7171 Machine Learning Jobs - Page 5

Hi, Greetings from Tensaw Technologies!! Are you a 2025 pass-out passionate about Machine Learning and AI? Looking to kickstart your career with hands-on experience in a dynamic environment? Were excited to offer a 3-month internship opportunity at our Kochi office! Location: Kochi, Kerala Duration: 3 months Eligibility: Final year students or recent graduates (2025 pass-outs) What were looking for: Strong knowledge and understanding of Python, Machine Learning algorithms, and related concepts Passion for Machine Learning, AI, or Data Science Prior internship experience in ML/AI is a plus Willingness to relocate to Kochi for the internship Eagerness to learn, build, and collaborate with our innovative team To apply, send your resume to: bitsy@tensaw.email Thanks and Regards, Tensaw Technologies

AI/ML Engineer Location: Hyderabad Experience Level: Experienced (3 to 5 years) Education: Bachelor s degree in Technology, Business, or related field About Us NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions. Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members. Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction. Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model empower our health plan partners to offer value-based care to millions of members. We offer a dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India. Job Description We are seeking a highly skilled and motivated Machine Learning Engineer with expertise in Retriever-Augmented Generation (RAG) , BERT (Bidirectional Encoder Representations from Transformers) , and Pinecone to join our innovative AI/ML team. Responsibilities: Work on cutting-edge ML models and AI-driven applications : Focus on improving retrieval-augmented generation (RAG) systems and developing scalable solutions. Design and fine-tune BERT-based models : Implement models for a range of tasks including sentiment analysis, named entity recognition (NER), and question answering. Utilize Pinecone for scalable vector search solutions : Enhance the performance of search and retrieval systems by implementing fast, scalable, and high-performing vector search techniques. Manage large datasets : Apply best practices in machine learning to ensure robust model training, validation, and deployment pipelines. Collaborate with cross-functional teams : Work closely with Data Scientists, Product Managers, and Backend Engineers to deploy AI solutions into production. Conduct research and experimentation : Improve existing algorithms and model performance in retrieval-augmented generation. Optimize model performance : Ensure the efficiency, accuracy, and scalability of solutions in production environments. If youre passionate about leveraging AI/ML technologies to transform the healthcare industry, we would love to hear from you! This version enhances readability by using clear headings, bullet points for responsibilities, and consistent formatting.

- Cloud: Migration, infrastructure management. - Data: Analytics, BI tools. - AI/ML: Automation, NLP. - Digital Workplace: Remote work - IoT: Connected devices. - Mobile/Web: Custom apps - Legacy Modernization: Upgrades - DevOps/Agile: Implementation

Hello there! Infrrd here. Haven t heard of us beforeNo problem. First off, it s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. We are looking for a highly skilled Growth Marketing Executive to own and drive performance marketing campaigns that fuel our lead pipeline. You will manage Google Ads end-to-end and optimize lead generation strategies for our B2B SaaS business targeting US-based clients. A good grasp of HubSpot, campaign tracking, and attribution is essential, as is experience working in India and generating leads for US markets. Someone who has: 3-5 years of hands-on Google Ads experience, ideally in a B2B SaaS environment Strong understanding of HubSpot CRM, lead tracking, and campaign attribution Proven track record of generating leads for US-based markets Familiarity with full-funnel lead gen strategies (TOFU, MOFU, BOFU) Strong analytical skills with comfort in using tools like Google Analytics, Google Tag Manager, Looker Studio, etc. Ability to optimize campaigns toward quality leads not just volume US client lead-gen experience is a strong plus What you will do: Plan, execute, and optimize Google Ads campaigns (Search, Display, Performance Max, YouTube) Manage budgets, monitor spend, and improve cost-per-lead (CPL) Track and analyze leads through HubSpot, ensuring correct attribution across paid channels Report campaign performance with insights and actionable recommendations Set up experiments and A/B tests to improve conversion rates Collaborate with content, design, and sales teams for aligned demand-gen efforts Research and implement keyword strategies for optimal ROI Stay updated on Google Ads platform changes and trends Why Join Us: Work with a fast-growing B2B SaaS company with global ambitions Opportunity to lead paid media strategy with autonomy Dynamic, collaborative, and flexible work environment Exposure to global marketing best practices Looking forward to speaking with you!

As five-star service provider for our internal divisions, Bosch Global Business Services offers End-to-End processes that ensure the best possible customer experience. Our long-term aim is to process all services from anywhere in the world and provide our solutions around the clock. Working with us means being part of a diverse team, with dynamic colleagues as digital innovation center for internal business processes driving success together. Join our team as Future-Makers, Solution Innovators and Design Thinkers and help us to offer services that empower people to create technology that is invented for life. Activities: As a Data Scientist you will work as part of our global Data Science team to provide data driven AI solutions for our internal customers using state-of-the-art Machine Learning methods and tools. In collaboration with other Bosch units, you will enhance and operate our existing cloud-based solutions including anomaly detection, forecasting, and retrieval-augmented generation systems as well as explore new potential Machine Learning use cases. As an employee of the global cross Business Intelligence team (xBI), you will work on the future steering of Bosch together with Data Modelers, Data Engineers, and Business Analysts. Last but not least, as part of the leading in-house provider for data and analytics-based solutions within Bosch, you will experience the start-up spirit with us and make your contribution through entrepreneurial thinking and acting

Roles & Responsibilities : Machine Learning & Data Science: Develop and implement advanced statistical models, predictive analytics, and optimization frameworks . Research, develop, and apply ML, Deep Learning, and AI techniques on large datasets. Conduct exploratory data analysis (EDA) and apply feature engineering techniques. Optimize and tune ML models for performance, scalability, and accuracy. Large Language Models (LLMs) & NLP: Fine-tune and customize LLMs (GPT, LLaMA, Falcon, etc. ) for enterprise use cases. Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval. Work with vector databases for semantic search . Deploy LLM-powered applications for document summarization, sentiment analysis, and automation . AI & Data-Driven Business Insights: Translate complex AI/ML models into actionable business insights . Partner with stakeholders to define data requirements and ensure the right data is captured . Develop proof-of-concept solutions demonstrating AI and ML capabilities. Deployment & MLOps: Deploy AI/ML models using cloud technologies (Azure, AWS, GCP) . Work with Docker, Kubernetes, and CI/CD pipelines for scalable ML deployment. Continuous Learning & Innovation: Stay updated with the latest trends in AI, LLMs, GenAI, and cloud-based ML platforms .

Job Description At Ecolab, you can help take on some of the world s most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact The AI Operations Analyst is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability. What s in it For You: You will join a growth company offering a competitive salary and benefits. The ability to make an impact and shape your career with a company that is passionate about growth. The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best. Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments. What You Will Do: Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies. Maintain documentation on AI processes. Monitoring the performance of business processes, such as cash applications, order processes, and billing. Identifying issues and resolving them in collaboration with development teams. Interacting with users to understand and solve performance issues in automated processes. Analyzing data and metrics to detect anomalies and optimize processes. Minimum Qualifications: Bachelors degree in Computer Science, Data Science, or a related field. Master s degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries Preferred Qualifications: Deep understanding of business processes and how they operate. Technical aptitude to understand systems and processes, including AI solutions. Experience with SAP and ServiceNow is ideal. Competence in data analysis and the ability to interact with large volumes of data. Focus on business analysis and problem-solving rather than software development. Ability to interact with users and provide support in optimizing processes. At Ecolab, we prioritize our talent-first philosophy by creating the most capable team to excel at our nearly three million customer sites. Building on more than a century of innovation, Ecolab has annual sales of $16 billion, employs approximately 48, 000 associates, and operates in more than 170 countries around the world. Ecolab is a global sustainability leader offering water, hygiene, and infection prevention solutions and services that protect people and the resources vital to life. Our comprehensive science-based solutions, data-driven insights, and world-class service advance food safety, maintain clean and safe environments, and optimize water and energy use.

We are looking for a Senior Software Engineer for Autonomous Vehicles in the DRIVE mapping team. An always available map helps tremendously for reliable autonomous driving. In this role, you will help build robust solutions for using ubiquitous navigation maps. We are seeking the best engineers passionate about solving problems for self-driving cars with a background in software design, embedded software, working on real-time software and operating systems. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditionsIf so, join us! What Youll Be Doing Design and develop algorithms for map based driving products Develop highly efficient code in C++14 or later Integrate algorithmic solutions into the core of NVIDIA DRIVE AV Analyze & visualize various navigation maps using Python, Typescript or Javascript Create scalable and distributed map KPI workflows What We Need To See BS, MS, or PhD in Computer Science or equivalent experience. 3+ years of proven experience building robust software At least 3 years of modern C++ development experience Background in computer vision, 3D geometry and machine learning Passion for robotics and autonomous vehicles Drive to learn new things and solve meaningful problems Excellent communication and cross-team collaboration Independent and analytical engineering skills Ways To Stand Out from the Crowd Software development on embedded or automotive platforms. Knowledge of gRPC, Flat Buffers and Protocol Buffers Experience with GPGPU programming (CUDA). Runtime optimization of code using profilers. Experience with API and framework design. We believe that realizing self-driving vehicles will be a defining contribution of our generation (e. g. traffic accidents are responsible for ~1. 25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If youre creative and autonomous, we want to hear from you!

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Experience with programming languages such as Python or R. More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities. Additional Information You inspire your stakeholder and contact partner with an effective communication of high intercultural sensitivity Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success up to date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc.

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. • Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team. Work from office Afternoon shift NO ONLINE INTERVIEW : Role: Data ScientistIndustry Type: IT Services & ConsultingDepartment: Data Science & AnalyticsEmployment Type: Full Time, PermanentRole Category: Data Science & Machine Learning EducationUG: Any GraduateKe

Requirement : Bachelor's Degree in Computer Science, Operations Research, Statistics, or related field. Knowledge of R, or Python Knowledge of building regression and classification models Familiarity with any or all of, Regularization methods: Lasso, Ridge Ensemble methods: Random Forest, Boosting Time Series analysis: Auto-regression, moving average, etc. Graphs modeling Support Vector Machines Decision trees Preferred : Master's or higher degrees. Industry experience in the field of Data Science. Participation in competitions like Kaggle, Netflix Data Challenge. Open source contributions in areas of Data Science (Machine Learning, Deep Learning, Statistical Learning). Worked on Scala and/or Spark. Understanding of generative AI concepts, such as transformers, diffusion models, and LLMs

We are organizing a Virtual Hiring Drive on Saturday, 28th June 2025 across all Kanini locations Chennai, Coimbatore, Bangalore, and Pune Job Description: We are looking for an experienced and passionate Data Scientist with a strong background in Python programming and Azure services. The ideal candidate will have hands-on expertise in deploying GenAI/OpenAI-based solutions , working with FastAPI , vector databases , and RAG (Retrieval-Augmented Generation) architectures. Experience in CI/CD , NLP , computer vision (CV) , and deep learning is essential. Key Responsibilities: Design, develop, and deploy machine learning and GenAI solutions. Build and optimize RAG-based architectures using vector DBs, embeddings, and chunking techniques. Develop RESTful APIs using FastAPI and Django. Work with Azure services including Form Recognizer , Azure ML , and Data Storage . Integrate CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams (Product, Engineering, DevOps). Handle structured and unstructured data from various sources including NoSQL databases. Implement NLP and Computer Vision solutions using pre-trained and custom models. Optimize performance and cost of deployed models in production. Primary Skills Proficient in Python programming with strong experience in FastAPI and Django frameworks Hands-on expertise with Microsoft Azure services , including Form Recognizer and Azure Machine Learning Experience in Generative AI , OpenAI APIs , and Large Language Models (LLMs) Skilled in building Retrieval-Augmented Generation (RAG) solutions Familiar with Vector Databases such as FAISS , ChromaDB , Pinecone , and Milvus Knowledge of embedding generation and text chunking techniques Experience in Natural Language Processing (NLP) and Computer Vision (CV) Strong understanding of Machine Learning and Deep Learning techniques Proficient in CI/CD pipeline tools like Jenkins and GitHub Actions Experience working with NoSQL databases , including MongoDB and Cassandra Location: Chennai, Coimbatore, Bangalore, Pune

We are looking for an experienced Machine Learning Engineer to lead the development and deployment of ML models that power intelligent products and insights. You will collaborate with teams across Data Science, Engineering, and Product to build solutions that are scalable, efficient, and impactful. Candidates with exposure to the healthcare domain are encouraged to apply, although this is not a mandatory requirement . Key Responsibilities: Architect, build, and maintain end-to-end ML systems from data pipelines to model deployment. Develop and optimize machine learning models for use cases such as classification, prediction, recommendation, NLP, or computer vision. Implement MLOps best practices for model training, tracking, deployment, and monitoring. Collaborate with data scientists and domain experts to productionize prototypes and research. Evaluate and monitor model performance; ensure robustness, fairness, and explainability. Document architecture and processes; contribute to knowledge sharing and code reviews. (Preferred) Work with EHR data, claims data, clinical notes, or healthcare interoperability formats like HL7 or FHIR, if applicable. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related discipline. 5+ years of hands-on experience in ML engineering or applied data science. Strong command of Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Experience deploying ML models in production using containerization (Docker, Kubernetes) and cloud platforms (AWS/GCP/Azure). Familiarity with MLOps tools like MLflow, DVC, or Kubeflow. Proficient in building ETL/ELT pipelines and handling large-scale datasets. Strong understanding of statistical methods, model evaluation metrics, and optimization techniques. Good software engineering practices (version control, testing, CI/CD). Preferred Qualifications: Exposure to healthcare datasets such as medical claims, EHR/EMR, HL7, FHIR, or medical coding (CPT, ICD-10). Experience with NLP models applied to clinical documentation or unstructured medical data. Understanding of HIPAA compliance, data anonymization, and PHI handling. Contributions to open-source ML projects or peer-reviewed publications. Experience working in regulated industries or mission-critical environments.

About the Role We are looking for a hands-on and passionate Full Stack Lead to join our team and take a leading role in the development of cutting-edge applications, including those involving machine learning and AI. You will be responsible for designing, developing, and deploying full stack solutions, guiding and mentoring other developers, and ensuring the delivery of high-quality, scalable, and maintainable code. You will have a deep understanding of front-end and back-end technologies, with proven expertise in React, Node.js, and Python, as well as some hands-on experience with ML engineering principles. Responsibilities: Technical Leadership: o Provide technical leadership and guidance to a team of full stack developers. o Design and architect full stack solutions for complex applications, including those with AI/ML components. o Define coding standards and best practices, and ensure adherence across the team. o Conduct code reviews and provide constructive feedback. o Stay up-to-date with the latest technologies and trends in full stack development and AI/ML. Full Stack Development: o Develop and maintain web applications using React, Node.js, and Python. o Build reusable components and libraries for future use. o Design and implement RESTful APIs for communication between front-end and back-end. o Optimize applications for maximum speed and scalability. o Write clean, efficient, and well-documented code. AI/ML Integration: o Collaborate with data scientists and ML engineers to integrate machine learning models into applications. o Build and maintain the infrastructure for deploying and serving ML models. o Implement data pipelines for processing and feeding data to ML models. o Monitor the performance of ML models in production and identify areas for improvement. Project Management: o Participate in sprint planning and task estimation. o Track progress and report on development activities. o Identify and mitigate potential risks and issues. o Ensure timely delivery of high-quality software. Skills: Essential: o JavaScript (Mastery): Deep understanding of JavaScript, including ES6+ features and asynchronous programming. Mastery of React ecosystem, including state management (e.g., Redux, Context API), routing, and testing. o Node.js (Proficiency): Proficient in building scalable and performant back-end applications with Node.js and Express.js. Experience with middleware, authentication, and authorization. o Python (Proficiency): Proficient in Python and at least one web framework (e.g., Flask, Django). Experience with data structures, algorithms, and object-oriented programming. o Databases (Experience): Experience with both relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB). Ability to design database schemas and optimize queries. o API Design (Experience): Solid understanding of RESTful API design principles. Experience with API documentation tools (e.g., Swagger). o Version Control (Mastery): Mastery of Git and version control best practices, including branching, merging, and conflict resolution. o Containers and Orchestration (Experience): Hands-on experience with Docker for containerizing applications. Familiarity with Kubernetes for orchestrating and managing containers. o Testing (Proficiency): Proficient in writing unit tests and integration tests. Experience with testing frameworks for both front-end and back-end. o Communication & Collaboration (Mastery): Excellent written and verbal communication skills. Proven ability to collaborate effectively with cross-functional teams. o Leadership & Mentorship (Proficiency): Strong leadership and mentoring skills. Ability to guide and motivate a team of developers. Desirable: o Cloud Platforms (Experience): Experience with cloud platforms like AWS or Azure. Knowledge of cloud services relevant to application deployment and scaling. o DevOps (Experience): Experience with DevOps practices and CI/CD pipelines. Familiarity with tools like Jenkins or Azure DevOps. o Machine Learning (Experience): Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data processing and visualization tools. Qualifications: Essential: o Bachelor's degree in Computer Science or related field. o 6+ years of experience in full stack development, with at least 2 years in a lead role. o Proven experience in developing and deploying applications with AI/ML components. Location - Remote, Hyderabad,ahmedabad,pune,chennai,kolkata,Delhi / NCR,Mumbai,Bengaluru

Key Responsibilities: Backend Service Development: Design and implement robust, scalable, and maintainable backend services using Python. Utilize appropriate frameworks and libraries to streamline development and enhance productivity. Integrate AI models and algorithms into backend services, ensuring efficient and reliable communication. AI Model Integration: Collaborate with data scientists and AI engineers to understand AI model requirements and specifications. Develop APIs and interfaces to facilitate seamless integration of AI models into backend services. Cloud Infrastructure Management: Deploy and manage backend services on cloud platforms (e.g., AWS, Azure & GCP). Leverage cloud-native technologies and services to optimize infrastructure costs and performance. Ensure the security and compliance of cloud infrastructure. Collaboration and Mentorship: Work collaboratively with a cross-functional team of engineers, data scientists, and project stakeholders. Provide technical guidance and mentorship to junior engineers. Qualifications and Skills: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in Python programming, with a focus on backend development. Strong understanding of object-oriented programming (OOP) principles and design patterns. Experience with Python web frameworks (e.g., Django, Flask) and RESTful API development. Proficiency in cloud technologies (e.g., AWS, Azure & GCP) and containerization (e.g., Docker & Kubernetes). Familiarity with AI principles, machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch). Preferred Qualifications: Experience with large-scale distributed systems and microservices architectures. Knowledge of data engineering principles and big data technologies (e.g., Apache Spark). Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings 2.30 pm -11.30 pm

We are seeking a skilled and passionate Python Machine Learning Developer to join our team. In this role, you will be responsible for designing, developing, and implementing machine learning models and data pipelines using Python. You will work closely with our data science and product teams to turn data into actionable insights.

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure) Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Key Responsibilities Write clean, efficient, and maintainable code based on specifications Collaborate with cross-functional teams to implement new features Troubleshoot and debug applications to optimize performance Stay updated with emerging technologies and industry trends About CompanyAt Nuchange, were at the forefront of healthcare innovation with our flagship solution, Nuacare We are dedicated to revolutionizing hospital operations worldwide, making patient care smarter, faster, and more efficient Join us to be part of this transformative journey and make a meaningful impact on healthcare technology Product Overview Nuacare is more than just software its a leap forward in healthcare advancement Our all-in-one automation platform empowers hospitals to enhance patient care, streamline operations, and reduce costs With Nuacare, innovation becomes a game-changing reality

Company Overview: At Codvo, software and people transformations go hand-in-hand We are a global empathy led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects Lead the architectural design and implementation of complex AI systems Evaluate and recommend emerging AI technologies and methodologies Drive the adoption of best practices for AI development, deployment, and maintenance Contribute to the strategic planning of AI initiatives, aligning them with business goals Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support Foster a collaborative and innovative team environment Conduct code reviews and ensure code quality Identify and address skill gaps within the team Facilitate knowledge sharing and continuous learning AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions Ensure the performance, reliability, and security of AI systems Drive the development of AI pipelines and infrastructure Lead the integration of AI models with existing systems and applications Troubleshoot and resolve complex technical issues Research & Innovation: Stay abreast of the latest advancements in AI and machine learning Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI Drive research and development efforts to explore new AI technologies Evaluate and prototype new AI solutions Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers Communicate complex technical concepts to both technical and non-technical audiences Provide technical presentations and demonstrations Document technical designs, code, and processes Required Skills and Qualifications: EducationBatchelors or Masters or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects Extensive experience in designing and implementing scalable AI systems Proven experience in leading and mentoring technical teams Deep understanding of machine learning and deep learning algorithms and architectures Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of AI infrastructure and deployment strategies Experience with MLOps best practices Experience with vector databases, and LLM implementations Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Soft Skills: Exceptional leadership and communication skills Strong problem-solving and analytical skills Ability to think strategically and drive innovation Excellent interpersonal and collaboration skills Strong presentation skills Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation) Experience with natural language processing (NLP) or computer vision Contributions to open-source AI projects Experience with distributed systems and big data technologies Experience with prompt engineering

About The Role Senior Computer Vision Machine Learning Engineer About Us At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms- IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasksobject detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Show more Show less