasizing obsession and deep work in everything we do. If you are energized by the idea of shaping the future of AI in business processes and enterprise systems, XenonStack is the perfect place for you to make an impact. Join us at XenonStack and be a part of our vision and mission for accelerating the world's transition to AI + Human Intelligence. Work towards simplifying the user experience with AI Agents and Agentic AI, obsessing over adoption, and simplifying even the most complex challenges to create seamless, intuitive experiences with AI agents and Agentic AI.,