1 Chief Learning Officer Jobs nearby Gulbarga

Trainee Chef de Partie (CDP) is an entry-level role in a kitchen that involvesassisting in food preparation, learning specific station responsibilities, maintaining kitchen hygiene, and supporting senior chefs. Key responsibilities include preparing ingredients, ensuring food quality and consistency, cleaning and organizing their work area, and following all food safety and hygiene standards. The role focuses on training and development to prepare the trainee for a full CDP position. Key responsibilities    Food preparation and cooking: Assisting in the preparation of food according to standard recipes and specifications.    Station management: Learning to manage a specific kitchen station or area under the guidance of a CDP.    Quality control: Ensuring that all food prepared meets the required quality and presentation standards.    Hygiene and sanitation: Maintaining a high standard of cleanliness and hygiene in their work area and adhering to food safety protocols.    Inventory and waste control: Assisting with monitoring inventory, controlling wastage, and managing food costs.    Team support: Providing support to senior chefs, following instructions, and communicating any issues or guest feedback.    Training and development: Participating in training sessions and learning from senior staff to develop culinary skills. Essential skills and qualities    Passion for culinary arts and a willingness to learn.    Strong work ethic and ability to work under pressure.    Good communication and teamwork skills.    Organizational skills and attention to detail.

Capgemini is Hiring on Below Requirment. Job Title: Machine Learning Engineer Location:Bangalore Experience:6-9 years Qualifications and Skills: Technical Expertise: Solid hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face building deep learning & machine learning models. Proficient in fine-tuning LLMs (Large Language Models) using LoRA, QLoRA, and PEFT techniques to optimize resource efficiency. Strong knowledge of Graph Databases (e.g., Neo4j, TigerGraph) and their integration with machine learning systems. Experience working with Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS or ChromaDB). In-depth understanding of neural network architectures, including Transformers, GANs, and Diffusion Models. Solid expertise in NLP, retrieval systems, and multimodal AI integration (text, images, audio). Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn). Experience with deploying machine learning models on cloud platforms like AWS, GCP, or Azure. Soft Skills: Strong analytical and problem-solving abilities to tackle complex AI challenges. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to mentor junior developers and collaborate effectively within a cross-functional team. Self-driven with the ability to work independently on projects and tasks, while aligning with team goals. Education and Experience: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields. 2-5 years of experience in machine learning, generative AI, NLP, or graph-based AI solutions. Preferred Skills (Nice-to-Have): Familiarity with multimodal AI techniques (combining text, images, and other data types). Knowledge of MLOps practices, including tools for continuous deployment and monitoring of AI models. Published research or open-source contributions in generative AI or graph-based AI. Awareness of ethical AI principles and data privacy regulations.  

You are a highly skilled and motivated Happiness Officer responsible for managing the daily operations at a tuition centre. Your role involves multitasking, working well under pressure, and possessing excellent communication skills. - Schedule classes with precision, ensuring students are placed in appropriate classes and levels. - Maintain attendance records for students and teachers. - Monitor class performance and provide guidance and support to teachers. - Act as a point of contact for parents regarding attendance and academic concerns, reassuring them of their child's progress. - Meet with new enquiries and convert them into admissions using persuasive charm. - Conduct student demos during admissions to showcase the benefits of the tutorials. - Organize teacher's logs and tasks efficiently. - Demonstrate exceptional communication skills and the ability to multitask effectively. - Handle pressure and adapt to changing circumstances seamlessly. Qualifications: - A degree in Psychology or related field preferred, though proven experience as a coordinator is also acceptable. - Experience in teaching or managing a tutorial center is required. The company is located in Sahakar Nagar, Bengaluru, and offers full-time employment with office-based work six days a week. The compensation for this role is 3.2 LPA, and immediate joining is required.,

As the Chief People Officer at our company, your role will be crucial in developing a comprehensive People and Human Capital strategy to support the business and strategic direction. Your key responsibilities will include: - Developing and implementing a robust HR and talent development plan aligned with the organization's mission and strategy - Creating world-class talent experiences for existing and prospective talent pools - Providing vision for the global workforce in the rapidly changing AI-driven world - Acting as a strategic business partner to drive changes and provide innovative solutions on critical HR issues - Digitizing and modernizing HR functions to achieve strategic objectives - Guiding special projects, analytics, talent transformation, training, change management, and organizational design - Establishing short- and long-range HR goals, policies, and procedures - Collaborating with HR team members on cross-functional and cross-business issues To qualify for this role, you should have: - MBA/Masters in Human Resources, Human Capital Management, or related field - Experience in managing an onshore and offshore model - Strong background in software engineering and IT services, particularly with AI - Public speaking, board-level interactions, and corporate brand representation experience - 15+ years of progressive HR experience, including 5-7 years of leadership experience - Ability to work with senior business leaders and independently - Proficiency in talent management, succession planning, organizational design, recruiting, compensation, learning and development, and employee relations - Track record of operating strategically and tactically - Experience in managing diverse issues effectively - Knowledge of employment laws and regulations at federal, state, and local levels - Understanding of organizational development theory and practices - Skill in re-engineering operations and procedures, policy formulation, and strategic planning - Familiarity with HR information systems - Ability to motivate teams and manage multiple projects simultaneously - Global team management experience Join us as our Chief People Officer and be a brand ambassador for our company in the market, driving innovative HR strategies and fostering a high-performing culture of success and collaboration.,

As a Machine Learning Scientist at Wayfair, you will be part of a dynamic team dedicated to building cutting-edge ML systems that drive real-world impact. You will collaborate with scientists, engineers, analysts, and product managers to design, deploy, and refine large-scale machine learning models to enhance customer experience and drive revenue. Your role will involve working on real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience. **Key Responsibilities:** - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems - Collaborate with commercial stakeholders to develop analytical solutions for business problems - Work closely with engineering, infrastructure, and ML platform teams to ensure best practices in building and deploying scalable ML services - Identify new opportunities and insights from data to improve models and project ROI - Maintain a customer-centric approach in problem-solving and decision-making **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field - 6-9 years of industry experience developing machine learning algorithms - Proficiency in Python or another high-level programming language - Hands-on experience deploying machine learning solutions into production - Strong theoretical understanding of statistical models and ML algorithms - Excellent written and verbal communication skills - Intellectual curiosity and enthusiasm for continuous learning **Nice to Have:** - Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost) and/or Apache Spark Ecosystem - Familiarity with GCP, AWS, Azure, ML model development frameworks, and ML orchestration tools - Experience in information retrieval, query/intent understanding, search ranking, recommender systems - Familiarity with deep learning frameworks like PyTorch, Tensorflow Wayfair is committed to providing equal opportunities for individuals with disabilities and will make reasonable accommodations as needed. If you require assistance during the application or interview process, please complete the Accommodations for Applicants form. For technical assistance or more information about careers at Wayfair, visit the FAQ page on the website. Wayfair Inc. is a global online destination for home goods, committed to reinventing the way people shop for their homes through technology and creative problem-solving. Join our team for rapid growth, continuous learning, and dynamic challenges that will shape your career. Your personal data is processed in accordance with our Candidate Privacy Notice. For privacy-related inquiries, contact dataprotectionofficer@wayfair.com.,

As a Data & Machine Learning (ML) Engineer at VIWELL, you will be instrumental in enhancing VIWELL's personalization and intelligent recommendation systems. Your role will involve collaborating with various teams to deliver high-quality events, features, eligibility rules, ranking logic, and safe GPT rewrites that aim to enhance user engagement and personalization within VIWELL's ecosystem. Your efforts will directly contribute to VIWELL's mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems. **Key Responsibilities:** - Define event schemas and data contracts in collaboration with Product and Analytics for high-quality tracking and feature availability. - Engineer and maintain data features in Databricks with robust quality checks, lineage documentation, and automated orchestration. - Design and implement eligibility rules and ranking logic for safe personalization and recommendations. - Build guardrails and validation systems like blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites. - Design A/B experiments, exposure logging, and statistical frameworks to support iterative product improvements. - Integrate ML and personalization systems with backend APIs for optimized response times below 300 milliseconds. - Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions. - Stay updated on evolving AI safety principles, data quality standards, and best practices in ML engineering. - Continuously enhance feature pipelines, data freshness, ranking performance, and validation accuracy. **Qualifications & Experience:** - Bachelor's or master's degree in computer science, Engineering, Data Science, Machine Learning, or related technical field. - 5-7 years of experience in data engineering, machine learning engineering, or applied ML roles. - Hands-on experience with Python, SQL, Databricks, MLflow, and modern data engineering tooling. - Experience with dbt or similar transformation frameworks and strong understanding of data contracts and quality checks. - Proven experience in designing ML ranking systems, eligibility rules, or recommendation logic with a safety-first mindset. - Familiarity with A/B testing, statistical experimentation, and product analytics. - Exposure to privacy-by-design, pseudonymization, and security best practices in data workflows. - Ability to thrive in a fast-paced environment and manage multiple concurrent priorities. - Excellent communication, problem-solving, and stakeholder management skills. **What We Offer:** - Competitive salary package based on experience. - Opportunity to build impactful, safety-focused AI and ML systems used by millions of users. - Collaborative, innovation-driven, and mission-led work culture. - Career growth opportunities within the fast-evolving AI, wellness, and technology landscape. If you meet the criteria and are ready to contribute to a purpose-driven company, send your CV to career@viwell.com and be part of transforming well-being across the region!,

Role Overview: Join Apple's Product Engineering International team as an ML Researcher to lead the development of cutting-edge generative modeling pipelines for popular international languages. Your role will involve focusing on natural language processing, designing end-to-end solutions, and prioritizing language diversity. You will work on building and optimizing generative models for international languages. Key Responsibilities: - Drive Innovation in Generative Modeling: Focus on building and optimizing generative models for international languages. - Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing to model architecture design, training, evaluation, and deployment. - Language Diversity: Work with popular international languages to ensure culturally and linguistically adaptable models. Qualifications Required: - Actively exercising machine learning techniques, including implementing basic optimizers and regularizations, formulating and implementing loss functions, applying parameter tuning, reproducing research experiments, addressing accuracy and performance bottlenecks, and benchmarking model compressing methods. - Programming with high-quality codes, implementing new optimizers or loss functions, algorithm optimizations, refactoring existing code-base, processing large datasets efficiently, establishing automated synthesis/training/evaluation pipeline, and applying common design patterns. - Experience in multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely. - Experience in NLP modeling for Indian languages is desired. - Minimum Qualifications: 4+ years of machine learning expertise, strong programming skills using Python/Objective C/Swift, and thorough experience with Deep Learning libraries like PyTorch and TensorFlow. (Note: Any additional details of the company were not present in the provided job description.),

We are looking for a detail-oriented Account Officer to assist in our financial department. The responsibilities of an Account Officer include keeping financial records up-to-date, checking for inaccuracies in invoices, and handling queries on general accounts. To be successful as an Account Officer, you should have knowledge of basic accounting procedures, be open to learning, and have strong communication skills. Ultimately, a quality Account Officer should be able to achieve excellent customer service and maintain accurate financial records. Account Officer Responsibilities:Maintaining financial records.Handling accounts payable and receivable.Checking invoices.Resolving accounts to the general ledger.Contacting clients about transactions and invoices.Handling queries related to accounts.

Hi Team, Please find below our active remote requirement. Kindly share suitable CVs on a priority basis. Position: Machine Learning Engineer Experience: 3 Years Location: Remote Budget: Up to 8LPA Job Description: Bachelors/Masters/Ph.D. in Computer Science, Machine Learning, AI, Data Science, or related fields. 3+ years of relevant experience in AI/ML roles (MLE, MLR, or hybrid). Strong coding skills in Python and hands-on experience with ML engineering, research pipelines, and NLP. Familiarity with cloud environments (AWS, GCP) and containerized deployments (Docker, Kubernetes). Publications, patents, or contributions to open-source AI projects are an added advantage

As a hiring partner for many IT organizations,We are hiring for below position as direct full time on the payroll as a permanent employee of the Hiring Organization.Please share your updated word format resume with CTC, Location and Notice period at "info@unimorphtech.com" Role : Machine Learning Operations EngineerExperience : 5+ YrsLocation : Chennai ## Key Skills : ML Solutions,MLOPs,Machine Learning model deployment, monitoring & governance,Design and develop machine learning pipelines and frameworks,Azure,Snowflake,Machine learning pipeline,framework,Machiice Learning Engineering,data science,Python,TensorFlow, PyTorch,Data modeling,cloud aechitecture. # Roles and Responsibilities Work with stakeholders to define machine learning solution design (based on cloud services like Azure and Snowflake), that adheres to industry best practices. Design and develop machine learning pipelines and frameworks to support enterprise analytical/reporting needs. Provide guidance and collaborate on model deployment design with data science, ML engineering, and data quality teams. Manage and configure the cloud environments and related ML services. Implement improvements and new tools and approaches aimed at model integration, storage, profiling, processing, management and archival. Recommend improvements and platform development to meet strategic objectives of Global Technology and the MPG business. Utilize Agile practices to manage and deliver features. Must stay current with key technologies and practices so that both current and new needs can be assessed for suitability to business requirements. # Experience : Bachelor's degree in Computer Science, Engineering or Technical Field preferred. Minimum 3-5 years of relevant experience. Proven experience in machine learning engineering and operations. Profound understanding of machine learning concepts, model lifecycle management, and experience in model management capabilities including model definitions, performance management and integration. Execution of model deployment, monitoring, profiling, governance and analysis initiatives. Excellent interpersonal, oral, and written communication; Ability to relate ideas and concepts to others; write reports, business correspondence, project plans and procedure documents. Solid Python, ML frameworks (e.g., TensorFlow, PyTorch), data modeling, and programming skills. Experience and strong understanding of cloud architecture and design (AWS, Azure, GCP). Experience using modern approaches to automating machine learning pipelines. Agile and Waterfall methodologies. Ability to work independently and manage multiple task assignments within a structured implementation methodology. Personally invested in continuous improvement and innovation. Motivated, self-directed individual that works well with minimal supervision. Must have experience working across multiple teams/technologies.

As a hiring partner for many IT organizations,We are hiring for below position as direct full time on the payroll as a permanent employee of the Hiring Organization.Please share your updated word format resume with CTC, Location and Notice period at "info@unimorphtech.com" Role : Machine learning engineer Sr. managerExperience : 8-12+ YrsLocation : Bangalore or Chennai ## Key Skills : Python,Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learnDesign & deploy Machine learning pipelines on cloud platform(Azure),MLOPs,MLOps tools such as MLFlow and Weights & Biases,ML deployments,Machine learning frameworks & GRC.ETL pipeline for data processing on Azure,Snowflake,CI-CD using tools like Git and Jenkins. # Purpose :We are looking for a highly skilled and motivated Machine Learning Engineer to join our team to design, develop, and deploy scalable machine learning solutions. In this role, you will work on building robust ML pipelines, optimizing large-scale data processing, and implementing state-of-the-art MLOps frameworks on cloud platforms like Azure and Snowflake. # HIghlights- Design and deploy end-to-end machine learning pipelines on cloud platforms (Azure, Snowflake).- Build efficient ETL pipelines to support data preparation, model training, and evaluation on Snowflake and Azure.- Scale machine learning infrastructure to handle large datasets- Ensure secure ML deployments with Governance,Risk and Compliance- Experience building scalable ML systems # Roles and Responsibilties : This is a global role working across diverse business areas, brand and geographies, providing business outcomes and enabling transformative impact across the global landscape. Design and deploy end-to-end machine learning pipelines on cloud platforms (Azure, Snowflake) to deliver scalable, production-ready solutions. Build efficient ETL pipelines to support data preparation, model training, and evaluation on modern platforms like Snowflake. Scale machine learning infrastructure to handle large datasets and enable real-time processing for critical applications. Implement MLOps frameworks to automate model deployment, monitoring, and retraining, ensuring seamless integration of ML solutions into business workflows. Monitor and measure model drift (concept, data, and performance drift) to maintain ongoing model effectiveness. Deploy machine learning models as REST APIs using frameworks such as FastAPI, Bento ML, or Torch Serve. Establish robust CI/CD pipelines for machine learning workflows using tools like Git and Jenkins, enabling efficient and repeatable deployments. Ensure secure ML deployments, addressing risks such as adversarial attacks and maintaining model integrity. Build modular and reusable ML packages using object-oriented programming principles, promoting code reusability and efficiency. Develop clean, efficient, and production-ready code by translating complex business logic into software solutions. Continuously explore and evaluate MLOps tools such as MLFlow and Weights & Biases, integrating best practices into the development process. Foster cross-functional collaboration by partnering with product teams, data engineers, and other stakeholders to align ML solutions with business objectives. Lead data labeling and preprocessing tasks to prepare high-quality datasets for training and evaluation. Stay updated on advancements in machine learning, cloud platforms, and secure deployment strategies to drive innovation in ML infrastructure. # Experience : Masters degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field Expertise with object oriented programming (Python, C++) Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure). Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools. Track record of scaling machine learning solutions from prototype to production. Experience building scalable ML systems in fast-paced, collaborative environments. Working knowledge of adversarial machine learning techniques and their mitigation Agile and Waterfall methodologies. Personally invested in continuous improvement and innovation. Motivated, self-directed individual that works well with minimal supervision.

You will be responsible for providing an excellent and consistent level of administrative support to customers. As a Learning Officer, your main role will be to assist the Training Manager in the efficient running of the Training Department. Key Responsibilities: - Provide administrative support to customers - Assist the Training Manager in the day-to-day operations of the Training Department - Help in organizing and coordinating training programs - Maintain training records and documentation Qualifications Required: - University Degree/Diploma, preference given to Human Resources or business-related degrees - Experience of working in hotel-related operational positions would be a useful benefit,

As a Learning Officer at our company, you will play a crucial role in providing exceptional administrative support to your customers. You will work closely with the Human Resources Manager to ensure the Training Department operates efficiently. Key Responsibilities: - Provide consistent and excellent administrative support to customers - Assist the Human Resources Manager in running the Training Department efficiently - Ensure the department operates in alignment with Hyatt International's Corporate Strategies and brand standards - Meet the expectations of employees, guests, and owners - Oversee the smooth operation of the Personnel Department within the Human Resources Division Qualifications Required: - University Degree/Diploma, preference given to Human Resources or business-related degrees - Experience in hotel-related operational positions would be a valuable asset,

As a Lead PHP Developer at Appriffy, you will be stepping into the role of an Interim CTO, joining a team with out of control TRACTION. Your responsibilities will include: - Managing a team of 6-8 Developers along with Outsourced Tech Vendors. - Utilizing your 5+ years of experience to lead by example in writing code continuously. - Demonstrating a good working knowledge of Android, proficiency in 3rd party API-integrations, and building scalable architecture. - Addressing server-side issues and fixes to support our 1-Million plus users on the app. - Being dedicated to working long hours and meeting deadlines to ensure project success. The ideal candidate for this role would possess Startup Acumen, digital lending experience, and a solutions-oriented mindset. If you are someone who is willing to code and ship at lightning speed, this opportunity is perfect for you. At Appriffy, you will have the chance to work in a friendly and cool environment free from politics. You will have the opportunity to collaborate with Senior Experts on live projects, providing ample opportunities for learning and growth. Additionally, you will have the chance to work on the latest technology, starting from scratch, in Bangalore, known as India's IT Silicon Valley. Appriffy prioritizes work quality over location, offering the flexibility to work from anywhere.,

Role Overview: You have the opportunity to join Expedia Group's Machine Learning and Data Science team to work on developing state-of-the-art machine learning algorithms that power various aspects of highly complex travel searches, recommendations, and advertising. As a part of the team, you will be responsible for implementing and validating machine learning models and collaborating with senior scientists, engineers, and product managers to contribute to solutions. Key Responsibilities: - Implement, test, and validate machine learning models, taking features from concept to production. - Design and analyze rigorous A/B tests to validate models and quantify their business impact. Proactively monitor model performance and iterate to improve it. - Partner effectively with senior scientists, engineers, and product managers to understand requirements and contribute to solutions. - Continuously learn and develop a deeper understanding of the data, infrastructure, and problem space. Qualifications Required: - PhD or MS in a quantitative field such as Computer Science, Economics, Statistics, or Physics. - 1-3 years of hands-on industry experience building and deploying machine learning models to solve real-world problems. - Strong foundation in machine learning theory and core statistical concepts. - Proficiency in Python and its data science ecosystem, experience with SQL for data querying. - Strong collaborator with the ability to effectively partner with teammates to implement solutions. - Highly desired experience in online advertising or e-commerce and building models using GenAI/LLM technologies. Additional Details: Expedia Group is committed to creating an open culture where everyone belongs, differences are celebrated, and teamwork is encouraged. As part of the team, you will enjoy a full benefits package, exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources to fuel your passion for travel and ensure a rewarding career journey. Join Expedia Group in shaping the future of travel and building a more open world. (Note: The company's family of brands includes Brand Expedia, Hotels.com, Vrbo, trivago, and others. Expedia Group is recognized for its award-winning culture and is committed to providing a positive work environment for its employees.),

Role Overview: You will play a vital role in spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to tackle complex challenges. Collaborating closely with data scientists, software engineers, and product teams, you will utilize innovative AI/ML solutions to enhance services. Your primary responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to extract valuable business insights and elevate customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives organization-wide. - Lead the development and optimization of advanced machine learning models. - Supervise the preprocessing and analysis of extensive datasets. - Implement and maintain ML solutions in live production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models, making necessary refinements. - Provide mentorship and guidance to junior engineers and data scientists. - Publish research outcomes and contribute to industry conversations. - Represent the company at conferences and external events. - Influence the company's AI/ML strategy and contribute to long-term planning. Qualification Required: - A minimum of 18 years of relevant work experience along with a Bachelor's degree or equivalent. - Profound expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Extensive hands-on experience with cloud platforms like AWS, Azure, GCP, and tools for data processing and model deployment. - Recognized as an industry authority with a robust publication history. Note: The company emphasizes values of Inclusion, Innovation, Collaboration, and Wellness, driving daily operations and fostering a culture of teamwork, customer focus, self-care, and community involvement. For more information about the company's culture and community, you can visit: [Company Culture and Community](https://about.pypl.com/who-we-are/default.aspx) If you are interested in joining the Talent Community or have any queries regarding your application, please do not hesitate to reach out. The company encourages all candidates to apply, acknowledging challenges like the confidence gap and imposter syndrome.,

As a highly skilled Python and Machine Learning Engineer at GlobalLogic, your role will involve designing, developing, and deploying cutting-edge machine learning solutions. You will have the opportunity to work with a collaborative team, supportive managers, and compassionate leaders who prioritize a culture of caring. **Key Responsibilities:** - Design, develop, and deploy machine learning models and algorithms. - Implement and optimize machine learning algorithms using Python and relevant libraries. - Work with large datasets, including data cleaning, preprocessing, and feature engineering. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Evaluate and improve the performance of machine learning models. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence. - Participate in code reviews and maintain high code quality standards. **Qualifications Required:** - Experience: Minimum 5 years of experience in Python and Machine Learning. - Programming Languages: Strong proficiency in Python. - Machine Learning Libraries: Extensive experience with scikit-learn, TensorFlow, Keras, PyTorch, or similar frameworks. - Data Manipulation: Expertise in data processing and analysis using libraries such as Pandas and NumPy. - Database Knowledge: Experience with SQL and NoSQL databases. - Version Control: Proficient in using Git. - Problem-Solving: Excellent analytical and problem-solving skills. - Communication: Strong verbal and written communication skills. At GlobalLogic, we offer a culture of caring, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility to achieve work-life integration, and a high-trust organization where integrity is key. Join us as we collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.,

As a Firefly models & Services architect in the Adobe Firefly Gen AI Models and services group, you will play a crucial role in supporting the creation, improvement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will be essential in designing and optimizing large-scale foundation model pipelines in Generative AI. You will collaborate with outstanding Applied researchers and engineers to bring innovative ideas to production, providing technical leadership and mentorship for junior team members. - Design and develop the GenAI backend services for Firefly. - Create efficient model pipelines that power the generative AI features on various Adobe applications like PPro, Photoshop, Illustrator, Express, and Stock. - Lead the exploration and research of new ML and MLOps technologies to enhance Adobe's GenAI engineering effectiveness continuously. - Drive alignment and achieve project goals within a Matrix organization using your strong hands-on experience with large-scale GenAI model pipelines and collaboration skills. To succeed in this role, you should have: - A Master's or Ph.D. in Computer Science, AI/ML, or related fields, or a B.Tech with significant experience in AI/ML. - 12+ years of experience and at least 3 years as a Lead/Architect. - Excellent communication and technical leadership skills. - Experience in the latest Generative AI technologies, such as GAN, diffusion, and transformer models. - A track record of tech leading contributors on time-sensitive GenAI projects. Preferred experience includes: - Training or optimizing models using frameworks like CUDA, Triton, and TRT. - Converting models from PyTorch and TensorFlow to other formats for optimized performance. - A good publication record in Computer Science, AI/ML, or related fields. At Adobe, creativity, curiosity, and continuous learning are encouraged, offering you a unique career growth journey. Update your Resume/CV and Workday profile to showcase your Adobe experiences and volunteer work. Explore opportunities on the Internal Mobility page on Inside Adobe and prepare for interviews by checking out helpful tips. Adobe provides an exceptional work environment, recognized globally, where ongoing feedback is valued through the Check-In approach. If you are driven to make an impact, Adobe is the place for you. Discover more about career experiences on the Adobe Life blog and explore the meaningful benefits offered. If you require accommodation to navigate the website or complete the application process due to a disability or special need, reach out to accommodations@adobe.com or call (408) 536-3015.,

As a Machine Learning Engineer at Vimaan, you will play a crucial role in driving the development of cutting-edge computer vision and machine learning algorithms for the wall-to-wall warehouse inventory tracking and verification platform. Your responsibilities will include: - Developing new learning algorithms for various computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models. - Possessing hands-on experience in training and debugging deep learning systems, gaining insights into data characteristics, and mapping them to appropriate model architectures. - Working with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN. - Implementing and optimizing deep learning architectures, exploring techniques like transfer learning and data augmentation. - Collaborating with MLOps for integrating machine learning models into production systems. - Conducting thorough performance analysis and evaluation of models using appropriate metrics and tools. Qualifications required for this role include: - MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. - Knowledge of current deep learning literature and the mathematical foundations of machine learning. - Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch. - Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and familiarity with data pre-processing, augmentation, and visualization tools and libraries. - Ability to work effectively in a team or independently under supervision in a matrix management environment. You will be part of a team at Vimaan that is dedicated to delivering computer vision and machine learning solutions to solve inventory visibility, accuracy, and quality challenges in the supply chain industry. Stay updated with the latest advancements in machine learning and computer vision research to integrate relevant findings into the solutions developed at Vimaan. (Note: The additional details about Vimaan have been omitted as they were not present in the provided job description.),

As a Principal ML Engineer at Ema, you will play a crucial role in shaping AI / ML initiatives that empower employees in the enterprise to be more creative and productive. You will lead the technical direction of GenAI and agentic ML systems, architect scalable production pipelines, define multi-year ML roadmap, integrate cutting-edge ML methods, optimize trade-offs, champion engineering excellence, mentor senior engineers, collaborate cross-functionally, influence data strategy, and drive system scalability and performance. **Key Responsibilities:** - Lead the technical direction of GenAI and agentic ML systems powering enterprise-grade AI agents. - Architect, design, and implement scalable production pipelines for model training, retrieval, agent orchestration, and evaluation. - Define and own the multi-year ML roadmap for GenAI infrastructure. - Identify and integrate cutting-edge ML methods into Emas products or infrastructure. - Optimize trade-offs between accuracy, latency, cost, and real-world reliability across the agent lifecycle. - Champion engineering excellence and mentor senior engineers. - Collaborate cross-functionally to align ML innovation with enterprise needs. - Influence data strategy to improve grounding, factuality, and reasoning depth. - Drive system scalability and performance for ML agents and RAG pipelines. **Qualifications Required:** - Bachelors or Masters (or PhD) degree in Computer Science, Machine Learning, Statistics, or a related field. - 10-12+ years of applied experience with ML techniques in large-scale settings. - Experience in building production ML systems at scale. - Exposure in Knowledge retrieval and Search space. - Proficiency in Python, C++, Java, TensorFlow, PyTorch, etc. - Strong understanding of the full ML lifecycle and computational trade-offs. - Excellent communication skills and experience mentoring senior engineers. At Ema, you will work at the forefront of agentic AI systems, own mission-critical platforms, join an elite team of engineers and AI researchers, and help define the architectural, cultural, and operational DNA of a company set to define a new category. If you are someone who values excellence, takes full responsibility for work outcomes, sets ambitious goals, believes in continuous learning and knowledge sharing, and thrives in a collaborative environment focused on delivering results, Ema is the place for you to make a real impact in the AI industry.,