16 Fine Tuning Jobs

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

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

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.

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: AI Engineer Python. Location: Bangalore, India Onsite Job Summary: We are seeking an experienced AI Engineer with expertise in Python programming to design, develop, and deploy custom artificial intelligence (AI) applications on bare metal and privately deployed cloud platforms such as Red Hat OpenShift AI and VMware Cloud Foundation Private AI using NVIDIA Enterprise AI. The ideal candidate will have a strong background in Python software development, AI/ML frameworks, and model fine-tuning. Key Responsibilities: 1. AI Application Development & Deployment Design, develop, and deploy AI applications on bare metal and private cloud platforms (Red Hat OpenShift AI, VMware Cloud Foundation Private AI with NVIDIA Enterprise AI). Build scalable and high-performance AI solutions using Python. 2. Python Programming & Optimization Leverage advanced Python capabilities for AI applications, including: Optimized numerical computations (NumPy, SciPy) Concurrency and parallelism (multiprocessing, joblib) Advanced data structures and algorithms. 3. AI/ML Frameworks & Model Fine-Tuning Apply expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Develop and fine-tune AI models using techniques such as transfer learning and hyperparameter tuning. 4. Generative AI & LLMs Work with open-source LLMs and frameworks like LangChain, LangGraph, and Agentic flows. 5. Custom Model Development Design and implement custom AI models from scratch using Python and popular AI/ML frameworks. 6. System Integration & API Development Integrate AI applications with existing systems, data sources, and APIs for seamless functionality. 7. Testing, Validation & Optimization Develop and execute testing strategies to ensure the quality, reliability, and performance of AI applications. 8. Documentation & Communication Create comprehensive technical documentation. Communicate project progress, results, and recommendations to stakeholders. Technical Skills: Strong proficiency in Python. AI/ML frameworks: TensorFlow, PyTorch, Scikit-Learn, NLP, Machine Learning, Deep Learning, Langchain, LangGraph, RAG, Fine-Tuning. Data science libraries: NumPy, SciPy, Pandas.

Role & responsibilities Develop BAAN/LN Customizations & Enhancements Understand Business Requirements, Translate to Technical design, and help realize the code Develop Reports Communicate technical issues, key insights and findings to the team Constantly be on the lookout for ways to add better value to the Customer Proven experience as INFOR LN Developer/Technical Consultant Versions LN FP 7, 10.4 and 10.7 Expertise with SQL queries, fine tuning performance Expertise in report design 2 to 5 years of experience as INFOR LN developer BE/ BTech and MCA preferred Location – Mumbai/ Pune Preferred candidate profile Working knowledge of functional modules of BAAN including Sales, Service, Purchasing, Warehousing etc.

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.

Total AI Systems, Inc., headquartered in Lansing, Michigan, specializes in developing commercial software solutions that utilize advanced artificial intelligence to improve business efficiency. We are a profitable, product-based company with offices in the United States, India, and Canada. Our team is made up of rockstars who know that delivering a rockstar performance for our customers means going above and beyond. Whether its early mornings, late nights, or continuous practice and refinement, we are dedicated to providing our very best and having a lot of fun along the way. We take care of our employees, and in turn, they take care of us. We're seeking individuals who are ready to go the extra mile and join us on this journey! We are currently seeking AL/ML Engineers to join our dynamic team. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. Your role will involve everything from data analysis and model building to integration and deployment, ensuring our AI initiatives drive substantial business impact. The following are some of the responsibilities for this position: Develop end-to-end AI/ML solutions with a strong focus on GenAI, NLP and predictive analytics. Identifying problems in the current product and working in tandem with AI and backend engineers or the implementation of the solutions to these problems and train/optimize/validate models for all the identified ML/AI/NLP/CV/GenAI problems. Experience delivering and maintaining productionized end-to-end Machine Learning solutions, form data preparation, experimentation, model training, model serving and model update. Design, train, and deploy ML models to production environments. Collaborate with developers, designers and product managers to build scalable and effective solutions. Write clean, maintainable and efficient code in Python and Node.js. Work with various databases (SQL, NoSQL, RDB, etc.) and ensure data integrity. Design and develop backend logic to support ML applications. Leverage cloud platforms (preferably AWS) for deploying and managing AI solutions. Use Docker to containerize applications for streamlined deployment. Continuously explore and integrate new ML tools, frameworks and best practices. This is an exciting position with a growing company and offers a lot of upsides. This is a challenging position that requires dedication and determination. Some requirements of the position include: 1-3 years of experience in machine learning engineering or AI, preferably in a SaaS environment. Hands on experience in NLP and generative AI models, with a solid foundation in Python, node js and exposure in model fine-tuning and training. Experience working in a small, product-based company with a hands-on approach. Proven track record of building and delivering software products in a small team environment. Solid understanding of databases (SQL, NoSQL, Relational Database, Low-code, No-code) and data modeling. Experience deploying ML models and services in production environments. Should have experience with NLP, GenAI technologies and cloud platforms (AWS preferred). Working knowledge of Docker for application deployment. Strong software engineering skills with an interest in end-to-end development. Passion for learning and exploring new technologies. Good to have familiarity with PHP.

Develop and optimize AI models for business-specific use cases. Perform data analysis, feature engineering, and model training. Implement and fine-tune NLP and machine learning algorithms. Evaluate model performance and ensure continuous improvements. Work with engineers to deploy models in production environments.