501 Aiml Jobs - Page 5

Job Summary: As a Technical Lead for Agentic AI Workflow Development, you will be responsible for designing, developing, and implementing advanced AI-driven workflows. You will lead a team of developers and collaborate with cross-functional teams to deliver high-quality solutions that meet business needs. Job Description: - Lead the end-to-end development of Agentic AI workflows, including Autogen, Llama, and Lang graph integration. - Design and implement solutions using large language models (LLMs) such as ChatGPT, Gemini, and Llama. - Develop and maintain scalable architectures on hyperscaler platforms (Azure, AWS, Google Cloud). - Utilize Python for backend development and automation tasks. - Ensure effective database management with a strong understanding of both SQL and NoSQL databases. - Troubleshoot and resolve technical issues in a timely manner. - Oversee the orchestration of jobs, including queuing and load balancing for optimal performance. - Collaborate with stakeholders to identify and implement real-world use cases, focusing on document-related solutions and agent interactions. - Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Profile Description: - Bachelors degree in computer science, Engineering, or a related field; Masters degree preferred. - Proven experience as a Technical Lead or similar role in AI/ML development. - Strong proficiency in Python and experience with relevant libraries and frameworks. - In-depth knowledge of large language models (LLMs) and their applications. - Experience with hyperscaler architectures (Azure, AWS, Google Cloud). - Solid understanding of SQL and NoSQL databases, with hands-on experience in database design and management. - Excellent troubleshooting skills and the ability to solve complex technical problems. - Demonstrated experience in developing and deploying at least three real-world use cases involving document processing, auto agents, and orchestration. - Strong communication and leadership skills, with the ability to work collaboratively in a team environment. - Familiarity with AI frameworks and tools related to workflow automation. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of CI/CD practices and tools.

Strong programming experience in Python, Solid background in deep learning, CNNs, and transfer learning and Machine learning basics, object detection, classification, segmentation, PyTorch, TensorFlow, and ONNX, GPU acceleration (CUDA, cuDNN).

Required Skills and Qualifications Bachelors/Master’s degree in Computer Science, Information Technology, or a related field. Proven experience as a Solution Architect or a similar role. Expertise in programming languages and frameworks: Java, Angular, Python, C++ Proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience in deploying AI models in production, including optimizing for performance and scalability. Understanding of deep learning, NLP, computer vision, or generative AI techniques. Hands-on experience with model fine-tuning, transfer learning, and hyperparameter optimization. Strong knowledge of enterprise architecture frameworks (TOGAF, Zachman, etc.). Expertise in distributed systems, microservices, and cloud-native architectures. Experience in API design, data pipelines, and integration of AI services within existing systems. Strong knowledge of databases: MongoDB, SQL, NoSQL. Proficiency in working with large-scale datasets, data wrangling, and ETL pipelines. Hands-on experience with CI/CD pipelines for AI development. Version control systems like Git and experience with ML lifecycle tools such as MLflow or DVC. Proven track record of leading AI-driven projects from ideation to deployment. Hands-on experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Familiarity with Agile methodologies, especially POD-based execution models. Strong problem-solving skills and ability to design scalable solutions. Excellent communication skills to articulate technical solutions to stakeholders. Preferred Qualifications Experience in e-commerce, Adtech or OOH (Out-of-Home) advertising technology. Knowledge of tools like Jira, Confluence, and Agile frameworks like Scrum or Kanban. Certification in cloud technologies (e.g., AWS Solutions Architect).

Job Summary: Design and implement ML solutions, architecting scalable and efficient systems. Primary Skills: Strong in Machine Learning Algorithms Data Engineering and ETL/ELT Data cleaning, preprocessing and EDA Feature Engineering, Data Splitting and encoding MLOps (Model versioning, Training, experimenting, deployment and monitoring) Python, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Matplotlib, R, Scala, Java, etc. Git, DVC, MLFlow, Kubernetes, Kubeflow, Docker, Containers, CI/CD deployments, Apache Airflow Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms AWS SageMaker, Google AI Platform, Azure Machine Learning Model Design and Optimization, LLMs models (OpenAI, BERT, LLaMA, Gemini etc.) RDBMS, No SQL database, Vector DB, RAG Pipelines AI Agent Frameworks, AI agent authentication and Deployment AI security and compliance, Prompt Engineering Secondary Skills: Cloud computing, Data engineering, DevOps Design and develop AI/ML models and algorithms Responsibilities: Collaborate with data scientists and engineers Ensure scalability and performance of AI/ML systems Requirements: 12-15 years of experience in AI/ML development Strong expertise in AI/ML frameworks and tools Excellent problem-solving and technical skills

Hi , We are having an urgent job opportunity for Part time Open AI Developer CANDIDATES BASED OUT OF NOIDA CAN ONLY APPLY Job Title: OpenAI Developer - LLM Training Specialist Location: Remote Job Summary: We are seeking an experienced OpenAI Developer with a strong background in Supervised Learning and hands-on experience in training Large Language Models (LLMs) . The ideal candidate will play a key role in training and fine-tuning AI models , specifically to enhance the capabilities of our ChatGPT AI assistants . If you have a passion for cutting-edge AI technology and enjoy solving complex challenges, wed love to hear from you! Key Responsibilities: Design, implement, and optimize training pipelines for LLMs. Fine-tune pre-trained models like ChatGPT to align with specific use cases and business needs. Develop and curate high-quality datasets for supervised learning and model training. Perform hyperparameter tuning to enhance model performance and efficiency. Collaborate with cross-functional teams to identify requirements and align AI models with organizational goals. Test and validate trained models to ensure they meet performance and accuracy benchmarks. Monitor and troubleshoot AI models during training and deployment phases. Stay updated with advancements in AI, machine learning, and OpenAI technologies. Technical Skills: Proficiency in OpenAI APIs and frameworks like PyTorch or TensorFlow. Hands-on experience in training and fine-tuning Large Language Models (LLMs) . Expertise in Supervised Learning and dataset preparation. Preferred Qualifications: Previous experience working with ChatGPT or similar LLMs. Knowledge of Reinforcement Learning from Human Feedback (RLHF) . Familiarity with ethical considerations and best practices in AI development.

Job Title: Data Scientist Experience: 8+Years Location: Remote Employment Type: Full-Time Shift Timing: 4 hours overlap with PST timings Job Description : Job Summary: What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application : Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping : Implement AI algorithms for accurate data mapping from source to target. Code Generation : Automate code generation using AI models. Data Validation : Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion : Facilitate seamless code conversion using AI algorithms. Collaboration : Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot : Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation : Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies : Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Master’s Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques : Experience with AI-driven tools and methodologies for data mapping. Strong Code Generation Skills : Experience in developing AI models for automating code generation. Experience with Data Validation : Implementing AI-based validation techniques. Familiarity with Code Conversion : Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills : Ability to work effectively with cross-functional teams. Problem-Solving Skills : Strong ability to identify issues and develop creative solutions. Attention to Detail : Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML . Experience with Master data management, Data Wrangling and ETL Processes . Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies : Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions : Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines

AI / ML Engineer Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years Job Description: AI/ML resource with ML Ops Key Skills: • 3+ years of experience in AI/ML/Gen AI use case development, deployment, and/or monitoring. • Hands-on understanding of AI observability concepts, model performance tracking, and monitoring tools. • Experience in documenting technical workflows, onboarding guides, and reporting dashboards. • Proficiency in working with AI platforms, cloud tools (e.g., Azure, GCP, AWS), and basic scripting. Required Skills: • Use Case Onboarding Support: Partner with AI/Gen AI use case teams across functions to guide them through the onboarding process onto the AI observability platform. • Troubleshooting & Enablement: Assist teams in identifying and resolving onboarding issues and recommend best practices for observability integration. • Stakeholder Engagement: • Conduct regular check-ins with use case owners to gather feedback, resolve issues, and provide updates on onboarding progress. • Documentation & Reporting: • Maintain up-to-date onboarding trackers, create documentation and status reports for leadership, and develop onboarding artifacts. • Cross-Functional Coordination: Act as a liaison between use case teams and the AI observability product team to share progress, blockers, and improvement opportunities. • Monitoring Support: • Provide assistance with bug fixes and other platform support activities that ensure ongoing monitoring and value realization. • Use Case Health Reporting: • Generate periodic reports on use case performance, health metrics, and provide insights or recommendations to enhance outcomes. • Knowledge Contribution: • Help build knowledge base and reusable onboarding documentation, FAQs, templates, and best practices.

Bachelor's or master’s degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Hello All, We Are hiring for Data Scientist Position Skills Python+AI+RAG+LLM Traditional DS+ NLP+DL+AI MLOPS+ Any cloud Below detail JD FYR, Location - PAN INDIA Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intrested candidates please share your CV on kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!

In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Role & responsibilities Deliver lectures and conduct practical sessions in Computer Science and Engineering (CSE). Design course materials, lesson plans, and assessments as per JNTUH/AICTE/UGC guidelines. Mentor students in academic projects, research work, and co-curricular activities. Conduct and publish research in reputed journals. Participate in accreditation processes and ensure compliance with AICTE/NAAC standards. Organize and attend departmental activities, including workshops, conferences, and seminars. Collaborate with industry for research, internships, and knowledge-sharing initiatives. Preferred candidate profile Qualification: As per AICTE / JNTUH Norms Freshers with strong academic performance and research aptitude are encouraged to apply. Proficiency in programming languages such as Python, Java, C++, or similar. Knowledge of emerging technologies like AI, ML, Data Science, Cybersecurity, or Cloud Computing. Strong communication, presentation, and research skills. Perks and benefits Competitive salary in the industry Research funding and conference participation opportunities. Access to advanced labs and computing facilities. Professional development support for certifications and workshops.

Skills : 12+ years of experience in leading design and software delivery teams Grown from the development ranks to Delivery (QA or other support roles that dont involve hands-on coding are excused). Technically deft in Java/.Net, DB (Any of, but not limited to SQL Server, CITUS, Mongo, Oracle), • Understand streaming Kafka (Or RabbitMQ/any other queuing/ messaging technology), CI / CD, and Automation, Selenium. • Hands-on experience working in Cloud environments like AWS/Azure/GCP • Awareness to basic concepts of data warehousing and AI/ML is must

Data scientist role 7+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Immediate joiner Pls share resume at garimaimaginators@gmail.com

Support development & operationalization of AI/ML models, collaborate with architects & engineers to build scalable & secure data pipelines & AI/ML workflows. Contribute to automation of model training, validation, deployment, monitoring processes.

We are seeking a talented and motivated Senior Data Scientist to join our team. The ideal candidate will have a strong background in Python, neural networks, generative AI (GenAI), and large language models (LLM), as well as experience in prompt engineering. This role requires a solid understanding of data science techniques and the ability to apply them to solve real-world problems. Key Responsibilities: Develop and implement machine learning models, including neural networks and generative AI. Work with large language models to enhance natural language processing capabilities. Design and optimize prompts for various AI applications. Analyze and interpret data to provide actionable insights. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Stay current with the latest advancements in data science and AI technologies. Required Skills: Proficiency in Python programming language. Experience with neural networks and generative AI/LLM. Knowledge of prompt engineering techniques. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team.

At Shaip, we're pushing the boundaries of AI innovation through world-class data solutions. We're seeking a highly qualified Computational Linguist (Ph.D. level) with 2-3 years of industry experience to lead transformative projects in ASR model development and LLM fine-tuning. What Youll Do: • Lead dataset creation for cutting-edge ASR and LLM systems, ensuring data diversity and alignment with AI model objectives. • Own project lifecycles end-to-end — from planning and execution to delivery — working cross-functionally with internal teams and external clients. • Interface with clients to understand requirements, provide status updates, and exceed expectations with high-quality deliverables. • Uphold quality standards through robust QA processes, ensuring data accuracy, consistency, and completeness. • Mentor and manage teams of linguists and annotators, driving collaboration and innovation. • Provide technical expertise in preprocessing, annotation, and model evaluation to steer AI model optimization. What You Bring: • Ph.D. in Computational Linguistics or Linguistics • 2–3 years of experience managing data-driven projects for ASR or LLMs • Deep technical fluency in model architectures, data curation, and QA methodologies • Strong project and team management skills with proven delivery track record • Excellent client communication skills and a passion for building diverse, representative datasets Bonus Points: • Published research in AI or computational linguistics • Familiarity with annotation tools and transcription software • Commitment to ethical AI practices, including bias mitigation

The Digital Commerce role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Digital Commerce domain.

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

and The ideal candidate will lead AI innovation, optimize AI models for clinical decision support, medical imaging, patient engagement, and enterprise process automation. Key Responsibilities 1. Develop and deploy AI/ML solutions with a focus on healthcare AI (clinical NLP, radiology AI, predictive analytics) and enterprise AI (automation, intelligent chatbots, document processing, and knowledge management). 2. Fine-tune and optimize LLMs (GPT-4, Med-PaLM, Gemini, LLaMA, Claude) for medical and enterprise applications. 3. Implement Retrieval-Augmented Generation (RAG) to enhance AI-driven decision-making in healthcare diagnostics, patient interaction, and enterprise knowledge management. 4. Build and integrate AI-powered chatbots, virtual health assistants, and AI co-pilots to improve patient engagement and enterprise workflows. 5. Utilize vector databases (FAISS, Pinecone, Weaviate) for AI-driven clinical data retrieval and enterprise document search. 6. Deploy AI solutions using cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face Hub) and MLOps pipelines for scalability. 7. Ensure AI solutions comply with healthcare regulations (HIPAA, GDPR, FDA AI/ML regulations) and enterprise security policies. 8. Collaborate with healthcare professionals, enterprise teams, and engineers to align AI solutions with business and medical needs. 9. Stay ahead of advancements in explainable AI (XAI), AI ethics, bias mitigation, and regulatory compliance. Required Skills & Experience 1. Exp. in AI/ML development, with expertise in GenAI, LLMs, and applied AI for Healthcare & Enterprise AI. 2. Strong proficiency in Python and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow, or JAX. 3. Hands-on experience with LLM fine-tuning, prompt engineering, and model optimization for healthcare diagnostics, medical text processing, and enterprise automation. 4. Experience in healthcare NLP (de-identification, medical summarization, clinical decision support) and enterprise AI (workflow automation, document intelligence, AI-powered search & knowledge retrieval). 5. Proficiency in MLOps, cloud AI services (AWS, GCP, Azure), and deploying AI models at scale. 6. Understanding of multi-modal AI (text, vision, audio) for medical imaging, voice AI for telemedicine, and AI-powered enterprise solutions. 7. Ability to lead AI teams, manage AI projects, and drive AI innovation for business impact. Nice to Have Experience with biomedical AI (e.g., Med-PaLM, BioGPT), federated learning for healthcare data privacy, and AI for clinical trials. Knowledge of AI compliance frameworks (FDAs Good Machine Learning Practice, AI risk management for enterprises). Familiarity with AutoML and low-code AI for rapid prototyping in enterprise AI. Contributions to open-source healthcare AI projects or AI research publications. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach hehelplps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit https://www.smartdatainc.com Please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930

Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools Required Candidate profile AI /ML engineer Remote Budget - 1.20 LPM (more or less fine with suitable profiles) 4+ years of relevant experience Contract - Immediate joiner Mid shift (2 PM- 12 flexible )

We have a job opening for Mahine learning with Artififcial Intelligence with Leading MNC