25 Aiml Development Jobs

Bright Vision Technologies is offering an immediate Full-time opportunity for an AI/ML Engineer. At Bright Vision Technologies, we are dedicated to transforming aspirations into reality, providing growth opportunities for IT professionals and recent graduates alike. We have a successful track record of over a decade in H1B filings and offer end-to-end support, transparent processes, access to top clients, and green card sponsorship for eligible candidates. As an AI/ML Engineer at Bright Vision Technologies, you will be responsible for building scalable machine learning models, deploying them using AWS SageMaker or Azure ML, collaborating with data engineers for seamless integration, designing and implementing models using scikit-learn or TensorFlow, developing and maintaining APIs using RESTful principles, and troubleshooting and resolving complex technical issues related to AI/ML and data engineering. To qualify for this opportunity, you should have a minimum of 7+ years of experience in AI/ML development, excellent programming skills, a passion for delivering high-quality solutions, and good communication skills to work collaboratively with clients and team members. Please note that as part of the H-1B visa sponsorship process, there are various fees and expenses associated with filing and processing the application. While we are committed to supporting you through this process, we kindly request that candidates cover some of the costs such as premium processing (if applicable) and dependent visa fees. However, we will reimburse 50% of the fee after 4 years of continuous employment with us. If you are interested in exploring this opportunity further, kindly send your resume directly to Darshan at darshan@bvteck.com. For immediate consideration, you can contact us at the provided phone numbers. Thank you for considering our offer, and we look forward to hearing from you soon.,

The ideal candidate for this role should have a solid experience of 4.5-6 years in developing and optimizing complex AI/ML applications. You should possess a strong understanding of AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, etc. Additionally, you must have hands-on experience in using AI/ML development tools and technologies. Familiarity with software testing and debugging best practices is also essential for this position. Your primary skill should be AI/ML Development, with sub-skills in AI/ML Development. Having additional skills in TensorFlow and PyTorch would be advantageous for this role.,

At Novartis, we are committed to reimagining medicine through the utilization of data and digital technologies to revolutionize our interactions with patients, healthcare professionals, and healthcare systems. As a Senior Data Engineer in the Data & Digital Commercial organization, you will play a pivotal role in establishing the technical framework for AI-powered commercial solutions, enhancing engagement, access, and performance on a global scale and within local markets. This role at a mid-management level involves a blend of hands-on data engineering, overseeing deliveries, managing vendors, and collaborating with stakeholders. You will be instrumental in developing pipelines and data platforms that facilitate AI/ML applications in areas such as sales effectiveness, omnichannel marketing, customer segmentation, and real-world commercial insights. In this role, you will be responsible for shaping and owning the product roadmap for AI solutions that drive next-generation commercial capabilities. This includes intelligent targeting, omnichannel orchestration, and optimization of engagement with healthcare professionals. You will drive innovation by exploring new AI technologies, validating concepts through MVPs and pilots, and scaling valuable solutions. Your role will also involve translating commercial objectives into actionable technical requirements and solution architectures. Leading cross-functional teams comprising data science, data engineering, MLOps, and digital product specialists will be a key aspect of your responsibilities. You will oversee the end-to-end technical delivery process, from data ingestion and model development to deployment, monitoring, and retraining. It will be crucial to ensure that the models are performant, scalable, secure, and seamlessly integrated into platforms such as CRM and content engines. Collaborating with commercial stakeholders, including field teams, marketing, and analytics, will be essential for defining needs, aligning priorities, and driving adoption. You will act as a bridge between business and technical teams, effectively communicating trade-offs, timelines, and value propositions. Your thought leadership will be influential at various levels, from operational teams to senior leadership. In addition to technical responsibilities, ensuring compliance with Novartis standards and external regulations is paramount. Embedding ethical AI principles into product design, such as fairness, transparency, and accountability, is essential for responsible AI implementation. The role will require expertise in core technical focus areas such as AI/ML development (supervised learning, NLP, recommender systems), data infrastructure (scalable pipelines, real-time data ingestion, structured/unstructured healthcare data), MLOps (model deployment, versioning, monitoring), integration (REST/gRPC APIs, CRM integration), and cloud platforms (AWS, Azure, GCP). To qualify for this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. With over 10 years of product management experience, including at least 5 years in AI/ML or data-centric product delivery, you should possess a strong technical foundation and a track record of collaborating closely with engineering and data science teams. Experience in healthcare or life sciences environments is advantageous. At Novartis, we are dedicated to fostering a diverse and inclusive work environment that reflects the patients and communities we serve. We are committed to providing reasonable accommodations for individuals with disabilities during the recruitment process. If you are passionate about making a difference in the lives of patients and communities through innovative science and collaboration, we invite you to join our team at Novartis and be a part of a community of smart, dedicated individuals working towards breakthroughs that transform lives. For further information about Novartis and our culture, visit: https://www.novartis.com/about/strategy/people-and-culture If you are interested in exploring other career opportunities at Novartis, join our talent community here: https://talentnetwork.novartis.com/network To learn more about the benefits and rewards of working at Novartis, read our handbook here: https://www.novartis.com/careers/benefits-rewards,

You are looking for talented and innovative AI/ML Specialists to join your team. The ideal candidate will have experience in designing, developing, and deploying machine learning models, working with large datasets, and optimizing AI-driven solutions for various applications. If you are passionate about AI and machine learning and want to work on cutting-edge technology, we encourage you to apply. Responsibilities: - Design, develop, and deploy AI and machine learning models for real-world applications. - Train, test, troubleshoot and fine-tune machine learning models to enhance accuracy and performance. - Work with large-scale datasets to extract meaningful insights and improve model efficiency. - Develop and integrate AI/ML algorithms into production systems. - Optimize models for scalability, efficiency, and real-time performance by staying updated with industry new trends & technologies. - Implement and maintain MLOps practices for continuous integration and deployment of AI models. Requirements: - Bachelors or Masters degree in Computer Science and Engineering. - Proven expertise in AI/ML development and deployment. - Proficiency in programming languages (Python, R, Java). - Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. - Strong understanding of deep learning, natural language processing (NLP), and computer vision. - Knowledge of cloud computing platforms such as AWS, Google Cloud, or Azure. - Experience with big data technologies like Hadoop or Spark is desirable. - Familiarity with model versioning, model monitoring, and MLOps best practices. - Strong problem-solving and analytical skills. Preferred Qualifications: - Experience with AI model deployment in cloud environments. - Contributions to open-source AI projects or published research in AI/ML. If you are excited about AI and machine learning technology and want to make an impact, the team would love to hear from you!,

Qualcomm India Private Limited is a leading technology innovator in the Engineering Group, specifically in Systems Engineering. As a Qualcomm Systems Engineer, you will be involved in researching, designing, developing, simulating, and validating systems-level software, hardware, architecture, algorithms, and solutions to drive the development of cutting-edge technology. Collaboration across functional teams is essential to meet and exceed system-level requirements and standards. To qualify for this role, you should possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with at least 8 years of experience in Systems Engineering. Alternatively, a Master's degree with 7+ years of experience or a Ph.D. with 6+ years of experience in the same field is also acceptable. Currently, Qualcomm is seeking a Principal AI/ML Engineer with expertise in model inference, optimization, debugging, and hardware acceleration. The role focuses on building efficient AI inference systems, debugging deep learning models, optimizing AI workloads for low latency, and accelerating deployment across various hardware platforms. In addition to hands-on engineering tasks, the role also involves cutting-edge research in efficient deep learning, model compression, quantization, and AI hardware-aware optimization techniques. The ideal candidate will collaborate with researchers, industry experts, and open-source communities to enhance AI performance continuously. The suitable candidate should have a minimum of 20 years of experience in AI/ML development, with a focus on model inference, optimization, debugging, and Python-based AI deployment. A Master's or Ph.D. in Computer Science, Machine Learning, or AI is preferred. Key Responsibilities of this role include Model Optimization & Quantization, AI Hardware Acceleration & Deployment, and AI Research & Innovation. The candidate should have expertise in optimizing deep learning models, familiarity with deep learning frameworks, proficiency in CUDA programming, and experience with various ML inference runtimes. Qualcomm encourages applicants from diverse backgrounds and is an equal opportunity employer. The company is committed to providing reasonable accommodations to individuals with disabilities during the hiring process. It is vital for all employees to adhere to applicable policies and procedures, including those related to confidentiality and security. Qualcomm does not accept unsolicited resumes or applications from staffing and recruiting agencies. For further information about this role, interested individuals may reach out to Qualcomm Careers.,

About the Role: We are seeking a highly skilled AI Full-Stack Developer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven applications. This role requires expertise in both front-end and back-end technologies, as well as experience in integrating AI/ML models into scalable web applications. Key Responsibilities: AI/ML Development: - Develop and integrate AI/ML models into web applications. - Optimize model performance and deployment. - Work with frameworks like TensorFlow, PyTorch, or OpenAI APIs. Front-End Development: - Build responsive and interactive UI/UX using React.js, Angular, or Vue.js. - Optimize applications for speed and scalability. Back-End Development: - Develop robust RESTful or GraphQL APIs. - Work with Node.js, Python (Django/Flask/FastAPI). - Manage databases (SQL/NoSQL) and cloud services. DevOps & Deployment: - Deploy AI models and applications on cloud platforms (AWS, GCP, Azure). - Work with Docker, Kubernetes, CI/CD pipelines. Collaboration & Innovation: - Work closely with data scientists, designers, and product teams. - Stay updated with AI advancements and industry best practices. Requirements: Education & Experience: - Bachelors/Masters degree in Computer Science, AI, or a related field. - 4+ years of experience in full-stack development with AI integration. Technical Skills: - Proficiency in Python, JavaScript/TypeScript, and relevant frameworks. - Experience with AI/ML frameworks (TensorFlow, PyTorch, OpenAI API). - Strong knowledge of databases (PostgreSQL, MongoDB, Firebase). - Experience with cloud computing (AWS Lambda, Google Cloud Functions). - Proficiency in Docker, Kubernetes, and CI/CD pipelines. Soft Skills: - Strong problem-solving abilities and analytical thinking. - Excellent communication and teamwork skills. Must Have: - Experience with LLMs (Large Language Models) and NLP. - Familiarity with MLOps practices. - Knowledge of Web3 or blockchain technologies. Why Join Us - Work with cutting-edge technologies and a talented team. - Competitive salary and benefits package. - Flexible work environment with growth opportunities. - Access to professional development and learning resources.,

As an AI Specialist - Accounting Automation & Implementation, you will collaborate with leadership and functional teams to identify key areas for AI-driven improvements in accounting, tax, and audit workflows. Your responsibilities will include designing, developing, and implementing AI solutions such as data extraction, document classification, anomaly detection, and automation of repeatable tasks. You will also be responsible for training and fine-tuning machine learning models using company data to ensure compliance with US and Canadian accounting and regulatory frameworks. In this role, you will integrate AI tools with existing software platforms like QuickBooks, Xero, and Excel. You will lead training sessions and workshops for staff on the use of new AI tools and workflows. Monitoring AI system performance, troubleshooting issues, and recommending enhancements will be part of your daily tasks. It is crucial to stay updated with emerging AI technology trends, especially those relevant to accounting and finance. Documenting processes, model parameters, and providing regular updates to stakeholders will also be essential. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. A minimum of 3 years of experience in AI/ML development and implementation, with accounting industry experience highly preferred, is required. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn is essential. Experience with natural language processing, OCR, and RPA tools, as well as familiarity with common accounting platforms and their APIs, will be advantageous. Strong programming skills in Python, R, or similar languages are a must. Excellent communication and training skills are necessary, with the ability to explain complex technical concepts to non-technical staff. Proven project management and problem-solving abilities are also desired. Preferred attributes for this role include experience in US/Canadian tax, accounting, or audit process automation, certifications in AI/ML or data science, knowledge of US/Canadian data privacy and security regulations, and prior experience in an outsourced or BPO environment. You will be expected to ensure all data handling and AI use adhere to client confidentiality and international data privacy laws.,

Tarento is a fast-growing technology consulting company with a headquarters in Stockholm and a strong presence in India, serving clients globally. Specializing in digital transformation, product engineering, and enterprise solutions across various industries such as retail, manufacturing, and healthcare, our teams merge Nordic values with Indian expertise to deliver innovative and high-impact solutions. Recognized as a Great Place to Work, we boast an inclusive culture, strong leadership, and a commitment to employee well-being and growth. Joining Tarento means being part of a collaborative environment that values ideas, fosters continuous learning, and builds careers driven by passion and purpose. As the Lead Software Engineer / Tech Lead at Tarento, you will serve as a hands-on technical leader guiding a team of engineers in designing, developing, and delivering critical components of Bhashini 2.0. Your responsibilities include ensuring technical excellence, maintaining code quality, and upholding architectural guidelines within your domain while actively contributing to code development and mentoring team members. Your key responsibilities will include leading the technical design and implementation of microservices and features within your assigned domain, writing high-quality and secure code primarily using Python (Flask), conducting code reviews, decomposing complex product features into actionable technical tasks, acting as a technical subject matter expert, collaborating with the Lead Technical Architect, mentoring junior and mid-level engineers, and working closely with Product Owners and Scrum Masters for effective feature delivery. Must-Have: - 5+ years of software development experience, with a minimum of 2 years in a technical lead or senior engineering role. - Strong hands-on proficiency in Python, particularly with web frameworks like Flask. - Extensive experience in designing, developing, and consuming RESTful APIs. - Proven expertise with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB). - Familiarity with message queuing systems (e.g., Kafka) for event-driven architectures. - Experience with containerization (Docker) and deploying applications on Kubernetes. - Solid understanding of software design patterns, data structures, and algorithms. - Familiarity with DevOps practices and collaboration with operations teams. - Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality software. - Excellent communication and interpersonal skills, with a proven ability to lead and motivate a technical team. Good to Have: - Experience with frontend technologies (e.g., JavaScript frameworks) to understand full-stack implications. - Exposure to AI/ML development principles, especially in NLP or Speech technologies. - Experience in a fast-paced, agile development environment (Scrum/Kanban). - Contributions to open-source projects.,

We are seeking a skilled and experienced AI/ML Engineer to join our Bangalore-based team. The ideal candidate will have a strong background in machine learning, data preprocessing, and deploying AI solutions in cloud environments. This role requires a hands-on professional with a consulting mindset who can translate business needs into actionable AI/ML solutions. The candidate will lead and support the design, implementation, and optimization of AI-powered tools across various business or public sector environments. The role also includes client interaction, mentoring junior staff, and contributing to end-to-end project lifecyclesfrom data ingestion to model deployment and monitoring. Lead the design and implementation of AI/ML solutions for clients. Translate business problems into technical requirements and model-driven solutions. Perform data preparation tasks, including cleansing, preprocessing, and handling missing or inconsistent data. Work with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Leverage cloud-based AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI. Provide functional support and guidance during implementation and post-deployment phases. Analyze and redesign business processes as required by AI implementations. Mentor junior team members and support business stakeholders in AI adoption. Engage directly with clients and senior stakeholders to drive solution outcomes. Collaborate across global virtual teams and contribute to best practices in AI solution delivery. To be successful in this role, you must have a Masters degree in computer science, Data Science, AI/ML, or a related technical discipline. Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer Associate, TensorFlow Developer Certificate) are required. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines for ML models) is essential. Exposure to Natural Language Processing (NLP), Computer Vision, or Deep Learning projects is preferred. Understanding of data privacy, model interpretability, and responsible AI principles is necessary. Experience working in cross-functional teams and global delivery models is an advantage. Prior experience in client-facing roles within consulting or IT services companies is beneficial. Strong business acumen and ability to communicate AI/ML concepts to non-technical stakeholders is crucial. The must-have skills for this role include 3+ years of hands-on experience in AI/ML development or consulting, proficiency in data preparation, including cleansing, feature engineering, and data validation, strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI), excellent problem-solving and communication skills, and ability to work in dynamic and globally distributed teams. Good-to-have skills include prior consulting experience with public or private sector clients, familiarity with DevOps and MLOps practices for model deployment and monitoring, exposure to business process mapping and improvement initiatives, and experience leading or supporting client-facing workshops or strategy sessions. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team - one of the largest IT and business consulting services firms in the world.,

As a Full Stack Lead at our Gurugram location with 7-11 years of experience, you will play a crucial role in leading and managing a team of developers to ensure alignment with project goals and timelines. Your responsibilities will include designing and implementing scalable and maintainable software systems, overseeing high-quality software development practices, and working closely with cross-functional teams to integrate AI models into the product. Taking ownership of system architecture and design decisions, you will also be involved in the development of AI models and their deployment, while ensuring proper version control and CI/CD processes are followed. Your expertise will be crucial in assisting with problem-solving, technical challenges, and staying updated with emerging technologies and AI trends. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Engineering, or a related field, along with 6+ years of software development experience, including at least 2 years in a leadership position. Your strong expertise in programming languages such as Python, Java, or similar, coupled with in-depth experience in AI/ML development and working with LLMs, will be essential. Additionally, your experience in system design, architecture, development practices, software development best practices, agile methodologies, and cloud platforms (AWS, Azure, GCP) will be highly valued. Join us in this exciting opportunity to lead a team, drive innovation, and contribute to cutting-edge projects in the field of software development and AI integration.,

As the Chief Talent Officer at QuantumBot, you will play a pivotal role in leading the recruitment efforts to attract and retain top-tier talent in the fields of Python, React, AI/ML development, and techno-sales roles. Your strategic leadership skills will be put to the test as you develop and implement comprehensive recruitment strategies, build and manage a high-performing recruitment team, and establish robust hiring processes to ensure efficiency and quality in talent acquisition. Your key responsibilities will include leading the recruitment efforts for technical roles such as Python, React, and AI/ML developers within strict timelines, overseeing high-volume hiring processes for techno-sales executives, and proactively engaging passive candidates using advanced recruitment tools and techniques. You will also be responsible for setting and tracking key performance metrics for the recruitment team, optimizing recruitment workflows, and collaborating with department heads to understand hiring needs and deliver tailored recruitment solutions. To excel in this role, you should have a minimum of 10+ years of proven experience in hiring for technical roles and techno-sales positions, with a track record of success in high-volume hiring environments. Your expertise in building and managing recruitment pipelines, knowledge of recruitment tools and advanced sourcing techniques, exceptional leadership and communication skills, and ability to thrive in a fast-paced, deadline-driven environment will be critical to your success. Joining QuantumBot will offer you the opportunity to shape the talent ecosystem of a rapidly growing AI and technology company, lead impactful recruitment initiatives, and enjoy opportunities for career growth and leadership development. If you are a recruitment leader with a passion for excellence and a proven track record, we invite you to apply now to lead QuantumBot's talent acquisition journey.,

As a Tech Co-Founder at our disruptive tech-based platform, you will play a crucial role in shaping the future of our business. Based on a remote/flexible location with occasional in-person meetings, you will be offered a significant stake in the company as part of the compensation package, transitioning from equity-based rewards to a combination of salary and equity as the company scales. Our platform aims to revolutionize the e-commerce landscape by connecting customers directly with premium brands, offering exclusive deals while eliminating middlemen. We are committed to providing cost-savvy, socially conscious, and authentic shopping experiences to our users. Your responsibilities will include providing technology leadership by ensuring the scalability of our platform, making strategic tech stack decisions, and aligning the tech roadmap with business goals and customer needs. You will also be responsible for building and leading a tech team, fostering innovation, and excellence while mentoring junior developers. In terms of product development, you will create and optimize customer-facing features, develop tools for brands, and ensure an intuitive, user-friendly interface with a strong focus on customer satisfaction. You will also be tasked with implementing robust cybersecurity measures to protect customer data and brand relationships. Key qualifications for this role include expertise in full-stack development, proficiency in modern frameworks, experience in building scalable web and mobile applications, and familiarity with e-commerce and subscription platforms. Additionally, experience in AI/ML and data analytics, cloud infrastructure, problem-solving mindset, and soft skills such as an entrepreneurial mindset and excellent communication skills are highly desirable. Joining us as a co-founder will offer you the opportunity to shape the future of our business, with significant equity in the company, growth opportunities, and a vision-driven culture that aims to provide authentic shopping experiences and foster brand-customer loyalty while making a positive social impact. If you are passionate about building impactful products, possess the necessary technical expertise and soft skills, and are excited about the prospect of revolutionizing the e-commerce landscape, we look forward to hearing from you. Let's build something incredible together!,

Are you a skilled AI/ML engineer with 4-6 years of experience seeking a high-impact opportunity to lead the development of AI-driven solutions for a cutting-edge ERP platform If so, we have the perfect role for you! We are looking for a Senior AI/ML Engineer to join our dynamic team in Mohali, Punjab. In this role, you will be responsible for architecting and implementing AI solutions that optimize ERP processes such as sales forecasting, inventory management, and customer behavior analysis. You will have the chance to work on exciting projects in predictive analytics, automation, and advanced data insights. Key Responsibilities: - Architect and implement AI/ML models to optimize ERP processes - Develop and maintain scalable data pipelines for structured data flow - Collaborate with cross-functional teams to design and deploy AI solutions - Deploy AI models into production and monitor performance - Stay up-to-date with the latest AI/ML technologies and integrate them into the ERP platform - Troubleshoot and fine-tune AI models for improved outcomes - Provide technical expertise and support for project execution Requirements: - 4-6 years of AI/ML development experience - Proficiency in AI/ML frameworks like TensorFlow, PyTorch, or ML.NET - Hands-on experience with C#/.NET, SQL Server, and building AI models for enterprise applications - Experience in managing data pipelines using SQL, Spark, or Hadoop - Strong problem-solving and analytical skills - Excellent communication skills for effective collaboration Education: - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field Join our fast-growing, innovative team and be part of shaping the future of ERP with advanced AI initiatives. Apply today with your updated resume and seize the opportunity to make a significant impact in the industry!,

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 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.,

OneOrigin is an innovative company based in Scottsdale, AZ and Bangalore, India, dedicated to utilizing the power of AI to revolutionize the operations of Higher Education institutions. Their cutting-edge software solutions aim to streamline administrative processes, enhance student engagement, and facilitate data-driven decision-making for colleges and universities. As an AI Developer at OneOrigin in Bangalore, you will be responsible for creating and implementing advanced AI-driven solutions to empower intelligent products and optimize business operations across various domains. Working closely with data scientists, software engineers, product teams, and stakeholders from different departments, you will design scalable AI systems using cutting-edge machine learning techniques to address complex challenges. Your responsibilities will include designing, developing, and deploying sophisticated AI/ML models for real-world applications, leveraging AI frameworks like TensorFlow, PyTorch, Keras, and Hugging Face Transformers. You will also explore Generative AI applications, manipulate large datasets using tools such as Pandas, NumPy, SQL, and Apache Spark, and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes. Collaboration with cross-functional teams to integrate AI solutions into products, drive experimentation, implement automation opportunities, and stay updated on AI advancements will be key aspects of your role. You are required to have a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5-8 years of hands-on experience in AI/ML development. Proficiency in Python, experience with Deep Learning, NLP, Computer Vision projects, and Cloud platforms (AWS, GCP, Azure) is essential. Your strong problem-solving skills, communication abilities, and expertise in API development will be crucial for successfully tackling complex challenges and collaborating effectively across diverse teams and departments. Join OneOrigin in their mission to make AI accessible and impactful for higher education institutions!,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensure safe, compliant, and robust model behavior will be a crucial part of your role, including prompt validation, output moderation, and access controls. Collaboration with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI will also be expected. Furthermore, you will contribute to system observability via dashboards and logging, as well as support post-deployment model monitoring and optimization. To excel in this role, you must have proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions. A solid understanding of Agentic AI design patterns, strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration are essential. Experience with implementing AI guardrails, proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration are also required. Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns is a plus. Preferred qualifications include experience working on AI projects in regulated environments (Banking domain), hands-on experience with cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI, knowledge of prompt engineering, RLHF, and LLM observability frameworks, as well as experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards.,

As an experienced Data Architect with a focus on advanced analytics and Generative AI solutions, your role will involve architecting and delivering cutting-edge analytics and visualization solutions utilizing Databricks, Generative AI frameworks, and modern BI tools. You will be responsible for designing and implementing Generative AI solutions, integrating frameworks like Microsoft Copilot, and developing reference architectures for leveraging Databricks Agent capabilities. In this position, you will lead pre-sales engagements, conduct technical discovery sessions, and provide solution demos. You will collaborate with various stakeholders to align analytics solutions with business objectives and promote best practices for AI/BI Genie and Generative AI-driven visualization platforms. Additionally, you will guide the deployment of modern data architectures that integrate AI-driven decision support with popular BI tools such as Power BI, Tableau, or ThoughtSpot. Your role will also involve serving as a trusted advisor to clients, helping them transform their analytics and visualization strategies with Generative AI innovation. You will mentor and lead teams of consultants, ensuring high-quality solution delivery, reusable assets, and continuous skill development. Staying current on Databricks platform evolution, GenAI frameworks, and next-generation BI trends will be crucial for proactively advising clients on emerging innovations. To be successful in this role, you should have at least 8 years of experience in data analytics, data engineering, or BI architecture roles, with a minimum of 3 years of experience delivering advanced analytics and Generative AI solutions. Hands-on expertise with the Databricks platform, familiarity with Generative AI frameworks, and strong skills in visualization platforms are essential. Pre-sales experience, consulting skills, and knowledge of data governance and responsible AI principles are also required. Preferred qualifications include Databricks certifications, certifications in major cloud platforms, experience with GenAI prompt engineering, exposure to knowledge graphs and semantic search frameworks, industry experience in financial services, healthcare, or manufacturing, and familiarity with MLOps and end-to-end AI/ML pipelines. Your primary skills should include Data Architecture, with additional expertise in Power BI, AI/ML Architecture, Analytics Architecture, and BI & Visualization Development. Joining Infogain, a human-centered digital platform and software engineering company, will provide you with opportunities to work on cutting-edge projects for Fortune 500 companies and digital natives across various industries, utilizing technologies such as cloud, microservices, automation, IoT, and artificial intelligence.,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python (primary), with knowledge of JavaScript, SQL, and NodeJS being beneficial. You should have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and an understanding of Generative AI models, including LLMs. Additionally, you should have expertise in designing and implementing efficient prompts for Generative AI, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers like Flask, Django, FastAPI for scalable AI applications is required. Previous experience in Generative AI application development, especially in designing prompts for LLMs is preferred. Knowledge of SQL and NoSQL databases such as MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also required. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices, including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications would be a plus. Qualifications required for this role include a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Your skills should cover containerization technologies (Docker), AI/ML development, TensorFlow, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, API, ML, LLM/OpenAI API, and application integration.,

You will be joining Olympus Corporation, a globally renowned leader in endoscopy enabled healthcare with a rich history spanning nearly a century. Olympus is committed to integrity, innovation, and quality, excelling in various fields including endoscopy, microscopy, life sciences, and digital imaging. As the Sr Manager, India, you will be leading the digital engineering R&D and acting as the business process owner for Olympuss Standard Operating Procedures related to digital product development. Your responsibilities will include overseeing digital systems design, cloud architecture, data engineering, AI/ML development, software integration, and more. You should be a strategic thinker with a deep understanding of digital technologies and a proven track record of managing high-performing teams in a global environment. Your role will involve setting up the Digital Unit engineering R&D function globally and executing digital engineering projects to align with Olympus global R&D strategy. You will lead the digital engineering teams in India, focusing on project planning, budget management, and technical oversight to meet project timelines and deliverables efficiently. Additionally, you will be responsible for providing strategic oversight in the development of digital systems and software, ensuring compliance with regulatory standards. Collaboration with global and India leadership teams will be essential to drive innovation and enhance operational efficiency. Key responsibilities include further developing the delivery scope and technology focus of the hub, optimizing workflows, enhancing digital engineering processes, collaborating with global teams, and implementing cutting-edge technologies. You will lead NPD activities, define digital strategies for medical devices, oversee system design and development, and ensure solutions meet performance and security requirements. Your background should include a degree or higher qualification in Computer Science, Digital Systems Engineering, or Software Engineering, with proven experience in creating and establishing software R&D teams globally. You should have expertise in digital engineering, cloud systems, AI/ML development, medical device regulations, and leading teams in digital systems and software development. Proficiency in project management, vendor partner management, cybersecurity risk management, and AI/ML technologies will be crucial for success in this role. Overall, you will play a pivotal role in driving innovation, improving operational efficiency, and enhancing patient and customer experiences through digital engineering excellence at Olympus Corporation.,

As an experienced Data Science Architect, you will be responsible for architecting and delivering data-driven solutions across the full project lifecycle. Your exceptional communication skills will allow you to effectively convey complex technical concepts to both business stakeholders and engineering teams, ensuring alignment and decision-making. You will excel at translating strategic business requirements into scalable and secure technical designs and roadmaps. Your expertise in Data Science, Machine Learning (ML), and GenAI will be put to use in hands-on model development, training pipelines, and integrating GenAI to transform analytics and AI proof-of-concepts into production realities. You will leverage your deep knowledge of data architecture and pipeline development to design ETL/ELT workflows, data lakes, and real-time data platforms. Proficiency in at least one major cloud ecosystem (AWS, Azure, or Google Cloud) covering compute, storage, networking, and managed data services is essential. With 6-8 years of experience in the field, your primary skillset should revolve around Data Science, supported by expertise in Python, Data Modeling, AI/ML Development, and GenAI Fundamentals. Joining Infogain, a human-centered digital platform and software engineering company, will allow you to work with Fortune 500 companies and digital natives across various industries, leveraging technologies such as cloud, microservices, automation, IoT, and artificial intelligence to drive business outcomes. Infogain, a Microsoft Gold Partner and Azure Expert Managed Services Provider, operates globally with offices and delivery centers in multiple locations.,

Join us at NextEdge Institute of Learning and be a part of our mission to shape tomorrow's tech talent! We are currently seeking full-time Instructors/Teachers who are not only skilled but also deeply passionate about imparting in-demand tech skills. If you excel in teaching across various domains such as Web Development (Frontend + Backend), DevOps Engineering, AI/ML Development, Digital Marketing, and general Computer Fundamentals, and possess a strong understanding of applying programming languages in real-world scenarios, we would like to hear from you. A bonus if you have expertise in Full Stack Development, trending AI/ML technologies, Communication & Personality Development. The working hours for this role are from 10:00 AM to 7:00 PM, and our location is in Ibrahimpur, Near Police Chowki, North Delhi - 110036. Please note that we are a growing institute with limited resources, making it an ideal opportunity for individuals looking to grow with us rather than just work for us. If you are ready to inspire the next generation of tech professionals, we are eager to have a conversation with you. To apply, please send your resume to shanwajk113@gmail.com. (Please apply only if you are comfortable with the location.),

You will be responsible for applying advanced machine learning and AI techniques to solve real-world business problems. This includes performing data analysis, feature engineering, model development, and evaluation using Python. You will be building, testing, and deploying ML models for various use cases such as classification, regression, NLP, or forecasting. Collaboration with stakeholders to define problem statements and deliver impactful data science solutions will be a key aspect of your role. It is essential to ensure scalability, performance, and reliability of data models in production environments. You are expected to continuously research and implement the latest advancements in AI/ML algorithms and tools. Your strong foundation in Data Science principles and statistical analysis will be crucial, along with deep expertise in AI/ML algorithms including supervised, unsupervised, and deep learning techniques. Hands-on programming experience in Python and common ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, and PyTorch is required. Experience working with structured and unstructured data will also be beneficial. Your ability to translate business requirements into technical solutions is essential for success in this role. With 6-8 years of experience, you should possess primary skills in Data Science and additional skills in Python, AI/ML Development, and Data Science. About the Company: Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. They engineer business outcomes for Fortune 500 companies and digital natives in various industries using technologies like cloud, microservices, automation, IoT, and artificial intelligence. Infogain accelerates experience-led transformation in the delivery of digital platforms and is recognized as a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP). With offices in multiple locations worldwide, Infogain offers a dynamic and diverse work environment for professionals in the technology sector.,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python as primary, with knowledge of JavaScript, SQL, and NodeJS being beneficial. You must have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and understanding of Generative AI models including LLMs. Expertise in designing and implementing efficient prompts for Generative AI is necessary, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers (Flask, Django, FastAPI) for scalable AI applications is required. You should also have previous experience in Generative AI application development, especially in designing prompts for LLMs. Knowledge of SQL and NoSQL databases like MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also a must. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications is also an advantage. You should hold a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. In addition to the required experience, skills in containerization technologies (Docker), AI/ML development, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, and API/ML are necessary for this role.,