7846 Artificial Intelligence Jobs - Page 25

Yokogawa is a renowned provider of industrial automation, test and measurement, information systems, and industrial services across various industries. As an award-winning company recognized for Best Asset Monitoring Technology and Best Digital Twin Technology, our focus is on shaping a better future for the planet. We are dedicated to supporting the energy transition, biotechnology, artificial intelligence, industrial cybersecurity, and more, aligning with the United Nations sustainable development goals by leveraging our expertise in measurement and connectivity. Joining our team means becoming part of a global workforce of 18,000 employees spanning over 60 countries, united by a corporate mission to "co-innovate tomorrow". We are seeking dynamic individuals who are passionate about technology and environmental sustainability. In exchange, we offer exceptional career growth opportunities within a diverse cultural environment that values respect, collaboration, integrity, value creation, and gratitude in all aspects of our work. The ideal candidate for this role will have knowledge of YIL CIBD deliverables and possess experience in the South India industry sector with established customer relationships. Proficiency in product communication networking, demonstration, and commissioning is essential, along with a strong technical understanding of the CIBD product line. Additionally, effective communication and presentation skills are required to excel in this position. If you have been referred to one of our positions, we encourage you to inquire about our Employee Referral process through your connection at Yokogawa. Join us in our mission to drive innovation and make a positive impact on the world.,

As a Principal Scientist within the Preclinical Safety (PCS) Pathology Team at Novartis, you will play a crucial role in advancing translational safety omics data analysis to support innovative drug discovery and development efforts. Your responsibilities will involve collaborating closely with pathologists, bench scientists, and subject matter experts across different Novartis sites such as the USA and Switzerland. Your expertise in omics-based data science and your dedication to enhancing multimodal data analysis in translational drug safety will be key to success in this role. Your day-to-day tasks will include using machine learning and statistical methods to analyze spatial transcriptomics and spatial proteomics data from raw reads, comparing and contrasting different omics data sets, conducting multimodal analysis with other data modalities, and supporting various projects with data science expertise in fields like gene and cell therapy, target discovery, genetics, drug safety, and compound screening. Additionally, you will be expected to innovate by leveraging Data Science and Artificial Intelligence to solve problems effectively, communicate regularly with stakeholders, evaluate new technologies and scientific software, and independently identify and apply research articles to business problems. To qualify for this position, you should hold a Master's or Ph.D. in Data Science, Computational Biology, Bioinformatics, or a related discipline. You must be proficient in programming languages and data science workflows such as Python, R, Git, UNIX command line, and high-performance computing clusters. A minimum of 5 years of experience in analyzing large biological datasets in a drug discovery/development or academic setting is required, along with proven expertise in exploratory data analysis, statistical inference, and machine learning algorithms. Your collaborative mindset, exceptional communication skills, and ability to work in an agile environment will be essential for success in this role. Novartis is a company dedicated to improving and extending people's lives, with a strong belief in the power of medical science and digital innovation. The organization values diversity, equity, and inclusion, fostering an environment that encourages new ways of working and collaboration. By joining Novartis, you will have the opportunity to work in an unbossed culture that promotes integrity, curiosity, and flexibility, allowing you to tackle challenging medical problems with courage and ambition. Novartis is committed to creating an inclusive work environment that reflects the diversity of the patients and communities it serves. If you are interested in exploring career opportunities at Novartis, you can join the Novartis Network to stay connected and receive updates on future roles that align with your goals. Novartis offers a range of benefits and rewards to support your personal and professional growth. To learn more about the opportunities available and the company's commitment to helping you thrive, you can refer to the Novartis handbook on benefits and rewards.,

You should have knowledge of Java, Advance Java, Data Analytics, Data Science, Web Design, Python, Machine Learning, and Artificial Intelligence. The minimum qualification required for this role is a Bachelor's Degree. You should have at least 1 year of experience. The salary offered for this position ranges from 14,000 to 25,000 per month. This is a full-time, permanent job. Benefits include commuter assistance and internet reimbursement. The work schedule is during the day shift. There is also a performance bonus available. The preferred education level is a Bachelor's degree. Preferred experience includes 1 year of teaching experience and 1 year of total work experience. This position requires in-person work. The expected start date for this role is 07/07/2025.,

As a Data Management Specialist, your responsibilities will include defining project specifications for Data Management services such as Protocol Conversion, Database Build, CRF Design, and Data Review and Data Reconciliation tools. You will need to have a clear understanding of external data collection, its integration into clinical trials, and the processes required for management and reconciliation to maintain accuracy and relevance. Your role will involve executing data cleaning strategies to expedite subject data cleanliness and ensure the delivery of high-quality and timely outcomes. You will be responsible for conducting holistic data review and trending analysis through reporting and elluminate analytics to proactively identify issues, risks, and develop effective mitigation strategies. Utilizing artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection will be a key aspect of your responsibilities to enhance the efficiency and quality of trial data. Monitoring and interpreting key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports will enable you to provide actionable recommendations to study leads or project managers. You will be involved in query management, defining specifications, and collaborating with the technical team on configuring a centralized data management platform, elluminate Data Central for data cleaning strategy and oversight activities. It will also be essential for you to prepare and maintain data management documentation and update them throughout the trial lifecycle. Ensuring the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate Data Central with analytics modules will be part of your role. You will actively evaluate and contribute to enhancing processes to increase efficiency and effectiveness. Collaboration and teamwork are crucial in this role to ensure that deliverables are completed on time and with high quality. Compliance with industry quality standards, regulations, guidelines, and procedures will also be a key focus, along with any other duties as assigned.,

As an AI/ML Engineer, you will be a valuable member of our team, contributing to the development of intelligent systems that harness the power of machine learning and artificial intelligence. Your primary responsibilities will include designing, creating, and implementing machine learning models to address a variety of use cases, such as prediction, classification, NLP, and computer vision. You will collaborate closely with diverse teams to deliver innovative solutions that tackle real-world challenges effectively. Your key responsibilities will involve: - Designing and implementing machine learning models and algorithms for different applications. - Analyzing and preprocessing extensive datasets to establish resilient training pipelines. - Staying abreast of the latest advancements in AI/ML through research and integrating relevant techniques into projects. - Training, fine-tuning, and optimizing models to ensure high performance and scalability. - Deploying models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Working alongside software engineers, data scientists, and product teams to seamlessly integrate AI/ML solutions into applications. - Monitoring model performance in production, continuously iterating for enhancements, and documenting design decisions, code, and models for transparency and reproducibility. Preferred qualifications for this role include: - Proficiency in NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). - Familiarity with deep learning architectures like CNNs, RNNs, GANs, or transformer models. - Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). - Previous contributions to open-source AI/ML projects or publications in relevant conferences/journals. If you are passionate about AI/ML technologies and eager to work on cutting-edge solutions that make a meaningful impact, we encourage you to apply for this exciting opportunity to join our dynamic team.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

Join our Team About this opportunity: As the Improvement & Performance Manager-Packet Core for Service Line Operate Service Improvement, you will play a crucial role within the organization. Reporting to the Manager-Service Improvement, you will be responsible for identifying, driving, supporting, and facilitating efficient and effective transformations and changes. Your focus will be on translating business needs into tangible business results, delivering improved customer, operational, and financial performance impact, as well as driving required culture changes. What you will do: - Drive improvement projects in MS contracts/delivery organization with defined tangible business targets aiming at cost reduction and improved customer experience. - Be accountable for WO/ticket/alarm reduction initiatives per contract. - Perform Alarm, TT, WO correlations to resolve chronic network issues, validate and analyze network performance reports, and prepare action plans for network improvement. - Participate in technical discussions to enhance overall network performance and provide recommendations from a problem management perspective. - Propose and ensure best practices are followed within all related functions. - Monitor KPI trends and conduct post-deviation analysis. - Identify, prescribe, and drive the implementation of proactive prevention methods in problem handling. - Maintain and track actions taken to drive improvements following governance methods. - Identify Single Point of Failure (SPOF) and drive mitigation plans to minimize impact. - Maintain a RISK register for identified risks and drive efforts to minimize impact or mitigate risks. - Collaborate with Data Analytics teams to build models for prescriptive insights. - Propose predictive analytic models based on alarms/outages and QoS using Capacity & Utilization trends. - Engage with operations and other teams to ensure timely closure of actions. - Prioritize problems based on risk, impact, and severity. - Contribute to developing and maintaining a good record of problems, root causes, and solutions in a knowledge base for reducing repetitive incidents due to the same problem. The skills you bring: - Knowledge of 4G/5G network architecture, call flow, interfaces, and ability to analyze call flow traces for the resolution of customer complaints. - Familiarity with data analytic tools like Power BI, TABLEAU, MS Excel, etc. - Ability to independently drive projects/assignments as per customer requirements. - Strong analytical skills to identify improvement areas in customer networks and suggest proactive solutions. - Proficient in presentations and understanding of Service Related KPIs and User perception. - Understanding of Machine Learning, Artificial Intelligence, and Automation. - Ability to perform new Project ORQ (operation request) assessment and KPI analysis after new change implementation in the network. - Knowledge of EBP (Ericsson Business Process and Finance Processes). Key Qualification: - BE/B.Tech (Telecommunication/ Computer Science)/MBA - Industry experience: 6 years and above - Telecoms Operations, with at least 6 years of hands-on experience in PACO/CS Core domain (Experience with Ericsson, Nokia, or Huawei nodes),

As an Analytics Engineer at State Street Corporation, you will play a crucial role in transforming raw data into clean, organized, and accessible datasets to create compelling narratives backed by insights. You will be responsible for designing and developing comprehensive analytics solutions and interactive dashboards using your advanced engineering and analytics skills. Your role will involve combining and analyzing multiple datasets with proficiency in Python and SQL, preparing high-quality reports for various stakeholders, and proactively identifying opportunities to streamline reporting processes through data engineering and automation. You will independently drive stakeholder engagements, collaborate with cross-functional teams, and leverage your expertise in Python, SQL, Databricks, Tableau, and other tools to deliver impactful analytics solutions. Your responsibilities will include implementing data validation frameworks, enhancing reporting infrastructure, and ensuring the integrity, consistency, and accuracy of data used in reporting. To be successful in this role, you should have a Bachelor's degree or higher in a relevant field such as Computer Science/Engineering, Statistics, or Finance, along with 7-10 years of experience in a data engineering/analytics role. You should have proven experience in developing automated reports and visualizations, as well as proficiency in Python, SQL, Databricks, Power BI, and Tableau. Experience in financial services or risk/control functions is a plus. You should possess strong analytical skills, project management abilities, and the capacity to influence cross-functionally in a dynamic business environment. Additionally, you should have a curious mindset, excellent communication skills, and the ability to manage multiple projects concurrently. Fluency in English is required. At State Street Corporation, we offer a permanent contract of employment, additional holidays, a gold medical package, life insurance, a private pension plan, employee savings plan, and various well-being programs. You will have access to soft skills training, technical workshops, language classes, and development programs. We provide opportunities for volunteering and offer technical and leadership career pathways. If you are a candidate who embraces change, innovation, data-driven decision-making, and collaboration, you could be a great fit for our team. Your diverse background and experiences are valued, and we encourage you to apply even if you do not fulfill all the requirements listed in the job description. State Street is a leading custodian bank, asset manager, and asset intelligence company with a strong presence in the financial services industry. We have been serving institutional clients for over two centuries, providing investment servicing, data & analytics, investment research & trading, and investment management solutions. If you are looking for a challenging role that offers global exposure, continuous training, and opportunities for personal and professional growth, consider joining our team at State Street Corporation. For more information about our company and career opportunities, visit StateStreet.com/careers.,

Are you a tech-savvy individual with a passion for Artificial Intelligence and Machine Learning Dalnex is seeking a dynamic AI intern to join our innovative team! As an AI intern at Dalnex, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in the field of AI. Your day-to-day responsibilities will include assisting in developing AI models and algorithms to improve business processes, collaborating with team members to analyze data and create predictive models, conducting research on the latest AI trends and technologies, implementing and testing AI solutions in real-world scenarios, participating in brainstorming sessions to ideate new AI-driven initiatives, assisting in optimizing existing AI systems for better performance, and presenting findings and recommendations to stakeholders. If you are a proactive and ambitious individual looking to kickstart your career in AI, apply now to join Dalnex as an AI intern! About Company: At Dalnex, we strive to improve efficiency & optimize lifestyle by driving the world's transition to smart institutions using IoT solutions and providing optimal functionality. LazyNest is a brand under Dalnex that delivers innovative solutions to make living, work, commercial, and community spaces smarter.,

Arivon is seeking an Artificial Intelligence (AI) Software Engineer with expertise in generative AI, Natural Language Processing (NLP), and LLM. The ideal candidate should have a minimum of 5 years of experience in NLP and Generative AI and LLM research. The role involves tasks such as language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, and efficient training and inference. Additionally, the candidate should have experience in multilingual and multimodal modeling. The AI Software Engineer should have hands-on experience with Machine Learning (ML), NLP, and Deep Learning (DL) frameworks like PyTorch, Tensorflow, and SFT on LLM. Proficiency in leveraging LangChain for the development and integration of LLMs into various applications is essential. The candidate should demonstrate a strong ability to enhance AI functionalities through innovative applications of natural language processing and understanding. Experience with model quantization or computational optimizations is considered a plus. Familiarity with cloud platforms such as AWS, GCP, and Azure is advantageous, and prior experience in the Healthcare domain is a bonus. The role also involves designing methods, tools, and infrastructure to advance the state of the art in large language models. Responsibilities include deploying, monitoring, and managing ML models in production to ensure high availability and low latency. The candidate will be expected to manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools. A Master's degree in computer science, computer engineering, or a related technical field is required, while a Ph.D. in AI, computer science, data science, or related fields is preferred. Proficiency in programming languages like Python is necessary for this role.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. As a Software Engineer III, your job responsibilities include executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. You will create secure and high-quality production code, maintain algorithms that run synchronously with appropriate systems, and produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Additionally, you will gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identifying hidden problems and patterns in data and using these insights to drive improvements to coding hygiene and system architecture is also part of your responsibilities. You will contribute to software engineering communities of practice and events that explore new and emerging technologies, while adding to the team culture of diversity, opportunity, inclusion, and respect. To qualify for this role, you need formal training or certification on software engineering concepts and at least 3 years of applied experience. Hands-on practical experience in system design, application development, testing, and operational stability is required. Proficiency in Java/J2EE and REST APIs, Python, Web Services, and experience in building event-driven Micro Services and Kafka streaming is essential. Experience in RDBMS and NOSQL database, working proficiency in developmental toolset like GIT/Bitbucket, Jira, and maven, as well as experience with AWS services are necessary. You should also have experience in Spring Framework Services in public cloud infrastructure, proficiency in automation and continuous delivery methods, and be proficient in all aspects of the Software Development Life Cycle. Demonstrated knowledge of software applications and technical processes within a technical discipline, solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, and overall knowledge of the Software Development Life Cycle are also required. Additionally, you should have experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, and in-depth knowledge of the financial services industry and their IT systems. Preferred qualifications, capabilities, and skills for this role include AWS certification, experience on cloud engineering including Pivotal Cloud Foundry, AWS, experience in PERF testing and tuning as well as shift left practices, and DDD (domain-driven design). Experience with MongoDB is also preferred for this position.,

About Us We are a consumer-first fitness technology company that blends smart fitness devices with a highly engaging mobile app . Our mission is to help users build lasting health habits through connected experiences, real-time performance tracking, and goal-based workouts. Alongside our app and devices, we also operate an e-commerce website to serve our customers directly. Role Overview We are looking for a Product Manager with 3+ years of experience who is passionate about building consumer-grade mobile apps in the fitness and wellness space. You will lead the development and improvement of our apps core features including workout experiences , user retention journeys , and AI-driven personalization . You will collaborate with cross-functional teams across design, development, marketing, and data to build digital experiences that drive user engagement, conversion, and retention. Key Responsibilities • Own and drive the product roadmap for our B2C fitness mobile app across iOS and Android • Translate business needs and customer feedback into detailed product requirements • Use data to prioritize product features and continuously optimize UX, UI, and flows • Define and monitor KPIs for user engagement, app store ratings, conversion funnels, and website performance • Collaborate with design, engineering, and QA to ship product improvements and new features • Coordinate closely with marketing and customer support teams to align product releases with campaigns and feedback • Support A/B testing and personalization experiments on both web and app • Stay informed about basic AI/ML capabilities (e.g., personalization, recommendations, NLP) and help identify areas where AI can enhance product value Requirements • 3+ years of product management experience in consumer mobile apps (health, wellness, fitness preferred) • Strong analytical and problem-solving skills; experience with tools like Google Analytics, Amplitude, or Firebase • Understanding of UI/UX best practices and user behavior on mobile and web platforms • Ability to define clear PRDs, wireframes (basic), and user stories • Familiarity with Agile/Scrum methodology • Basic understanding of AI/ML use cases in consumer products (e.g., chatbot, recommendation engines) • Excellent communication and collaboration skills • Bachelor’s degree in Engineering, Business, or a related field Nice to Have • Experience working in a fitness, wellness, or health-tech environment • Exposure to tools like Figma, JIRA, Notion, or similar for product planning Why Join Us? • Shape the future of digital fitness for thousands of users • Own core parts of a product used daily by real customers • Work on mobile and web platforms with potential AI integrations • Be part of a lean, ambitious, and fast-growing team

- Proficiency in LLM systems, prompt fine-tuning - experience with infrastructure management, model deployment, and optimization. - Understanding of cloud architecture, performance and scalability. - Experience with machine learning frameworks Health insurance Provident fund

We're Hiring: Sr. Software AI Engineer AI & ML Location: Remote / On-site Specify Type: Full-time | Join Within: 30 Days Department: AI & Machine Learning Apply Now: nitu.singh@simplifyhealthcare.com At Simplify Healthcare , we're on a mission to transform payer operations through automation, intelligence, and next-gen AI. Founded in 2008, were a leading healthcare IT company driving innovation across health insurance platforms. Our latest game-changer? A powerful agentic AI platform built on LLMs and Retrieval-Augmented Generation (RAG) . This is your chance to work on meaningful real-world problems, from automating claims to intelligent provider queries all while shaping the future of healthcare. What Youll Do: As a Senior AI/ML Engineer , you'll play a pivotal role in building intelligent agents and conversational AI systems that make healthcare smarter, faster, and more human. You will: Design & build LLM-powered RAG pipelines with Azure Cognitive Search or similar vector databases. Develop conversational agents using LangChain , Python , and cutting-edge agent frameworks. Fine-tune or prompt-tune LLMs (Azure OpenAI) for healthcare insurance use cases. Integrate structured & unstructured data (MongoDB, MSSQL) into AI workflows. Build high-performance APIs with FastAPI for real-time model serving. Collaborate across teams to enhance product UX and AI performance. Optimize agent memory, reasoning, and multi-agent collaboration. Drive innovation with A/B testing , prompt engineering , and LLM evaluation cycles . Skill Required: 3+ years of experience in AI/ML or NLP engineering. Solid experience building RAG pipelines , LLM-based applications , or vector search . Strong skills in Python and FastAPI or Flask. Hands-on with MongoDB , unstructured/structured data integration. Understanding of prompt engineering , multi-agent systems , and context optimization . Experience with Azure cloud AI services is a huge plus. Great communication and cross-functional collaboration skills. Bonus Points If You Have: Worked on agentic AI architectures or multi-agent orchestration . Integrated claims, benefits, or policy data into AI workflows. Knowledge of healthcare payer systems , HIPAA , or regulatory environments. Why Simplify Healthcare? Be part of a cutting-edge AI journey in a high-impact domain. Work on real-world challenges that truly matter. Collaborate with a smart, passionate, and supportive team. Enjoy a flexible, innovation-first culture where you own your growth. How to Apply: If you are passionate about AI and can join within 30 days , we would love to hear from you! Please share your CV at: nitu.singh@simplifyhealthcare.com

Greetings from Sun Technologies. Position: AI Engineer Years Of Experience: 5+ Years Work Location: HBR Layout, Bangalore (work from office) Job Type: Permanent/Fulltime Position Interview Mode : Virtual Shift Details: 12:30 PM TO 9:30 PM-IST (Free 2 ways cab with dinner) Roles Responsibilities: Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python If interested please share updated resume to chandanap@suntechnologies.com, appreciate for references.

Key Responsibilities Strategic Leadership: Define and articulate the AI/ML vision and strategy for the company, ensuring alignment with overall business goals. Identify new opportunities to leverage AI/ML to drive innovation, efficiency, and revenue growth. Team Management & Mentorship: Lead, mentor, and grow a high-performing team of data scientists and machine learning engineers. Foster a culture of collaboration, innovation, and continuous learning. Provide technical guidance and career development support to team members. End-to-End Project Ownership: Oversee the entire lifecycle of AI/ML projects, from ideation and requirements gathering to model development, deployment, and monitoring. Ensure projects are delivered on time, within budget, and to the highest quality standards. Technical Architecture & Development: Provide hands-on technical leadership in the design and architecture of scalable and production-ready AI/ML solutions. Stay current with the latest advancements in the field and guide the team in adopting best practices for model development, MLOps, and data governance. Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to identify and prioritize AI/ML use cases. Effectively communicate complex technical concepts and project outcomes to both technical and non-technical audiences. Model Governance & Ethics: Establish and enforce standards for model validation, performance monitoring, and ethical AI. Ensure our models are fair, transparent, and compliant with relevant regulations. Required Skills & Qualifications Educational Background: Degree in Computer Science or Maths, Artificial Intelligence, Statistics, or a related quantitative field. Professional Experience: A minimum of 10 years of professional experience in data science and machine learning, with at least 3-4 years in a leadership or management capacity. Proven Expertise: Demonstrated experience in developing and deploying a wide range of machine learning models, including but not limited to deep learning (CNNs, RNNs, Transformers), natural language processing (NLP), computer vision, and reinforcement learning. Technical Proficiency: Expert-level programming skills in Python. Extensive experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Strong experience with cloud platforms (AWS, Azure, or GCP) and their respective ML services (e.g., SageMaker, Azure ML, Vertex AI). Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Proficiency in data manipulation and analysis using SQL and libraries like Pandas and NumPy. Leadership Acumen: Proven ability to lead and inspire technical teams. Excellent project management, communication, and interpersonal skills. Preferred A portfolio of patents or publications in reputable AI/ML journals or conferences. Experience working in a fast-paced, agile environment. Familiarity with big data technologies like Apache Spark or Hadoop. Experience with building and scaling AI solutions for [mention your specific industry, e.g., FinTech, Healthcare, E-commerce].

We are seeking passionate trainers for our academy across various domains including Software Testing, Full Stack Development (Java, MERN, Python, .NET), Data Science, Data Analytics, and DevOps (AWS/Azure), Gen AI. Contact : Kavya HR - 8148060836

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Scientist with minimum 3 years exp in Data Scientist Mini 3 Years Exp in Computer Vision, NLP and Predictive analytics solutions for various types of business problems. We are looking for a Data Scientist to join our team. You will use various methods to transform raw data into useful data systems. You'll strive for efficiency by aligning data systems with business goals. Job Requirements Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 3 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills. Key traits: Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way. Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai *Kindly fill up below form to submit you registration form: https://forms.gle/G77BJHJUgdHWzqvC6 Preference will be given for Immediate Joiners or who can join within 10-15 days.

We are seeking a highly skilled Technical Trainer with expertise across multiple cutting-edge technologies, including Artificial Intelligence (AI), Python, Machine Learning, Data Science, Cybersecurity, Cloud Computing, Robotic Process Automation (RPA), AutoCAD, and Blockchain. The ideal candidate will have a passion for technology, a deep understanding of industry-relevant tools and platforms, and the ability to explain complex concepts to students and professionals at various experience levels. This role requires both strong technical expertise and the ability to deliver engaging, hands-on training sessions that prepare learners for real-world challenges. Key Responsibilities Training Delivery Conduct in-depth training on the following technologies: Artificial Intelligence (AI) Machine learning algorithms, neural networks, natural language processing (NLP), computer vision, and deep learning. Python Programming Core Python, libraries (NumPy, Pandas, TensorFlow, etc.), data structures, object-oriented programming. Machine Learning Supervised, unsupervised learning, deep learning, model evaluation, and deployment. Data Science Data analysis, data visualization, statistical methods, and predictive modeling using tools like R, Python, and SQL. Cybersecurity Network security, cryptography, ethical hacking, penetration testing, and security protocols. Cloud Computing AWS, Azure, Google Cloud Platform (GCP), DevOps, cloud architecture, and deployment strategies. Robotic Process Automation (RPA) Tools like UiPath, Automation Anywhere, and Blue Prism; automation workflows and bot development. AutoCAD Design principles, 2D/3D drafting, rendering techniques, and architectural drawing practices. Blockchain Blockchain fundamentals, smart contracts, decentralized applications (DApps), and cryptocurrencies. Deliver both beginner and advanced level content in a hands-on, project-based format. Provide practical applications, case studies, and real-world scenarios for better understanding. Content Development Design and develop comprehensive training materials, including: Lecture slides, code samples, and step-by-step guides Hands-on lab exercises, case studies, and assessments Quizzes, mock tests, and project assignments Customize content for varied audiences including fresh graduates, working professionals, and corporate teams. Assessment & Mentorship Design and conduct assessments such as coding challenges, quizzes, and lab tests to measure learner progress. Mentor students on projects, helping them solve technical challenges and understand industry applications. Offer personalized feedback and guidance on career paths within the relevant technical domains. Client & Campus Coordination Travel to client sites, campuses, and partner institutions to conduct training programs and workshops. Coordinate with academic teams, HR departments, or placement cells for smooth session execution. Represent the company during training sessions, ensuring professional delivery and engaging presentations. Required Qualifications Bachelor's or Masters degree in Computer Science, Engineering, or related technical fields. Professional certifications in relevant technologies (e.g., AWS, Python, Machine Learning, RPA tools) are a plus. 26 years of hands-on experience in the specified technologies, with a passion for teaching and sharing knowledge. Key Skills Deep expertise in at least one or more of the following areas: Artificial Intelligence, Python, Machine Learning, Data Science, Cybersecurity, Cloud Computing, RPA, AutoCAD, Blockchain. Strong presentation, facilitation, and communication skills. Ability to simplify complex technical concepts for learners at different levels. Experience with modern teaching tools and platforms (LMS, Zoom, IDEs, cloud-based tools). Ability to mentor and guide students through practical projects, exercises, and career advice. Preferred Attributes Deep expertise in at least one or more of the following areas: Prior experience in delivering corporate training or boot camps in these technical domains. Exposure to project management tools like Jira, Trello, or Asana. Familiarity with coding platforms such as GitHub, Bitbucket, or GitLab. Knowledge of industry standards and certifications in specific domains (e.g., Certified Ethical Hacker, AWS Certified Solutions Architect). Willingness to travel and adapt to different client environments and requirements. Travel Requirements Travel to training locations across cities/states as per schedule (sometimes on short notice). Travel and accommodation expenses will be covered or reimbursed as per company policies. Training duration at client sites may range from 1 day to 2 weeks. What We Offer Competitive salary + travel allowance + performance incentives A dynamic and growth-focused work environment Opportunities to work with reputed academic and corporate partners Ongoing learning & upskilling support

Desired Candidate Profile 6-10 years of experience in software development with expertise in Python full-stack development. Must have experience in Flask Proficiency in at least one frontend framework (React.js/Angular) for building user interfaces. Experience working with natural language processing (NLP) or artificial intelligence (AI) projects is an added advantage. Strong understanding of machine learning concepts including supervised/unsupervised algorithms and deep learning techniques.

Description: Design and implement recommendation algorithms and similarity matching systems. Develop and fine-tune embedding models using sentence transformers and vector similarity techniques Build and maintain taxonomy classification models for expert tagging and content categorization and Implement data validation frameworks and model performance monitoring systems. Work with large-scale datasets for feature engineering and model training. Deploy ML models as scalable REST APIs using FastAPI and containerized environments and develop automated data preprocessing and encoding pipelines. Implement model versioning, monitoring, and automated retraining workflows. Build evaluation frameworks and performance metrics for production models Maintain and optimize ML infrastructure using Docker and container orchestration

About the Role: We are looking for a passionate and driven AI/ML Engineer to join our team. This entry-level position is ideal for recent graduates or professionals with up to 1 year of experience in machine learning, data science, or artificial intelligence. Youll get the opportunity to work on real-world AI problems and contribute to projects involving data processing, model development, and deployment. Key Responsibilities: Assist in developing and deploying machine learning models and AI solutions Preprocess, clean, and analyze large datasets from diverse sources Support in building predictive models using supervised and unsupervised learning techniques Work with senior team members on research, model training, and tuning Document processes, models, and results Collaborate with software engineers and domain experts for integration of ML models Required Skills: Basic understanding of Python, NumPy, Pandas, and Scikit-learn Familiarity with machine learning algorithms (Linear Regression, Decision Trees, etc.) Knowledge of data preprocessing techniques and model evaluation Experience with Jupyter Notebooks Strong analytical and problem-solving skills Ability to learn quickly and work in a team Preferred Skills: Exposure to TensorFlow, Keras, or PyTorch Basic knowledge of NLP, Computer Vision, or Reinforcement Learning Understanding of deployment tools (e.g., Flask, FastAPI, Docker) Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. What We Offer: Exposure to real AI/ML projects Learning and development opportunities A collaborative and innovative work environment Flexible work culture and supportive mentors

About Us: Dexter's Labs is a software company focused on building innovative, tech-driven solutions to real-world business challenges. Our product SkillSauce is an AI-powered candidate assessment platform designed to revolutionize the hiring process. Role Description: This is a role for a experienced Backend Python Developer at SkillSauce located in Noida. The developer will be responsible for developing RESTful APIs, integrating services and collaborating with the tech team. SkillSauce is building tools that simplify recruitment, reduce hiring time, and help companies onboard top talent efficiently. Key Responsibilities: Design, develop, and maintain scalable backend systems using Python Build RESTful APIs and integrate third-party services Write clean, reusable, and testable code Optimize applications for maximum performance and scalability Collaborate with front-end developers, DevOps, and product teams Debug and resolve backend issues quickly and efficiently Maintain and improve existing codebases and peer-review code changes Implement security and data protection best practices Required Skills: Strong proficiency in Python and backend development frameworks (e.g., Django, FastAPI) Familiarity with RESTful APIs and database systems (e.g., PostgreSQL, MySQL, MongoDB) Familiarity with version control tools like Git Good understanding of unit testing and test-driven development Knowledge of cloud platforms (GCP) Experience with Docker and CI/CD pipelines Understanding of microservices architecture Exposure to frontend frameworks or full-stack experience Strong problem-solving mindset and willingness to learn fast Benefits: Innovative Environment: Work on cutting-edge projects that push the boundaries of AI and machine learning. Growth Opportunities: As part of a growing startup, youll have ample opportunities for career advancement and professional development. Flexible Work Culture: Enjoy a flexible, dynamic work environment that values creativity, innovation, and collaboration. Why Join Us: Gain practical experience in sales and business development within a growing startup. Collaborative and inclusive work environment. Opportunity to build a professional network within the SaaS industry. Potential for future full-time employment based on performance and business needs. Working with a highly skilled and productive team. Flexible work hours and agile work environment.

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment