9814 Tensorflow Jobs - Page 42

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

At Peak Medical, our mission is to make rehabilitation smarter, more accessible, and deeply human. We are building BIBO, a clinically validated, AI-powered platform that helps people recover from surgery and manage pain safely at home, mirroring the care of a physiotherapist. It is the first product to go through a high regulatory class to be able to instruct patients at home, with live, clinical advice. This is a significant advancement in Healthcare access. We are a small, smart, agile team located across Australia and India, dedicated to building the next generation of digital musculoskeletal care. Our focus is on providing real-time insights and motion analysis that lead to recovery, reducing the reliance on clinic visits. Our pilot partners and end customers span across Australia and India. We are currently seeking a Senior Computer Vision Engineer with a minimum commitment of 4 years to join our team. As a key member, you will be responsible for leading the development and refinement of our AI motion tracking pipeline, with specific expertise in pose estimation and mobile deployment. This role offers the opportunity to work closely with our product and clinical teams and be part of a passionate and focused team. Key Responsibilities: - Architect and develop real-time pose estimation solutions using tools like MediaPipe and BlazePose. - Build, test, and refine computer vision models integrated into mobile workflows. - Work across platforms such as Flutter, MediaPipe, TFLite, and Python-based toolkits. - Optimize models for low-latency inference on mobile devices. - Lead and implement product architecture. - Conduct research and development on motion accuracy, error handling, and safety thresholds. - Collaborate with cross-functional teams across different time zones (Australia/India). - Contribute to product strategy and user-centric design for at-home care. - Perform model optimization (quantization, pruning) for real-time performance on mobile. Requirements: - 6+ years of experience in AI/ML with a focus on Computer Vision. - Experience in Healthcare, Fitness, Physiotherapy, Medical, or Movement Industries. - Proven ability to build, deploy, and iterate CV models in production environments. - Expertise in MediaPipe, TFLite, EDGE computing, real-time model inference, and pose estimation models. - A builders mindset with a passion for leading CV development in a mission-driven startup. - Experience working with mobile-first health tech or real-time movement data is a plus. - Proficiency in Flutter/Dart, Kotlin, Swift, TensorFlow, and Python. - Comfortable working both independently and collaboratively in a small team. - Experience fine-tuning pre-trained models and deploying them in production apps. - Ability to devise a data set training strategy to enhance model performance. - Experience with AI-powered data analytics and visualization. This position offers great remuneration and ESOP. Join us on this journey where your vision can drive the movement that disrupts Healthcare. Apply now to be part of our team at Peak Medical.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

We are seeking an experienced and forward-thinking Generative AI Architect with a background of 12-15 years in AI/ML, with a specific focus on working with LLMs (Large Language Models) and Generative AI solutions. This pivotal role involves designing and supervising the development of cutting-edge GenAI platforms and solutions that revolutionize business operations and enhance customer experiences. As the GenAI Architect, you will collaborate closely with Data Scientists, ML Engineers, Product Teams, and Stakeholders to envision, prototype, and scale Generative AI Use Cases throughout the organization or for clients. Key responsibilities include leading the design and implementation of scalable GenAI solutions utilizing LLMs, diffusion models, and multimodal architectures. You will also be tasked with architecting end-to-end pipelines that encompass prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning. Furthermore, you will play a crucial role in selecting and integrating foundational models based on business requirements and technical limitations, defining GenAI architecture blueprints and best practices, and guiding teams on model evaluation, inference optimization, and cost-effective scaling strategies. Additionally, staying abreast of the rapidly evolving GenAI landscape, evaluating emerging tools, APIs, and frameworks, and collaborating with various stakeholders to identify high-impact GenAI use cases are essential aspects of this role. Requirements: - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. A PhD would be advantageous. - 12-15 years of experience in AI/ML and software engineering, with at least 3 years of dedicated focus on Generative AI and LLM-based architectures. Core Skills: - Profound expertise in machine learning, natural language processing (NLP), and deep learning architectures. - Hands-on familiarity with LLMs, transformers, fine-tuning techniques, and prompt engineering. - Proficiency in Python, including working knowledge of libraries/frameworks like Hugging Face Transformers, LangChain, OpenAI API, PyTorch, and TensorFlow. - Experience with vector databases and RAG pipelines. - Strong grasp of cloud-native AI architectures, containerization, and API integration. Architectural & Leadership Skills: - Demonstrated ability to design and implement scalable, secure, and efficient GenAI systems. - Excellent communication skills for effective cross-functional collaboration and stakeholder engagement. - Capacity to mentor engineering teams and foster innovation within the AI/ML ecosystem. Nice-to-Have: - Previous experience with multimodal models. - Understanding of AI governance, ethical AI, and compliance frameworks. - Familiarity with MLOps practices for GenAI, encompassing model versioning, drift detection, and performance monitoring.,

As a Developer Engagement & Advocacy Specialist, you will play a crucial role in promoting the use of AI/ML frameworks, APIs, and platforms to software developers. Your responsibilities will include conducting blogs, webinars, workshops, and conferences to educate and engage the developer community. Building and nurturing relationships with functional developer communities, open-source contributors, and tech influencers will be key in your role. You will be expected to create sample applications, demos, and tutorials to showcase the capabilities of AI in real-world software scenarios. Additionally, providing guidance on technical solutions and use cases that drive value will be essential. Partnering with the IQ program to foster AI talent within the team and providing guidance to move AI initiatives from proof of concept to production will also be part of your responsibilities. In terms of Technical Enablement, you will be required to educate internal engineering teams on integrating AI into software products such as recommendation engines, chatbots, and predictive analytics. Offering hands-on support and guidance to developers using AI tools, including model deployment, prompt engineering, and performance optimization, will be crucial. Developing technical documentation, SDKs, and onboarding materials for AI-powered software solutions will also be part of your responsibilities. Your role will also involve Thought Leadership & Content Creation, where you will publish articles, videos, and podcasts on AI trends, use cases, and best practices in software development. Representing the company at industry events, meetups, and hackathons will be essential. Contributing to discussions on ethical AI, responsible development, and open-source collaboration will also be a key aspect of your role. Furthermore, you will engage in Strategic Collaboration by working with product managers, data scientists, architects, and software engineers to align AI initiatives with product roadmaps. Gathering feedback from architects, developers, and users to inform AI product improvements will be part of your responsibilities. Staying updated on emerging AI technologies and assessing their relevance to software development workflows will also be expected. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. A minimum of 5 years of experience in software development with hands-on exposure to AI/ML technologies is required. You should have a strong understanding of AI frameworks such as TensorFlow, PyTorch, APIs like OpenAI, Hugging Face, and cloud platforms including Azure, AWS, and GCP. Excellent communication and presentation skills, along with a passion for teaching and storytelling, are essential. Experience in developer relations, technical evangelism, or community building will be considered a plus. Key Skills required for this role include familiarity with LLMs, generative AI, and prompt engineering, experience with CI/CD, MLOps, and deploying AI models in production, the ability to create engaging technical content, and familiarity with software development lifecycles and agile methodologies. With 12-14 years of experience, this role primarily focuses on AI/ML Development with additional skills in AWS-Apps, Azure-Apps, TensorFlow, and PyTorch.,

As an AI Engineer specializing in Security Governance and Artificial Intelligence (AI), you will have a pivotal role in the evaluation of AI use cases for our Healthcare Client and in the facilitation of robust testing and monitoring capabilities. Collaboration across the enterprise is key, as you will be working closely with Legal, Privacy, Compliance, and various business and R&D groups to establish repeatable practices that effectively manage risks within the AI landscape. This position requires a unique blend of technical expertise, knowledge of security controls, and experience in data governance. Your experience within global organizations will be invaluable in guiding the team through the dynamic international AI regulatory environment. It will be essential to stay updated on the latest AI trends, technologies, and regulatory changes, consistently introducing innovative strategies to address risks. Under the AI umbrella, your responsibilities will include leading and participating in risk assessments to identify potential threats associated with AI applications and developing pioneering protection solutions. We are thrilled to announce an exciting opportunity for an AI Security Engineer. Please see below for further details regarding the role and its associated responsibilities. Skills Required: - Information Security - Java - Python - C++ - Tensorflow - Pytorch - Data Management - Data Governance - AI - Machine Learning - AI/ML Security - Development Lifecycles Experience Range: 8 - 12 years,

As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Your responsibilities will include establishing and promoting a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. You will lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Additionally, you will create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques, and gain experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines. You will advise on the strategy and development of multiple products, applications, and technologies, serving as a lead advisor on the technical feasibility and business need for AIML use cases. Furthermore, you will liaise with firm-wide AI ML stakeholders, translating highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well-informed decisions about technology advancements. You will also influence across business, product, and technology teams and successfully manage senior stakeholder relationships, championing the firm's culture of diversity, opportunity, inclusion, and respect. To be successful in this role, you must have formal training or certification on Machine Learning concepts and at least 10 years of applied experience, along with 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. An MS and/or PhD in Computer Science, Machine Learning, or a related field is required, as well as at least 10 years of experience in one of the programming languages like Python, Java, C/C++, etc., with intermediate Python skills being a must. You should have a solid understanding of using ML techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs), hands-on experience with machine learning and deep learning methods, and the ability to work on system design from ideation through completion with limited supervision. Practical cloud-native experience such as AWS is necessary, along with good communication skills, a passion for detail and follow-through, and the ability to work effectively with engineers, product managers, and other ML practitioners. Preferred qualifications for this role include experience with Ray, MLFlow, and/or other distributed training frameworks, in-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies, advanced knowledge in Reinforcement Learning or Meta Learning, and a deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc., is also desirable.,

As an AI/ML Developer at our company, you will play a crucial role in designing, developing, and deploying intelligent solutions using cutting-edge artificial intelligence and machine learning technologies. Collaborating with a team of experts in a dynamic environment, you will contribute to high-impact, real-world applications. Your responsibilities will include designing and developing AI/ML solutions based on project and business requirements, researching and implementing machine learning algorithms, and training and optimizing ML models on domain-specific datasets. You will also be involved in functional design, prototyping, and testing of AI/ML components, working within an agile development environment and taking ownership of deliverables. The ideal candidate for this role will have hands-on experience in deep learning techniques such as NLP, Speech, or Computer Vision, proficiency with ML frameworks like PyTorch or TensorFlow, and experience in developing and fine-tuning Large Language Models (LLMs). Strong Python programming skills, experience with RESTful APIs, and familiarity with cloud platforms such as AWS, Azure, or GCP are also required. Additionally, you should possess a solid understanding of algorithms, data structures, and object-oriented design, along with experience in data modeling, database schema design, and version control using Git. Strong analytical and problem-solving skills, as well as excellent verbal and written communication abilities for cross-functional collaboration, are essential. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, with a solid foundation in machine learning principles, algorithms, and statistical modeling. Join us in creating innovative AI/ML solutions that make a real impact in the industry.,

You will be joining Salesforce, the Customer Company, known for inspiring the future of business by combining AI, data, and CRM technologies. As part of the Marketing AI/ML Algorithms and Applications team, you will play a crucial role in enhancing Salesforce's marketing initiatives by implementing cutting-edge machine learning solutions. Your work will directly impact the effectiveness of marketing efforts, contributing to Salesforce's growth and innovation in the CRM and Agentic enterprise space. In the position of Lead / Staff Machine Learning Engineer, you will be responsible for developing and deploying ML model pipelines that drive marketing performance and deliver customer value. Working closely with cross-functional teams, you will lead the design, implementation, and operations of end-to-end ML solutions at scale. Your role will involve establishing best practices, mentoring junior engineers, and ensuring the team remains at the forefront of ML innovation. Key Responsibilities: - Define and drive the technical ML strategy, emphasizing robust model architectures and MLOps practices - Lead end-to-end ML pipeline development, focusing on automated retraining workflows and model optimization - Implement infrastructure-as-code, CI/CD pipelines, and MLOps automation for model monitoring and drift detection - Own the MLOps lifecycle, including model governance, testing standards, and incident response for production ML systems - Establish engineering standards for model deployment, testing, version control, and code quality - Design and implement monitoring solutions for model performance, data quality, and system health - Collaborate with cross-functional teams to deliver scalable ML solutions with measurable impact - Provide technical leadership in ML engineering best practices and mentor junior engineers in MLOps principles Position Requirements: - 8+ years of experience in building and deploying ML model pipelines with a focus on marketing - Expertise in AWS services, particularly SageMaker and MLflow, for ML experiment tracking and lifecycle management - Proficiency in containerization, workflow orchestration, Python programming, ML frameworks, and software engineering best practices - Experience with MLOps practices, feature engineering, feature store implementations, and big data technologies - Track record of leading ML initiatives with measurable marketing impact and strong collaboration skills Join us at Salesforce to drive transformative business impact and shape the future of customer engagement through innovative AI solutions.,

As a Senior AI Engineer / Data Scientist at our cutting-edge Ed-Tech company based in Delhi, you will play a crucial role in designing, developing, and deploying advanced AI/ML models that have a significant impact on our business. Your focus will be on utilizing AI technologies to enhance education through various initiatives such as automated question generation, assessment engines, personalized learning solutions, AI tutors, and auto-grading of answer sheets. Your key responsibilities will include designing, optimizing, and implementing AI and machine learning models tailored specifically for Ed-Tech use cases. This will involve working on projects related to question generation, auto-evaluation systems, adaptive learning engines, AI tutors, and automated answer sheet grading. Additionally, you will be responsible for integrating AI models with frontend interfaces and backend server logic, handling both structured and unstructured data using SQL and NoSQL databases, and ensuring high standards of data security, privacy, and compliance. To succeed in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 4-6 years of hands-on experience in AI/ML development. You should have a strong background in Generative AI, time series forecasting, recommendation systems, and real-world AI solutions, as well as proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of machine learning algorithms, data structures, model tuning, and evaluation metrics is essential, and experience with Knowledge Graphs and Docker deployments would be beneficial. Furthermore, you should be adept at developing and maintaining microservices-based architectures, possess strong testing skills using platforms like unittest, and excel in communication, documentation, and team collaboration. Prior experience in Ed-Tech or deploying AI solutions in production environments, as well as active contributions to open-source projects or a well-maintained GitHub portfolio, would be considered advantageous. If you are passionate about leveraging AI to solve real-world challenges in the education sector and thrive in a collaborative, innovative environment, we would love to hear from you. Join our team and be part of revolutionizing education through AI-driven technologies.,

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

ValGenesis is a leading digital validation platform provider for life sciences companies, with its suite of products being utilized by 30 of the top 50 global pharmaceutical and biotech companies. These products play a crucial role in achieving digital transformation, ensuring total compliance, and enabling manufacturing excellence and intelligence throughout the product lifecycle. As a part of the team at ValGenesis, you will collaborate with Business Analysts/Product Owners, Developers, SDETs, and others in the development of enterprise software applications. Your responsibilities will include understanding business requirements, participating in the complete development life cycle, designing and implementing test strategies, test plans, test cases, test automation, and execution. You will focus on validating the functionality, performance, and reliability of AI/ML models, evaluating various aspects such as accuracy, bias, robustness, and safety. Additionally, you will track model performance, identify issues, and provide regular reports on quality and reliability. Crafting and refining the prompts or instructions to guide the development of Generative AI models will also be a key aspect of your role. To excel in this position, you should have 2 to 6 years of experience in enterprise software product development lifecycle/phases, along with a solid blend of software testing expertise and a deep understanding of AI/ML concepts, tools, and frameworks. Proficiency in Generative AI model algorithms, training, deployment processes, evaluating model performance metrics, and assessing models for bias, fairness, and ethical concerns are essential requirements. Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFlow, and integrating testing processes into CI/CD pipelines will be advantageous. ValGenesis has been at the forefront of disrupting the life sciences industry since 2005, introducing the world's first digital validation lifecycle management system. The company continues to innovate and expand its offerings, driving an end-to-end digital transformation platform. Joining the ValGenesis team means being part of a customer-focused organization that values open communication, mutual support, and a commitment to excellence. The company fosters a culture of innovation, encourages personal growth, and maintains a relentless pursuit of market leadership. At ValGenesis, the Chennai, Hyderabad, and Bangalore offices operate onsite five days a week, emphasizing the importance of in-person interaction and collaboration for fostering creativity, building a sense of community, and ensuring future success as a company.,

As an experienced AI Architect, you will be responsible for leading the development of AI and Machine Learning infrastructure and specialized language models for HR applications. Your role will involve establishing and leading MLOps practices and driving the creation of scalable, production-ready AI/ML systems. You will collaborate with business teams to discuss the feasibility of AI/ML use cases and translate the vision of business leaders into realistic technical implementations. Your expertise will be crucial in defining the AI architecture, selecting appropriate technologies, designing and implementing robust ML infrastructure and deployment pipelines, and establishing comprehensive MLOps practices for model training, versioning, and deployment. In this role, you will lead the development of HR-specialized language models (SLMs), implement model monitoring, observability, and performance optimization frameworks, and develop fine-tuning strategies for large language models. You will create and maintain data quality assessment and validation processes, design model versioning systems and A/B testing frameworks, and define technical standards and best practices for AI development while optimizing infrastructure for cost, performance, and scalability. To be successful in this position, you should have 7+ years of experience in ML/AI engineering or related technical roles, with at least 3 years of hands-on experience in MLOps and production ML systems. Your expertise should include fine-tuning and adapting foundation models, knowledge of model serving infrastructure and orchestration, proficiency with MLOps tools such as MLflow, Kubeflow, Weights & Biases, and experience in implementing model versioning and A/B testing frameworks. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, as well as experience with cloud-based ML platforms such as AWS, Azure, Google Cloud, are essential. A proven track record of deploying ML models at scale, developing AI applications for enterprise software domains, and knowledge of distributed training techniques and infrastructure will be beneficial. Familiarity with retrieval-augmented generation (RAG) systems, vector databases like Pinecone, Weaviate, Milvus, and understanding of responsible AI practices and bias mitigation are also desired. A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field is required for this position.,

As a Fullstack Software Developer at Ispeck Digital Solutions, you will be responsible for designing and developing parallel N-tier applications for Web/Mobile platforms using Python and Microservices frameworks like FastAPI/Flask on Windows and Linux environments. Additionally, you will have the opportunity to work on highly parallel N-tier applications for Web and Mobile platforms, covering both front end and back end/server side APIs using .Net Core on Windows and Linux environments. Your role will also involve hands-on experience with Cloud-based development and deployment on platforms such as AWS and Azure, as well as working with MySQL and MongoDB databases. You will be expected to design, develop, and maintain front end, back end, and info model components for web applications while adhering to Security Standards for API design and cloud security. Proficiency in Python design and development, Angular, SQL, and DOT NET Core development is essential for this role. Experience with REST APIs, creating API-centric microservices applications, and working with API connections will be required. Knowledge of code documentation, versioning, and code testing using tools like Swaggar is also necessary. Familiarity with MySQL and MongoDB, as well as multithreading, asynchronous, and/or multiprocessing for both back end and front end development, will be beneficial. Candidates with experience in AWS Cloud services, Docker/kubernetes, and DevOps tools, as well as knowledge of Visual Analytics algorithms like Yolov4/5, UNet, Imagenet using TensorFlow 2 and Pytorch in Linux and Windows, will have an advantage. Some frontend/mobile development skills in Angular, React, and Flutter are also desirable but not mandatory. The ideal candidate for this position should be a quick and self-learner of new technologies, a team player, and proficient in spoken and written English to collaborate effectively with International team members. Please note that this is a full-time position based in Kolkata and requires physical presence in the office. Only candidates based in Kolkata or willing to relocate should apply, with preference given to those who can join immediately. In return, you will receive a fixed monthly salary, leave benefits, performance bonus, and health insurance as part of your remuneration package.,

Software Engineer Dev Python AI/ML REQ/0749 Job Id: REQ/0749 Location: Chennai Experience: 3 to 8 Years CTC: 10L to 18L Date Posted: 15-Jul-2025 Employment Type: Permanent No. of Openings: 6 Looking for an ML Engineer to design & implement AI/ML models using Python, TensorFlow, PyTorch, Scikit-learn. Optimise models, run experiments, transform data via classification/clustering, and stay updated on the latest AI/ML advancements. Desired Candidate Profile 3 years of experience in Software Design & Development in Python Makes pragmatic technical decisions beyond immediate scope Strong in debugging complex issues and mentoring junior engineers Solid understanding of Data Structures and OOP Proficient in TDD, Unit & Integration testing Experience with Databases, Statistics, and Data Science Skilled in Python; can write robust, testable code Hands-on with ML frameworks: Keras, PyTorch, scikit-learn AutoML experience is a plus Familiar with AI Cloud platforms: H2O, DataRobot, AWS, Azure Education/Specific Knowledge Bachelors or Above Degree in any discipline Key Skills Python, AI/ML, Keras, PyTorch, scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, MySQL or Oracle or PostgreSQL, XML, Unit Testing Highlights To know the benefits of Sysvine please visit the bottom of this page. We are open to considering candidates who are on a long break but are still passionate about restarting their careers. Our Benefits India Annual Team Trips Happy Fridays GameVine - Annual Games AimVine - Annual Party Social Responsibilities - Tree Planting, Volunteering for Orphans, Gadget Donations, Blood Donations Camps, Flood Relief Support, Cyclone Relief Support Health Campaigns Birthday Celebrations First Aid & Fire Safety Training Guest Speakers Benefits Accidental Insurance Family Health Insurance Parental Health Insurance Sick Leave Casual Leave Privilege Leave Floating Leave Holidays Short Term Disability Insurance Long Term Disability Insurance Employee Referral Bonus Product Referral Bonus Sodexo Passes Remote Working Flexible Working Hours Maternity Benefit Leave Encashment Tuition Reimbursement Niceties Welcome Kit MacBook Pro iPhones and Android Phones for Mobile Departments Coffee and Biscuits Recreation Room Resting Room Fitness Programmes and Equipment International Traditional Day Personal Tax Management Sessions Shuttle Services from/to Train Big Monitor Recognition Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Overseas Deputations Leadership Training Programs Technical Conferences Engaging Ethical Diverse Team Lunches D-Day (Difficult Day Policy) I-Day (Inconvenient Day Policy) Technical Conferences Personal Financial Management Sessions Leadership Training Programs Tax Saving Sessions Guest Speakers Benefits Health Insurance Unemployment Insurance Paid Time Off Floating Leaves 8 Holidays Short Term Disability Insurance Workmen Compensation Employee Referral Bonus Product Referral Bonus CalSavers Tuition Reimbursement Recognition Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Technical Conferences

Job Description Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Beckman Coulter Diagnostics, one of Danahers 15 operating companies, our work saves livesand were all united by a shared commitment to innovate for tangible impact. Youll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danahers system of continuous improvement, you help turn ideas into impact innovating at the speed of life. As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratorys role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision makingwe are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the Danaher Business System which makes everything possible. The Senior AI Data Scientist is responsible for the design development and support of Artificial Intelligence (AI) systems spanning the fields of Generative AI (Gen AI), agentic workflows, Machine Learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA). These systems will support all aspects of Quality, Regulatory and Clinical Affairs (QRC). This position reports to the Sr. Senior Manager Innovation DBSL and AI and is part of the Quality, Regulatory and Clinical Affairs team located in Bangalore and will be an on-site role. In This Role, You Will Have The Opportunity To Design, develop, and deploy cutting-edge AI and machine learning solutions, including Generative AI and agentic workflows, that directly enhance Quality, Regulatory, and Clinical Affairs (QRC) functions. Lead the full lifecycle of AI applications, from initial data gathering and model development to robust deployment, hosting, and ongoing maintenance in production environments, leveraging DevOps and full-stack development principles. Drive data-driven decision-making by applying advanced analytics and data visualization techniques, transforming complex data into actionable insights for business stakeholders using tools like Power BI. Explore and integrate new and emerging AI technologies, continuously improving existing solutions and identifying innovative use cases to expand our AI capabilities across QRC. Build custom applications and integrate solutions on top of existing enterprise systems and as standalone tools, utilizing both traditional programming (Python/R) and low-code/no-code platforms within the Microsoft Power Platform suite. The essential requirements of the job include: Bachelors degree in computer science, Computer Information Systems or related field with 5 years of experience or a Masters degree in related field with 3 years of experience. Proficient in programming languages such as Python or R, with experience in developing ML models, custom pipelines, and working with open-source AI libraries (e.g., Hugging Face, Scikit-learn, Lang Chain, TensorFlow, etc.). Practical experience using AI, ML, and Generative AI in real-world applications is essential. Strong data analytics and advanced analytics skills, including the ability to pull data, derive insights, and provide visualizations using business-friendly applications like Power BI. Experience with deploying, hosting, and maintaining AI applications and models in production environments, demonstrating a foundational understanding of DevOps principles, full-stack development, and the ability to build custom applications on top of enterprise systems and standalone solutions. Familiarity with Microsoft Power Platform (Power Apps, Power Automate, Power BI) for developing low-code/no-code solutions and integrating workflows. It would be a plus if you also possess previous experience in: FDA Regulated industry experience. In-depth understanding of AI, ML, Generative AI, and their applications in the healthcare and diagnostics industry. Join our winning team today. Together, well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview : The Boeing AI India team is seeking a highly motivated and talented Early Career AI/ML Research Engineer to join our dynamic team as Associate Software Engineer – AI/ML . The ideal candidate will have strong technical expertise in Machine Learning with a Masters’ degree in a relevant field and possess a passion for advancing the state of the art in AI technologies. This role offers an exciting opportunity to contribute to innovative projects and collaborate with a team of experts in a fast-paced environment. This position will be based out of Bangalore, India and will work with other colleagues located in India, United States and other global locations. This position may require occasional (10%) travel within India and internationally. Position Responsibilities: Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers. Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications. Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products. Developing data visualization techniques and implementing data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau and Power BI. Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Help in the adoption of new tools and technology, perform Proof-of-concepts. Documenting results of research and development projects and provide input for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements. Basic Qualifications (Required Skills/Experience): Bachelor’s degree in computer science, Software Engineering, or a related field from a Tier 1/reputed academic institution. Strong technical experience in developing & delivering machine learning solutions. 5+ years of relevant experience with bachelors or Masters with 4+ years' related work experience or PhD in Computer Science, Software Engineering, or a related field with a focus on AI/ML and Computer Vision. Proficiency in programming languages such as Python, C++, or similar, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Solid understanding of machine learning algorithms, computer vision techniques, and image processing. Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment. Strong communication skills, both written and verbal, with the ability to present complex ideas clearly. Preferred Qualifications (Desired Skills/Experience): Experience with large-scale datasets and cloud computing platforms (e.g., AWS, Google Cloud). Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies. Knowledge of additional areas such as natural language processing or reinforcement learning is a plus. Experience in publishing in top-tier conferences & journals. Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5+ years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience etc.) Relocation: This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Aug. 01, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Technology->Artificial Intelligence->Computer Vision Job Overview: As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies. 2. Technical Skills: Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision Tools: Expertise in OpenCV, Dlib, and other image processing libraries. Model Deployment: Experience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). Algorithms: Strong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming Languages: Proficient in Python, C++, and other relevant programming languages for computer vision tasks. Data Handling: Experience working with large datasets, data augmentation, and preprocessing techniques. Optimization: Skills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes.

We're Hiring: Data Science Engineer (Python) Location: A-50, Second Floor, Sector-67, Noida-201301 Experience: 03 Years Company: Crosslynx US LLC Are you passionate about solving real-world problems using data and Python? Join our team at Crosslynx and work on innovative projects in AI, ML, and cloud-based analytics platforms. About Us Crosslynx US LLC is a global leader in Product Engineering and Cloud Engineering , delivering cutting-edge solutions across industries. With expertise in AI/ML, Embedded Systems, Cloud Applications, RF Design, and Quality Assurance , we empower enterprises worldwide. Our R&D and development centers are located in Milpitas (California, USA) and Noida (India) . Role Overview As a Data Science Engineer , you’ll be responsible for building scalable data pipelines, developing machine learning models, and integrating data-driven solutions into enterprise platforms. You’ll collaborate with cross-functional teams to deliver high-impact analytics and AI solutions. Key Responsibilities Develop and maintain Python-based data processing and analytics pipelines Work with structured and unstructured data from multiple sources and databases Build and deploy machine learning models using frameworks like scikit-learn, TensorFlow, PyTorch Implement data visualization dashboards using tools like Plotly, Dash, or Streamlit Ensure data integrity, security, and compliance across systems Collaborate with software engineers, data analysts, and product teams Write unit tests and debug data workflows for reliability and scalability Use version control tools like Git for collaborative development Required Skills Strong proficiency in Python and familiarity with Python testing frameworks (e.g., Pytest, Robot) Experience with ORM libraries and database schema design Understanding of multi-process architecture and event-driven programming Basic knowledge of HTML5, CSS3, JavaScript for dashboard integration Familiarity with templating engines (e.g., Jinja2) Knowledge of authentication/authorization across systems Strong debugging and unit testing skills Experience with Git/SVN for version control Preferred Skills Exposure to data science libraries like Pandas, NumPy, Matplotlib Experience with cloud platforms (AWS, GCP, Azure) Familiarity with CI/CD pipelines for model deployment Understanding of data security and compliance standards Knowledge of API integration and microservices architecture Perks & Benefits Healthy work-life balance Freedom to innovate and express ideas Opportunities to work with global clients Exposure to cutting-edge technologies in AI/ML, IoT, 5G, Cloud Ready to Apply? Send your resume to prabha.pandey@crosslynxus.com Let’s build intelligent solutions together!

Locations: Bangalore/ Gurgaon Role and Responsibilities: SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions. Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies. Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment. Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems. Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization. Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects. Qualifications: Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions. Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment. Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or similar. (Preferred not mandatory) Leadership: Demonstrable leadership ability, with experience managing and mentoring teams. Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions. Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

Position: AI/ML Lead (Associate Director Level) Experience: 12+ years Mode: Hybrid Salary: Upto 75 LPA We are looking for hiring a AI/ML Lead for one of our well established MNC Client Proficiency in understanding pulling structured and unstructured data from legacy systems to create a data architecture that can drive AI/ML efforts. Ability to engage actively with internal stakeholders, helping them understand the intricacies of AI/ML solutions and factors involved in successful execution. Ability to leverage latest AI offerings (ChatGPT, GPT 4, CoPilots, Tesseract OCR, OCR with CNN) from Microsoft, AWS, IBM and other providers to deliver solutions specific to the business interests Deep hands-on understanding of OCR and BI technologies Proven track record in thought leadership, particularly in IT modernization and innovation, to expedite immigration benefits and solve business problems. Solution Architect mindset, adept in planning data usage for delivering outcomes through multiple applications and continuously improving AI & ML models. Essential Qualifications: 12+ years in IT with a focus on enterprise data architecture, ML, and BI 5+ years leading data teams around enterprise scale AI/ML or RPA efforts 3+ years hands-on experience leading teams on use of deep learning frameworks (e.g. Tensorflow or PyTorch) Experience with Prompt Engineering for conversational AI Proficiency in managing big data and distributed computing environments (e.g., Databricks, Spark, Dask). Proven experience in leveraging LLMs for analytics and decision making Highly proficient in AWS or Azure data processing (e.g., EC2, S3, Redshift). Hands-on leadership of Bachelor's degree in Data Science, Statistics, Computer Science, IT Management, Engineering, or similar. Bonus Qualifications: Expertise in Advanced AI Domains: Proficiency in areas such as Natural Language Processing (NLP), OCR with CNN, and AGI showcasing a broad and deep understanding of AI technologies. Client Engagement and Collaboration: Excellent skills in engaging with clients, coupled with a strong ability to collaborate on new ideas and concepts, indicating both interpersonal and creative capabilities. Innovation and Team Leadership: Experience in creating and implementing innovative roadmaps and aligning teams for efficient delivery, reflecting leadership and strategic planning abilities. Data Process Management: Demonstrated expertise in managing and moving data through various processes, ensuring accountability for outcomes, emphasizing operational and execution skills. Work Ethic and Team Spirit: An independent worker who embodies a strong work ethic and team spirit, ensuring a balance between autonomy and collaboration.

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

We are looking for a seasoned fullstack developer who combines hands-on technical skills with strong experience in AI/ML and a deep understanding of market & website analytics. This role will play a strategic part in building intelligent platforms and driving data-informed decisions. Key Responsibilities Lead fullstack development across products (preferably using Node.js, React/Angular, MongoDB/PostgreSQL) Build and integrate AI-powered features (NLP, predictive analytics, automation workflows, recommendation systems) Implement and analyze data from tools like Google Analytics, Mixpanel, Amplitude, Hotjar, etc. Develop dashboards and data visualizations to support marketing and product teams Collaborate with designers, data engineers, and product managers to align tech with business strategy Own product performance and conversion metrics with regular audits and improvements Evaluate user behavior, funnels, and attribution to improve product and marketing decisions Required Skills Strong fullstack capabilities (JavaScript, Node.js, React/Angular, APIs, databases) Solid understanding and practical experience in AI/ML frameworks (e.g., Python, TensorFlow, Hugging Face, OpenAI API, Langchain) Proficiency with website analytics, user behavior tracking, and A/B testing Experience in building or integrating marketing analytics systems Ability to generate insights from data and present them meaningfully to stakeholders Knowledge of SEO, CRO, and performance optimization best practices Skills:- NodeJS (Node.js), MongoDB, Python, API and Search Engine Optimization (SEO)

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.