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0 years
0 Lacs
Noida, Uttar Pradesh, India
Remote
Experience : 2.00 + years Salary : INR 600000-1000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRMs, OpenAI, CMS, n8n, Gumloop, Data Automation Systems, Digital Transformation Uplers is Looking for: We are looking for a tech-savvy Automation & AI Workflow Specialist who can deeply understand business operations across departments and design intelligent, automation-first solutions using modern platforms. You don’t need to be a hardcore coder or machine learning engineer, but you must be curious, analytical, and passionate about using automation tools to solve real-world business problems. Key Responsibilities: Analyze and understand business functions, workflows, and manual processes across different departments. Identify inefficiencies and propose automation or AI-based workflows to improve productivity and reduce manual work. Research emerging tools and platforms in the automation and AI space — you’re someone who enjoys experimenting and tinkering with new tech. Design and build intelligent workflows using platforms like n8n, Make.com, Gumloop, or Agent.ai. Use APIs and available integrations to connect various tools and systems into cohesive, automated workflows. Collaborate with cross-functional teams to gather requirements and deliver automation solutions aligned with business needs. Provide mentorship and guidance to junior team members working on automation projects. Document workflows and ensure knowledge sharing across teams. Required Skills and Experience: Strong understanding of business processes and operations in a service-based or cross-functional environment. Experience with no-code/low-code automation platforms (at least one of: n8n, Make.com, Gumloop, Agent.ai, etc.). Familiarity with API structures, HTTP requests, and integration logic — not coding, but conceptual and functional understanding. Basic knowledge of how AI and machine learning systems function and are used in business contexts (e.g., classification, summarization, sentiment analysis). Excellent problem-solving skills and a curious mindset — you like to “figure things out” and optimize. Ability to research tools independently and apply them effectively in workflows. Comfortable training and upskilling junior members of the team. Nice to Have: Experience working in digital marketing, operations, or customer support teams. Knowledge of task automation in CRMs, email platforms, Google Workspace, Slack, Airtable, or similar. Understanding of prompt engineering and AI agent design patterns (optional, but a bonus). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less
Posted 4 weeks ago
0 years
0 Lacs
Mumbai Metropolitan Region
On-site
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis. Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video). Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training. LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections). System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms. UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation. Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports. Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations. Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure). Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization. Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision. Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets. Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth. Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras. Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques. Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow). Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices. Excellent problem-solving skills and the ability to work with complex, large-scale datasets. Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences. Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation. Track record of publications in top-tier AI/ML/CV conferences or journals. Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics). Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services. Experience with video processing and analysis techniques. Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka). Demonstrated ability to lead technical projects and mentor team members. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Show more Show less
Posted 4 weeks ago
0 years
0 Lacs
Kanpur, Uttar Pradesh, India
Remote
Experience : 2.00 + years Salary : INR 600000-1000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRMs, OpenAI, CMS, n8n, Gumloop, Data Automation Systems, Digital Transformation Uplers is Looking for: We are looking for a tech-savvy Automation & AI Workflow Specialist who can deeply understand business operations across departments and design intelligent, automation-first solutions using modern platforms. You don’t need to be a hardcore coder or machine learning engineer, but you must be curious, analytical, and passionate about using automation tools to solve real-world business problems. Key Responsibilities: Analyze and understand business functions, workflows, and manual processes across different departments. Identify inefficiencies and propose automation or AI-based workflows to improve productivity and reduce manual work. Research emerging tools and platforms in the automation and AI space — you’re someone who enjoys experimenting and tinkering with new tech. Design and build intelligent workflows using platforms like n8n, Make.com, Gumloop, or Agent.ai. Use APIs and available integrations to connect various tools and systems into cohesive, automated workflows. Collaborate with cross-functional teams to gather requirements and deliver automation solutions aligned with business needs. Provide mentorship and guidance to junior team members working on automation projects. Document workflows and ensure knowledge sharing across teams. Required Skills and Experience: Strong understanding of business processes and operations in a service-based or cross-functional environment. Experience with no-code/low-code automation platforms (at least one of: n8n, Make.com, Gumloop, Agent.ai, etc.). Familiarity with API structures, HTTP requests, and integration logic — not coding, but conceptual and functional understanding. Basic knowledge of how AI and machine learning systems function and are used in business contexts (e.g., classification, summarization, sentiment analysis). Excellent problem-solving skills and a curious mindset — you like to “figure things out” and optimize. Ability to research tools independently and apply them effectively in workflows. Comfortable training and upskilling junior members of the team. Nice to Have: Experience working in digital marketing, operations, or customer support teams. Knowledge of task automation in CRMs, email platforms, Google Workspace, Slack, Airtable, or similar. Understanding of prompt engineering and AI agent design patterns (optional, but a bonus). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less
Posted 1 month ago
0 years
0 Lacs
Nashik, Maharashtra, India
Remote
Experience : 2.00 + years Salary : INR 600000-1000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRMs, OpenAI, CMS, n8n, Gumloop, Data Automation Systems, Digital Transformation Uplers is Looking for: We are looking for a tech-savvy Automation & AI Workflow Specialist who can deeply understand business operations across departments and design intelligent, automation-first solutions using modern platforms. You don’t need to be a hardcore coder or machine learning engineer, but you must be curious, analytical, and passionate about using automation tools to solve real-world business problems. Key Responsibilities: Analyze and understand business functions, workflows, and manual processes across different departments. Identify inefficiencies and propose automation or AI-based workflows to improve productivity and reduce manual work. Research emerging tools and platforms in the automation and AI space — you’re someone who enjoys experimenting and tinkering with new tech. Design and build intelligent workflows using platforms like n8n, Make.com, Gumloop, or Agent.ai. Use APIs and available integrations to connect various tools and systems into cohesive, automated workflows. Collaborate with cross-functional teams to gather requirements and deliver automation solutions aligned with business needs. Provide mentorship and guidance to junior team members working on automation projects. Document workflows and ensure knowledge sharing across teams. Required Skills and Experience: Strong understanding of business processes and operations in a service-based or cross-functional environment. Experience with no-code/low-code automation platforms (at least one of: n8n, Make.com, Gumloop, Agent.ai, etc.). Familiarity with API structures, HTTP requests, and integration logic — not coding, but conceptual and functional understanding. Basic knowledge of how AI and machine learning systems function and are used in business contexts (e.g., classification, summarization, sentiment analysis). Excellent problem-solving skills and a curious mindset — you like to “figure things out” and optimize. Ability to research tools independently and apply them effectively in workflows. Comfortable training and upskilling junior members of the team. Nice to Have: Experience working in digital marketing, operations, or customer support teams. Knowledge of task automation in CRMs, email platforms, Google Workspace, Slack, Airtable, or similar. Understanding of prompt engineering and AI agent design patterns (optional, but a bonus). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less
Posted 1 month ago
1 years
0 Lacs
Karol Bagh, Delhi, Delhi
Work from Office
Job Purpose: As a Content Writer Intern, the goal is to support the content team by researching, creating, and optimizing video scripts for diverse audiences (CUET, Judiciary, IAS, PCS). The intern ensures content is accurate, engaging, and relevant for exam aspirants. Primary Job Responsibilities: Conduct research on competitive exam trends and updates. Draft structured and compelling video scripts tailored to each channel. Assist with promotional strategies to grow the channel’s viewership. Specific Knowledge & Skills: Basic experience or coursework in educational content writing. Research and content summarization skills. Strong writing and editing skills in English . Proficiency with Canva, ChatGPT, or similar tools. Awareness of YouTube and social media optimization strategies. Major KRAs (SMART): Contribute to ideation and scripting for exams like CUET, Judiciary, IAS, PCS. Help grow engagement through creative and relevant content. Qualifications & Experience: Minimum Qualification: Graduate Preferred Qualification: Diploma in Mass Communication Experience: 0–1 Year Relevant Experience: Previous YouTube educational content writing
Posted 1 month ago
0 - 5 years
0 Lacs
Bengaluru, Karnataka
Work from Office
About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About the Team Internal Audit is an independent assurance/advisory function reporting functionally to the audit committee of the Board and administratively to the Finance function(CFO). IA is responsible for planning, executing, and reporting operational, compliance, financial, and technology audits. Job Summary: This role will assist the Lead Auditors in the administration of Internal Audit’s SOX GCCs Oversight program and in conducting risked based Technology Audits. For Technology Audits, Internal Audit at Lowe's focuses primarily on value-add, risked based technology audits with high visibility to Lowe's Leadership. The primary purpose of this role is to work closely with the Lead Auditors and project teams by assisting in planning, developing and executing of audit testing. Additionally, the Staff Auditor prepares inputs to written communication and deliverables for audit engagements involving the use of data analytic skills, process analysis, and critical thinking. Overall, this role will assist in audits that evaluate the effectiveness of internal controls established to manage Lowe's most significant risks. The SOX GCCs Oversight responsibilities include assisting the Lead/Senior auditors with a combination of SOX planning activities, performing independent SOX testing, reviewing management’s testing, and driving SOX-related administrative activities such as reporting of internal controls over financial reporting, as well as, continuous improvement of the program. The role will be the liaison for SOX related activities with Management and the external auditors. Engagement with Management includes consulting on controls/narratives, training on best practices, and oversight of Management testing, as well as routine quarterly SOX procedures. Roles & Responsibilities: Assists with Internal Audit’s oversight role in the Company's in Tech Audits & SOX 404 assessment, including Audit & SOX program planning activities, performing independent testing, reviewing management’s testing, and driving audit-related administrative activities such as reporting of internal controls over financial reporting. Identifies and documents aspects of the organization's systems and processes that do not comply with regulations, laws, and standards or do not comply with the organization's policies and operating procedures Assist in identifying key risks, develops process mapping and conducts testing for in-scope controls. Collects preliminary data and conducts analysis and assists Lead and Senior Auditor in detecting deficient controls, inefficiencies, duplicated effort, extravagance, fraud, or non-compliance with laws, regulations, and management policies Performs data analysis to deliver valuable insights to management, when applicable Assists Lead/Senior Auditor in the detailed report and summarization of audit findings Provides support for coordinating with the client and management to ensure project timelines are met Organizes resources, information, and significant findings from root cause, risk exposure, and management analysis. Responsible for work paper standards. Participates in rotational committee work such as internal quality reviews, issue follow up and training coordination to gain extensive knowledge and experience in key audit functional areas Project Management: Assists the Senior Auditor in coordinating with the client and management to ensure project milestone timelines are met Applies basic knowledge of Operations, Finance, and Analysis to ensure efficiency throughout the audit engagement. Utilizes internal resources to assist when audit topics require intermediate to advanced knowledge Continuously develops knowledge of audit tools and techniques to ensure quality audit work Completes assigned audit plan within the established deadlines following Lowe’s Audit Methodology Project Communication: Assists Senior Auditor in ensuring significant findings, root causes, risk exposures, and management action plans are concise and documented in a timely manner Communicates audit exceptions and other items of concern in a timely manner to the audit team and clients Develops client relationships professionally through consistent dialogue and open communications throughout the audit process Proactively collaborates and promotes knowledge share within the Internal Audit team Business Influence: Meets or exceeds customers’ expectations, looks for ways to improve their experience while creating a seamless experience by understanding how the Staff Auditor role, team goals, and daily activities fit into the company vision Drives for results by consistently achieving goals and pushing to complete tasks by their deadlines Collaboration with others: Works cross-functionally to manage and organize work processes and ensure the most efficient workflow Supports a collaborative environment by working in a team of peers to solve problems and shares information with peers, manager, and customers as appropriate Self Development: Organizes resources and information in an efficient manner to handle competing demands and accomplish what needs to be done Years of Experience: 1 to 3.5 years post qualification experience Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor’s degree in a technology-related field, like BTech, BCA, MCA, relevant audit experience, SOX, Accounting Retail business experience, Public Accounting experience, Big 4 or technology driven company experience is a plus CPA/CA, CIA, CISA, or related field (optional) Skill Set Required Primary Skills (must have) Auditing experience SOX GCC testing experience Risked Based technology Audit experience Report writing and written communication Secondary Skills (desired) Project management Negotiation Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Posted 1 month ago
5 - 8 years
0 Lacs
Hyderabad, Telangana, India
On-site
About the job Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business outcomes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the multibillion-dollar CK Birla Group, Birlasoft, boasting a team of 12,500+ professionals, is committed to carrying forward the Group's illustrious 162-year legacy. At our core, we prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, ensuring our commitment to building not just businesses but inclusive and sustainable communities. Join us in shaping a future where technology aligns seamlessly with purpose. Gen AI LLM Data science· Must have 6+ years of experience working in Data science, Machine learning and especially NLP technologies.· Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.· Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.· Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.· Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.· Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.· Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.· Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.· Passionate to learn and stay updated with the latest advancements in generative AI and LLM.· Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.· Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.· Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.· Exposure to developing Guardrails for LLMs both with open source and cloud native models. · Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.· Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.
Posted 1 month ago
0 - 7 years
0 Lacs
Bengaluru, Karnataka
Remote
Site Name: Bengaluru Luxor North Tower Posted Date: May 12 2025 Years of Experience: 9 to 12 years Skill Set / Exposure: PV background, DSUR, PBRER, Addendum to CO, PADER/PAER and Risk Management Plans. Job Description: The Principal Medical Writer is an individual expert contributor capable of independently executing complex writing assignments involving a thorough understanding of safety documents (e.g., aggregate reports and Risk Management Plans [RMPs]) and interpretation of safety data. They must demonstrate the ability to independently manage the production of safety deliverables, including those involving complex data analyses or important safety issues. This role requires extensive safety document expertise and will support continuous improvement and the implementation of best practices and adoption of new tools and technology. Key Responsibilities: Independently lead preparation of complex clinical and post-market safety documents, including but not limited to Development Safety Update Reports (DSURs), Periodic Safety Update Reports/Periodic Benefit-Risk Evaluation Reports (PSURs/PBRERs), Addendums to Clinical Overviews (ACOs), US Periodic Adverse Drug Experience Reports/Periodic Adverse Experience Reports (PADERs/PAERs), RMPs and responses to regulatory authority questions. Provide oversight to co-authors or team of writers as applicable and be accountable for the quality of their work/contributions. Lead cross-functional teams in document preparation including but not limited to development of content strategy, coordination of content contributions, organization of review schedules, and project timelines. Work in a matrix team to ensure delivery of high-quality, fit-for-purpose documents that reflect accurate interpretation of associated safety, clinical, and statistical data, and are in line with GSK standards and global, regional, and/or local regulatory requirements. Understand the interdependencies of various contributing functions (e.g., safety, regulatory, clinical, epidemiology, statistics, and programming). Anticipate and evaluate complex situations and problems, resolving them by leveraging scientific and operational knowledge in collaboration with stakeholders. Assess trends and patterns in text and statistical data and effectively organize content and messages in safety documents. Use approaches to expedite document preparation, including authoring and reviewing tools, as well as other automation/technology platforms. Serve as a mentor for less experienced writers. Develop and deliver training on medical writing topics. Lead initiatives to improve medical writing processes. Contribute to vendor oversight as needed. Education Requirements: Master’s degree or equivalent in a scientific discipline. A degree in Medicine/Dentistry/Physiotherapy/Experimental Medicine, which involves patient exposure in a hospital-based environment, would be an advantage. Job Related Experience: Minimum of 7 years of advanced safety writing experience in the pharmaceutical domain including summarization and interpretation of complex data and preparation of complex documents. In depth working knowledge of: Relevant regulatory guidance (e.g., ICH, GVP, FDA, EMA) pertaining to clinical trial conduct, pharmacovigilance, and document-specific requirements. Core cross-functional clinical research roles and procedures, and how they relate to document strategy and operational preparation. Experience in multiple therapeutic areas to have confidence to dive into these areas without lead time. Advanced understanding of and ability to apply the statistical, regulatory, and medical communication concepts needed to independently write complex safety documents. Other Job-Related Skills: Advanced safety writing skills with expertise in most safety document types. Highly collaborative, capable of leading cross‐functional team members, negotiating solutions, and advising them on document structure and content as needed. Skilled in navigating multicultural settings, ensuring effective collaboration with diverse customers and clients, such as health authorities and patients, while adeptly collaborating with remote teams. Able to independently lead multiple projects simultaneously and deliver multiple high-quality documents on schedule. Advanced computer skills and general computer literacy. Excellent English language proficiency, both verbal and written. Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way. GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable. If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.
Posted 1 month ago
2 - 4 years
0 - 1 Lacs
Coimbatore, Tamil Nadu, India
On-site
Position: AI/ML Engineer Location: Bangalore or Coimbatore Experience Required: 2-4 years in AI/ML development Role Overview We are looking for a passionate AI/ML Engineer to contribute to the development of AI-powered applications. The role involves building and deploying machine learning models, ensuring performance optimization, and integrating solutions into production environments. Key Responsibilities Develop and train AI/ML models using frameworks like TensorFlow or PyTorch. Implement generative AI solutions such as RAG, agentic AI systems, document extraction, custom model deployment, summarization, and text generation. Create APIs and microservices to integrate models with applications. Preprocess and clean data for high-quality model inputs. Monitor and troubleshoot deployed models to maintain performance. Collaborate with cross-functional teams to enhance AI workflows. Stay updated on the latest advancements in generative AI and integrate them into projects. Required Skills Solid foundation in ML algorithms and concepts. Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Proficiency in Python and libraries like NumPy, Pandas, and Scikit-learn. Familiarity with RAG frameworks, agentic AI solutions, and generative AI. Skills: bedrock,pandas,amazon bedrock,generative ai,sagemaker,python,ml,langchain,hugging face,algorithms,artificial intelligence,amazon,tensorflow,scikit-learn,agents,machine learning,numpy,pytorch,models
Posted 1 month ago
6 years
0 Lacs
Mumbai Metropolitan Region
On-site
Position: GenAI Lead Location: Airoli, Mumbai Experience Required: 6+ years in AI/ML, with 2+ years in GenAI projects Role Overview We are seeking an innovative and strategic GenAI Lead to spearhead our generative AI initiatives. The ideal candidate will lead the development and deployment of GenAI models, driving innovation while aligning solutions with business objectives. Key Responsibilities Lead the design and development of GenAI solutions, including RAG, agentic solutions, fine-tuning models, document extraction, custom model deployment, summarization, text-to-image, and text generation. Work with domain specific AI initiatives in Healthcare domain, like GenAI in medical coding, RCM etc Collaborate with stakeholders to identify use cases and tailor GenAI solutions to meet business requirements. Track the technical initiatives mapped to the project, assign the right technical skills, deliver the project outcomes in an agile manner Architect and implement solutions using frameworks such as Amazon Bedrock and SageMaker. Oversee the development and deployment of advanced RAG techniques and agentic AI systems. Monitor and enhance the performance of deployed models. Drive research and experimentation with cutting-edge generative AI models. Ensure compliance with ethical AI standards and data privacy regulations. Ensure to optimize the GenAI solutions through prompt optimization, batch processing or other techniques Required Skills Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Strong expertise in NLP and computer vision techniques. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Proven experience in integrating GenAI solutions into real-world applications. Leadership experience managing cross-functional AI/ML projects. Hands-on expertise with Python, TensorFlow, PyTorch, and related AI libraries. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Skills: model deployment,bedrock,optimization,nlp techniques,python,genai frameworks (amazon bedrock, sagemaker, hugging face, langchain),autonomous agents,mlops,computer vision techniques,amazon,tensorflow,agents,aws,model optimization,pytorch,agentic ai workflows,models,design
Posted 1 month ago
6 years
0 Lacs
Mumbai Metropolitan Region
On-site
Position: GenAI Lead Location: Airoli, Mumbai, HSR, Bangalkore Experience Required: 6+ years in AI/ML, with 2+ years in GenAI projects Role Overview We are seeking an innovative and strategic GenAI Lead to spearhead our generative AI initiatives. The ideal candidate will lead the development and deployment of GenAI models, driving innovation while aligning solutions with business objectives. Key Responsibilities Lead the design and development of GenAI solutions, including RAG, agentic solutions, fine-tuning models, document extraction, custom model deployment, summarization, text-to-image, and text generation. Work with domain specific AI initiatives in Healthcare domain, like GenAI in medical coding, RCM etc Collaborate with stakeholders to identify use cases and tailor GenAI solutions to meet business requirements. Track the technical initiatives mapped to the project, assign the right technical skills, deliver the project outcomes in an agile manner Architect and implement solutions using frameworks such as Amazon Bedrock and SageMaker. Oversee the development and deployment of advanced RAG techniques and agentic AI systems. Monitor and enhance the performance of deployed models. Drive research and experimentation with cutting-edge generative AI models. Ensure compliance with ethical AI standards and data privacy regulations. Ensure to optimize the GenAI solutions through prompt optimization, batch processing or other techniques Required Skills Proficiency in GenAI frameworks like Amazon Bedrock, SageMaker, Hugging Face, and LangChain. Strong expertise in NLP and computer vision techniques. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Proven experience in integrating GenAI solutions into real-world applications. Leadership experience managing cross-functional AI/ML projects. Hands-on expertise with Python, TensorFlow, PyTorch, and related AI libraries. Ability to design Agentic AI Workflows & Autonomous Agents Experience in MLOps, Model Deployment & Optimization Strong problem-solving and research mindset Skills: model deployment,bedrock,optimization,amazon bedrock,nlp techniques,sagemaker,python,genai frameworks,langchain,hugging face,autonomous agents,mlops,computer vision techniques,amazon,tensorflow,agents,aws,pytorch,agentic ai workflows,models,design
Posted 1 month ago
5 - 8 years
0 Lacs
Chennai, Tamil Nadu, India
Remote
About Quranium In a world where rapid innovation demands uncompromising security, Quranium stands as the uncrackable foundation of the digital future. With its quantum-proof hybrid DLT infrastructure, Quranium is redefining what's possible, ensuring data safety and resilience against current and future threats, today. No other blockchain can promise this level of protection and continuous evolution. Quranium is more than a technologyit's a movement. Empowering developers and enterprises to build with confidence, it bridges the gaps between Web2 and Web3, making digital adoption seamless, accessible, and secure for all. As the digital superhighway for a better future, Quranium is setting the standard for progress in an ever-evolving landscape. Role Overview As our AI LLM Specialist, youll be the bridge between cutting-edge AI and blockchain technology. Youll be responsible for integrating, fine-tuning, and deploying language models that enhance the experience of developers, users, and contributors across the Quranium ecosystem. Core Responsibilities Build and integrate LLM-powered tools to support:Developer onboarding and support (e.g., natural language-to-smart contract interfaces)Automated technical documentation and in-protocol searchSmart contract explanation, simulation, and summarization Fine-tune or prompt-engineer proprietary and open-source LLMs for Quranium-specific tasksExplore LLM-powered experiences for governance, staking, and ecosystem educationDesign secure and efficient LLM pipelines that respect on-chain/off-chain boundariesCollaborate with cryptographers to align LLM outputs with post-quantum security requirementsResearch and experiment with verifiable AI, zkML, or AI-driven formal verificationContribute to a best-in-class developer and user experience with intelligent AI assistance Requirements 3+ years working with LLMs (e.g., GPT, Claude, LLaMA, Mistral, etc.)Strong proficiency in Python and AI frameworks (e.g., LangChain, Hugging Face, OpenAI API)Experience with model fine-tuning, evaluation, and prompt engineeringFamiliarity with blockchain concepts and smart contract development (Solidity, Rust, etc.)Deep curiosity and willingness to explore the intersection of AI, cryptography, and decentralized systems Knowledge of Blockchain is a plusBonus: Experience with post-quantum cryptography, zkML, or formal verification tools How We Work At Quranium We are not your average team, and we are not looking for average mindsets. To thrive here, you should be someone who: Builds with security at the core. Its not an afterthought, its your starting point.Moves fast and owns outcomes. You take initiative, flag blockers early, and fix whats broken without waiting.Works like a founder. No hand-holding. Just deep ownership, resourcefulness, and a strong bias toward action.Loves to learn and share. Youre always upskilling and turning what you learn into something others can use.Thinks big. Then bigger. Bold ideas dont intimidate you. They energize you.Collaborates with intent. Clear communication, shared wins, and solving tough problems together come naturally.Thrives in a flexible, high-velocity environment. We work smart, move fast, and go long when the mission calls. If you value autonomy and momentum, youll fit right in. Location: Remote Team: Tech & Product Type: Full-time
Posted 1 month ago
0 years
0 Lacs
Mumbai, Maharashtra
Work from Office
Position This role will be part of the Wholesale Credit Risk Quantitative Research – Applied AI/ML team that has been tasked to develop Generative AI solutions on top of the firm’s big data resources. In particular, the role will focus on building tools based on LLM to enhance the current End-to-End credit risk process across all of Wholesale. Responsibilities Include but not limited to: Have deep understanding in modern Machine Learning methodologies, LLM and NLP techniques, and apply thoughtful data science and analytical skills to solve complex business problems. Develop risk strategies that improve risk monitoring capabilities through the use of data from various source. Analyze structured/unstructured data from internal and external data sources to drive actionable insights in credit risk. Lead development and rapid deployment AI solutions based on macro-economic factors and current events on the Wholesale portfolio. Develop data visualization and summarization techniques to convey key findings in dashboards and presentations to senior management. Qualifications Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Deep understanding and practical expertise and/or work experience with Machine Learning. LLM/NLP expertise or experience is strongly preferred Experience across broad range of modern analytic and data tools, particularly Python/Anaconda, Tensorflow and/or Keras/PyTorch, Spark, SQL etc. Experience working on Cloud is preferred Experience with model implementation/production deployment is preferred Excellent problem solving, communications, and teamwork skills Financial service background preferred, but not required Desire to use modern technologies as a disruptive influence within Banking
Posted 1 month ago
0 years
0 Lacs
Mumbai, Maharashtra, India
On-site
About Us: Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced Product Manager to play a pivotal role in future success. Company Website- https://fluentinhealth.com/ Job Description: We're hiring a Product Manager to drive the development of our core health platform spanning mobile/web apps, backend systems, AI chatbot experiences, and health outcome algorithms. This role is ideal for someone who thrives in 0→1 environments, enjoys cross-functional problem-solving, and cares deeply about user impact. Responsibilities:Product Strategy: Shape and drive the roadmap across patient and provider-facing apps, backend services, and AI modules.Chat & UX: Partner with design and ML teams to evolve our AI health companion improving utility, trust, and engagement.Evaluation & Intelligence: Define frameworks and lead product work on evaluating LLM outputs, summarization quality, and clinical accuracy.User Experience: Ensure our apps are intuitive, reliable, and delightful across the patient journey onboarding, consultations, records, and follow-ups.Cross-functional Execution: Work closely with engineering, AI/ML, clinical, and ops teams to build, launch, and refine key features. Qualifications: 3-6 years of product management experience in B2C platforms experience in Healthtech, AI, or Conversational products is a strong plus.Comfortable working across frontend, backend, and AI systems you can zoom into technical details while keeping sight of user value.Data-informed, hypothesis-driven decision-maker with a bias toward action.Strong instincts for user experience, especially for mobile-first, multilingual Indian audiences.Excellent communicator who can align diverse stakeholders and build with urgency and care.Prior experience building evaluation systems for AI/LLM outputs.Exposure to Indian healthcare systems (e.g., working with doctors, patients, or medical data).Technical background or hands-on familiarity with ML workflows.
Posted 1 month ago
5 years
0 Lacs
Pune, Maharashtra, India
Hybrid
Position: AI Technical LeadExperience Required: 5+ YearsCompany: Academian (EdTech Domain)About UsAcademian is a leading EdTech company developing innovative software solutions. We focus on enhancing education through technology, delivering impactful learning experiences, and shaping the future of education with AI-driven solutions.Role OverviewWe are seeking an experienced AI Technical Lead to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.Key ResponsibilitiesAI Model Development:Design, train, and deploy AI models for diverse use cases, including:Computer Vision: Image recognition, object detection, segmentation etc.Natural Language Processing (NLP): Text classification, summarization, question-answering systems etc.Generative AI: Fine-tuning and deploying open-source large language models (LLMs) and Private Models.RAG (Retrieval-Augmented Generation): Implement AI systems combining retrieval with generative models.Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).Open-Source LLM Development:Develop and fine-tune open-source LLMs to cater to domain-specific needs.Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.Integration & Architecture:Integrate AI solutions with Vector/Graph db for advanced data relationships and queries.Implement and manage MLOps/LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.Leadership:Mentor and guide junior engineers, fostering innovation and skill development.Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.Infrastructure:Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.Best Practices:Establish robust practices for coding, testing, and documenting AI solutions.Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.RequirementsExperience5+ years of experience in AI/ML, with at least 2 years in a technical lead role.Proven expertise in designing and deploying AI solutions in production environments.Technical SkillsStrong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models.Familiarity with open-source LLM development and deployment Experience with RAG architectures, Graph Databases, and LLMOps practices.Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).Domain KnowledgeFamiliarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.Soft SkillsExceptional leadership and team mentoring abilities.Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.EducationBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields. Why Join Us:Opportunity to lead AI initiatives that shape the future of education technology.Work in a collaborative, mission-driven environment with a focus on innovation.Engage with impactful projects and cutting-edge AI technologies.Competitive salary, benefits, and opportunities for professional growth.
Posted 1 month ago
5 - 8 years
0 Lacs
Hyderabad, Telangana, India
On-site
We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results.Responsibilities:Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle.Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks.Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks.Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as:Text generation (content creation, summarization, chatbots).Image and video synthesis.Code generation and assistance.Synthetic data generation and augmentation.Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems.Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings.Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences.Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams.Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability.
Posted 1 month ago
14 years
0 Lacs
Ahmedabad, Gujarat, India
Hybrid
Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities Experience of minimum 14 years, with atleast 5 years in AI based techologies. Should also have past experience in Java based backend developmentAI Development and Implementation:Design, develop, and deploy cutting-edge AI solutions using GenAI technologies.Implement and optimize Large Language Models (LLMs) for natural language processing (NLP) applications.Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making.Requirements Quality Management:Integrate AI models with Requirements Management Software tool to ensure high-quality requirements management.Develop custom AI algorithms to automate requirement validation, improve quality, and detect inconsistencies.Solution Optimization and Integration:Fine-tune NLP models to align with domain-specific needs and improve accuracy.Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.Mentorship and Leadership:Mentor junior developers on AI best practices, tools, and frameworks.Lead brainstorming sessions to explore innovative AI applications and solutions.Research and Innovation:Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems.Conduct proof-of-concept projects to evaluate emerging technologies for business use cases. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Programming Expertise:Proficient in Python with demonstrated experience in AI and ML development.GenAI and LLMs:Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs).NLP Skills:Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding.RAG Expertise:Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems.Tools and Frameworks:Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Preferred Technical And Professional Experience DevOps and MLOps:Knowledge of deploying AI models in production environments using MLOps best practices.Data Engineering:Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets.Agile Methodologies:Experience working in Agile development environments for iterative delivery.Soft Skills: Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.
Posted 1 month ago
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