2167 Deep Learning Jobs - Page 21

We are seeking a highly skilled and experienced Senior AI Researcher to develop cutting-edge research and development in Natural Language Processing (NLP), Deep Neural Networks (DNN), Small Language Models (SLM), and Retrieval-Augmented Generation (RAG). The ideal candidate will focus on advancing information retrieval and semantic search technologies, driving innovation in model design, and optimizing performance for real-world applications. Key Responsibilities Model Development : Design, develop, and implement state-of-the-art machine learning and DNN models to enhance information retrieval capabilities. Data Management : Oversee the collection, cleaning, and preprocessing of datasets to ensure high-quality training data for DNN models. System Design : Develop scalable and efficient systems for deploying and managing NLP models, particularly for on-device applications. Research and Innovation : Conduct research to address abstract problems in NLP, IR, and semantic search, leveraging advanced methodologies to identify and solve complex challenges. Performance Optimization : Establish performance metrics, evaluate model effectiveness, and implement strategies to measure, manage, and maintain model performance. Collaboration : Work closely with cross-functional teams to align research efforts with business objectives and deliver impactful solutions. Expected Skills Proven experience in NLP, DNN, SLM, and RAG, with a strong track record of developing innovative solutions. Expertise in Information Retrieval (IR) and semantic search technologies. Hands on experience with bi encoders, cross encoders, SFT, distillation. LoRA techniques. Proficiency in TensorFlow and PyTorch for model development and deployment. In-depth knowledge of advanced model architectures such as BERT, RoBERTa, and their optimization for specific use cases Experience with model compression techniques (e.g., pruning, quantization) for on-device deployment. Knowledge of distributed computing frameworks for large-scale model training and inference. Research and Problem-Solving : NLP Advancements : Explore novel approaches to improve language understanding, generation, and retrieval capabilities in NLP models. Semantic Search : Develop advanced semantic search algorithms that enhance the relevance and accuracy of retrieved information. Retrieval-Augmented Generation : Investigate methods to integrate retrieval mechanisms with generative models for improved performance in tasks like question answering and summarization. On-Device Deployment : Focus on optimizing models for on-device deployment, ensuring efficiency in terms of latency, memory usage, and computational resources. Qualifications Experience : 6 to 15 years of experience in AI research, with a strong background in NLP, DNN, SLM, and IR. Education : Advanced degree (Ph.D. is a plus) in Computer Science, Artificial Intelligence, or a related field. Publications : Track record of publishing research papers in top-tier conferences and journals in AI, NLP, or IR domains. Impact As a Senior AI Researcher, you will play a pivotal role in shaping the future of NLP and information retrieval technologies. Your work will directly contribute to the development of intelligent systems that enable seamless and efficient information retrieval across various applications, driving innovation and delivering value to users worldwide.

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

About the job We are seeking a highly skilled and motivated AI-ML Lead with expertise in Generative AI and LLMs to join our team. As a Generative AI and LLM Expert, you will play a crucial role in developing and implementing cutting-edge generative models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of researchers, engineers, and data scientists to explore innovative applications of generative AI across various domains. Responsibilities: Research and Development: Stay up-to-date with the latest advancements in generative AI, including LLMs, GPTs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other related techniques. Conduct research to identify and develop novel generative models and algorithms. Model Development: Design, develop, and optimize generative models to generate realistic and diverse outputs. Implement and fine-tune state-of-the-art generative AI architectures to achieve desired performance metrics. Data Processing and Preparation: Collect, preprocess, and curate large-scale datasets suitable for training generative models. Apply data augmentation techniques and explore strategies to handle complex data types and distributions. Training and Evaluation: Train generative models using appropriate deep learning frameworks and libraries. Evaluate model performance using quantitative and qualitative metrics. Iterate and improve models based on feedback and analysis of results. Collaboration: Collaborate with cross-functional teams, including researchers, engineers, and data scientists, to understand project requirements, define objectives, and identify opportunities to leverage generative AI techniques. Provide technical guidance and support to team members. Innovation and Problem Solving: Identify and tackle challenges related to generative AI, such as mode collapse, training instability, and generating diverse and high-quality outputs. Propose innovative solutions and approaches to address these challenges. Documentation and Communication: Document research findings, methodologies, and model architectures. Prepare technical reports, papers, and presentations to communicate results and insights to both technical and non-technical stakeholders. Requirements: Education: A Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field. A strong background in deep learning, generative models, and computer vision is preferred. Experience: Proven experience in designing and implementing generative models using deep learning frameworks (e.g., TensorFlow, PyTorch). Demonstrated expertise in working with GPTs, GANs, VAEs, or other generative AI techniques. Experience with large-scale dataset handling and training deep neural networks is highly desirable. Technical Skills: Proficiency in programming languages such as Python, and familiarity with relevant libraries and tools. Strong mathematical and statistical skills, including linear algebra and probability theory. Experience with cloud computing platforms and GPU acceleration is a plus. Research and Publication: Track record of research contributions in generative AI, demonstrated through publications in top-tier conferences or journals. Active participation in the AI research community, such as attending conferences or workshops, is highly valued. Analytical and Problem-Solving Abilities: Strong analytical thinking and problem-solving skills to tackle complex challenges in generative AI. Ability to think creatively and propose innovative solutions. Attention to detail and the ability to analyze and interpret experimental results. Collaboration and Communication: Excellent teamwork and communication skills to effectively collaborate with cross-functional teams. Ability to explain complex technical concepts to both technical and non-technical stakeholders. Strong written and verbal communication skills. Adaptability and Learning: Enthusiasm for staying updated with the latest advancements in AI and generative models. Willingness to learn new techniques and adapt to evolving technologies and methodologies.

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

Key Responsibilities Collect, clean, and preprocess large datasets from multiple sources. Apply statistical analysis and machine learning techniques to solve business problems. Develop, validate, and deploy predictive models and algorithms. Visualize data insights and communicate findings to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to implement data-driven solutions. Monitor model performance and improve models based on new data and feedback. Stay current with emerging data science techniques and tools. Required Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field. Strong programming skills in Python, R, or similar languages. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.). Proficient in SQL and database management. Knowledge of data visualization tools (Tableau, Power BI, matplotlib, etc.). Strong understanding of statistics, probability, and algorithms. Excellent problem-solving and communication skills.

Responsibilities: Work experience of 3+ years with Deep Learning and Neural networks. Researching new models and machine learning algorithms Designing prototypes and conducting experiments to guide engineering efforts Creating ML applications based on client/customer requirements Tell business stories through model outcomes and data. Analyzing test results to improve models Exploring and visualizing data to identify potential issues that might affect model performance Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use Production deployment and maintenance of ML Systems Skills required for this position include: Advanced math and stats skills (calculus, linear algebra, Bayesian statistics) A degree in a related field (math, computer science, statistics) Strong teamwork, problem-solving, and analytical abilities Knowledge of data science Proficiency in coding and programming languages (Python, SQL) Practical experience with ML frameworks and libraries Knowledge of software architecture, data modeling, and data structures Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud)

Position Overview As the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new productsMore towards the role required Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team Required Skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Experience in feature selection, building and optimizing classifiers. Experience working with backend technologies such asFlask/Gunicorn etc. Experience on working with open source library such Spacy, NLTK, Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc. Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software

JOB DESCRIPTION: To design and implement Process Mining, text mining and Data Quality for HCL Software Client Support data sources. To define the event data collection and transformation and the visualizations (diagrams) that will allow Process Discovery (detection of the actual process followed by Support staff and Customers). To identify areas for Process Enhancement. To combine structured and unstructured data to create new insights into historical business performance, make predictions and recommend process improvements. To design and implement Data Quality controls for HCL Software Client Support data sources. To improve how data is obtained and transformed. To design and implement metrics based on the existing data to measure and improve business processes. To monitor and optimize queries, reports and dashboards. To maintain the DataMart. QUALIFICATION: Lead Software Engineer 5+ years Business Context HCL Software provides solutions for Business and Industry Applications, Cybersecurity, Data and Analytics, AI and Intelligent Operations, among others. You can see more information at: https://www.hcl-software.com/products. HCL Software Client Support delivers its service to corporate clients worldwide from many locations around the globe. We are looking for an experienced Lead Software Engineer to join our team and improve the quality, integrity and usability of the support data. The successful candidate will help directors, project managers and support managers to understand the trends in the data produced by the support ticketing tools and other sources, thus enabling the timely implementation of process improvements that result in meeting customer satisfaction objectives. Candidate profile To be successful in this role, you should have the following skills: - Deep understanding of relational databases (such as Postgresql, others are also acceptable) - Proficiency in SQL (extensive experience in how to write, analyze and optimize complex queries, including how to manage indexes to improve performance) - Experience with Data Modeling, DataMart, Data Warehouse concepts and implementations, ETL jobs - Solid understanding of Process Mining (Process Discovery, Process Modeling, Conformance Checking, Process Enhancement) as described in: https://www.process-mining-summer- school.org/ - Experience applying Deep Learning to Natural Language Processing (using Python and PyTorch or TensorFlow/Keras or JAX). You are familiar with concepts like RNNS, CNNs, Transformers and GenerativeAI. You can use existing LLMs for inference and you know how to fine tune models. You have experience using models exposed via REST APIs. - Experience with a programming language, preferably Python - Experience in conveying high level information with Diagrams, Reports and Dashboards. - Excellent English communication skills, including the ability to adapt the presentation style to various types of stakeholders - Experience working in an international and diverse environment Experience with CRM tools like ServiceNow or SalesForce and RESTful APIs is a plus. Our stack includes Kubernetes, PostgreSQL, Python, Apache Airflow, Apache Superset, so experience with any of these technologies is helpful. Knowledge of Javascript/Typescript is a plus.

Technical Lead - Python (AI/ML) - Only Immediate Joiners Permanent Airoli, Mumbai Preferred candidate profile Skillset Requirements: Technical Lead Total overall experience: 6-9 years Experience in Python: 5+ years (should be hands on with development) Experience in AI/ML: 1+ years Experience with Deployment on Cloud: 2+ years If Interested, kindly share me your updated profile along with below details. Full Name: Contact #: Email ID: Total experience: Key skills: Current Location: Relocation: Current Employer: CTC (Including Variable): ECTC: Notice Period: Holding any offer:

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. Primary Responsibilities: The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery With every role in the company, each position has a requirement for building quality into every output This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways Basic, structured, standard approach to work Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduation 3+ years of experience in Python 2+ years of experience in AI ML Cloud PlatformsHands-on experience with GCP, Azure, or AWS for deploying AI applications Containerization and OrchestrationExperience with Docker and Kubernetes Database ExpertiseKnowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases Generative AI ToolsFamiliarity with LLMs, Google ADK, Anthropic MCP, and multi-agent frameworks AI ExpertiseSolid understanding of classical ML, deep learning, and Generative AI technologies Programming LanguagesProficiency in Python and experience with FastAPI (asynchronous implementation) Logging ToolsProficiency in Splunk for logging and diagnostics Performance OptimizationProven ability to conduct performance testing and optimize backend systems Preferred Qualifications: Experience in prototyping and deploying AI-driven applications in production environments Knowledge of ReAct frameworks for multi-agent AI systems Familiarity with CI/CD pipelines and DevOps practices Understanding of ethical AI practices and governance frameworks Proven solid problem-solving skills and ability to address challenges in cloud deployment and backend optimization At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Assist in developing and implementing machine learning models for healthcare applications Work with structured and unstructured data to build predictive and analytical models Collaborate with cross-functional teams including data engineers, product managers, and domain experts Support the development and maintenance of data pipelines for model training and inference Contribute to the deployment and monitoring of ML models in production environments Apply standard ML and NLP techniques such as classification, entity recognition, and text summarization Use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development Write clean, efficient code in Python and use version control tools like Git Document model development processes and results clearly for both technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Computer Science, Engineering, Data Science, or a related field 2+ years of experience in data science, machine learning, or analytics Hands-on experience with ML and NLP techniques such as supervised learning, deep learning, and text classification Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch Familiarity with data processing tools such as PySpark or SQL Proven solid problem-solving skills and ability to work in a collaborative environment Preferred Qualifications: Experience working with cloud platforms (e.g., AWS, Azure, or GCP) Understanding of APIs and basic web frameworks like Flask or FastAPI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #njp #SStech #SSF&A

Hello Everyone, Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Machine Learning, Deep Learning, TensorFlow, PyTorch, Python, Data Analysis, Algorithm Design, AWS/GCP, Model Deployment, Big Data Technologies, Version Control (Git) Primary Responsibilities: Design and implement complex AI/ML models and algorithms Collaborate with data scientists to preprocess, analyze, and interpret large datasets Develop and maintain scalable and robust machine learning frameworks Integrate AI/ML solutions into products and develop new innovative features Perform model testing, validation, and optimization Deploy machine learning models into production environments Stay up-to-date with the latest advancements in AI/ML technologies and practices Mentor junior team members and provide technical guidance Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 6+ years of experience in software engineering with a focus on AI/ML Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Experience with data preprocessing and analysis Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) Hands-on technical skill Proven excellent problem-solving skills and the ability to think algorithmically Proven solid communication and teamwork abilities Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum

Management Level Definition: Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others. What you will do: Experiment, design, develop and maintain machine learning models and pipelines with a high potential for value and scale. Collaborate with other ML engineers, data scientists, product managers, and other engineers to ensure successful implementation of machine learning solutions. Perform research and testing to develop or customize machine learning algorithms; conduct model training and evaluation as needed; integrate, test, tune and monitor the solutions developed. Research and evaluate new technologies and tools for machine learning. Maintain and update existing machine learning systems. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models. Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems. Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards. Provides tangible feedback to improve product quality and mitigate risks. Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members. Drives innovation and integration of new technologies into projects and activities in the software systems design organization. Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns. What you will need: Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline. Typically, 7-15 years experience. Knowledge and Skills: Strong programming skills in Python & preferrable familiar with Golang Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications. Designing and integrating software systems running on multiple platform types into the overall architecture. Evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools. Excellent written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels.

We are looking for a highly skilled and experienced Manager - Data Science to join our team in Mumbai. The ideal candidate will have 2 to 5 years of experience in the Indian BFSI sector, with a strong background in analytics and data science. Roles and Responsibility Drive analytics across Tata Capital using sophisticated statistical techniques. Design advanced analytical scorecards for customer acquisition, lifecycle management, and collection/recoveries. Manage Bureau relationships for market trends and insights. Enhance data through external/alternate data providers for better scoring. Implement machine learning algorithms for advanced analytics. Collaborate with business users to implement and monitor scorecards/solutions, assessing their impact on business and risk. Utilize IT platforms to implement analytical solutions. Engage with senior management and business stakeholders to drive business growth through analytical solutions. Job Post Graduate or Graduate in Engineering, MBA. Hands-on experience with scoring/data modeling. Proficiency in tools such as SAS, R, or Python. Knowledge of statistical techniques including logistic regression, segmentation, forecasting, machine learning, and optimization. Good interpersonal and presentation skills. Experience working in the Indian BFSI sector.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre in the healthcare industry. The ideal candidate will have 2-5 years of experience and be responsible for operating MRI machines, ensuring patient safety, and providing high-quality diagnostic services. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Ensure patient safety during procedures and provide emotional support. Collaborate with radiologists to interpret images and make accurate diagnoses. Maintain accurate records of patient information and procedure details. Participate in quality control measures to improve patient care. Stay updated on new technologies and techniques in MRI imaging. Job Requirements Minimum 2 years of experience in an MRI setting or related field. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication and interpersonal skills. Familiarity with hospital policies and procedures. Commitment to delivering high-quality patient care.

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining MRI equipment. The ideal candidate will have experience in handling medical imaging technology. Roles and Responsibility Operate and maintain MRI machines for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret images and provide accurate diagnoses. Maintain patient records and confidentiality. Stay updated on the latest advancements in MRI technology and techniques. Participate in quality control measures to improve patient care. Job Requirements Minimum 2 years of experience in an MRI setting. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication skills for interacting with patients and staff. Familiarity with hospital protocols and procedures. Commitment to delivering high-quality patient care.

We are looking for a highly skilled and motivated individual to join our team as a Trainee - X Ray at Vijaya Diagnostic Centre. The ideal candidate will have excellent customer and communication skills, with the ability to perform all types of X-Ray procedures. Roles and Responsibility Perform various X-Ray procedures with precision and accuracy. Maintain high standards of patient care and safety during procedures. Collaborate with other healthcare professionals to provide comprehensive patient care. Stay updated with the latest techniques and technologies in X-Ray imaging. Participate in quality improvement initiatives to enhance patient satisfaction. Work effectively in a fast-paced environment with attention to detail. Job Requirements Strong foundation in medical imaging principles and practices. Ability to work well under pressure and maintain composure in a dynamic environment. Excellent communication and interpersonal skills. Basic knowledge of patient care and safety protocols. Willingness to learn and adapt to new technologies and procedures. Ability to work collaboratively as part of a team.

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

( Immediate Joiners ) Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets.

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Role & responsibilities Design, develop, and deploy ML/DL models tailored for clinical data applications (e.g., EHR, imaging, genomics). Preprocess and clean large, complex datasets, ensuring compliance with healthcare data standards (e.g., HL7, FHIR). Collaborate with clinical experts, data engineers, and product teams to understand and define ML problem statements. Evaluate model performance using appropriate statistical and domain-specific metrics. Implement pipelines for data ingestion, model training, and deployment in production environments (cloud/on-premise). Ensure AI/ML solutions adhere to privacy, security, and ethical standards (HIPAA, GDPR, etc.). Maintain thorough documentation and contribute to knowledge sharing within the team. Required Qualifications: Bachelors or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or a related field. 4–6 years of experience in machine learning and data science roles. Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.). Experience working with structured and unstructured clinical data. Familiarity with clinical terminologies (e.g., SNOMED CT, ICD-10) and healthcare interoperability standards. Experience with cloud platforms (AWS, GCP, or Azure) for ML model development and deployment. Preferred Qualifications: Prior experience in developing AI models for diagnosis, risk prediction, or clinical decision support. Knowledge of regulatory and ethical considerations in clinical AI systems. Publications, patents, or contributions to open-source healthcare AI projects. Preferred candidate profile We are seeking a skilled AI/ML Engineer with 4–6 years of hands-on experience in designing and deploying machine learning models, preferably within the clinical or healthcare domain. The ideal candidate will bring a deep understanding of data science techniques, clinical data processing, and regulatory awareness to help build impactful AI-driven healthcare solutions.

Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning. Preferred candidate profile Bachelor's degree in computer science, data science, mathematics, or a related field. Knowledge as a machine learning engineer. Proficiency with a deep learning framework such as TensorFlow, XgBoost, Wavevnet, Keras, numpy. Advanced proficiency with Python, Java, and R code writing. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture in ANN, CNN, RNN with LSTM. Ability to select hardware to run an ML model with the required latency In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. Benefits of working with OptimEyes 1 . Remote work opportunity ( work from home)2. Work opportunity with a top-notch team, cutting-edge technology, and leadership of extremely successful experts.3. Monthly Bonus along with Salary4. Yearly Bonus Role & responsibilities Preferred candidate profile Role & responsibilities Preferred candidate profile

About this role: AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you ll do: Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. Lead architecture and technical design discussions to ensure data science solutions align with the organizations strategic objectives. Continuously improve models through experimentation and optimization techniques. Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Create Data Science packages and APIs for use across the organization Mentor junior members of the team on effective technical practices and non-technical acumen Be accountable for the scalability, stability, and business adoption of data science solutions What you ll need: 6-9 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have: Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Demonstrated ability to translate quantitative analysis into actionable business strategies. Ability to work collaboratively across business, data science and technical stakeholders. Who you are Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment Owns success - Takes responsibility for successful delivery of the solutions. Ardent desire to improve upon their skills in software development, frameworks, and technologies.

Select with space bar to view the full contents of the job information. Data Scientist Job Details | TATA Digital Search by Keyword Search by Location Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Job Description Tata Digital is a future-ready company focused on building consumer-centric, high-engagement digital products. Our flagship offering, Tata Neu , is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited , we are committed to driving digital transformation at scale. Role Details Role Title: Data Scientist / Machine Learning Engineer About the Role: We are looking for an experienced Data Scientist / Machine Learning Engineer to join our team and help drive innovation in search, recommendation, and ads. You will be responsible for designing, building, and optimizing ML models that enhance user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions within a product-driven company, we want to hear from you. Key Responsibilities: Develop and optimize ML models for search ranking, recommendations, and ad targeting to improve engagement and monetization. Design, implement, and deploy large-scale ML pipelines in production environments. Experiment with and improve deep learning, NLP, for personalization and relevance. Conduct A/B testing and data-driven evaluations to measure the impact of ML models. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 3+ years of experience in Data Science / Machine Learning Engineering, with a focus on search, recommendation systems, or advertising. Strong programming skills in Python, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure