40 Model Deployment Jobs

Design, develop, and deploy AI/ML models; build scalable, low-latency ML infrastructure; run experiments; optimize algorithms; collaborate with data scientists, engineers, and architects; integrate models into production to drive business value. Required Candidate profile 5–10 yrs in AI/ML, strong in model development, optimization, and deployment. Skilled in Azure, ML pipelines, data science tools, and collaboration with cross-functional teams.

Job Summary: We are seeking a dynamic and highly knowledgeable AI Trainer to deliver engaging and impactful AI awareness sessions and workshops to students, teachers, and parents in school settings. The ideal candidate will possess deep expertise in Artificial Intelligence, exceptional communication skills, and a passion for making complex AI concepts accessible and exciting for diverse audiences within an Indian educational context. Key Responsibilities: Content Delivery: Conduct interactive AI awareness sessions for students and parents, introducing fundamental AI concepts and their everyday applications. Lead hands-on AI workshops for students (Grades 6-12), focusing on AI literacy, practical tools, and responsible AI use. Facilitate specialized AI workshops for teachers, covering AI integration strategies, ethical AI, and AI academic integrity. Potentially co-conduct combined sessions for students and teachers, fostering a shared understanding of AI's impact. Audience Engagement: Adapt training content and delivery methods to suit various age groups and technical understanding levels (Grade 6-12 students, parents, diverse teaching staff). Utilize engaging pedagogical approaches, including interactive activities, real-world examples (especially those relevant to India), and hands-on demonstrations with AI tools. Foster an inspiring and curiosity-driven learning environment. Knowledge & Expertise: Demonstrate deep knowledge of core AI concepts (Machine Learning, Deep Learning, Generative AI, NLP, Computer Vision). Stay updated with the latest advancements in AI and its applications, particularly in the educational sector. Address ethical considerations of AI, including bias, privacy, and responsible use, in an age-appropriate and culturally sensitive manner. Collaboration & Logistics: Work closely with school coordinators and the program team to ensure smooth workshop logistics, scheduling, and setup. Provide feedback and insights for continuous improvement of the program content and delivery. Academic Integrity Focus: Specifically address AI Academic Integrity with both students and teachers, providing clear guidelines and strategies for ethical AI tool usage in an academic context, aligned with NEP 2020 principles. Requirements Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Education Technology, or a related technical field. AI Expertise: Proven, in-depth understanding of AI/ML concepts and their practical applications. Training Experience: Minimum [5] years of experience delivering training or workshops, preferably within educational settings (schools, colleges). Audience Engagement: Demonstrated ability to engage diverse audiences (students of varying ages, parents, teachers) effectively. Communication Skills: Exceptional verbal communication, presentation, and interpersonal skills in English. Proficiency in relevant regional Indian languages is a significant advantage. Pedagogical Skills: Understanding of educational methodologies and the ability to simplify complex technical topics. Adaptability: Flexibility to adapt training content and style based on audience needs and available school resources. Travel: Willingness to travel to various school locations across India. Preferred Qualifications: Prior experience specifically delivering AI training to K-12 students or teachers. Familiarity with the Indian education system and NEP 2020 guidelines. Experience with no-code AI platforms (e.g., Google Teachable Machine) or educational coding environments (e.g., Scratch with AI extensions). Experience with online quiz platforms and virtual engagement tools.

Job Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics. Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance. Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment. Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions. Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy. Requirements: Bachelor s/Master s in Data Science, Statistics, Computer Science, or related field. Experience in end to end model development to deployment and performance monitoring. Strong communication skills to convey insights to technical and non-technical audiences. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills.

Description We are seeking an experienced GEN AIML Architect to lead the design and implementation of AI and ML solutions. The ideal candidate will have a strong background in AI/ML architecture, be able to innovate and enhance our AI capabilities, and work collaboratively with various teams to drive successful project outcomes. Responsibilities Design and develop advanced AI/ML architectures and frameworks. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Conduct research and stay updated on the latest AI and ML technologies. Implement machine learning models and algorithms to solve real-world problems. Ensure data quality and integrity throughout the AI/ML development process. Provide technical guidance and mentorship to junior team members. Document architecture designs, processes, and best practices. Skills and Qualifications 10-15 years of experience in AI/ML architecture and design. Proficiency in programming languages such as Python, R, or Java. Strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services. Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and teamwork skills to collaborate with stakeholders and clients.

Optum AI is UnitedHealth Groups enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the worlds top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities: Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems 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: Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI Architecture: Transformers, Attention Models: GPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification: Experience in the health care industry

Description We are seeking an experienced NLP & LLM Engineer to join our team in India. The ideal candidate will be responsible for designing and implementing advanced NLP models and algorithms, as well as developing and fine-tuning large language models for various applications. This role requires a strong understanding of machine learning and natural language processing techniques, as well as the ability to collaborate with cross-functional teams to deliver innovative solutions. Responsibilities Design and implement natural language processing (NLP) models and algorithms. Develop and fine-tune large language models (LLMs) for various applications. Collaborate with data scientists and software engineers to integrate NLP solutions into products. Conduct research to improve the performance of existing NLP systems. Analyze and preprocess large datasets for training and evaluation of models. Stay updated with the latest advancements in NLP and machine learning technologies. Skills and Qualifications 3-8 years of experience in natural language processing and machine learning. Proficiency in programming languages such as Python, Java, or Scala. Experience with NLP libraries and frameworks such as NLTK, SpaCy, Hugging Face Transformers, or similar. Strong understanding of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). Familiarity with large language models (LLMs) and their applications. Solid background in statistics and data analysis. Ability to work with cloud platforms (AWS, GCP, Azure) for deploying NLP solutions. Excellent problem-solving skills and attention to detail.

Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL Experience in developing scalable APIs. Knowledge of AWS, preferred services are storage, EC2, Kubernetes Exposure of ML best practices, documentation and unit testing. ML Flow, AirFlow, ML pipeline creation, drift monitoring and control Experience in developing and deploying machine learning models in a production environment using CI/CD. Communicate with clients to understand requirements and ask right questions. Knowledge of Django and database design will be added advantage. Strong analytical and problem-solving skills. Standards : Model Deployment Standards Use standardized APIs (e.g., RESTful) to interface with models Implement model versioning and proper naming conventions Monitoring and Maintenance Schedule routine model retraining and monitoring Code Quality Standards Follow style guides (e.g., PEP 8 in Python) Write comprehensive debugging and tests

We are seeking a Senior Python DevOps Engineer to develop Python services and build CI/CD pipelines for AI/data platforms. Must have strong cloud, container, and ML workflow deployment experience. Required Candidate profile Experienced Python DevOps engineer with expertise in CI/CD, cloud, and AI platforms. Skilled in Flask/FastAPI, Airflow, MLFlow, and model deployment on Dataiku and OpenShift.

We are seeking a skilled Machine Learning Engineer with experience in model development, versioning, and deployment, particularly in cloud environments. The candidate should have strong expertise in Natural Language Processing (NLP), text annotation, and information extraction. Key Responsibilities: Develop, version, and deploy machine learning models efficiently in cloud environments Work extensively with NLP techniques including text annotation and information extraction Collaborate with data scientists, engineers, and stakeholders to integrate ML solutions into products and workflows Optimize models for performance, scalability, and accuracy Document models, deployment processes, and workflows Required Skills: Proven experience with machine learning model lifecycle management including versioning and deployment Strong knowledge of cloud deployment platforms (AWS, Azure, GCP, etc.) Proficient in NLP techniques, text annotation, and information extraction Good problem-solving and communication skills

Description We are seeking a skilled AI/ML Engineer to join our team in India. The ideal candidate will have a strong background in machine learning and artificial intelligence, with the ability to develop and deploy innovative solutions that address complex problems. You will collaborate with cross-functional teams to create advanced AI models that enhance our product offerings. Responsibilities Design and implement machine learning models and algorithms. Collaborate with data scientists and software engineers to integrate AI solutions into applications. Analyze large datasets to derive insights and improve model performance. Conduct experiments to evaluate and optimize machine learning algorithms. Stay updated on the latest trends and advancements in AI and machine learning technologies. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Strong programming skills in Python, Java, or C++. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Proficiency in data manipulation and analysis using libraries like Pandas and NumPy. Familiarity with SQL and database management systems. Knowledge of statistical analysis and data visualization tools. Understanding of algorithms, data structures, and software engineering principles.

Description We are seeking a Computer Vision Engineer to join our team in India. The ideal candidate will have a strong background in developing and implementing computer vision algorithms and models, with experience in machine learning and image processing. Responsibilities Develop and implement computer vision algorithms and models for various applications. Collaborate with cross-functional teams to integrate computer vision solutions into products. Analyze and interpret image data to improve the performance of existing models. Conduct research to stay updated on the latest advancements in computer vision technology. Optimize computer vision models for performance and scalability. Prepare and present reports on project progress and findings. Skills and Qualifications 2-6 years of experience in computer vision or related fields. Strong proficiency in programming languages such as Python and C++. Experience with computer vision libraries such as OpenCV, TensorFlow, or PyTorch. Solid understanding of machine learning algorithms and techniques. Familiarity with image processing techniques and tools. Knowledge of deep learning frameworks and neural networks. Strong analytical and problem-solving skills. Ability to work in a team environment and communicate effectively.

Description We are seeking an experienced AI/ML Engineer to join our dynamic team in India. The ideal candidate will have a strong background in developing machine learning models and algorithms, with a passion for leveraging data to drive business decisions. Responsibilities Design and implement machine learning models and algorithms to solve complex problems. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data analysis and preprocessing to ensure high-quality input for models. Monitor and evaluate model performance, making improvements as necessary. Stay updated with the latest advancements in AI/ML technologies and methodologies. Document processes, code, and model performance for future reference and compliance. Skills and Qualifications 5-10 years of experience in AI/ML development and deployment. Proficient in programming languages such as Python, R, or Java. Strong understanding of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with data manipulation and analysis libraries such as Pandas and NumPy. Knowledge of SQL and experience with database management. Familiarity with big data technologies like Hadoop or Spark is a plus. Ability to work with cloud platforms (AWS, Azure, Google Cloud) for deploying ML models. Excellent problem-solving skills and a keen analytical mindset.

Your way toimpact - The ideal candidate is customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building andoptimizingplatforms at scale, are deeply passionate aboutleveragingcutting-edgetechnologies, and are dedicated to innovation and market success. Your role will involveleveragingyour extensive technicalexpertiseand practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proventrack recordin technical leadership,youllbe instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Your day to day - In yourday-to-dayroleyou will Provide technical leadership in a high-performing engineering team to build and scale a highly secure, reliable, and performant AI/ML platform to enable a standardized end-to-end model development and production lifecycle with delightful user experience Collaborate with cross-functional teams including product managers, data scientists, and software engineers to define platform requirements and priorities. Architect scalable and efficient platform that enables data scientists to build, deploy, andmonitormachine learning solutions end-to-end. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform. Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Mentor team members,providetechnical guidance, and foster a culture of collaboration, innovation, and continuous learning. Stayup to datewith the latest advancements in AI/ML technology and industrytrends andleveragethis knowledge to enhance the platforms capabilities.

Job Summary: We are seeking a passionate and skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions across domains such as large language models (LLMs), computer vision, and autonomous agent workflows. You will collaborate with data scientists, researchers, and engineering teams to build intelligent systems that solve real-world problems using deep learning, transformer-based architectures, and multi-modal AI models. Key Responsibilities: Design and implement AI/ML models, especially transformer-based LLMs (e.g., BERT, GPT, LLaMA) and vision models (e.g., ViT, YOLO, Detectron2). Develop and deploy computer vision pipelines for object detection, segmentation, OCR, and image classification tasks. Build and orchestrate intelligent agent workflows using prompt engineering, memory systems, retrieval-augmented generation (RAG), and multi-agent coordination. Fine-tune and optimize pre-trained models on domain-specific datasets using frameworks like PyTorch or TensorFlow. Collaborate with cross-functional teams to understand problem requirements and translate them into scalable AI solutions. Implement inference pipelines and APIs to serve AI models efficiently using tools such as FastAPI, ONNX, or Triton Inference Server. Conduct model evaluation, benchmarking, A/B testing, and performance tuning. Stay updated with state-of-the-art research in deep learning, generative AI, and multi-modal learning. Ensure reproducibility, versioning, and documentation of all experiments and production models. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 35 years of hands-on experience in designing and deploying deep learning models. Strong knowledge of LLMs (e.g., GPT, BERT, T5), Vision Models (e.g., CNNs, Vision Transformers), and Computer Vision techniques. Experience building intelligent agents or using frameworks like LangChain, Haystack, AutoGPT, or similar. Proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Scikit-learn. Familiarity with MLOps concepts and deployment tools (Docker, Kubernetes, MLflow). Strong understanding of NLP, image processing, model fine-tuning, and optimization. Experience with cloud platforms (AWS, GCP, Azure) and GPU environments. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience in building multi-modal AI systems (e.g., combining vision + language models). Exposure to real-time inference systems and low-latency model deployment. Contributions to open-source AI projects or research publications. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and RAG pipelines. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Qualification Design, develop, and deploy machine learning and deep learning modls. Collaborate with data scientists, product managers, and engineers to identify opportunities for AI integration. Build scalable and efficient data pipelines to train and serve AI models. Optimize models for performance, accuracy, and resource efficiency. Monitor and maintain production AI systems, ensuring reliability and performance. Research and prototype new AI techniques and stay current with the latest advancements in AI and ML. Document models, processes, and methodologies clearly and concisely.

Description We are seeking an experienced AI Developer to join our team in India. The ideal candidate will have 6-16 years of experience in developing AI solutions and a strong background in machine learning and data analysis. Responsibilities Design and develop AI algorithms and models to solve complex problems. Collaborate with cross-functional teams to integrate AI solutions into products. Conduct research to stay up-to-date with the latest AI technologies and methodologies. Analyze and interpret data to guide AI model improvements and performance enhancements. Deploy AI models in production and monitor their performance. Document development processes, algorithms, and model results for future reference. Skills and Qualifications Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of data structures and algorithms. Familiarity with data preprocessing and data analysis techniques. Knowledge of statistical analysis and modeling techniques. Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Ability to work in a collaborative environment and communicate technical concepts effectively.

Description We are seeking an experienced Data Scientist with a strong focus on Machine Learning to join our team in India. The ideal candidate will have 5-15 years of experience in applying machine learning techniques to real-world problems, with a deep understanding of data analysis and statistical modeling. Responsibilities Designing and implementing machine learning models to solve complex business problems. Conducting data analysis to identify trends and patterns in large datasets. Collaborating with cross-functional teams to define data requirements and deliver insights. Presenting findings and recommendations to stakeholders in a clear and concise manner. Continuously improving existing machine learning algorithms and processes. Skills and Qualifications Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of statistical analysis and data mining techniques. Familiarity with big data technologies like Hadoop, Spark, or similar. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Ability to work with large datasets and perform data cleaning and preprocessing. Strong problem-solving skills and attention to detail. Excellent communication skills to convey complex concepts to non-technical stakeholders.

Description We are looking for an experienced Computer Vision Engineer to join our team in India. The ideal candidate will have a strong background in computer vision and machine learning, with a passion for developing innovative solutions to complex problems. Responsibilities Design and implement computer vision algorithms for real-time applications. Develop, test, and optimize image processing and computer vision models. Collaborate with cross-functional teams to integrate vision solutions into products. Conduct experiments and analyze data to improve algorithm performance. Stay updated with the latest advancements in computer vision and related fields. Skills and Qualifications 6-12 years of experience in computer vision or related fields. Proficiency in programming languages such as Python, C++, or Java. Strong understanding of machine learning frameworks like TensorFlow or PyTorch. Experience with image processing libraries such as OpenCV. Knowledge of deep learning techniques and architectures like CNNs, RNNs, etc. Familiarity with computer vision challenges and solutions in various domains. Ability to work in a fast-paced environment and manage multiple projects.

Description We are seeking an AI/ML Engineer with 4-9 years of experience to join our dynamic team in India. The ideal candidate will be responsible for designing and implementing machine learning models, collaborating with various stakeholders, and optimizing solutions to meet business needs. Responsibilities Design and develop machine learning models and algorithms to solve complex problems. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data analysis and visualization to extract insights from large datasets. Optimize and tune machine learning models for performance and accuracy. Implement and maintain machine learning pipelines for model training and deployment. Stay updated with the latest advancements in AI/ML technologies and frameworks. Skills and Qualifications Strong proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Solid understanding of algorithms and data structures. Familiarity with data manipulation tools like Pandas and NumPy. Knowledge of cloud platforms like AWS, Azure, or Google Cloud for deploying ML models. Experience with SQL and NoSQL databases for data storage and retrieval. Ability to work with big data technologies like Hadoop or Spark.

Qualification Design, develop, and deploy machine learning and deep learning modls. Collaborate with data scientists, product managers, and engineers to identify opportunities for AI integration. Build scalable and efficient data pipelines to train and serve AI models. Optimize models for performance, accuracy, and resource efficiency. Monitor and maintain production AI systems, ensuring reliability and performance. Research and prototype new AI techniques and stay current with the latest advancements in AI and ML. Document models, processes, and methodologies clearly and concisely.

Description We are seeking an experienced Data Scientist to join our dynamic team in India. The ideal candidate will have 15-22 years of experience in data science and will be responsible for developing predictive models, analyzing complex datasets, and providing insights that drive business decisions. Responsibilities Develop and implement advanced predictive models and algorithms to drive business strategies. Analyze large sets of structured and unstructured data to derive actionable insights. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings to stakeholders through data visualization and presentations. Continuously improve data collection and analysis processes. Skills and Qualifications Proficient in programming languages such as Python, R, or Java. Strong knowledge of statistical analysis and machine learning techniques. Experience with data visualization tools like Tableau or Power BI. Familiarity with big data technologies such as Hadoop or Spark. Solid understanding of SQL and database management systems. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.

7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities

Description We are seeking an experienced AI/ML Engineer to join our dynamic team in India. The ideal candidate will leverage their expertise in machine learning and artificial intelligence to develop innovative solutions that drive business growth. Responsibilities Designing, developing, and deploying machine learning models to solve business problems. Collaborating with cross-functional teams to understand data requirements and deliver actionable insights. Performing data preprocessing, feature engineering, and model validation. Conducting experiments to improve the performance of existing models. Staying up-to-date with the latest research and advancements in AI and ML. Skills and Qualifications Proficiency in programming languages such as Python or R. Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data manipulation and analysis using libraries like Pandas and NumPy. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML models. Knowledge of statistical analysis and data visualization tools (e.g., Matplotlib, Seaborn). Strong problem-solving skills and ability to work in a team-oriented environment.

Description We are seeking a skilled Deep Learning Engineer to join our team in India. The ideal candidate will have a strong background in machine learning and deep learning techniques, with a passion for developing innovative solutions. You will work on cutting-edge projects and collaborate with a talented team to drive the development of advanced AI applications. Responsibilities Design and implement deep learning models for various applications such as image recognition, natural language processing, and predictive analytics. Collaborate with data scientists and software engineers to integrate deep learning solutions into existing applications. Conduct research to improve existing models and explore new techniques in deep learning and artificial intelligence. Evaluate model performance and optimize algorithms for better accuracy and efficiency. Stay updated with the latest trends and advancements in deep learning and AI technologies. Skills and Qualifications Proficient in programming languages such as Python, R, or Java. Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and statistical methods. Experience with data preprocessing and data augmentation techniques. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying models. Ability to work with large datasets and knowledge of data manipulation libraries like Pandas and NumPy. Excellent problem-solving skills and the ability to work independently as well as in a team environment.