9814 Tensorflow Jobs - Page 46

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

As a Lead Machine Learning Engineer at UPS, you will be part of the UPS Data Science and Machine Learning team focusing on Cross Border logistics. Your role involves managing AI, ML, and GenAI applications, with a specific emphasis on continuous integration and deployment of optimal ML models and analytical systems. You will play a crucial role in the end-to-end lifecycle of AI models, from experimentation to deployment in production, requiring a strong background in prompt engineering and experience with Google Cloud's Vertex AI platform. Your key responsibilities will include leading the development and deployment of generative AI solutions, architecting scalable infrastructure for large-scale AI models, fine-tuning pre-trained models, implementing prompt engineering strategies, and managing the lifecycle of deployed models. Collaboration with cross-functional teams, providing technical leadership, and ensuring responsible and ethical AI development are also essential aspects of this role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, along with 5-8 years of hands-on experience in building and managing machine learning models. Proficiency in prompt engineering techniques, Python programming, TensorFlow, PyTorch, and experience with Google Cloud's Vertex AI platform are necessary. Additionally, familiarity with cloud computing platforms, MLOps practices, and version control systems is highly desirable. Having experience with model governance frameworks, ethical AI practices, generative AI use cases in the Logistics industry, and contributions to open-source projects will be considered advantageous. Keeping abreast of emerging trends in generative AI, reinforcement learning, and federated learning approaches is also beneficial for this role. This is a permanent position at UPS, and the company is dedicated to fostering a workplace free of discrimination, harassment, and retaliation. If you are a self-driven individual with a passion for AI and machine learning, and are eager to contribute to cutting-edge projects in a collaborative environment, this role offers an exciting opportunity to grow and innovate within a Fortune Global 500 organization.,

As a skilled professional, your primary responsibility will involve designing and implementing cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to tackle specific business challenges. You will be tasked with creating conversational AI agents and chatbots that provide seamless, human-like interactions, tailored to meet client needs. Additionally, you will develop and optimize Retrieval-Augmented Generation (RAG) models to enhance AI's ability to retrieve and synthesize pertinent information for accurate responses. Your expertise will be leveraged in managing data lakes, data warehouses (including Snowflake), and utilizing Databricks for large-scale data storage and processing. You are expected to have a thorough understanding of Machine Learning Operations (MLOps) practices and manage the complete lifecycle of machine learning projects, from data preprocessing to model deployment. You will play a crucial role in conducting advanced data analysis to extract actionable insights and support data-driven strategies across the organization. Collaborating with stakeholders from various departments, you will align AI initiatives with business requirements to develop scalable solutions. Additionally, you will mentor junior data scientists and engineers, encouraging innovation, skill enhancement, and continuous learning within the team. Staying updated on the latest advancements in AI and deep learning, you will experiment with new techniques to enhance model performance and drive business value. Effectively communicating findings to both technical and non-technical audiences through reports, dashboards, and visualizations will be part of your responsibilities. Furthermore, you will utilize cloud platforms like AWS Bedrock to deploy and manage AI models at scale, ensuring optimal performance and reliability. Your technical skills should include hands-on experience with PyTorch, TensorFlow, and scikit-learn for deep learning and machine learning tasks. Proficiency in Python or R programming, along with knowledge of big data technologies like Hadoop and Spark, is essential. Familiarity with MLOps, data handling tools such as pandas and dask, and cloud computing platforms like AWS is required. Skills in LLAMAIndex and LangChain frameworks, as well as data visualization tools like Tableau and Power BI, are desirable. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Specialization in deep learning, significant experience with PyTorch and TensorFlow, and familiarity with reinforcement learning, NLP, and generative models are expected. In addition to challenging work, you will enjoy a friendly work environment, work-life balance, company-sponsored medical insurance, a 5-day work week with flexible timings, frequent team outings, and yearly leave encashment. This exciting opportunity is based in Ahmedabad.,

As a Data Scientist AI/ML Developer, you will be responsible for various key tasks related to data collection, analysis, model development, and implementation of advanced technologies. You should have a strong understanding of data science methodologies and experience in working with machine learning models. This position is suitable for freshers as well as candidates with up to 5 years of experience. Your primary responsibilities will include gathering, cleaning, and analyzing large datasets for diverse applications. You will also be involved in building, training, and evaluating machine learning and deep learning models for tasks related to computer vision, natural language processing (NLP), and generative AI. You will utilize OpenCV to create solutions for image classification, object detection, facial recognition, and other vision-based tasks. Additionally, you will develop and fine-tune Generative Adversarial Networks (GANs) for synthetic data generation and image manipulation. Collaboration with cross-functional teams is essential in this role, as you will work closely with data engineers, software developers, and business analysts to integrate data-driven insights into production environments. Staying updated with the latest developments in AI, data science, and generative AI is crucial, and you should be able to apply best practices to projects effectively. Ensuring that machine learning models and data pipelines are scalable, efficient, and ready for production deployment is also a key part of your responsibilities. In terms of required skills, you should have strong proficiency in computer vision techniques using OpenCV, hands-on experience with Generative Adversarial Networks (GANs), and familiarity with LangChain, GPT models, and other generative AI frameworks. Proficiency in Python and relevant ML libraries such as TensorFlow and PyTorch is essential. Expertise in data preprocessing, feature engineering, and working with large datasets is also required. Preferred skills include experience in Natural Language Processing (NLP), model deployment using cloud services and containerization, familiarity with transformer architectures, and knowledge of big data technologies. Additionally, possessing soft skills such as strong problem-solving abilities, effective communication, and a continuous learning mindset will be advantageous in this role.,

As an AI Development and Integration specialist, you will be responsible for developing and optimizing AI solutions using tools like Claude.ai, Perplexity.ai, and other Anthropics-powered systems. Your primary focus will be on building and integrating AI-driven features into EdTech platforms to enhance adaptive learning, content personalization, and intelligent tutoring capabilities. In the realm of EdTech solutions development, you will design AI applications specifically tailored to the education sector. This includes creating virtual tutors, automated assessments, and recommendation systems. It will be crucial for you to collaborate closely with educators and curriculum designers to ensure that the AI functionalities align with educational goals effectively. Your role will also involve model training and fine-tuning, where you will be required to train and optimize LLMs for specific EdTech use cases. This process aims to guarantee the delivery of accurate and meaningful interactions. Additionally, you will apply transfer learning techniques to customize general AI models for education-specific tasks. Utilizing tools like Claude.ai and Perplexity.ai will be essential in your work to create innovative solutions for interactive learning and derive data-driven insights. You will have the opportunity to experiment with features from emerging Anthropics technologies to enhance the capabilities of the EdTech platform continually. Staying updated on the latest developments in AI and EdTech will be a crucial aspect of your role to implement cutting-edge solutions effectively. Engaging in exploratory research to explore how advanced AI tools can address key challenges in the education sector will also be part of your responsibilities. Collaboration and stakeholder engagement will play a significant role in your work, requiring you to work closely with product managers, UX designers, and other developers to deliver AI-powered EdTech features successfully. You will need to effectively communicate AI concepts and capabilities to technical and non-technical stakeholders, ensuring a clear understanding across the board. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. would be advantageous. Demonstrated expertise in working with Claude.ai, Perplexity.ai, and other Anthropics systems is essential. Proficiency in Python and familiarity with AI frameworks like TensorFlow, PyTorch, and Hugging Face are required. A deep understanding of NLP techniques, LLM architectures, and transformer-based models is crucial. Experience with API integrations and deploying AI/ML models in production environments is necessary. Previous experience in developing AI solutions for educational platforms and knowledge of challenges in EdTech, including accessibility, data privacy (e.g., FERPA, GDPR), and scalability, will be beneficial for this role.,

You are a full-time Computer Vision Developer based in Gurugram, responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. Your role includes working on object detection, tracking, OCR, and edge AI deployment. You will collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Your key responsibilities will involve developing and implementing computer vision algorithms, optimizing models for real-time inference on edge devices, preprocessing and annotating image/video datasets for training and validation, training, fine-tuning, and evaluating deep learning models using frameworks like PyTorch or TensorFlow. You will also integrate models into production pipelines, conduct research on state-of-the-art vision techniques, debug, profile, and optimize performance for low-latency deployments, and collaborate across software, hardware, and product teams for end-to-end solution delivery. Qualifications for this role include strong hands-on experience in computer vision, proficiency with deep learning frameworks like PyTorch, TensorFlow, ONNX, experience with pattern recognition, object detection, segmentation, or OCR, familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms, solid understanding of image processing, linear algebra, and optimization techniques, experience with data annotation tools like LabelImg, CVAT, Roboflow, strong problem-solving and debugging skills, and a Bachelors or Masters degree in Computer Science, AI, or related fields. Bonus qualifications include experience with real-time video processing, GStreamer, or edge model quantization.,

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models will be part of your role. It is essential to ensure scalability, performance, and security of AI-driven solutions in production environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, is expected. You will conduct experiments and evaluations to improve AI system accuracy and efficiency while staying updated with the latest advancements in AI/ML research, open-source models, and industry best practices. You should have strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases such as Pinecone, ChromaDB, Weaviate, OpenSearch, and FAISS, is required. Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks is preferred. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary. Experience in Python web frameworks such as FastAPI, Django, or Flask is expected. You should also have experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes) is essential. Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications is a plus. A strong understanding of vector search, embedding models, and hybrid retrieval techniques is required. Experience with optimizing inference and serving AI models in real-time production systems is beneficial. Experience with multi-modal AI (text, image, audio) and familiarity with privacy-preserving AI techniques and responsible AI frameworks are desirable. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation, is a plus. Skills required for this role include PyTorch, RAG architectures, OpenSearch, Weaviate, Docker, LLM fine-tuning, ChromaDB, Apache Airflow, LoRA, Python, hybrid retrieval techniques, Django, GCP, CrewAI, OpenAI, Hugging Face, Gen AI, Pinecone, FAISS, AWS, AutoGPT, embedding models, Flask, FastAPI, LLM APIs, DeepSpeed, vector search, PEFT, LangChain, Azure, Spark, Kubernetes, AI Gen, TensorFlow, real-time production systems, LangGraph, and Kafka.,

As a Lead - AI Engineer at Xerago, you will play a crucial role in driving our mission for customer immortality. Your responsibilities will include managing a team of AI engineers, developing high-quality AI models with strong predictive accuracy, and staying updated on the latest technologies in the field. By collaborating closely with project stakeholders, you will shape AI strategies, oversee timelines, and contribute significantly to the success and growth of our organization. Your influence will extend to our digital impact initiatives, shaping the future of technology at Xerago. In terms of technical responsibilities, you will be responsible for designing, developing, and implementing AI models using Python, TensorFlow, or PyTorch to ensure robustness and accuracy. Collaboration with the data team to clean, manipulate, and analyze large datasets using NumPy, Pandas, or similar libraries will be a key aspect of your role. Additionally, you will oversee the deployment of AI solutions on cloud platforms such as AWS, Google Cloud, or Microsoft Azure to optimize performance and efficiency. On the managerial front, you will lead and mentor a team of AI engineers, providing technical guidance and fostering a culture of continuous learning. Coordination with project stakeholders to define AI strategies, manage timelines, and ensure the successful delivery of AI-driven solutions will also fall within your purview. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Technology, Machine Learning, or a related field with a strong focus on AI and machine learning. Expertise in Python programming languages, deep learning frameworks like TensorFlow or PyTorch, and data manipulation libraries such as NumPy and Pandas is essential. Proficiency in cloud platforms such as AWS, Google Cloud, or Microsoft Azure is a prerequisite, while familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and version control systems (e.g., Git) is desired. Although not mandatory, certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, and TensorFlow Developer Certificate by Deeplearning.ai are considered valuable. Strong communication, leadership, team management, adaptability, problem-solving, and strategic thinking abilities are crucial for success in this role. This is a full-time position with a work schedule of Monday to Friday, requiring in-person presence at the designated work location.,

We are conducting an in-person hiring drive for the position of AIML Engineer in Hyderabad on 26th July 2025. Interview Location is mentioned below: Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081. We are looking for an experienced and talented AIML Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI, ML, LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: AIML Engineer Job Location: All Persistent Location Experience: 4 -12 Years Job Type: Full Time Employment What You'll Do: - Develop and fine-tune LLMs for real-world use cases - Build and optimize RAG pipelines using Langchain or similar tools - Integrate GenAI capabilities into enterprise applications - Hands-on Python coding experience - Work with vector databases and embedding techniques - Collaborate with cross-functional teams on AI-driven features We're looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: - 4+ years of experience working with data science - Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential - Basic understanding of Flask, Django, or FastAPI is a plus - Strong analytical, problem-solving, and troubleshooting skills - Ability to work independently and in a collaborative team environment - Cloud deployment knowledge on AWS, Azure, or GCP is a must You'll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. Benefits: - Competitive salary and benefits package - Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications - Opportunity to work with cutting-edge technologies - Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards - Annual health check-ups - Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: - Accelerate growth, both professionally and personally - Impact the world in powerful, positive ways, using the latest technologies - Enjoy collaborative innovation, with diversity and work-life wellbeing at the core - Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech goes beyond computer code. As a member of the Dolby team, you'll witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks the best talent. With ample resources and a conducive environment, Dolby offers challenging projects, a collegial culture, excellent compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work in terms of location, time, and method. Dolby's research division is seeking an AI researcher to contribute to the development of the next generation of AI-based multimodal technologies. As part of Dolby's research efforts, the candidate will collaborate with Dolby's renowned audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies aimed at driving interactive and immersive experiences. Working within an international team, the senior Generative AI Researcher will explore novel horizons in multimodal analysis, processing, and generation. The responsibilities include conducting fundamental research, technology transfer to product groups, drafting patent applications, and publishing papers. The ideal candidate for this role should possess a strong background in deep learning, encompassing both conceptual understanding and practical experience. Staying updated with the latest literature and implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning are key aspects of the position. Experience or knowledge in the following areas would be beneficial: - Generative modeling for audio and video applications. - Multimodal semantic understanding and reasoning. - Multimodal representations including audio and/or video. - Multimodal AI architectures focusing on generating audio and/or video. - AI-driven enhancement, processing, and generation for audio and/or video applications. - Exposure to various audio and video applications. Collaborating closely with Dolby's Machine Perception and Reasoning team, the candidate will join a group of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. The role involves creating and implementing multimodal AI technologies to develop new experiences and prototypes. The candidate will be responsible for prototyping immersive experiences that enhance immersion and interaction, thereby refining the user experience. Key Responsibilities: - Collaborate with domain experts to execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to innovate new solutions and improve existing applications. - Drive the state-of-the-art and develop intellectual property. - Mentor interns on research problems. - Publish papers in top-tier conferences and journals. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent advancements in deep learning to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. - Experience in AI applied to audio and/or video. - Technical expertise in generative modeling for audio or video. - Strong publication record in top-tier conferences. - Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch. - Ability to innovate new technologies and translate them into products. - Strong communication skills.,

The selected candidate will be working for our Indian JV - D2AI Labs in Bangalore/Chennai/Remote. Key Responsibilities: Lead Agent Development: Architect, build, and deploy the central interface agent that connects and coordinates specialized AI agents. Agent Orchestration: Implement reliable communication, delegation, and data-handling mechanisms between agents. LLM Integration: Fine-tune and integrate LLMs (Azure OpenAI or similar), utilizing advanced prompt engineering techniques. MLOps Implementation: Maintain robust MLOps pipelines, CI/CD workflows, and performance monitoring on Azure. Vector Database Management: Design data pipelines using vector databases like Pinecone, Qdrant, or Milvus for RAG and agent memory. A2A Communication & MCP: Enable advanced agent-to-agent communication using established protocols like MCP/MCPTx. Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions. Optimize AI models for performance, scalability, and accuracy. Conduct thorough testing, evaluation, and documentation of models and systems. Stay up to date with the latest advancements in AI, particularly in the Generative AI space. Qualifications & Skills: Proven experience in LLM model development (e.g., OpenAI, GPT, BERT, etc.). Hands-on experience in building GenAI agents and conversational workflows. Strong Python programming skills with a focus on AI/ML libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Proven experience building or orchestrating multi-agent systems using frameworks like LangGraph. Prior work experience in the Telecom industry with a clear understanding of domain-specific challenges.,

Job Summary: We are seeking a talented and driven Machine Learning Engineer to design, build, and deploy ML models that solve complex business problems and enhance decision-making capabilities. You will work closely with data scientists, engineers, and product teams to develop scalable machine learning pipelines, deploy models into production, and continuously improve their performance. Key Responsibilities: Design, develop, and deploy machine learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Collaborate with data scientists to prepare and preprocess large-scale datasets for training and evaluation. Implement and optimize machine learning pipelines and workflows using tools like MLflow, Airflow, or Kubeflow. Integrate models into production environments and ensure model performance, monitoring, and retraining. Conduct A/B testing and performance evaluations to validate model accuracy and business impact. Stay up-to-date with the latest advancements in ML/AI research and tools. Write clean, efficient, and well-documented code for reproducibility and scalability. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Strong knowledge of machine learning algorithms, data structures, and statistical methods. Proficient in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Experience with data manipulation libraries (e.g., pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Familiarity with cloud platforms (AWS, GCP, or Azure) and model deployment tools. Experience with version control systems (Git) and software engineering best practices. Preferred Qualifications: Experience in deep learning, natural language processing (NLP), or computer vision. Knowledge of big data technologies like Spark, Hadoop, or Hive. Exposure to containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. Familiarity with MLOps practices and tools.

In this Job, you will: As a Gen AI Engineer at Telerapp, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and systems. Your expertise will contribute to creating AI-powered solutions that generate high-quality clinically relevant texts while pushing the boundaries of creativity and innovation. You will collaborate closely with cross-functional teams to deliver AI-driven products that reshape healthcare industries and user experiences. This role requires a deep understanding of machine learning, neural networks, and generative modeling techniques. To join, you should: Have 3+ years of full-time industry experience. Have hands-on experience in contemporary AI, such as, training generative AI models such as LLMs and image-to-text models, improving upon pre-trained models, evaluating these models, feedback loop etc. Have specialized expertise in model fine-tuning, RLHF, RAG, LLM tool use, etc. Have experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures. Have proficiency in Python, PySpark, TensorFlow, PyTorch, Keras, Transformer, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI or similar platforms. Have to collaborate with software engineers to integrate generative models into production systems. Ensure scalability, reliability, and efficiency of the deployed models. Have experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings. Your Responsibilities: Develop new LLMs for medical imaging. Developing and implementing methods that improve training efficiency and extend or improve LLM capabilities, reliability, and safety in the realm of image-to-text generation using medical data. Perform data preprocessing, indexing, and feature engineering specific to healthcare image and text data. Keep up to date with the research literature and think beyond the state of the art to address the needs of our users. Preferred Qualifications: Master’s degree in a quantitative field such as Computer Science or Data Science Salary: Market competitive For immediate consideration, send your CV at hr@telerapps.com.

Job Title: AI/ML Engineer (Python AWS REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality of an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 35 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share your resume to hr@advantal.ne.

What Youll Do Identify and prototype AI/ML use cases related to operational decision support, dispatch optimization, or predictive scheduling. Develop and evaluate models for time-series forecasting, clustering, or regression based on available business data. Explore potential use of graph algorithms and graph databases for modelling relationships in routing, resource allocation, or event flows. Support data processing and feature engineering across structured, unstructured, and geospatial datasets (GIS experience is a plus). Work closely with architects and cross functional teams to align on AI integration architecture and cloud deployment approach (AWS/Azure). Contribute to effort estimation, documentation, and planning for potential implementation in later phases. Troubleshoot models, ensuring accuracy and efficiency in production. What Youll Bring 4+ years of experience as an AI/ML engineer or data scientist in applied environments. Strong understanding of deep learning (supervised, unsupervised, self-supervised, reinforcement learning). Solid foundation in classical ML techniques such as regression models, time series forecasting, and clustering. Experience with graph algorithms and graph databases. Strong Python expertise. Hands-on data preprocessing experience. Proven experience in model fine-tuning and evaluation, ideally in production-ready settings. Proficiency with ML frameworks such as PyTorch, TensorFlow, or similar. Experience with cloud deployment and development, especially on AWS/Azure. Familiarity with containerization tools like Docker. Excellent problem-solving skills and ability to work in a fast-paced environment.

Job Title: Technical Product Owner (AI/NLP & US Healthcare) Location: Remote (India) Experience: 5+ Years Industry: Healthcare Technology / AI & Machine Learning Employment Type: Full-Time About the Role We are hiring a Product Owner with deep expertise in AI/NLP and US healthcare risk adjustment coding . This role blends strategic product leadership with hands-on technical guidance to build AI-powered solutions for medical record retrieval and automated risk coding . Key Responsibilities Product Strategy & Ownership Define and own the product vision for AI/NLP-based coding automation. Develop and manage product roadmap aligned with payer and regulatory needs. Lead Agile ceremonies: backlog grooming, sprint planning, and lifecycle management. Translate healthcare coding requirements into AI/NLP features and user stories. Collaborate with stakeholders to drive adoption and feedback. AI/NLP Technical Leadership Lead AI/NLP engineering and data science teams. Guide model development for clinical concept extraction, OCR, diagnosis classification, etc. Improve model performance (accuracy, recall, explainability). Direct architecture, dataset strategy, and deployment pipelines. Ensure scalable and compliant AI delivery. Healthcare & Risk Adjustment Alignment Partner with coding, compliance, and operations teams. Monitor coding quality and risk adjustment performance metrics. Required Qualifications 5+ years in product management; 3+ years in AI/NLP for US healthcare. Experience with clinical text extraction, coding automation, EHR/claims data. Technical Skills (Preferred) Background as Technical Product Owner, Engineering Manager, or AI Lead. Familiarity with ML pipelines, cloud deployment (AWS/Azure), Python, PyTorch/TensorFlow, spaCy, HuggingFace, LLMs. Knowledge of OCR tools, REST APIs, FHIR/HL7, MLOps, and model explainability. Leadership & Communication Proven ability to lead cross-functional teams. Strong communication across technical, business, and compliance domains. Agile leadership and prioritization skills. Preferred Qualifications Experience with payer coding platforms, risk analytics dashboards. Exposure to chart retrieval systems, audit workflows. Masters/PhD in Computer Science, AI/ML, Data Science, or Health Informatics. Why Join Us? 100% Remote Work from anywhere Join a fast-growing product-based company Lead next-gen AI/NLP innovations in healthcare Drive both strategy and execution of high-impact products Be part of a mission-driven team transforming healthcare with ethical, scalable AI Send your resume to ajay.kumar@advantmed.com , along with answers to: 1 Total years of relevant experience 2 Years of experience in U.S. Healthcare Risk Adjustment Coding 3 Brief summary of your U.S. healthcare experience 4 Current designation 5 Current CTC 6 Expected CTC 7 Official notice period 8 Earliest joining date 9 Certifications you hold (AI, Product, Healthcare, etc.) Team size you manage and a brief overview of your team structure Recruiter Details: ajay.kumar@advantmed.com https://www.linkedin.com/in/ajay-kumar-323b3a22a/

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description We are looking for a Python Backend Engineer with exposure to AI engineering to join our team in building a scalable, cognitive data platform. This platform will crawl and process unstructured data sources, enabling intelligent data extraction and analysis. The ideal candidate will have deep expertise in backend development using FastAPI, RESTful APIs, SQL, and Azure data technologies, with a secondary focus on integrating AI/ML capabilities into the product. Core Responsibilities Design and develop high-performance backend services using Python (FastAPI). Develop RESTful APIs to support data ingestion, transformation, and AI-based feature access. Work closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Manage database schemas, write complex SQL queries, and support ETL processes using Python-based tools. Build secure, scalable, and production-ready services following best practices in logging, authentication, and observability. Implement background tasks and async event-driven workflows for data crawling and processing. AI Engineering Contributions : Support integration of AI models (NLP, summarization, information retrieval) within backend APIs. Collaborate with AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX. Participate in training data pipeline design and minor model fine-tuning as needed for business logic. Contribute to the testing, logging, and monitoring of AI agent behavior in production environments. Qualifications 3+ years of experience in Python backend development, with strong experience in FastAPI or equivalent frameworks. Solid understanding of RESTful API design, asynchronous programming, and web application architecture. Proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services. Experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus. Familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

Job Summary Synechron is seeking a proactive and skilled Generative AI Testing & Prompt Engineer to join our innovative technology team. In this role, you will design and execute prompt strategies, develop automation workflows, and evaluate AI outputs to ensure high-quality, unbiased, and reliable generative models. Your expertise will help improve AI performance, safety, and ethical standards, enabling the organization to leverage cutting-edge AI capabilities effectively and responsibly. Software Requirements Required: Python (including libraries such as NumPy, Pandas, and testing frameworks) Bash or shell scripting for automation workflows Version control tools (Git) AI evaluation metrics tools and frameworks for measuring quality, bias, and safety Preferred: Experience with AI/ML frameworks such as TensorFlow or PyTorch CI/CD automation tools for seamless testing and deployment workflows Data analysis tools and platforms for metrics development Overall Responsibilities Develop and refine prompts to evaluate the capabilities, accuracy, creativity, and safety of Generative AI models, including NLP and multimodal models. Design comprehensive testing strategies across diverse scenarios using prompt variations to assess performance, bias, and ethical considerations. Automate testing workflows to streamline data collection, prompt execution, output analysis, and reporting. Analyze and interpret AI outputs, providing insights for improvements and bias mitigation. Collaborate closely with AI data scientists and developers to tune prompt techniques and enhance model behavior through automation and feedback. Document prompt scripts, testing procedures, automation workflows, and test results for transparency and reproducibility. Continuously refine prompt engineering and testing methodologies based on latest AI advancements and industry best practices. Stay informed about new trends, tools, and ethical considerations related to generative AI, prompt engineering, and automation. Technical Skills (By Category) Programming Languages: Required: Python (advanced scripting and automation capabilities) Preferred: Bash, shell scripting, or other automation languages Databases/Data Management: Basic understanding of data storage and querying for managing testing datasets Experience with data labeling and quality control processes Cloud Technologies: Preferred: Basic familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment and testing Frameworks and Libraries: Required: Generative AI evaluation tools, scripting frameworks for automation, prompt management tools Preferred: TensorFlow, PyTorch, or similar AI/ML libraries Development Tools and Methodologies: Required: Version control (Git), scripting for automation, reporting tools Preferred: CI/CD pipelines for automated testing and deployment in cloud or on-prem environments Security Protocols: Awareness of data privacy, security standards, and bias mitigation techniques Experience Requirements 3-5 years of professional experience in testing generative AI models, including prompt writing and optimization. Proven experience designing prompt strategies for NLP and multimodal models. Hands-on experience automating evaluation workflows for AI outputs, bias detection, and safety assessment. Familiarity with model evaluation metrics, including relevance, coherence, bias, and safety. Industry experience in AI development, testing, or related research preferred; alternative experience with related automation and data analysis roles may be considered. Day-to-Day Activities Develop, test, and optimize user prompts for AI model evaluations across multiple scenarios. Automate processes for prompt execution, data collection, and output assessment. Monitor and analyze AI model responses for quality, relevance, bias, and ethical compliance. Collaborate with data scientists, AI developers, and product teams to implement prompt tuning and automation improvements. Document testing strategies, automation scripts, and test outcomes thoroughly. Provide actionable feedback to improve model behavior and address bias or safety issues. Review industry trends and incorporate new testing tools or methodologies to advance testing capabilities. Qualifications Bachelors degree in Computer Science, Data Science, AI, or related field. Relevant certifications in AI, data analysis, or automation practices are a plus. Demonstrated commitment to continuous learning of AI ethics, bias mitigation, and prompt engineering. Professional Competencies Critical thinking and analytical skills to interpret complex AI outputs and identify issues. Problem-solving abilities to develop effective prompts, troubleshoot automation workflows, and improve testing strategies. Strong communication skills for documenting processes and collaborating with multidisciplinary teams. Ability to adapt rapidly to evolving AI technologies and industry standards. Interpersonal skills for stakeholder engagement and feedback provision. Effective time management to handle multiple test scenarios and documentation tasks efficiently.

Location: Hyderabad, Hybrid, Remote We’re looking for a Lead Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act. Insurance Ops Are Broken. Underwriters Drown In PDFs. Risk Clearance Is Chaos. Emails Go In Circles. We’ve Lived It – And We’re Fixing It. Bound AI Is Building Agentic AI Workflows That Go Beyond Chat. We Orchestrate Intelligent Agents To Handle Policy Operations End-to-end Risk clearance. SOV ingestion. Loss run summarization. Policy issuance. Risk triage. No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale. What We’re Looking For Deep, hands-on experience in GenAI, LLM fine-tuning, and multi-agent orchestration frameworks (LangChain, DSPy, Haystack, or similar), with a track record of delivering production-ready systems. 6+ years of proven experience in Machine Learning and AI engineering, with a strong emphasis on leadership, architecture ownership, and scaling ML systems in real-world environments. A solid ML/AI engineering background spanning both foundational modeling (NLP, transformers, RAG) and traditional machine learning approaches. Strong Python engineering skills — you write clean, scalable, production-ready code, not just research notebooks. A startup mindset — curiosity, speed, resourcefulness, and a relentless focus on shipping solutions that move the needle. Proven ability to mentor and guide ML specialists and engineers, fostering technical growth and best practices within a fast-paced team. Bonus: Experience in insurance tech or document intelligence (SOVs, Loss Runs, ACORDs) is highly valued. What You’ll Be Doing Own, design, and optimize major architectural components within our AI infrastructure, ensuring scalability, reliability, and performance. Lead the development of GenAI agents for real-time decision-making, workflow orchestration, and modular multi-agent systems interacting with APIs, humans, and other agents. Design and build foundation-model-based pipelines to read, extract, and reason over complex insurance documents. Architect and maintain auto-adaptive, feedback-driven workflows that optimize dynamically based on data quality, operational context, and risk signals. Provide hands-on technical leadership across AI/ML projects, ensuring scalable, production-grade code and robust deployments. Mentor, coach, and grow a team of ML specialists and engineers, fostering a culture of engineering excellence, continuous learning, and innovation. Collaborate closely with product, engineering, and operations leaders to prioritize AI-driven solutions that directly impact our customers’ workflows. Who We Are Bound AI was born inside OIP InsurTech – a 1000+ person global company that powers operations for MGAs and brokers across the U.S. We’re backed, battle-tested, and already deployed in the wild. This isn’t “build it and they might come.” The market is here – and we’re scaling fast. Skills:- Natural Language Processing (NLP), Data extraction, Python, TensorFlow, PyTorch, Generative AI, Microsoft Windows Azure, Large Language Models (LLM) tuning and Retrieval Augmented Generation (RAG)

BMC is looking for a talented Python with AI/ML Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure youre set up for success, you will bring the following skillset & experience: Design and develop products using GenAI frameworks (LangChain, LangGraph, LlamaIndex, LiteLLM), RAG pipelines (Chunking strategies, Evaluation criteria, RAG Patterns) and OpenAI Protocol. Design and develop robust Restful APIs and Microservices using Twelve-Factor App and Microservices design patterns and leveraging AI/ML models hosted inhouse (vLLM, Nvidia Triton Inference Engines), on cloud (AWS Sagemaker, Azure AI) for real-time and batch inference using OpenAI/Custom protocols. Design and develop AI Tools, Agents using MCP (Model Context Protocol) , A2A (Agent-to-Agent) protocols, Agentic design patterns and frameworks Fine tune and adapt pre-trained models (GenAI, Predictive and Classification) using machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn) to build domain specific products Develop and implement AI/ML usecases to drive actionable insights and business outcomes Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python/Fast API, Java, RESTful services, high-performance, and multi-threading. Bachelors or masters degree in computer science, Statistics, Mathematics, Data Science, or a related field. Full Stack Developer with emphasis on [Python, Relational (PostGres) and Vector databases (FAISS, Weaviate, Milvus), Cloud Platforms/Services (AWS, GCP, Azure)] Good to have Frontend Development (Angular, React and SSR) experience Experience with machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn). Experience with LangChain, LangGraph and LlamaIndex and LiteLLM for building LLM-powered applications Understanding of time-series modeling, anomaly detection, or clustering techniques. Experience with data engineering (ETL pipelines, data warehouses, etc.) and Hands-on exposure to model tracking (MLflow), serving (FastAPI, vLLM), and container orchestration frameworks (Kubernetes, DockerSwarm) Familiarity with observability tools and practices. Great communication skills, ability to explain predictive analytics to non-technical audience. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: CI/CD (Jenkins) environment with popular DevOps tools Experience with Agile methodology, use of Atlassian products Jira, Confluence ) You are familiar and can take advantage of advanced IDEs such as IntelliJ, Eclipse or VSCode

About the Role: Acrocede Technologies Pvt Ltd is looking for a highly experienced AI/ML Architect to be deployed to our client Techversant , a global leader in digital transformation and technology services. This is a strategic, client-facing leadership role where you’ll lead the design and delivery of end-to-end AI solutions across cutting-edge domains. Work Mode : Remote or Onsite, depending on candidate location What You'll Do Work directly with clients to understand business problems and propose AI-driven solutions Architect and lead end-to-end AI/ML systems – from data ingestion to model deployment Guide AI/ML model selection, training, testing, and integration Build and mentor a high-performing AI team Drive delivery excellence using Agile methodologies and MLOps best practices Key Skills Required Strong expertise in AI/ML/DL , including models like CNN, RNN, Transformers, LLMs Programming: Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face AI architecture design: microservices, APIs, cloud-native stacks Experience with AWS, Azure, or GCP ML services Familiarity with vector databases , MLOps tools (MLflow, Kubeflow, etc.), and data engineering (Spark, Kafka, Databricks) Excellent stakeholder communication and leadership skills Cloud certifications (AWS/GCP/Azure AI) preferred Good to Have Experience with Generative AI / LLMs / RAG / LangChain / Stable Diffusion Prompt engineering, fine-tuning, RLHF knowledge Previous contributions to research, publications, open-source, or AI certifications Understanding of explainable AI , ethical AI, and compliance

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP) . The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Key Responsibilities Develop and implement AI/ML models . Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs. Fine-tune and optimize Large Language Models (LLMs) for various applications. Design and train custom Machine Learning models using structured and unstructured data. Leverage NLP techniques such as text summarization, Named Entity Recognition (NER). Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure). Collaborate with cross-functional teams to integrate AI-driven solutions into business applications. Stay updated with latest AI advancements and apply innovative techniques to improve model performance. Required Skills & Qualifications 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI . Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with NLP models , including BERT, GPT, T5, LLaMA, and Stable Diffusion . Expertise in data preprocessing, feature engineering, and model evaluation . Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes) . Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Ability to fine-tune LLMs and work with prompt engineering . Strong problem-solving skills and ability to work in agile environments . Educational Requirements Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology Preferred Skills (Good To Have) Experience with Reinforcement Learning (RLHF) and multi-modal AI . Familiarity with AutoML, Responsible AI (RAI), and AI Ethics . Exposure to Graph Neural Networks (GNNs) and time-series forecasting. Contributions to open-source AI projects or research papers. Skills:- Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python and Large Language Models (LLM)

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

Inturai is looking for a machine learning engineer with Digital Signal Processing skills to build efficient, data-driven AI/ML models that advance our real time RF data analysis capabilities. The candidate should be well versed in RF, Digital Signal Processing (DSP) and ML programming, with the ability to confidently assess, analyze, and organize large amounts of real time data. The candidate should also be able to execute tests and optimize Inturais machine learning models and algorithms. Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems for Inturai Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks. Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems. Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications. Test and Ensure algorithms generate predictable outcomes. Stay up to date with developments in the machine learning industry. Responsibilities Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Preferred qualifications Bachelor’s degree (or equivalent) in Electronics, Computer Science, or related field. Proven experience as a machine learning engineer or similar role Experience with Tensor, Python, Java, and R based implementations Experience with Digital signal processing Experience in building and consuming APIs General knowledge of building machine learning systems Innovative mind with a passion for continuous learning

Position : AI / ML Engineer (Senior developer, Technical Lead and Associate Manager) Experience : 3 to 12 Years Job Location: PAN India, Across India Educational Qualification : Graduation degree mandatory. 15 years of Full-time education. As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality Roles & Responsibilities: Expected to be an SME. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Mentor junior professionals to enhance their skills and knowledge. Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: Must To Have Skills : Proficiency in Large Language Models. Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. Familiarity with natural language processing techniques and tools. Ability to design and implement scalable AI applications. Additional Information: The candidate should have minimum 3 years of experience in Large Language Models. A 15 years full time education is required.