25 Fine Tuning Jobs

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.

Role Overview We're looking for a passionate and experienced AIML Engineering Lead to join our Pune team and spearhead the development of production-grade LLM-based agentic platform. In this role, you'll be instrumental in designing scalable infrastructure for our LLM systems and developing robust frameworks for prompt management. As a key team member, you'll have significant influence on our system architecture and technical direction. Job Location The position will be in-person in Pune, India. Key Responsibilities Architect and implement production-grade LLMOps pipelines Develop and maintain prompt engineering and evaluation systems Establish comprehensive monitoring and observability for ML system performance Drive continuous improvement in prompt accuracy using quantitative and qualitative feedback Lead system architecture decisions and guide technical strategy Implement efficient data processing and integration solutions Ensure code quality through rigorous testing, code reviews, and LLM best practices Required Qualifications B.Tech/B.E. in Computer Science, IT, or related field from a reputed institute 5+ years of software development experience, with 2+ years in MLOps/LLMOps Proven experience implementing CI/CD, MLOps, or LLMOps pipelines Production-level expertise with Azure Cloud, AI, ML, and Data Pipeline services Strong proficiency in Python and experience with FastAPI Solid understanding of ML algorithms and solutions Excellent problem-solving skills and ability to work independently Strong communication skills in English Willingness to work U.S. East Coast hours Desired Skills Advanced degree in Data Science, Machine Learning, or Computer Science Experience in productionizing GenerativeAI systems Expertise in optimizing ML-based systems Familiarity with Bicep, Terraform, or related infrastructure automation tools Advanced proficiency in Azure and Python Why Join MarketEngine.ai? - Be part of a high-growth Silicon-Valley startup revolutionizing SMB marketing technology. - Collaborate with industry leaders in AI/ML and marketing experts. - Competitive salary package (Best in industry) - Flexible work arrangements and a dynamic, intellectually stimulating environment - Opportunity to shape the future of demand generation technology for startups and SMBs

As a GenAI Model Developer, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data in order to make predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Collaboration with software engineers to integrate Generative AI models into production systems will be a key aspect of your role. You should be able to evaluate application cases and the problem-solving potential of AI/ML algorithms, ranking them according to their likelihood of success. This will involve comprehending data through exploration and visualization, as well as identifying discrepancies in data distribution. Working with both structured and unstructured data, you will develop various algorithms based on statistical modeling procedures and build scalable machine learning solutions for production. Leveraging cloud platforms for training and deploying large-scale solutions, with a preference for AWS, will also be part of your responsibilities. You should have a working knowledge of managing the ModelOps framework and understand CI/CD processes for product deployment. Collaborating with data engineers to build data and model pipelines, ensuring accuracy, will be essential. You are expected to take complete ownership of assigned projects and have experience working in Agile environments. Proficiency in tools such as JIRA or equivalent project tracking tools is required to succeed in this role.,

About Company Process9 is Indias leading language technology company, poised for a major growth in the domestic and global geographies, to vie for a global leadership in the language technology space. Process9 is the next Unicorn candidate to watch out for. Language services is a $50 billion global industry, while the language market in India is growing by over 30% year-on-year. Process9 is bringing Multilingual Transformation to Enterprises, to make their Digital Transformation complete and scalable. More than 80% of Indian population is not English savvy whereas over 98% of Internet content in India is in English. The need for local language content in India is growing like wild fire. Process9 intends to meet the language needs of the industry and Govt to capture a large share of this unmet need. Being a B2B and SaaS based software company, we develop middleware application platforms for language localization of websites, mobile apps, enterprise applications, digital transaction journeys, digital documents and much more. We develop the best-in-class Natural Language Processing (NLP) software using AI/ML technologies for translation, language processing and voice applications for Indian and global languages that are used by hundreds of leading enterprises in India and now attracting global users on the Internet and Smartphones. Our goal is to connect with all digital users regardless of their native languages and make localization easy-to-use and commercially viable for e-businesses We were one of the finalists in the TOP35 INNOVATIONS at the CNN-IBN networked India campaign. For more information, please visit our website: https://process9.com/ Position: Sr. Data Scientist (Multilingual AI/ML) Location: Gurgaon, Haryana We are seeking an experienced Data Scientist to spearhead our multilingual AI/ML initiatives, focusing on natural language processing, speech technologies, and domain-specific model development. The ideal candidate will have extensive experience in training and fine-tuning transformer-based models, speech recognition/synthesis systems, and large language models for specialized applications. Job Responsibilities: Development of multilingual transformer models for machine translation (OpenNMT) and TTS/STT systems (Coqui TTS). Fine-tune Whisper models for speech to text Fine-tune LLMs for fintech/other domain. Build Agentic chatbots using LangChain/LlamaIndex. Design synthetic data pipelines and cross-lingual training strategies. Mentor team members and drive model deployment with engineering teams. Desired Profile: 4+ years experience in ML/NLP. Strong Python, PyTorch/TensorFlow, and Hugging Face expertise. Experience with MLOps, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure). Knowledge of data privacy and compliance requirements, especially in fintech contexts

As an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. To excel in this role, you must possess hands-on experience with LLMs and fine-tuning techniques. Your expertise in the specifics of vector database indexing will be highly beneficial. We are looking for someone with a robust background in advanced AI/ML techniques and database indexing, particularly in the context of production projects. Familiarity with technologies such as LoRA, QLoRA, RAG, and PEFT is desirable. Additionally, your knowledge of model evaluation, optimization, and GPU training will be crucial for success in this position.,

We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges. Job Title: Data Scientist Location: Bengaluru, Gurugram, Mumbai, Coimbatore 2+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models. Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E). Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS). Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks. Strong programming skills in python and familiarity With relevant libraries and frameworks. Proven experience in document detail extraction and feature engineering. Proficiency in data processing and manipulation techniques. Hands-on experience in building data applications using Streamlit or similar tools. Advanced knowledge in prompt engineering, chain of thought processes, and Al agents. Excellent problem-solving skills and the ability to work effectively in a collaborative environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Job Title: Senior AI/ML Engineer Custom LLM & RAG Implementation Location: On-site Experience: 7+ years Industry: Cross-Domain (Finance, Healthcare, Logistics, Retail, LegalTech, etc.) About the Role We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs) . The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models , and solving complex problems across domains using applied machine learning and natural language processing. This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability. Key Responsibilities LLM Development & Deployment Design, build, and deploy customized LLM pipelines tailored to enterprise use cases. Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring. RAG & Fine-Tuning Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack). Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA. Solution Engineering Translate business problems into ML/LLM solutions with clear problem framing and data strategy . Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions. Cross-Functional AI Applications Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP. Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate. Leadership & Mentorship Mentor junior engineers and contribute to AI/ML best practices . Act as a thought partner in innovation and experimentation within the team and with external stakeholders. Required Skills & Qualifications Bachelors or Master’s in Computer Science, AI/ML, Data Science, or related field. 5+ years of hands-on experience in ML/NLP , with a recent focus on LLMs and foundation models. Deep knowledge of Hugging Face ecosystem , PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries. Experience deploying ML models to production using FastAPI, Docker, Kubernetes , or cloud-native tools (AWS/GCP/Azure). Familiarity with vector databases , embeddings, and search frameworks. Strong understanding of model evaluation metrics , bias/fairness in ML, and responsible AI practices. Ability to work cross-functionally with business, legal, and engineering teams. Preferred Qualifications Experience with RLHF (Reinforcement Learning from Human Feedback) . Published work in open-source communities or AI research conferences. Familiarity with multi-modal AI , autoML , or agentic workflows is a plus. Prior work in regulated domains (e.g., finance, healthcare, legal). Why Join Us Work on cutting-edge AI/LLM use cases that span industries and functions. Lead mission-critical AI initiatives from ideation to deployment. Be part of a collaborative, innovation-driven team shaping the next generation of enterprise AI solutions.

Mirafra Technologies is Hiring #GenAIEngineer (#RAG, #LLM, #FineTuning) Are you passionate about Generative AI and cutting-edge technologies? Join We're looking for Gen AI Engineers with 3 to 5 years of experience in: Walk-In Date: Thursday, 3rd July 2025 Time: 11:00 AM 1:00 PM Job Location - #Bangalore and #Hyderabad Venue: Mirafra Technologies 2nd Floor, Akshay Tech Park, Plot No. 72 & 73, Vijayanagar, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066 Contact Person: Vignesh D Requirements: 3 to 5yrs Strong experience with Gen AI frameworks Hands-on with LLM architecture and deployment Familiarity with RAG pipelines and fine-tuning techniques Solid programming skills in Python

About the Role We are looking for a highly skilled and motivated AI ML Engineer with a strong background in LLMs, RAG pipelines, MLOps, and Azure Cloud . The ideal candidate should have deep experience in building and fine-tuning LLMs, deploying ML systems at scale, and integrating AI capabilities into enterprise-grade applications. Key Responsibilities Design and implement RAG (Retrieval-Augmented Generation) pipelines and AI agentic systems using LLM frameworks. Fine-tune LLMs and develop narrow, domain-specific models using industry best practices. Collaborate with data scientists and product teams to deploy ML models in production environments. Build and maintain robust MLOps pipelines using MLFlow , ensuring reproducibility and traceability of experiments. Integrate and deploy solutions using Azure DevOps and related cloud services. Implement secure and scalable authentication flows using Azure AD and GraphAPI . Optimize performance of deployed models with a focus on latency, cost, and maintainability. Document and present architecture, experiment results, and production workflows. Required Skills & Experience Strong foundational knowledge in Computer Science, IT systems, and architecture . Proficient in Python , with solid experience in both Object-Oriented and Functional Programming paradigms . Practical experience with LLMs , including open-source models. Hands-on experience with RAG pipelines and AI agentic frameworks . Expertise in MLOps tooling , especially MLFlow , model versioning, and CI/CD for ML. Solid understanding of model deployment and serving using Docker, Kubernetes, FastAPI, etc. Proven experience working with Azure cloud , including: Azure DevOps for pipelines and release management. Azure GraphAPI for organizational data access. Authentication and security protocols . Good communication skills and ability to work in cross-functional teams.

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 2+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important We’re currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience — but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.

ideyaLabs is seeking a highly skilled and motivated DevOps Lead to drive our CI/CD pipelines, infrastructure automation, and cloud operations. The ideal candidate will lead a team of DevOps engineers and collaborate closely with development, QA, and IT teams to enhance our deployment processes, scalability, and system reliability. Key Responsibilities- Lead and mentor a team of DevOps engineers to deliver scalable and secure infrastructure. Design, build, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, etc. Architect and automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi. Manage and optimize cloud infrastructure (AWS/Azure/GCP) to ensure high availability and performance. Implement monitoring, logging, and alerting systems using tools like Prometheus, Grafana, ELK, Datadog, or New Relic. Champion DevSecOps practices and integrate security at every stage of the DevOps lifecycle. Collaborate with software development teams to ensure smooth deployments and fast recovery from incidents. Define and enforce SRE/DevOps best practices, SLAs, and disaster recovery procedures Continuously evaluate emerging tools and technologies to improve system efficiency and team productivity. Required Skills & Qualifications Bachelor's or Master's in Computer Science, Engineering, or related field. Proven experience leading DevOps/SRE/Platform teams. Strong expertise in cloud platforms (AWS, Azure, or GCP). Proficient with containerization and orchestration (Docker, Kubernetes, Helm). Hands-on experience with IaC and configuration management tools (Terraform, Ansible, Chef, Puppet). Excellent scripting skills (Python, Bash, or Go preferred). Familiarity with GitOps and modern release strategies (Blue/Green, Canary deployments) Deep understanding of network, system, and security principles. Having an understanding of PCI DSS and SOC 2 procedures. Strong communication and stakeholder management skills. Preferred Qualifications Certifications like AWS Certified DevOps Engineer, CKAD/CKA, Azure DevOps Expert. Experience with service mesh technologies (Istio, Linkerd).- Exposure to FinOps or cost optimization practices in the cloud

Role & responsibilities Develop and implement custom analytics rules within Microsoft Sentinel to identify security threats and anomalies. Leverage KQL and other tools to create custom detection on Microsoft Defender XDR MDE & MDCA. Create advanced detection rules based on business requirements & SOC Use Cases. Work with SIEM and SOAR solutions at scale. Collaborate with other security teams to identify and prioritize security requirements and develop effective solutions. Update the code (KQL) on analytical rule for finetuning the false positive incidents. Stay up to date with the latest security threats and trends and apply this knowledge to improve our security posture. Perform content enrichment depending on feedback received from security analysts. Have a strong understanding of Cloud Security and Networking Concepts and practices. Helps to create reports that properly present the key risk and performance indicators. Communicating & reporting concise summaries of complex scenarios & information across diverse and senior stakeholder groups. Design, maintain Content Management standard operating procedures (SOP), processes and guidelines. Report preparation for leads and management review with data from dashboards & reports. Preferred candidate profile Strong understanding of JSON, Kusto Query Language (KQL) and PowerShell languages. Experience analyzing data from cybersecurity monitoring tools such as SIEM / SOAR platforms, host and network logs, firewall and IPS/IDS logs and email security gateway. Strong understanding of security operations concepts: perimeter defense, endpoint management, data leak prevention, kill chain analysis and security metrics. Knowledge of the common attack vectors on various layers. Knowledge and experience working with the Cyber Kill Chain Model, MITER ATT&CK Matrix. Experience with Security Operations Center, SIEM management & solutions ownership. Knowledge of various security methodologies and technical security solutions. Conduct an audit of the platform configuration to optimize it. Optimizing the way logs are processed and leveraged by SOC team members. Knowledge on schemas of Microsoft Defender XDR solutions (Microsoft Entra ID and ID protection, Microsoft Defender for Endpoint, Microsoft Defender for Cloud apps, Microsoft Purview Information Protection) and Microsoft 365. Knowledge of schemas with security events logs from Microsoft windows server. Experience of working within a regulatory/controlled environment. Understanding of Cyber Security Risk and mitigation strategies.

Role & responsibilities Define and drive the technical vision and strategic roadmap for Data APIs and related platform capabilities. Work closely with product management and stakeholders to translate requirements into scalable solutions. Lead initiatives around AI/ML integration, ensuring alignment with business goals and technical feasibility. Champion best practices in API design, performance, security, and maintainability. Manage project timelines and deliverables, ensuring on-time and high-quality outcomes. Provide mentorship and technical guidance to developers across the team. Design, develop, and maintain RESTful APIs using Python with Flask or Django frameworks. Develop backend services that support data ingestion, geospatial analysis, and real-time data access. Write efficient, optimized SQL queries across PostgreSQL, MS SQL, and MySQL databases. Implement secure authentication and authorization mechanisms (SSO, OAuth2). Integrate and operationalize AI/ML models within backend systems. Troubleshoot and resolve complex issues in a production environment. Lead code reviews and enforce clean, scalable code practices. Provide hands-on mentorship and technical guidance to mid-level and junior developers. Contribute to and improve CI/CD pipelines and development workflows. Debug and resolve complex technical issues and guide the team in best practices. Preferred candidate profile 5+ years of professional experience in backend/API development with Python. 3+ years in a technical leadership or lead developer capacity. Strong experience with Flask, Django, or similar Python web frameworks. Solid expertise in RESTful API design, development, and maintenance. Knowledge in Large language models and integrating with in the application Fine tuning LLM models Understanding of Agentic AI and agent development Advanced SQL proficiency and experience working with PostgreSQL, MySQL, or MS SQL. Familiarity with Git, CI/CD pipelines, and collaborative development workflows. Understanding of SSO/OAuth protocols and security best practices in web applications. Experience in defining and delivering a technical roadmap and working in Agile/Scrum teams. Proven ability to lead teams, mentor developers, and manage priorities in a cross-functional environment. Excellent communication skills and ability to work across technical and non-technical teams. Good to Have: Hands-on experience with AI/ML integration in applications or data pipelines. Familiarity with PySpark, SparkSQL, and platforms like Databricks. Knowledge of the Data Analytics and geospatial domains. Exposure to Linux administration and DevOps tools. Understanding of ReactJS or similar frontend libraries (for full-stack awareness). Passion for innovation and continuous learning.

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Role & responsibilities Design and implement LLM architectures (e.g., transformer variants) Pretrain and fine-tune models on large-scale datasets Apply techniques like LoRA, PEFT, DPO, or RLHF to improve model alignment Optimize training using frameworks. Evaluate models Collaborate with data and product teams to align model capabilities with use cases Key skills: Python, AI, LLM, Pytorch, SQL, NLP Preferred candidate profile Perks and benefits

We're seeking an experienced AI/ML Engineer who thrives on curiosity and innovation to join our dynamic engineering team. This role offers an exciting chance to tackle impactful real-world machine learning challenges and play a key part in developing advanced, state-of-the-art AI solutions. Role & responsibilities Architect, train, fine-tune, and distill LLMs and deep-learning models for NLP, generative AI, and agentic AI applications. Assist in designing, developing, and training machine learning models using structured and unstructured data Conduct thorough testing, evaluation, benchmarking, and validation to ensure performance and robustness Deploy models into production using MLOps pipelines (CI/CD, versioning, monitoring) Optimize models and inference pipelines for latency, throughput, and compute efficiency Mentor junior engineers and collaborate cross-functionally with data engineers, DevOps, product managers Curate, cleanse, and transform extensive datasets to prepare them for robust model development. Conduct insightful exploratory data analysis and apply advanced statistical modeling techniques. Execute systematic experiments, optimize hyperparameters, and rigorously assess models using established performance metrics. Maintain comprehensive documentation detailing model architectures, data pipelines, and experimental outcomes. Develop and integrate AI-enhanced tools including web-search functionalities, intelligent image editing, and related applications. Support in integrating AI/ML models into production environments Skill Sets We Require- Frameworks: PyTorch (latest, including TorchDynamo), TensorFlow 2.x Finetuning & Distillation: Implement teacherstudent training, supervised finetuning, responsebased distillation and Transorfermers. Model Lifecycle Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy. Understanding of probability, statistics, and linear algebra APIs & Storage: RESTful APIs, ONNX, SQL/NoSQL databases, S3 Buckets. CI/CD: Git, GitHub Actions, Docker Registry, automated testing & deployment (Good to have) Required Qualifications- Btech/BE in Computer Science or Equivalent Field 4+ years of hands-on experience in training, tuning, and deploying LLMs and deep-learning models. Proficient with PyTorch, Transformer frameworks

We are seeking AI/ML engineers to develop, deploy, and optimize advanced AI models. You'll work with cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to build scalable AI solutions. Job Description: Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. Proficiency in fine-tuning and deploying pre-trained models for various NLP tasks. Strong knowledge of LangChain for building and managing LLM pipelines. Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. Solid understanding of Prompt Engineering to optimize model performance. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience deploying ML models using ONNX for scalable and efficient inference. Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Job Details: CTC: Best in the industry Role: Software Engineer Functional Area: Development Industry: IT/Software Services

First Due is a leading technology company dedicated to empowering first responders with innovative software solutions that enhance their effectiveness and safety. We provide critical tools for incident management, pre-planning, community risk reduction, and more. We are committed to leveraging cutting-edge technologies, including Artificial Intelligence, to further revolutionize public safety and support the vital work of firefighters, EMS professionals, and law enforcement. We are actively developing and integrating AI features to provide actionable insights, improve decision-making, and ultimately save lives. We are seeking a highly skilled in GenAI, LLM, NLP, etc. and motivated Lead AI Engineer to spearhead the development and integration of impactful AI features into our suite of products for first responders. This is an exciting opportunity to shape the future of technology for first responders and grow with a mission-driven company. More @ https://www.naukri.com/first-due-overview-8479419 or https://www.firstdue.com/ Responsibilities : Lead the design, development, and implementation of AI Solutions, AI/ML models and algorithms, leveraging Large Language Models (LLMs) and fine-tuning techniques Collaborate with cross-functional teams to integrate AI solutions into our products. Stay abreast of the latest advancements in AI/ML, LLMs, and related technologies Champion and enforce high standards for code quality, testing, and documentation within the AI team Identify and address performance bottlenecks in AI models and infrastructure to ensure efficient and scalable solutions suitable for time-sensitive operational environments. Requirements : Bachelors degree in computer science or engineering, or a related field. 8+ years of experience in AI/ML development with a strong applied track record. Proficiency in Python and major ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Proven experience with GenAI / LLMs, prompt engineering, vector databases , etc. experience with prompt engineering , RAG , and fine tuning . Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Solid understanding of machine learning algorithms, statistical modeling, and evaluation metrics. Experience postproduction support to AI products / applications is a must. Excellent problem-solving and analytical skills. Ability to communicate complex ideas clearly and effectively. Desired Traits : Prior experience in a lead or senior role mentoring other developers. Creativity and innovative thinking. Attention to detail and precision. Strong communication and teamwork abilities. Work mode & Timings : Remote, US time zone, EST, 9 am to 6 pm

5-6 years of hands-on experience with IBM QRadar admin Fine tuning Strong understanding of SIEM, network security, and log management. troubleshooting QRadar issues, DSM management, and offense tuning Basic scripting knowledge (e.g., Python, Shell)

Your key responsibilities Administration and management support of CrowdStrike Next-Gen SIEM/EDR Perform as the subject matter expert on any of the above solutions for the customer, use the capabilities of the solution in the daily operational work for the end customer. Advise customers on best practices and use cases on how to use this solution to achieve customer end state requirements. Content development (Use case development) which includes developing process for automated security event monitoring and alerting along with corresponding event response plans for systems Skills and attributes for success Customer Service oriented - Meets commitments to customers; Seeks feedback from customers to identify improvement opportunities. Experience in managing and administering security solution CrowdStrike Next-Gen SIEM/EDR Hands-on expertise in Security use case development and log source integration Good knowledge of SIEM technologies such as Splunk, Azure Sentinel from a Security Analysts point of view Exposure to IOT/OT monitoring (Claroty, Nozomi Networks etc.) is a plus Good knowledge and experience in Security Monitoring Good knowledge and experience in Cyber Incident Response Knowledge in ELK Stack Knowledge in Network monitoring technology platforms such as Fidelis XPS or others Knowledge in endpoint protection tools, techniques, and platforms such as Carbon Black, Tanium, CrowdStrike, Defender ATP or others To qualify for the role, you must have B. Tech./ B.E. with sound technical skills Strong command on verbal and written English language. Demonstrate both technical acumen and critical thinking abilities. Strong interpersonal and presentation skills. Minimum 4 years of Hands-on experience of operating/implementing the above security tools. Certification in any of the SIEM platforms is a plus Knowledge of RegEx, Perl scripting and SQL query language. Certification - CCSA, CEH, CISSP, GCIH, GIAC.

Role & responsibilities Understands SIEM tools (Sentinel ) functionality and logic behind creating rules and filters, integrating with different solution based on client security policy and requirements e.g. AV software, IDS, IPS etc... Good TCP /IP concepts Good understanding on Vulnerability Management tools such Nessus, Qualys Guard Diagnosing and resolving issues and problems with the clients information technology systems involving several processes. Act as a point of escalation for L1Team Members Develop/Fine Tune Use Cases Monitor logs and security events across network infrastructure. Log, monitor, investigate, and report on access violations. Provide log analysis to provide views of misuse, fraudulent or malicious activities. Provide updates as the incident progresses through the incident response process as requested by client. Support security incident response processes in the event of a security breach by providing logging and audit information and by providing incident reporting. Coordinate with client Information Security and Capgemini activities required to respond to security incident notifications received from Capgemini. Implement and manage a security incident management process according to the Security Policy. Maintain a security corrective action tracking methodology. Coordinate notification of security incident occurrence with client. Provide periodic trending problem reports. Create and maintain a Security Incident log that is also provided to client Information Security to facilitate historical analysis. Assist investigators of security incidents involving the client Sites and other locations, document findings, and coordinate resolution. Investigating causes, analyzing and diagnosing the problem and repairing or providing detailed alternative solutions Technical Experience: - 1: Experience in SIEM tools, Strong working experience in SIEM ES 2: Team management Incident handling skills, use case management, risk assessment 3: SOC operations for very large enterprises 4: Security Analytics skills is added advantage 5: Should have excellent customer handling skills Professional Attributes: 1: Good verbal communication skills to connect with customers at varying Levels of the organization methods 2: Ability to operate independently and make decisions with little or no supervision. Educational Qualification: Bachelor or college degree in related field or equivalent work experience

As a Senior / Lead 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 decisionmaking, 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. Role & responsibilities 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.

Role & responsibilities Review Level1 Analysts Work - False positive analysis and input for rule fine tuning. Should be able to remediate incidents end to end when there is a need, work closely with Respective Customer team. Prepare monthly shift roster. Provide recommendation for existing rule changes and make necessary changes. Ensure cases are handled within defined TAT and escalate as needed. Perform daily alert review. Daily Reporting and Dashboards. Use-case creation Preferred candidate profile Candidate should ready to join within 30 days Minimum 2+ years of experience working into SIEM tool - IBM Qradar Hands on experience working in use cases creation and fine tunning

Job Title: AI/ML Engineer Location: Gurugram, Haryana Employment Type: Full-Time Experience Required: 36 Years Objective of the Role: We are seeking a highly skilled AI/ML Enginee r who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python and Django , with additional exposure to machine learning , generative AI frameworks , and modern deep learning architectures . This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Key Responsibilities: 36 years of hands-on experience in Python. Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework. Work with third-party APIs and external services to ensure smooth data integration. Optimize application performance and implement robust security practices. Design scalable and efficient data models; work with relational and NoSQL databases. Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions. Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions. Integrate and deploy ML models and AI features in production environments (a strong plus). Write clean, modular, and testable code following best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills and Qualifications: Strong proficiency in Python and Django framework. Experience with PostgreSQL , MongoDB , or MySQL . Familiarity with Docker , Gunicorn , Nginx , and CI/CD pipelines. Experience with machine learning and deep learning concepts. Exposure to Generative AI , Transformers , Agentic Frameworks , and Fine-Tuning techniques . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Ability to translate ML/AI solutions into production-ready APIs or services. Strong problem-solving and debugging skills. Nice to Have: Knowledge of FastAPI or Flask. Experience deploying models via TorchServe or ONNX. Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If you're passionate about backend development and excited to work at the intersection of software engineering and AI innovation , we’d love to hear from you.

Looking for a highly skilled GenAI Scientist with a strong expertise in the field of LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, hands-on approach to research, development, and implementation of cutting-edge AI solutions.