|| Immediate Joiners ||Dear Candidates,Please find the below Job Description.The role involves mapping clinical, laboratory, pharmacological, and other medical health termsto their corresponding concepts in standard medical terminologies, ensuring accurate representation of the source terms. Additionally, the position includes performing text labeling, data annotation, or image annotation tasks as assigned by the team.Notice Period : Immediate joinerLocation : Noida sector 62Shift Timing : 10PM - 6AMRegards,Manvi Ranamrana@innodata.com

We're looking for a AIML Architect to spearhead the design and development of intelligent, scalable solutions that redefine how businesses operate. This is a unique opportunity to innovate, lead, and create impactful AI-driven systems while collaborating with a dynamic and forward-thinking team.Mandatory Skillsets:Lead transformative AI/ML projects that solve real-world challenges across industries.Be at the forefront of adopting and experimenting with cutting-edge AI technologies and tools.Influence the AI strategy and directly shape the future of our products and solutions.Soft Skills:Excellent leadership and customer service skillsGood sense of time managementStrong in presentation, communication and in articulation skillsRoles and Responsibilities:Typical activities that would be expected are:In-depth knowledge of machine learning, text extraction and image processing techniques & Natural Language ProcessingExperience in developing machine learning, text extraction and image processing algorithms, and optimizing the existing algorithms.Coding experience in Python.Experience in products like CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools.Experience working with Cloud Services AWS, Azure etc.Takes ownership of self-professional developmentThe desired candidate should be a quick thinker and should have a track record of high performance product development. Additionally, the candidate should be innovative, dedicated and result oriented.Research experience is preferred.Strong background in Math specially in statistics , modelling and matricesStrong expertise in AI, Machine Learning, Python, TensorFlow, PyTorch, and Scikit-learn.Proficiency in Generative AI, LLMs, and cloud platforms (AWS, Azure, Google Cloud).Experience with big data tools (Spark, Hadoop) and MLOps tools (Kubeflow, MLflow, Docker, Kubernetes).Proven track record of delivering large-scale AI/ML projects.Excellent leadership, problem-solving, and communication skills.Preferred Candidate:10-15 years of experience in artificial intelligence, machine learning, or a related field.Proven experience with non-cloud LLM deployments and architectures.Strong understanding of ethical AI principles and governance frameworks.Excellent communication and collaboration skills to bridge communication gaps between various teams.Leadership experience with a proven track record of driving successful AI projects.Ability to travel frequently (30-40%) to client locationsLead end-to-end AI/ML project lifecycles, including design, development, and deployment.Build and optimize models in NLP, Computer Vision, and Generative AI (e.g., GANs, LLMs).Architect and deploy AI/ML solutions for NLP, Computer Vision, and Analytics.Manage and mentor a team of data scientists and ML engineers.Collaborate with cross-functional teams to define AI strategies and deliver solutions.Stay updated on AI advancements and implement state-of-the-art technologies.

ResponsibilitiesFlag relevant symptoms and treatmentCreate footnotes with definitions of uncommon medical termsCreate timelines and charts to highlight treatment from relevant period(s) of careIdentify missing records and billsAdhere to production and quality milestonesSummarize the case history of patients for deep analysis of medical records requiredQualifications we seek in you!Minimum qualifications:M.Pharma / BDS/MDS /BPT/ B.Tech Biotechnology / M.Sc. Biotechnology / Pharma D.Preferred qualifications and skill sets:Preferred additional internship / corporate experience beyond patient careKnowledge of US Culture/ US Healthcare SystemKnowledge of disease conditions, treatments, tests, and medicationsAbility to provide root cause analysis Knowledge on personal injury, medical malpractice casesEnsuring accurate and documentation of medical history, suspect drugs and concomitant medications.Verify consistency between the source documents and the narrative summaryGood command on MS office

ResponsibilitiesFlag relevant symptoms and treatmentCreate footnotes with definitions of uncommon medical termsCreate timelines and charts to highlight treatment from relevant period(s) of careIdentify missing records and billsAdhere to production and quality milestonesSummarize the case history of patients for deep analysis of medical records requiredQualifications we seek in you!Minimum qualifications:M.Pharma / B.Pharma / B.Tech Biotechnology / M.Sc. Biotechnology / Pharma D. Preferred qualifications and skill sets: Preferred additional internship / corporate experience beyond patient careKnowledge of US Culture/ US Healthcare SystemKnowledge of disease conditions, treatments, tests, and medicationsAbility to provide root cause analysis Knowledge on personal injury, medical malpractice cases Ensuring accurate and documentation of medical history, suspect drugs and concomitant medications. Verify consistency between the source documents and the narrative summaryGood command on MS office

Dear Candidates,Please find the below Job Description.The role involves mapping clinical, laboratory, pharmacological, and other medical health terms to their corresponding concepts in standard medical terminologies, ensuring accurate representation of the source terms. Additionally, the position includes performing text labeling, data annotation, or image annotation tasks as assigned by the team.Notice Period : Immediate joinerLocation : Noida sector 62Shift Timing : 10PM - 6AMRegardsManvi Ranamrana@innodata.com

At Innodata, we were working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We're looking for smart, savvy, and curious Generative AI Associates to join our team. This is the role that writers and linguists dream about: you'll be teaching the next generation of LLMs about what makes language special. Were training generative AI how to think, not just how to write?This isn't just a job; its a once-in-a-lifetime opportunity to work on the frontlines of generative AI. There's nothing more cutting-edge than this. Joining us means becoming an integral member of a global team shaping high-quality, user-centric AI knowledge models that will be the foundation for the next wave of generative AI-powered computation platforms.What you'll be doing:As an analyst on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. Were seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we were happy and excited to train you in unlocking the potential of generative AI.Below are some responsibilities and tasks of our Generative AI Associate role:Creating training data sets for AI models that will help improve their accuracy, fluency, coherence, and/or voiceAnnotating data to help AI models align with human valuesAnalyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventionsCollaborating closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate data setsContributing to evolving specifications for AI-model training and data recipesNavigating a dynamic environment and adapting to shifting guidelines and flexible prioritiesAchieving target KPIs, including daily job count and average handle time per job, within specified data production windowsWhat we need you to bring:Masters / M.Phil. / Ph.D. degree in History.C1-level proficiency in English.Excellent communication and writing skills.Strong understanding of grammar, syntax, and semanticsAbility to edit and improve written communication across a wide variety of fieldsCreative thinkerStrong attention to detailWell-honed internet research skillsAdaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities. Interested candidates can share their resumes to rishabh@innodata.com or can call or Whatsapp on 9870131979

At Innodata, we were working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We're looking for smart, savvy, and curious Generative AI Associates to join our team. This is the role that writers and linguists dream about: you'll be teaching the next generation of LLMs about what makes language special. Were training generative AI how to think, not just how to write?This isn't just a job; its a once-in-a-lifetime opportunity to work on the frontlines of generative AI. There's nothing more cutting-edge than this. Joining us means becoming an integral member of a global team shaping high-quality, user-centric AI knowledge models that will be the foundation for the next wave of generative AI-powered computation platforms.What you'll be doing:As an analyst on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. Were seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we were happy and excited to train you in unlocking the potential of generative AI.Below are some responsibilities and tasks of our Generative AI Associate role:Creating training data sets for AI models that will help improve their accuracy, fluency, coherence, and/or voiceAnnotating data to help AI models align with human valuesAnalyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventionsCollaborating closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate data setsContributing to evolving specifications for AI-model training and data recipesNavigating a dynamic environment and adapting to shifting guidelines and flexible prioritiesAchieving target KPIs, including daily job count and average handle time per job, within specified data production windowsWhat we need you to bring:Masters / M.Phil. / Ph.D. degree in Psychology.C1-level proficiency in English.Excellent communication and writing skills.Strong understanding of grammar, syntax, and semanticsAbility to edit and improve written communication across a wide variety of fieldsCreative thinkerStrong attention to detailWell-honed internet research skillsAdaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities. Interested candidates can share their resumes to rishabh@innodata.com or can call or Whatsapp on 9870131979

At Innodata, we were working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We're looking for smart, savvy, and curious Generative AI Associates to join our team. This is the role that writers and linguists dream about: you'll be teaching the next generation of LLMs about what makes language special. Were training generative AI how to think, not just how to write?This isn't just a job; its a once-in-a-lifetime opportunity to work on the frontlines of generative AI. There's nothing more cutting-edge than this. Joining us means becoming an integral member of a global team shaping high-quality, user-centric AI knowledge models that will be the foundation for the next wave of generative AI-powered computation platforms.What you'll be doing:As an analyst on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. Were seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we were happy and excited to train you in unlocking the potential of generative AI.Below are some responsibilities and tasks of our Generative AI Associate role:Creating training data sets for AI models that will help improve their accuracy, fluency, coherence, and/or voiceAnnotating data to help AI models align with human valuesAnalyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventionsCollaborating closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate data setsContributing to evolving specifications for AI-model training and data recipesNavigating a dynamic environment and adapting to shifting guidelines and flexible prioritiesAchieving target KPIs, including daily job count and average handle time per job, within specified data production windowsWhat we need you to bring:Masters / M.Phil. / Ph.D. degree in Philosophy.C1-level proficiency in English.Excellent communication and writing skills.Strong understanding of grammar, syntax, and semanticsAbility to edit and improve written communication across a wide variety of fieldsCreative thinkerStrong attention to detailWell-honed internet research skillsAdaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities. Interested candidates can share their resumes to rishabh@innodata.com or can call or Whatsapp on 9870131979

At Innodata, we were working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We're looking for smart, savvy, and curious Generative AI Associates to join our team. This is the role that writers and linguists dream about: you'll be teaching the next generation of LLMs about what makes language special. Were training generative AI how to think, not just how to write?This isn't just a job; its a once-in-a-lifetime opportunity to work on the frontlines of generative AI. There's nothing more cutting-edge than this. Joining us means becoming an integral member of a global team shaping high-quality, user-centric AI knowledge models that will be the foundation for the next wave of generative AI-powered computation platforms.What you'll be doing:As an analyst on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. Were seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we were happy and excited to train you in unlocking the potential of generative AI.Below are some responsibilities and tasks of our Generative AI Associate role:Creating training data sets for AI models that will help improve their accuracy, fluency, coherence, and/or voiceAnnotating data to help AI models align with human valuesAnalyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventionsCollaborating closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate data setsContributing to evolving specifications for AI-model training and data recipesNavigating a dynamic environment and adapting to shifting guidelines and flexible prioritiesAchieving target KPIs, including daily job count and average handle time per job, within specified data production windowsWhat we need you to bring:Masters / M.Phil. / Ph.D. degree in Economics.C1-level proficiency in English.Excellent communication and writing skills.Strong understanding of grammar, syntax, and semanticsAbility to edit and improve written communication across a wide variety of fieldsCreative thinkerStrong attention to detailWell-honed internet research skillsAdaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities. Interested candidates can share their resumes to rishabh@innodata.com or can call or Whatsapp on 9870131979

At Innodata, we were working with the world's largest technology companies on the next generation of generative AI and large language models (LLMs). We're looking for smart, savvy, and curious Generative AI Associates to join our team. This is the role that writers and linguists dream about: you'll be teaching the next generation of LLMs about what makes language special. Were training generative AI how to think, not just how to write?This isn't just a job; its a once-in-a-lifetime opportunity to work on the frontlines of generative AI. There's nothing more cutting-edge than this. Joining us means becoming an integral member of a global team shaping high-quality, user-centric AI knowledge models that will be the foundation for the next wave of generative AI-powered computation platforms.What you'll be doing:As an analyst on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. Were seeking self-motivated associates who can handle the speed required to be on the frontlines of innovation. In return, we were happy and excited to train you in unlocking the potential of generative AI.Below are some responsibilities and tasks of our Generative AI Associate role:Creating training data sets for AI models that will help improve their accuracy, fluency, coherence, and/or voiceAnnotating data to help AI models align with human valuesAnalyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventionsCollaborating closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate data setsContributing to evolving specifications for AI-model training and data recipesNavigating a dynamic environment and adapting to shifting guidelines and flexible prioritiesAchieving target KPIs, including daily job count and average handle time per job, within specified data production windowsWhat we need you to bring:Masters / M.Phil. / Ph.D. degree in English.C1-level proficiency in English.Excellent communication and writing skills.Strong understanding of grammar, syntax, and semanticsAbility to edit and improve written communication across a wide variety of fieldsCreative thinkerStrong attention to detailWell-honed internet research skillsAdaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities. Interested candidates can share their resumes to rishabh@innodata.com or can call or Whatsapp on 9870131979

ResponsibilitiesFlag relevant symptoms and treatmentCreate footnotes with definitions of uncommon medical termsCreate timelines and charts to highlight treatment from relevant period(s) of careIdentify missing records and billsAdhere to production and quality milestonesSummarize the case history of patients for deep analysis of medical records requiredQualifications we seek in you!Minimum qualifications:BPT/BDS/MPT/MDS/ Pharma D.Preferred qualifications and skill sets:Preferred additional internship / corporate experience beyond patient careKnowledge of US Culture/ US Healthcare SystemKnowledge of disease conditions, treatments, tests, and medicationsAbility to provide root cause analysis Knowledge on personal injury, medical malpractice casesEnsuring accurate and documentation of medical history, suspect drugs and concomitant medications.Verify consistency between the source documents and the narrative summaryGood command on MS office

Key responsibility areas:Develops and oversees project plans, monitoring progress to ensure objectives are met. Prepares and analyzes operational reports on division performance and keeps the immediate superior informed at all times.Ensures operational management aligns with client specifications and quality requirements, delivering outcomes in a timely, cost-effective, and efficient manner.Prepares production plans based on defined objectives and project goals provided by the immediate superior and submits them for approval.Manages attrition and adherence within the department by supporting the leadership team with guidance and solutions to minimize turnover and maintain stability.Ensures team productivity and timely delivery of targets through account managers while maintaining high-quality work standards.Enhances operational management systems, processes, and best practices to promote organizational well-being and efficiency.Leads process transitions, mitigates risks, introduces new tools, and drives continuous improvement in project planning and execution.Oversees efforts to refine and improve processes, systems, and procedures to boost productivity, efficiency, quality, and profitability. Implement initiatives to optimize resource performance.Conducts quality control and monitors production KPIs to ensure performance standards are met.