1042 Llm Jobs - Page 3

You will be working for one of our direct clients in Pune as a Data Scientist-ML Engineer on a Fixed Term Contract basis. With 5-10 years of experience, preferred domain knowledge in Investment Banking or Trade Lifecycle, Settlements, Inventory Management will be an advantage. Your role will involve extracting actionable insights from complex data through statistical analysis, machine learning, and data modeling to facilitate strategic decision-making. Proficiency in Python, Machine Learning Algorithms, Model Training/Deployment, Computer Vision, LLM, Statistical Analysis, Data Visualization, SQL, Cloud Platform (Azure), and MLOps will be essential for this position. If you are passionate about leveraging data to drive business decisions and have the required skill set, we would like to hear from you.,

Design and deploy GenAI apps using OpenAI, Azure, LangChain, AutoGen, etc. Build full-stack apps (React/NextJS, NodeJS), work on speech & vision AI, video processing (FFMPEG), and collaborate on agile R&D with global teams.

Description Design, develop, and deploy automation workflows using UiPath. Build and maintain services and APIs using .NET C# Develop scripts and automation tools using Python Design and optimize SQL queries and database structures in SQL Server Integrate and experiment with LLMs for automation and intelligent task handling Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions Qualifications Undergraduate degree or equivalent experience. Bachelors degree in Computer Science, Engineering, or related field. 3+ years of experience in software development and automation. Proficiency in UiPath, Python, .NET, and SQL Server. Understanding of Large Language Models (LLMs) and their application in real-world scenarios. Experience with REST APIs and version control systems like Git. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications: UiPath Developer Certification. Hands-on experience with LLM APIs. Familiarity with prompt engineering and AI workflow design.

We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If youre passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB Key Requirements Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture.

Data Scientist/ Machine Learning Engineer with exp of PROMPT, python (must) Gen AI (Must). Proven ability to write clear and specific instructions for LLM and diffusion models ( It can be from open AI / Microsoft AZURE / AWS ),

AI Developer Work Timing - 12 pm - 9 pm Work Location - Bangalore- Hybrid ( 3 days a week work from client location) Experience - 3-5 years Candidates need to submit any past case study along with their GitHub profile Lead Time - Immediate Budget 13/14 LPA Position Overview: We're seeking a problem-solving AI Developer with 3-5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. Youll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. Key Skills - Python , TensorFlow , Pytorch , Neural Networks , LLM's Must-Have Qualifications: 35 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks ( CNNs, RNNs, Transformers) and building RAG systems . Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Key Responsibilities: Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

Senior AI Engineer Experience: 4 - 9 Years Exp Salary: Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: NLP AND LLMs AND Python AlphaSense (One of Uplers' Clients) is looking for: Senior AI Engineer About the Role: Job Description: About AlphaSense: The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a passionate Senior AI engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting edge deep learning, NLP, search, and next-generation Generative AI platform powering AlphaSense’s AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You’ll Do: Architect, design, and implement highly scalable services for AlphaSense AI and Search products. Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments. Deploy AI and Search services to both SaaS and single-tenant cloud environments. Translate product requirements into software architectures in collaboration with Product Management. Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset. Provide technical leadership and implement best practices for software development. Who You Are: Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale. Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI. Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering. Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc. Experience in leading teams and/or projects in a full-stack environment. Excellent communication, organizational, problem-solving, debugging, and analytical skills. Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure. Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments. Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks. Experience in optimizing the performance and cost of cloud services. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud: We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Senior AI Engineer Experience: 4 - 9 Years Exp Salary: Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: NLP AND LLMs AND Python AlphaSense (One of Uplers' Clients) is looking for: Senior AI Engineer About the Role: Job Description: About AlphaSense: The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a passionate Senior AI engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting edge deep learning, NLP, search, and next-generation Generative AI platform powering AlphaSense’s AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You’ll Do: Architect, design, and implement highly scalable services for AlphaSense AI and Search products. Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments. Deploy AI and Search services to both SaaS and single-tenant cloud environments. Translate product requirements into software architectures in collaboration with Product Management. Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset. Provide technical leadership and implement best practices for software development. Who You Are: Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale. Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI. Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering. Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc. Experience in leading teams and/or projects in a full-stack environment. Excellent communication, organizational, problem-solving, debugging, and analytical skills. Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure. Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments. Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks. Experience in optimizing the performance and cost of cloud services. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud: We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Senior AI Engineer Experience: 4 - 9 Years Exp Salary: Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: NLP AND LLMs AND Python AlphaSense (One of Uplers' Clients) is looking for: Senior AI Engineer About the Role: Job Description: About AlphaSense: The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a passionate Senior AI engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting edge deep learning, NLP, search, and next-generation Generative AI platform powering AlphaSense’s AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You’ll Do: Architect, design, and implement highly scalable services for AlphaSense AI and Search products. Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments. Deploy AI and Search services to both SaaS and single-tenant cloud environments. Translate product requirements into software architectures in collaboration with Product Management. Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset. Provide technical leadership and implement best practices for software development. Who You Are: Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale. Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI. Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering. Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc. Experience in leading teams and/or projects in a full-stack environment. Excellent communication, organizational, problem-solving, debugging, and analytical skills. Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure. Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments. Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks. Experience in optimizing the performance and cost of cloud services. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud: We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Senior AI Engineer Experience: 4 - 9 Years Exp Salary: Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: NLP AND LLMs AND Python AlphaSense (One of Uplers' Clients) is looking for: Senior AI Engineer About the Role: Job Description: About AlphaSense: The worlds most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: AlphaSense is seeking a passionate Senior AI engineer to join our AI & Search mission. This cluster of teams is responsible for developing cutting edge deep learning, NLP, search, and next-generation Generative AI platform powering AlphaSense’s AI & Search product features. As part of this team, you will collaborate with talented engineers to deliver scalable solutions for our world-class AI-powered search platform. What You’ll Do: Architect, design, and implement highly scalable services for AlphaSense AI and Search products. Improve the reliability, latency, and cost-efficiency of AI and search services in cloud environments. Deploy AI and Search services to both SaaS and single-tenant cloud environments. Translate product requirements into software architectures in collaboration with Product Management. Solve challenges that come along with working with large language models (high latency, variance, etc.), leading to a defensive, fault-first mindset. Provide technical leadership and implement best practices for software development. Who You Are: Strong software engineering skills in back-end engineering on complex, data-intensive applications with professional, real-world experience with applications at scale. Extremely proficient in Applied LLM/NLP, developing and deploying solutions using NLP frameworks like LangChain, HuggingFace, back-end web frameworks like FastAPI. Hands on experience building and deploying Open Source and Commercial LLMs like Llama, Claude etc., deep understanding of Prompt Engineering. Deep, hands-on experience across a few back-end web frameworks like FastAPI, Django, Sanic etc. Experience in leading teams and/or projects in a full-stack environment. Excellent communication, organizational, problem-solving, debugging, and analytical skills. Experience designing large-scale software systems and writing high-quality code and tests. Which includes handling error cases, asynchronous code, streaming data, caching, logging and analytics for understanding behavior in production. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, GCP, or Azure. Experience in deploying AI and search services (e.g. vector search) to single-tenant cloud environments. Knowledge of modern development practices, including CI/CD pipelines and automated testing frameworks. Experience in optimizing the performance and cost of cloud services. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud: We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

Vayuz Technologies is seeking an innovative and self-starting Artificial Intelligence Engineer. You will be an AI expert with a strong background in making architectural tradeoffs to optimize AI performance for a variety of use cases. This role involves close collaboration with internal and external development engineers (architecture, hardware, validation, software services), contributing to development, and supporting device characterization and benchmarking efforts. Responsibilities Large Models & Deep Neural Networks: Demonstrate proficiency and hands-on experience in working with large models and deep neural networks. LLM Expertise: Possess expertise in LLMs with working knowledge of large language models (LLMs). System Architecture: Bring extensive experience in System platform Architecture. Development Experience: Experience in development, preferably for memory/storage/any embedded system. Standards & Patents: Possess in-depth knowledge and extensive experience in dealing with Standardizations, Technical Papers, and Patents. Programming Proficiency: Extensive experience with C/C++ and Python programming. LLM Development & Fine-tuning: Develop and fine-tune LLMs (e.g., GPT, Llama, Mistral, Falcon, Claude) for domain-specific applications. RAG Pipeline Implementation: Implement RAG (Retrieval Augmented Generation) pipelines using tools like LlamaIndex, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to significantly enhance response accuracy. AI-Powered Agents: Build advanced AI-powered chatbots and autonomous agents using frameworks like LangGraph, CrewAI, and leveraging LlamaIndex and OpenAI APIs. Generative AI Optimization & Deployment: Optimize and deploy generative AI models for real-time inference using cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools (e.g., Docker, Kubernetes, MLflow). Model Fine-tuning Techniques: Fine-tune models using techniques such as LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. AI-Driven Workflows: Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Multi-Modal AI Integration: Integrate multi-modal AI models (text, image, speech) into comprehensive enterprise solutions. Memory & Retrieval Strategies: Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ethical AI: Ensure AI models adhere to ethical AI guidelines, incorporate bias mitigation strategies, and follow robust security best practices. Requirements B.Tech in Computer Science or Electrical Engineering. Experience in the relevant domain. Strong analytical and abstract thinking ability, as well as excellent technical communication skills. Able to work independently and perform effectively in a fast-paced environment. Ability to troubleshoot and debug complex issues efficiently. Working knowledge of Device Drivers is desirable. Prior experience in working with Agile/Scrum methodologies. Required Skills Languages & Frameworks: Proficiency in Python, PyTorch, TensorFlow, JAX. LLMs: Large Language Models (GPT, Llama, Mistral, Falcon, Claude). Vector Databases: FAISS, Pinecone, Weaviate, ChromaDB. AI Frameworks: LlamaIndex, LangGraph, CrewAI, OpenAI APIs. MLOps & Cloud: Docker, Kubernetes, MLflow, AWS, GCP, Azure. Fine-tuning: LoRA, QLoRA, PEFT, RLHF.

As a Software Developer, you will be responsible for designing, developing, modifying, debugging, and maintaining software systems. Your role will involve working on specific modules, applications, or technologies, handling sophisticated assignments throughout the software development process. Your responsibilities will include owning specific modules within applications, providing technical support and guidance during solution design, presenting software product demos to partners and customers, investigating issues by reviewing/debugging code and providing solutions, and bringing continuous improvements to software or business processes through automation and innovative techniques. Key responsibilities will involve working with LLMs such as Lama, Gpt, and others, handling GenAI use cases, developing cloud jobs for data ingestion, creating partnerships with project stakeholders, and implementing Gen AI use-cases in live production. Mandatory technical skills required for this role include experience in deep learning engineering, strong NLP/LLM experience, proficiency in Python & Terraform programming, building backend applications using Python and deep learning frameworks, deploying models and building APIs, experience with GPUs, and working knowledge of vector databases and transformers. Good to have technical skills include knowledge and experience in Kubernetes, Docker, cloud experience with VMs and Azure storage, and sound data engineering experience. In terms of behavioral skills, you should demonstrate good communication with clients and operational managers, strong problem-solving abilities, the capacity to build relationships, adaptability, prioritization skills, the ability to anticipate problems and solutions, an innovative approach, and willingness to work in shifts/extended hours.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

You have an exciting opportunity to join Anervea.AI as a Clinical Data Scientist in their Pune office. Anervea.AI is seeking individuals with expertise in Clinical Data, Python, GenAI, RAG Framework, LLM, HealthTech, biomedical, and Pharmaceutical domains. As a part of the team, you will be responsible for developing, training, and fine-tuning large language models and generative architectures such as LLMs, VAEs, Transformers, and GANs. You will also integrate models with applications using frameworks like LangChain, LlamaIndex, and RAG, design LLM-based agents for various use cases, and build prompt templates and semantic memory flows using vector databases like Pinecone or FAISS. In this role, you will collaborate closely with backend and data teams to ingest data from a variety of sources including PDFs, APIs, structured databases, and JSON files. It will be your responsibility to benchmark model outputs, run experiments to optimize cost, performance, and quality, and stay updated on the latest AI research to implement useful techniques in production environments. Additionally, you will be expected to write clear, modular, reusable code with proper documentation and test coverage, as well as troubleshoot any model-related deployment or inference issues that may arise. To excel in this position, you must possess strong Python programming skills and have experience with foundation models like Transformers, Hugging Face, OpenAI/Anthropic APIs, and Med-GEMMA. Familiarity with agentic frameworks such as LangChain, LlamaIndex, LangGraph, and semantic RAG, along with experience in working with vector databases like Pinecone, FAISS, or Weaviate is essential. You should also be comfortable with prompt engineering, few-shot learning, fine-tuning basics, and have the ability to process and clean unstructured data like PDFs, notes, and research papers. Understanding of NLP metrics, model evaluation techniques, and bonus experience with biomedical or clinical data will be advantageous. Moreover, familiarity with deploying models via FastAPI, Docker, or Streamlit will be considered a bonus. As a candidate, you are expected to possess certain personal attributes including curiosity, attention to detail, ownership mindset, ability to work independently, passion for building usable AI, and strong communication and collaboration skills. Bonus qualities that will set you apart include having built or deployed LLMs into production, experience with healthcare or life sciences data, and showcasing personal projects, GitHub repos, or AI experiments that reflect your passion for the field. The interview process for this opportunity will involve a technical round with the Head of Engineering at Anervea.AI. To apply for this position, you can follow the simple steps provided - Click on Apply, Register or Login on the portal, complete the Screening Form, and upload your updated resume to increase your chances of getting shortlisted for an interview with the client. At Uplers, our aim is to make hiring reliable, simple, and fast for all our talents. We are here to support you throughout your engagement and help you progress in your career. If you are ready for a new challenge, a great work environment, and an opportunity to elevate your career to the next level, apply today and take the first step towards joining our team at Anervea.AI. We are excited to welcome you on board!,

What does day-to-day look like: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes. Requirements: 5+ years of strong experience with Python programming language concepts, including ownership, borrowing, and lifetimes Industry experience and knowledge of code quality, formatting, and best practices of software development Experience with Pythons testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Python. Ability to work with architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Fluent in conversational and written English communication skills Evaluation Process : Two rounds of interviews Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply. Must possess strong communication skills , both written and verbal. Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting

Arivon is seeking an Artificial Intelligence (AI) Software Engineer with expertise in generative AI, Natural Language Processing (NLP), and LLM. The ideal candidate should have a minimum of 5 years of experience in NLP and Generative AI and LLM research. The role involves tasks such as language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, and efficient training and inference. Additionally, the candidate should have experience in multilingual and multimodal modeling. The AI Software Engineer should have hands-on experience with Machine Learning (ML), NLP, and Deep Learning (DL) frameworks like PyTorch, Tensorflow, and SFT on LLM. Proficiency in leveraging LangChain for the development and integration of LLMs into various applications is essential. The candidate should demonstrate a strong ability to enhance AI functionalities through innovative applications of natural language processing and understanding. Experience with model quantization or computational optimizations is considered a plus. Familiarity with cloud platforms such as AWS, GCP, and Azure is advantageous, and prior experience in the Healthcare domain is a bonus. The role also involves designing methods, tools, and infrastructure to advance the state of the art in large language models. Responsibilities include deploying, monitoring, and managing ML models in production to ensure high availability and low latency. The candidate will be expected to manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools. A Master's degree in computer science, computer engineering, or a related technical field is required, while a Ph.D. in AI, computer science, data science, or related fields is preferred. Proficiency in programming languages like Python is necessary for this role.,

- Proficiency in LLM systems, prompt fine-tuning - experience with infrastructure management, model deployment, and optimization. - Understanding of cloud architecture, performance and scalability. - Experience with machine learning frameworks Health insurance Provident fund

We're Hiring: Sr. Software AI Engineer AI & ML Location: Remote / On-site Specify Type: Full-time | Join Within: 30 Days Department: AI & Machine Learning Apply Now: nitu.singh@simplifyhealthcare.com At Simplify Healthcare , we're on a mission to transform payer operations through automation, intelligence, and next-gen AI. Founded in 2008, were a leading healthcare IT company driving innovation across health insurance platforms. Our latest game-changer? A powerful agentic AI platform built on LLMs and Retrieval-Augmented Generation (RAG) . This is your chance to work on meaningful real-world problems, from automating claims to intelligent provider queries all while shaping the future of healthcare. What Youll Do: As a Senior AI/ML Engineer , you'll play a pivotal role in building intelligent agents and conversational AI systems that make healthcare smarter, faster, and more human. You will: Design & build LLM-powered RAG pipelines with Azure Cognitive Search or similar vector databases. Develop conversational agents using LangChain , Python , and cutting-edge agent frameworks. Fine-tune or prompt-tune LLMs (Azure OpenAI) for healthcare insurance use cases. Integrate structured & unstructured data (MongoDB, MSSQL) into AI workflows. Build high-performance APIs with FastAPI for real-time model serving. Collaborate across teams to enhance product UX and AI performance. Optimize agent memory, reasoning, and multi-agent collaboration. Drive innovation with A/B testing , prompt engineering , and LLM evaluation cycles . Skill Required: 3+ years of experience in AI/ML or NLP engineering. Solid experience building RAG pipelines , LLM-based applications , or vector search . Strong skills in Python and FastAPI or Flask. Hands-on with MongoDB , unstructured/structured data integration. Understanding of prompt engineering , multi-agent systems , and context optimization . Experience with Azure cloud AI services is a huge plus. Great communication and cross-functional collaboration skills. Bonus Points If You Have: Worked on agentic AI architectures or multi-agent orchestration . Integrated claims, benefits, or policy data into AI workflows. Knowledge of healthcare payer systems , HIPAA , or regulatory environments. Why Simplify Healthcare? Be part of a cutting-edge AI journey in a high-impact domain. Work on real-world challenges that truly matter. Collaborate with a smart, passionate, and supportive team. Enjoy a flexible, innovation-first culture where you own your growth. How to Apply: If you are passionate about AI and can join within 30 days , we would love to hear from you! Please share your CV at: nitu.singh@simplifyhealthcare.com

Greetings from Sun Technologies. Position: AI Engineer Years Of Experience: 5+ Years Work Location: HBR Layout, Bangalore (work from office) Job Type: Permanent/Fulltime Position Interview Mode : Virtual Shift Details: 12:30 PM TO 9:30 PM-IST (Free 2 ways cab with dinner) Roles Responsibilities: Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python If interested please share updated resume to chandanap@suntechnologies.com, appreciate for references.

Looking for Top Talent in Data Science healthcare Domain Immediate Joiner/30 Days Work From Office - 5 Days (Hebbal Location) Job Summary We are seeking a Senior Data Scientist Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Senior Data Scientist Gen AI, youll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: The ability to design and develop ML, Gen AI, NLP, LLM Models for AI data pipelines. Model components will include data ingestion, preprocessing, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering . Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field 5-8 years of hands-on experience in data science, analytics, or machine learning roles Knowledge of ML Ops practices deploying and operationalize AI models. Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes). Demonstrated experience working with large datasets and statistical modeling Proficiency in Python or R for data analysis and machine learning Experience with SQL and database management systems Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental designJD Template for Senior Data Scientist Gen AI Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What Youll Need to Be Successful (Required Skills): Large Language Model (LLM) Experience : At least 5 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques. LLM experience should include Claude, Llama models.Understanding of RAG techniques is a critical skill. Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Soundarya College of Law seeks a dedicated and dynamic Assistant Professor to join our faculty in the fields of Law subjects and Economics. Pursue opportunities for professional growth, including attending workshops, seminars, and conferences. Provident fund

Soundarya College of Law seeks a dedicated and dynamic Assistant Professor to join our faculty in the fields of Law subjects and Economics. Pursue opportunities for professional growth, including attending workshops, seminars, and conferences. Provident fund

Our Client is Big Leasing Company dealing in big brands Lease Agreements. Their Clients are among Big Brands of India Designation - Legal Manager / Executive You need to draft and Check Legal Agreements. For any Query, call 8000044060 Required Candidate profile Fresher or Experienced Candidate with LLB Qualification and having knowledge of Lease Agreements, can only apply. Good English Communication Required. For any Query, call 8000044060

Job Description Skills : B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented). Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Building RAG application independently using available open source LLM models. Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks). Key Skills : Data Science (AI/ML) ,python ,LLM ,any cloud environment (AWS/Azure/GCP, Databricks)