409 Llm Jobs - Page 11

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.

We are seeking a Principal Machine Learning Engineer with deep expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and advanced deep learning techniques. This role demands a visionary leader who can architect, scale, and deliver large-scale machine learning systems with a focus on business outcomes, high reliability, and cutting-edge innovation. You will lead the strategic development of ML systems, optimizing for both performance and business impact, while architecting large-scale, production-grade AI solutions. Key Responsibilities: End-to-End LLM System Architecture: Design and lead the development of advanced LLM-based systems, using models such as LLaMA, Mistral, and Azure OpenAI. Architect these solutions to support business objectives at scale, focusing on optimizing performance, resource utilization, and reliability across diverse environments. Scaling AI Solutions: Lead efforts to scale machine learning solutions across enterprise-wide applications. Establish methodologies to manage increasingly complex data pipelines, model lifecycle management, and deployable architectures, ensuring fault tolerance and minimal downtime. High-Impact ML Deployment: Drive large-scale deployment of LLMs and other ML models in cloud and hybrid environments (AWS, GCP, Azure). Build highly scalable, secure, and reliable AI infrastructure, ensuring systems meet stringent SLAs and production quality standards. Deep Learning System Optimization: Architect and optimize deep learning systems, enhancing performance using techniques such as distributed training, model pruning, quantization, and hyperparameter tuning. Drive the development of tools and frameworks that improve deployment speed and system efficiency. Business Alignment: Lead the alignment of ML solutions with business strategies, focusing on maximizing ROI from AI investments. Translate business problems into technical solutions, ensuring that AI systems deliver measurable value. AI Innovation Leadership: Spearhead the exploration of new ML models, techniques, and platforms, driving the next generation of AI applications. Lead advanced research in multimodal LLMs, self-supervised learning, and model interpretability to create cutting-edge business solutions. Cross-Functional Leadership & Collaboration: Mentor and guide AI engineers and machine learning scientists, fostering a culture of collaboration and technical excellence. Build strong relationships with product teams, data engineering, and operations to deliver seamless AI solutions across the enterprise. System Reliability and Optimization: Ensure high system availability by implementing monitoring, logging, and alerting strategies. Architect scalable and highly available systems capable of processing large volumes of data in real time. ML Governance and Compliance: Oversee the governance of AI systems, ensuring ethical deployment and compliance with data privacy regulations. Implement processes to ensure model auditability, explainability, and bias mitigation. Technical Expertise: Advanced NLP & LLMs: Deep expertise in building, fine-tuning, and deploying large language models such as the LLaMA and Mistral families, including advanced knowledge of techniques like reinforcement learning, model distillation, and transfer learning. Distributed Systems & Parallelization: Expert knowledge of distributed systems and parallelized model training, enabling large-scale deployment and training of models across multi-cloud infrastructures. Deep Learning Frameworks: Advanced experience with PyTorch, TensorFlow, and other ML libraries. Strong software engineering and system design skills, including proficiency with FastAPI, test-driven development (TDD), and CI/CD pipelines. Cloud and Infrastructure Expertise: Experience architecting fault-tolerant, distributed machine learning systems across multi-cloud platforms. Expertise in Kubernetes, Docker, and other containerization technologies for large-scale deployments. Must-Have Skills Excellent communication skills to articulate complex technical details to non-technical stakeholders. Excellent team player and ability to guide, nurture other members of the team In-depth understanding of architecting scalable and reliable solutions Willing to work from Office Nice to haves: Multimodal and Vision Models: Experience in deploying multimodal AI solutions that integrate text, images, video, and audio into cohesive applications for cross-domain problems. AI in Production: Proven track record of managing large-scale ML systems in production, optimizing for uptime, performance, and cost-efficiency across global infrastructures. Experience: 8+ years with a Bachelors degree, 6+ years (Master s), or 4+ years (PhD) preferably in Computer science/Data Engineering

AI/ML Engineer We are looking for versatile and experienced technical additions to our development team in Gandhinagar. The position offers an extensive amount of ownership and influence over our development process as we scale the team. We re looking for people who enjoy solving meaningful problems and love seeing the things they build in the hands of real users. Responsibilities: Design and develop architecture for ML models to be implemented in dockerized containers with CI & CD Develop the models for various use cases related to search, text classification and entity recognition Develop search engine for various use cases with automated pipeline of indexing Dataset processing for the training of the pre-trained models and for new models Come up with innovative ideas to improvise the product API development for all the model related functions like dataset preparation, training, deployment, retraining, etc. Expectations: Hands-on experience with Unix systems Hands-on experience with transformer-based models Working knowledge of Elastic search Experience working with generative models like LLM Has developed models for various use cases of search, text classification, and entity recognition Hands-on Experience with CI & CD frameworks like Jenkins. and working knowledge in Maven. Hands-on Experience in building docker images, docker deployments, private repository configuration, container configurations, container orchestration using Kubernetes or Docker Swarm Experience with unit testing frameworks and integration with CI technologies Expert in NLP, NER, and NLU Hands-on experience with BERT model Skilled in Fast API, Flask, Django, MariaDB, MongoDB Experience with various AI frameworks and tools like Pytorch, Spacy, Tensorflow, RasaNLU, SKLearn, etc Has used Naive-Bayes, KNN, CART, Linear Regression in various models. Working knowledge of Azure Cognitive Services like Azure OCR, Azure entity recognition, etc.

you a Full Stack Engineer passionate about AI, automation , and transforming the way businesses communicate? At InfotechLaunch.com , were on a mission to modernize and automate mundane tasks through smart AI Voice Agents and advanced full-stack applications. Were looking for builders and problem-solvers engineers who dont just code but innovate, optimize, and deliver with passion and precision. This is a full-time, fully remote position for someone who thrives in a fast-paced environment, enjoys direct interaction with clients, and is committed to delivering AI solutions that work every time. Your Role Architect AI Voice Systems Build intelligent AI Voice Agents using Retell , Vapi.ai , and integrate OpenAI GPT-4 , Google Vertex AI , and custom LLMs. Implement natural-sounding conversations , task automation, and real-time event handling. Full-Stack Development Develop scalable, secure, and performant applications with Node.js , Python , Flutter , and React . Build intuitive frontends and powerful backends that integrate seamlessly with AI. UI/UX expert with hands-on experience designing applications using Figma, Adobe XD, and Sketch. Prompt Engineering & LLM Integration Craft effective prompts, design agent logic, and fine-tune LLM-based workflows for real-world tasks. Cloud Infrastructure & DevOps Design and manage cloud infrastructure on AWS , GCP , or Azure , with CI/CD pipelines , Docker , and Kubernetes . Automate testing, deployment, and monitoring of production environments. API & CRM Integration with Make.com Create smart automation using Make.com , Cal.com , Zapier , and integrate with CRMs like HubSpot , Zoho , and Pipedrive . Confidently read and implement API docs, troubleshoot and optimize flows. Direct Client Collaboration Work closely with clients to build, test, and refine solutions. Gather feedback, improve models, and deliver impactful outcomes. What We Expect 89 hours/day of focused, committed remote work Excitement to work with real clients and improve real products A passion for clean code , clear communication , and continuous improvement Required Skills 5+ years of experience in Full Stack Development (Node.js, Python, Flutter, React/Next.js) 23 years working with AI APIs , LLMs , and conversational AI workflows Experience building AI Voice Agents using Retell, Vapi.ai, or similar Deep knowledge of Prompt Engineering and LLM optimization Proficiency in Flutter for mobile and React/Next.js for web Cloud DevOps: AWS/GCP/Azure, CI/CD pipelines, Docker/Kubernetes Strong background in Make.com , Zapier, Cal.com, and REST API integrations CRM Integration: HubSpot, Zoho, Pipedrive Strong debugging, version control (Git), and documentation skills Bonus Skills Voice tech: Whisper, Google Speech, ElevenLabs AI search: LangChain, Pinecone, Weaviate NLP tools: spaCy, HuggingFace Transformers Payment/Bookings: Stripe, Twilio, Firebase Auth What You Get Opportunity to innovate real-world AI workflows Work from anywhere , flexible yet committed Performance-based compensation after 1st month Direct access to clients, decision-makers, and leadership Be part of a fast-growing company using AI to change industries Mentorship and guidance to advance your career and technical depth How to Apply Send us your: Resume / LinkedIn GitHub / Portfolio Details on past AI Voice Agent, Make.com, LLM work Note on why youre excited to automate the future with us! If you align with our expectations and agree to the terms and conditions, please send a message on WhatsApp to +91 81097 31880 to discuss further. Skills : - AI Voice Agent, Full Stack Developer, Python, Node.js, Flutter, React, OpenAI, ChatGPT, Google Vertex AI, Conversational AI, Retell, Make.com, LLM, Prompt Engineering, Cloud Infrastructure, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Remote Work, AI Developer, API Integration, Digital Transformation, AI Applications, NLP, Speech Recognition, VOPI, AI Hiring, CRM Integrations

Key deliverables: Develop full-stack applications for investment management and trading/valuation support using React, Python (Flask, FastAPI), AWS, and LLM Write and maintain unit tests to ensure code quality Participate in daily scrum meetings with clients to align on deliverables Design and implement REST APIs and cloud-based services Role responsibilities: Collaborate with product and engineering teams to build scalable web applications Integrate LLM and Langchain technologies to enhance product capabilities Manage cloud deployment and DevOps activities for continuous integration and delivery Ensure code quality, documentation, and best development practices

Key deliverables: Develop full-stack applications for investment management and trading/valuation support using React, Python (Flask, FastAPI), AWS, and LLM Write and maintain unit tests to ensure code quality Participate in daily scrum meetings with clients to align on deliverables Design and implement REST APIs and cloud-based services Role responsibilities: Collaborate with product and engineering teams to build scalable web applications Integrate LLM and Langchain technologies to enhance product capabilities Manage cloud deployment and DevOps activities for continuous integration and delivery Ensure code quality, documentation, and best development practices

Key deliverables: Develop investment management and trading/valuation support applications using Python, React, SQL, FastAPI, AWS, and LLM Write and maintain unit tests to ensure code quality Participate in daily scrum meetings with clients to track progress and requirements Implement and maintain REST APIs and UI components Role responsibilities: Design and develop scalable full-stack solutions for financial applications Collaborate with cross-functional teams for cloud deployment and DevOps integration Utilize LLM and Langchain technologies to enhance application capabilities Ensure adherence to best practices in coding, testing, and documentation

Key deliverables: Develop investment management and trading/valuation support applications using Python, React, SQL, FastAPI, AWS, and LLM Write and maintain unit tests to ensure code quality Participate in daily scrum meetings with clients to track progress and requirements Implement and maintain REST APIs and UI components Role responsibilities: Design and develop scalable full-stack solutions for financial applications Collaborate with cross-functional teams for cloud deployment and DevOps integration Utilize LLM and Langchain technologies to enhance application capabilities Ensure adherence to best practices in coding, testing, and documentation

Key deliverables: Develop investment management and trading/valuation support applications using Python, React, SQL, FastAPI, AWS, and LLM Write and maintain unit tests to ensure code quality Participate in daily scrum meetings with clients to track progress and requirements Implement and maintain REST APIs and UI components Role responsibilities: Design and develop scalable full-stack solutions for financial applications Collaborate with cross-functional teams for cloud deployment and DevOps integration Utilize LLM and Langchain technologies to enhance application capabilities Ensure adherence to best practices in coding, testing, and documentation

Position Overview We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team. Core Responsibilities Strategic Leadership Develop and execute our organization's vision and strategy for generative AI and LLM applications Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions Identify high-impact business opportunities where LLMs can deliver significant value Establish roadmaps for AI implementation hat align with broader organizational goals Stay at the forefront of rapidly evolving LLM technologies and industry developments Technical Direction Oversee the design, development, and optimization of LLM-based applications Guide the selection, customization, and fine-tuning of language models for specific use cases Establish architecture and frameworks for integrating LLMs into existing products and services Implement best practices for prompt engineering, context handling, and model evaluation Ensure AI solutions balance performance, cost-efficiency, and ethical considerations Team Management Build and mentor a talented team of AI specialists with expertise in generative models Create a collaborative environment that fosters innovation and knowledge sharing Set clear objectives and performance expectations for team members Recruit, develop, and retain top AI talent in a competitive market Promote continuous learning and professional growth within the team Cross-Functional Collaboration Partner with business leaders to translate organizational needs into AI solutions Collaborate with product, engineering, and design teams to integrate AI capabilities Communicate complex AI concepts effectively to various stakeholders Work with legal and compliance teams to ensure responsible AI deployment Drive AI literacy and adoption across the organization Experience 10+ years of experience in artificial intelligence or machine learning 5+ years of hands-on experience with LLMs and generative AI technologies 5+ years in leadership roles managing technical teams Proven track record of successfully implementing AI solutions in production environments Experience with LLM fine-tuning, prompt engineering, and AI application development Technical Skills Deep understanding of LLM architectures, capabilities, and limitations Expertise in natural language processing and generative AI techniques Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face) Experience with MLOps and AI deployment infrastructures Knowledge of responsible AI practices, including bias mitigation and ethical AI use Education Qualification Master's degree or PhD in Computer Science, AI, Machine Learning, or related field Relevant certifications in AI, machine learning, or cloud technologies are a plus Leadership & Professional Skills Strong strategic thinking and business acumen Excellent communication and stakeholder management abilities Team leadership and mentoring capabilities Problem-solving mindset and ability to drive innovation Project management skills and experience with agile methodologies

Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices Role Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail. Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field