1069 Llm Jobs - Page 37

Hiring for Randstad Client Looking for candidate's only from Finance, Accountancy, Economics educational background . What You Will Be Doing: 1. Creating High-Quality Content for Various AI Models: Develop conversational prompts and responses. Create generative prompts and responses. Write description prompts. Provide detailed descriptions of videos with or without audio. Summarize video content. Generate image captions. Create video event captions. 2. Evaluating Human or AI-Generated Prompt-Response Pairs: Score prompt-response pairs on multiple parameters and categories. Provide constructive feedback and suggest improvements where applicable. 3. Comparing and Rating Multiple AI-Generated Prompt-Response Pairs: Evaluate and score prompt-response pairs based on various parameters. Refine and enhance responses as needed. Required: Strong understanding of NLP concepts and techniques. Experience with large language models and AI systems. Excellent written and verbal communication skills, with a passion for language and storytelling. Ability to think creatively and solve problems, adapting to new challenges and priorities Strong analytical skills and attention to detail. Effective collaboration skills within a cross-functional team. 5 days working(Work from home) General shift Virtual Interview Interested candidate's share CV on p.preethi@randstad.in

Role & responsibilities Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. Version Control and Governance : Implement version control and governance for models and data. Preferred candidate profile Bachelor's degree in computer science, Software Engineering, or a related field 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect Familiarity with software testing and test automation practices Understanding of ethical considerations in machine learning deployments Strong problem-solving skills and ability to work in a fast-paced environment

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Ensure compliance with Companies Act, SEBI LODR & Depositories Regulations Draft agendas, Minutes & support Board/Committee meetings Manage IPO and post-listing compliances Prepare and file e-forms with MCA; support audits and regulatory inspections Required Candidate profile CS with LLB/LLM and 2+ years of exp Coordinate with Directors; monitor legal updates & draft policies/SOPs Handle SEBI inspections & respond Stay updated on legal, regulatory changes Immediate Joiners

Backend Developer Experience: 1 - 3 Years Exp. Salary : INR 15-20 Lacs per annum Preferred Notice Period : Within 60 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, MicroServices, Rest APIs, LLM, Ai products, Amazon AWS, Cloud Services Good to have skills : Agent Orchestration, AI-powered SaaS, open-source projects, Prompt engineering Lyzr (One of Uplers' Clients) is Looking for: Backend Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What Youll Do : Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Collaborate with frontend, ML, and product teams to create seamless AI experiences Optimize backend systems for performance, scalability, and reliability Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) Maintain clean, secure, and production-grade code Contribute to the architecture and roadmap of our GenAI stack What Were Looking For : 13 years of experience in backend development Proficient in Python Strong experience with REST APIs, microservices, and scalable cloud infrastructure Experience building or supporting GenAI applications and/or LLM-powered products Comfortable working with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Excellent problem-solving, communication, and collaboration skills Nice to Have Experience building and scaling AI-powered SaaS products Contributions to open-source GenAI projects Understanding of prompt engineering and agent orchestration frameworks Interview process : Technical Round Technical Round Techno-Managerial Round ( Face to Face in company office ) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Lyzr Agent Studio is the only platform you need to create, deploy, and manage AI agents tailored for your business. Build smarter, faster, and scalable AI solutions in just a few clicks. 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!

Job Title: GenAI Engineer (Senior/Lead) Industry: AI/ML, Enterprise Applications, Healthcare (if applicable) Overall Experience: 8 to 10 Years Immediate joiners Chennai is preferred( Anywhere in India ) Role Summary: Person with good Python coding and Generative AI solutions We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Key Responsibilities: • AI Application Development: Build and maintain Python-based AI services using Lang Chain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. • LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). • Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. • API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. • Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement Lang Chain for AI workflow automation. • Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Tech Stack & Tools: • AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone • LLMs & APIs: OpenAI, LangChain, CrewAI • Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD • Security & Compliance: OAuth2, JWT, HIPAA Preferred Qualifications: • 8+ years of overall experience with a minimum of 4 years in AI/ML, LLM integrations, and enterprise cloud solutions. • Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. • Strong knowledge of scalable AI architectures and security best practices.

JD is below: Design, develop, and deploy generative AI based applications using AWS Bedrock. Proficiency in prompt engineering and RAG pipeline Experience in building Agentic Generative AI applications Fine-tune and optimize foundation models from AWS Bedrock for various use cases. Integrate generative AI capabilities into enterprise applications and workflows. Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions. Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions. Develop APIs and interfaces to enable seamless interaction with AI models. Monitor model performance, conduct A/B testing, and enhance AI-driven products. Ensure compliance with AI ethics, governance, and security best practices. Stay up-to-date with advancements in generative AI and AWS cloud technologies. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in AI/ML development, with a focus on generative AI. Hands-on experience with AWS Bedrock and foundation models. Proficiency in Python and ML frameworks. Experience with AWS services such as SageMaker, Lambda, API Gateway, DynamoDB, and S3. Experience with prompt engineering, model fine-tuning, and inference optimization. Familiarity with MLOps practices and CI/CD pipelines for AI deployment. Ability to work with large-scale datasets and optimize AI models for performance. Excellent problem-solving skills and ability to work in an agile environment. Preferred Qualifications: AWS Certified Machine Learning – Specialty or equivalent certification. Experience in LLMOps and model lifecycle management. Knowledge of multi-modal AI models (text, image, video generation). Hands-on experience with other cloud AI platforms (Google Vertex AI, Azure OpenAI). Strong understanding of ethical AI principles and bias mitigation techniques.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Work Location: Chennai Experience: 3+ Years Please share your updated profile to sugantha.krishnan@acldigital.com Role & responsibilities Good experience in design and develop custom applications on the ServiceNow platform & Strong understanding in ServiceNow module ITSM. Proficiency in JavaScript / React / PowerShell Good experience in GenAI (OpenAI, Azure OpenAI, Llama, Prompt Engineering, RAG, Azure Agentic AI, LLMs ML, LLM.)

Role & Responsibilities: Must have experience in scrutiny and approval for title search reports, revenue records and online verification of records of land owing agencies. Providing advice to business on an acceptance of title search report/ property for creation of mortgage/ security. Advising team regarding of stamp duty requirements on each of the documents as per legal policy/ circular. Ensuring quality of report/ valuations by doing random check monthly as a part of legal review. Approval of legal deviations by analysing the risk involved vis a vis business requirement. Highlight the Risk while acceptation of collateral security and creation of mortgage over the property. Co-ordination and interaction with the external Lawyers for investigation of the title of the property and discuss the issues of the title and remedies before creation of security for faster TAT as and when raised. Drafting and vetting of non-standard drafts including, declaration and undertakings, NOCs, Affidavits etc. relating to the mortgage for security creation etc. Customizing the requirements of all different states for legal documentation, institutionalization and make branches aware and follow the same. Giving feedback and raising risk alerts in Updating/ modification of legal policies/ Operating guidelines. Appraisal of Project Files, a comprehensive due diligence about the project i.e. appraisal of title along with licenses and litigation etc. Advising on Enforcement of Securities Interest and to help in the litigation matters by giving necessary instructions, documents, etc as may be required by external advocates/solicitors from time to time. Drafting and structuring of various lending arrangements with builders. Experience in drafting of replies of legal notices, criminal complaints & handling of service-related customer issues. Providing training to credit, OPS and sales team about nuances of mortgage legal. Maintaining MIS/ keeping records of all the cases including legal deviation approvals and list of empanelled advocates etc. Experience in handling retail litigations including RERA, Consumer and disputes contained in criminal complaints etc. Education: LL.B. / LL.M Desired Experience: Minimum 5 to 10 years in the field Location: Mumbai Mald / Vikhroli CTC: Upto 12.5 LPA Regards, Pushpa Koli State HR Manager Retail Finance, DSMG & Operations Mob: 8657416676 Email: pushpa.koli@tatacapital.com

About the Role: We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team. In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain. You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes. Key Responsibilities : - Develop and refine LLMs tailored for specific healthcare applications (e.g. , medical diagnosis, drug discovery, patient care). - Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training. - Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques. - Fine-tune pre-trained LLMs on specific healthcare tasks and datasets. - Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning. - Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks. - Conduct thorough model validation and testing to ensure accuracy, reliability, and safety. - Monitor model performance in production and identify areas for improvement. - Stay abreast of the latest advancements in LLM research and development. - Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning. - Conduct research and development on novel applications of LLMs in the healthcare domain. - Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders. - Clearly communicate complex technical concepts to both technical and non-technical audiences. - Present research findings and project updates to team members and stakeholders. Qualifications : Essential : - Master's or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning. - Proven experience in building and fine-tuning large language models. - Strong proficiency in Python and experience with deep learning frameworks (e.g. , TensorFlow, PyTorch). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development Should have hands on experience in Agentic AI Ability to diagnose accuracy drops in Retrieval-Augmented Generation (RAG) systems A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. Preferred candidate profile Immediate - 15days

Overview: We are seeking a highly versatile Solution Architect to lead the design of innovative, scalable solutions across both traditional software and AI-powered platforms. The ideal candidate will be adept at understanding business problems, architecting technical solutions from the ground up, and estimating the cost and time to build those solutions. Key Responsibilities: Translate complex business problems into technical architecture and implementation plans Design end-to-end solutions involving software components, cloud infrastructure, data flows, and AI/ML models where relevant Identify trade-offs between build vs. buy, scalability, and time-to-market Analyze existing systems/platforms and estimate the cost, timeline, and resources required to rebuild or modernize them Work with cross-functional teams to develop detailed project plans and technical documentation Build quick proof-of-concepts or minimum viable products (MVPs) to test assumptions Run feasibility checks for AI/ML-based ideas using tools like OpenAI, Hugging Face, LangChain, or custom models Evaluate and benchmark third-party APIs, platforms, or tools for integration Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, and AI/ML technologies Act as a technical advisor to product and business teams, guiding them on the feasibility and implications of ideas Work closely with product managers, data scientists, engineers, and business stakeholders to align requirements and technical direction Support engineering and product teams during build, helping resolve architectural or design issues Prerequisites: Proven track record of designing and delivering scalable software solutions end-to-end Strong experience with cloud architecture (AWS/GCP/Azure), microservices, APIs, and full-stack development Exposure to AI/ML technologies ideally including generative AI, NLP, or automation tools Hands-on ability to prototype solutions using Python, Node.js, or similar frameworks Deep understanding of system design principles, cost/performance optimization, and technical trade-offs Strong analytical and estimation skills ability to break down a platform and assess rebuild timelines and cost Exceptional communication and storytelling ability — can clearly articulate tech ideas to non-tech stakeholders Preferred Qualifications: Bachelor’s degree in technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred 7+ years of experience in software engineering, solution architecture, or technology consulting roles Experience working with LLMs, AI APIs (OpenAI, Claude, etc.), and orchestration tools like LangChain Prior experience in startups, innovation labs, or consulting firms a plus Exposure to DevOps, CI/CD, and infrastructure-as-code (e.g., Terraform) preferred Experience with vendor evaluations and RFP processes is a bonus

The Person Should be responsible for Land Due Diligence & registration process, drafting as per the departmental requirements, Applying and organizing documents for RERA Registration. , Drafting Petitions ,Replies summons ,Briefing to directors etc. Required Candidate profile Legal Manager good written & Communication skills can handle legal dept.Dealing with Lawyer & Solicitor,Marinating Legal Cases & follow ups,Drafting Petitions ,Replies summons ,Briefing to directors.

Role & responsibilities We are seeking a highly skilled and motivated Gen AI Lead with expertise in programming, problem-solving, and machine learning (ML) and artificial intelligence (AI) . The ideal candidate will have strong programming skills, with a particular focus on Python , and experience using key data manipulation libraries such as Pandas and NumPy . They should also have a solid background in machine learning, particularly in classification and retrieval tasks , as well as hands-on experience with large language models (LLMs) , including fine-tuning for specific use cases, retrieval-augmented generation (RAG) , foundation models APIs , and prompt engineering . Familiarity with Faiss for efficient nearest-neighbor search in retrieval tasks is highly desirable. A strong understanding of Natural Language Processing (NLP) is preferred, with experience in audio/voice manipulation tasks , specifically text-to-speech ( TTS ) and speech-to-text ( STT ). Familiarity with the Hugging Face Transformers and Datasets libraries is highly desirable. Proficiency in using tools such as Hydra for configuration management and Weights & Biases for tracking experiments is essential. In addition to technical expertise, the ideal candidate will have experience with Git and GitHub for version control and a proven ability to collaborate effectively in a team environment, particularly when working on shared codebases and remote projects. Strong data management and manipulation skills are crucial, as is experience working on remote servers to develop and deploy machine learning models . For More details please reach out Menaga-9019730400

Job Summary: The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, along with the ability to derive actionable insights from complex data sets. Responsibilities: Data Collection and Preprocessing: Acquire, clean, and preprocess data from various sources to ensure data quality and reliability. Work with big data technologies and tools for efficient data processing. Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand data patterns, trends, and anomalies. Identify relevant variables and features for further analysis. Statistical Modeling and Machine Learning: Develop and implement statistical models and machine learning algorithms to solve business problems. Perform predictive modeling, classification, clustering, and regression analysis as needed. Evaluate model performance and make improvements using techniques like cross-validation and hyperparameter tuning. Collaboration and Communication: Collaborate with cross-functional teams, including data engineers, business analysts, and software developers. Communicate technical concepts and results to non-technical stakeholders in a clear and understandable manner. Provide guidance and support to team members on data-related tasks and projects. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in data analysis, machine learning, and statistical modeling. Proficiency in programming languages such as Python, R, or SQL. Familiarity with GenAI and implementing LLM Familiarity with machine learning libraries/frameworks (e.g., TensorFlow, scikit-learn, PyTorch). Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure) is a plus. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration abilities. Ability to work independently and manage multiple projects simultaneously. Note: Job Location: Chennai, Bangalore, Pune, Coimbatore, Mumbai Work Mode: Hybrid ( 3 Days WFO and 2 Days WFH) Work Time: 2pm to 11pm ( UK Shift time) Notice Preferred: 0-30 Days

Must understand Gen AI models o Hands on with Python with basic ML libraries o Building NLP engine (pre-processing, modelling) o Understanding of Deep Learning frameworks for NLU, NLG & MLOps o Docker containerization, building CI/CD pipeline o Hands on with GCP Data Science tool for Building, Training, Deploying Models, especially Vertex Role & responsibilities Preferred candidate profile

Job title: Data Scientist/AI Engineer About Quantco: At Quantaco, we deliver state-of-the-art predictive financial data services for the Australian hospitality industry. We are the eighth-fastest growing company in Australia as judged by the countrys flagship financial newspaper, The Australian Financial Review. We are continuing our accelerating through hyper-automation. Our engineers are thought leaders in the business and provide significant input into the design and direction of our technology. Our engineering roles are not singular in their focus. You will develop new data models and predictive models, ensure pipelines are fully automated and run with bullet-proof reliability. We are a friendly and collaborative team. We work using a mature, design-first development process focused on delivering new features to enhance our customer's experience and improve their bottom line. You'll always be learning at Quantaco. About the role We are looking for a Data Scientist with strong software engineering capabilities to join our growing team. This is a key role in helping us unlock the power of data across our platform and deliver valuable insights to hospitality businesses. You will work on projects ranging from statistical modelling and anomaly detection to productionizing ML pipelines (ranged from time series forecasting to neural networks and custom LLMs), integrating with Django and Flask-based web applications, and building data products on Google Cloud using PostgreSQL and BigQuery, as well as ML routines in Databricks/VertexAI. This role is ideal for someone who thrives in a cross-functional environment, enjoys solving real-world problems with data, and can contribute to production-grade systems. Position Description Data Scientist Our culture and values Quantaco is a happy and diverse group of professionals who value a strong work ethic, authenticity, creativity, and flexibility. We work hard for each other and for our customers while having fun along the way. You can see what our team says about life at Quantaco here. If you've got a passion for creating new and impactful data-driven technology and want to realise your potential in a team that values your ideas, then we want to hear from you. Responsibilities of the role: Build and deploy data-driven solutions and machine learning models into production. Collaborate with engineers to integrate models into Django/Flask applications and APIs. Develop and maintain data pipelines using Python and SQL. Proactively seek to link analytical outputs to commercial outcomes Provide technical expertise for proof-of-concept (PoC) and minimum viable product (MVP) phases Clean, transform, and analyse large datasets to extract meaningful insights. Write clean, maintainable Python code and contribute to the platform’s architecture. Work with cloud-native tools (Google Cloud, BigQuery, Cloud Functions, etc.). Participate in sprint planning, stand-ups, and team ceremonies as part of an Agile team. Document MLOps processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility You’ll fit right in if you Have 3+ years of experience in a data-centric or backend software engineering role. Are proficient in production Python, including Django or Flask, and SQL (PostgreSQL preferred). Are curious, analytical, and love solving data problems end-to-end. You demonstrate a scientific and design-led approach to delivering effective data solutions Have experience with data modelling, feature engineering, and applying ML algorithms in real-world applications. Can develop scalable data pipelines and integrate them with cloud platforms (preferably Google Cloud). Communicate clearly and can collaborate across technical and non-technical teams. You are self-motivated and can work as an individual and in a team You love innovation and are always looking for ways to improve Have an MLOps experience (mainly, regarding time-series forecasting, LLM and text analysis, classification & clustering problems) Position Description – Data Scientist: It would be fantastic (but not essential) if you Hold a degree in data science, mathematics, statistics, or computer science. Have experience with BigQuery, VertexAI, DBT, Databricks, or Terraform. Are familiar with containerisation and serverless architecture (Docker/Kubernetes/GCP). Have worked with BI tools or data visualization frameworks (e.g. Looker, PowerBI). Have exposure to financial data systems or the hospitality industry. Preferred technical skill set: Google Cloud Platform (BigQuery, VertexAI, Cloud Run) Python (Django/Flask) Azure (MS SQL Server, Databricks) Postman (API development) DBT, Stored procedures ML (time-series forecasting, LLM, text analysis, classification) Tableau/Looker Studio/Power BI

Product Manager-AI for Security - J49049 Core Requirements 47 years of product management experience, with at least 2+ years in cybersecurity platforms (e.g., SIEM, SOAR, XDR, or TIP) Experience working with GenAI/LLM use cases in security contexts Strong communication and market-facing presence Deep understanding of: SOC operations and detection engineering Telemetry sources: PCAP, NetFlow, EDR logs, UEBA signals Adversary tactics (MITRE ATT&CK) and incident response flows Required Candidate profile Candidate Experience Should Be : 4 To 7 Candidate Degree Should Be : BE-Comp/IT,BEd

Python -GenAI and ML - J49048 Key Responsibilities End-to-End GenAI Development o Design and build GenAI applications using LLMs (e.g., LLaMA, Mistral, GPT-J, Falcon, Claude, etc.) o Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases like FAISS, ChromaDB, or Weaviate o Create and tune prompt templates, guardrails, and output parsers using tools like LangChain, Haystack, or LlamaIndex Agentic AI & Autonomy o Develop AI agents that use planning, memory, tools, and self-reflection (e.g., using AutoGen, CrewAI, or LangGraph) o Build task-oriented chains with autonomous behaviors for decision-making and workflow automation Model Training & Fine-Tuning o Perform SFT on open-source models using libraries like HuggingFace Transformers, PEFT, LoRA, or QLoRA o Evaluate model performance using GenAI metrics and frameworks (e.g., DeepEval, TruLens) ML System Integration o Use ML libraries like Scikit-learn, TensorFlow, PyTorch, and XGBoost to integrate traditional ML pipelines alongside GenAI components o Develop APIs and microservices (using FastAPI, Flask) to expose GenAI/ML services Security, Observability & Control Required Candidate profile Candidate Experience Should Be : 1 To 3 Candidate Degree Should Be : BE-Comp/IT

AI/ML Engineer Work on cutting-edge technologies like Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs) Assist in building intelligent systems for real-world applications Collaborate with data scientists and product teams on end-to-end ML workflows Cloud DevOps Engineer Get hands-on with AWS, Azure, or GCP cloud platforms Automate infrastructure, CI/CD pipelines, monitoring, and deployments Learn Infrastructure as Code (IaC) using tools like Terraform or Cloud Formation Software Engineer (Backend/Frontend) Build scalable applications using Python, Node.js for backend and React.js for frontend Contribute to the full-stack development lifecycle Participate in design, coding, testing, and debugging of software components MLOps Engineer Automate and scale ML workflows from development to production Work with tools like MLflow, Kubeflow, Docker, Kubernetes Ensure reproducibility, monitoring, and performance of ML models in production Data Engineer Develop robust ETL pipelines, data ingestion, and transformation logic Work with databases, data warehouses, and data lakes Handle real-time and batch data workflows using tools like Apache Airflow, Spark, Kafka Eligibility : BE/B.Tech/MCA/MSc 2023 or 2024 pass outs

Responsibilities Develop Gen AI POC and solutions for industry verticals. Discuss solution requirements with solution architects and customer interface where necessary Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency. Recommend appropriate technologies and libraries to be used in the client-side stack Staying abreast of the latest developments in technology and industry best practices and identifying where they can be incorporated Qualifications Bachelors degree or above in Computer Science, Software Engineering or Mathematics Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Experience with LLMs Understanding of good design principles and patterns Solid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and problem-solving skills. Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Self-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly. Hands-on of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools. Strong in Object Oriented Programming Concepts. Good in debugging and analytical skills.

Our Client is Big Legal Company dealing in Real Estate Agreement, Title clearance etc Designation - Advocate / Legal Manager For any Query, call 8000044060 or email your cv to ranjan@highriseconsultancy.com Required Candidate profile Only those candidate, who have experience of dealing in Real Estate legal matter viz Drafting of Sale and Purchase agreements related to Real Estate, can only apply.

3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks Strong understanding of ML algorithms, probability and optimization techniques 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning Ability to write scalable, production-ready ML code and optimized model inference Experience with developing ML pipelines for text classification, summarization and chat agents Prior experience with SQL and noSQL databases, and Snowflake/Databricks

Position: Architect AI & ML Experience- 8+ Years Job Location- Pune We are seeking a dynamic and experienced leader to drive the growth of our AI practice with a focus on Generative AI, advanced NLP solutions, and Large Language Models (LLMs). This role is ideal for a seasoned professional who combines technical expertise with exceptional leadership skills, customer-facing experience, and a vision for scaling teams and capabilities. Skills & Qualifications Technical Expertise: Extensive experience with NLP techniques and multi-class/multi-label text classification. Hands-on experience fine-tuning private LLMs (e.g., LLaMA, Gemma). Proficiency in PyTorch, Hugging Face, LangChain, Haystack, and related frameworks. Strong knowledge of model orchestration tools like MLFlow or KubeFlow. Familiarity with RAG techniques and vector stores (e.g., Pinecone, ChromaDB). Strategic Mindset: Visionary thinking with the ability to translate emerging AI trends into actionable business strategies. Good to have: Experience with multi-modal AI models (e.g., image-text, text-audio models). Expertise in Databricks for scalable model development and deployment. Knowledge of Explainability AI tools (e.g., Captum) for interpretable models. Key Responsibilities Leadership & Growth: Lead, mentor, and grow a high-performing AI team, fostering innovation and collaboration. Develop and execute strategies to expand the practice and deliver measurable business value to clients. Customer Engagement: Serve as a confident and articulate interface with clients, ensuring clear communication of AI strategies, solutions, and outcomes. Build trusted partnerships with clients, understanding their needs and aligning solutions to their goals. AI Solution Development: Design and implement state-of-the-art NLP solutions, focusing on multi-class and multi-label text classification. Fine-tune and deploy private LLMs (e.g., LLaMA, Gemma) for tailored business applications. Develop Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases like Pinecone or ChromaDB for high-performance solutions. Operational Excellence: Oversee end-to-end model lifecycle management, including training, deployment, and monitoring. Integrate explainability into AI models, ensuring transparency and trust in decision-making. Collaborate with external LLM providers (e.g., OpenAI, Claude) to enhance and integrate AI capabilities. Leadership & Communication: Proven ability to lead and inspire teams, with a track record of scaling AI practices. Exceptional communication and presentation skills, capable of engaging diverse stakeholders confidently. Additional Skills Experience with multi-modal AI models (e.g., image-text, text-audio models). Expertise in Databricks for scalable model development and deployment. Knowledge of Explainability AI tools (e.g., Captum) for interpretable models.