2251 Deep Learning Jobs - Page 23

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.

Work shift Timings 11 AM to 8 PM Notes : Overall 10-14 yrs. of exp + Full time Undergraduation Must have Strong experience in Data Science for atleast 6+ yrs. Hands on experience in Machine learning & Deep learning Should have worked in LLM, RAG, SFT, CPT Models Should have exp in Cloud based tools for Machine learning Operations (Deployment) Azure Databricks, AWS Sagemaker Should have exp in Frameworks like Flask, Fast API Team management is compulsory Job Title: Manager - Government and Public Services Enabling Areas (GPS EA). The Team: GPS GSi The Role: Senior Data Scientist The Team: Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and collaborating with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently / as a team, and apply problem-solving skills to resolve complex issues. Work you will do. Technology: • Deliver exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies • Interfacing with business customers and leadership to gather requirements and deliver complete Data Engineering, Data Warehousing, and BI solutions. • Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. • Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.) • Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models. • Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management. • Demonstrate effective communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients. • Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team. • Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality. Leadership: • Develop high-performing teams by providing challenging and meaningful opportunities, and acknowledge their contributions to the organization's success. • Establish the team's strategy and roadmap, prioritizing initiatives based on their broader business impact. • Demonstrate leadership in guiding both US and USI teams to deliver advanced technical solutions across the GPS practice. • Serve as a role model for junior practitioners, inspiring action and fostering positive behaviors. • Pursue new and challenging initiatives that have a positive impact on our Practice and our personnel. • Establish a reputation as a Deloitte expert and be acknowledged as a role model and senior member by client teams. • Support and participate in the recognition and reward of junior team members. People Development: • Actively seek, provide, and respond to constructive feedback. • Offer development guidance to the GSi team, enhancing their people, leadership, and client management skills. • Play a pivotal role in recruitment and the onboarding of new hires. • Engage in formal performance assessment activities for assigned staff and collaborate with Practice leadership to address and resolve performance issues. • Serve as an effective coach by helping counselees identify their strengths and opportunities to capitalize on them. • Foster a "One Team" mindset among US and USI team members. Qualifications: Required/Preferred: • Bachelor's degree, preferably in Management Information Systems, Computer Science, Software Engineering, or related IT discipline • Minimum of 10+ years of relevant experience with data science technologies and analytics advisory or consulting firms. • Strong knowledge of LLMs and RAG. • Familiarity with AWS, Databricks, and/or Dataiku platforms. • Working knowledge of MLOps, including familiarity with containerization (e.g., Docker). • Excellent troubleshooting skills and the ability to work independently. • Strong organizational skills, including clear documentation of projects and ability to write clean code. • Familiarity with agile project methodology and/or project development lifecycle. • Experience with GitHub for version control. • Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences. • Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job. • Extensive experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., Sage Maker Pipelines, Step Functions, Metaflow, etc.). • Extensive experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.). • Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.). • Proficiency in basic front-end web development (e.g., Streamlit). • Knowledge of Object-Oriented Programming (OOP) concepts. • At least 3-4 years of people management skills are required. • Work Location: Hyderabad Timings: 2 PM 11PM How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities— including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, worldclass learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world.

Fast API, Azure UI Search API (React) Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Azure Cloud Basics (Azure DevOps) Gitlab End-to-end AI solution delivery AI integration and deployment

Job Description Experience: 3+ years Key Responsibilities: Must Have experience in Gen AI OR Machine Learning OR Deep learning OR Reinforcement learning. Hands on exp in LLMs (Large Language Models). Exp in Retrieval-Augmented Generation (RAG) Interested Candidates can directly reach Mirafra office Contact Person - Jyoti Prakash

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Qualifications Required: 8+ years of relevant industry experience leading the design, development, and deployment of machine learning models Experience being the technical lead for multiple project teams simultaneously Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc Understanding of LLMs and prompt engineering Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews Expert understanding of Python and other common languages Deep understanding of machine learning model development life cycles Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS) Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.) Demonstrated ability to write high-quality, production-ready code (readable, well- tested, well-documented, with well-designed APIs) Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools Excellent written and verbal communication skills Ability to travel as needed

Job Summary As a leader in the EDO, Collection Platforms & AI Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions. You will define the data science strategy , champion best practices , mentor a world-class team of data scientists and ML engineers , and drive production-ready AI/ML products from ideation through deployment. This role involves working in a global team that values thoughtful risk-taking and self-initiative. Key Responsibilities Shape and execute the Data Science roadmap for ML, GenAI, and ASR, including tooling, methodologies, and best practices. Architect, develop, and deploy large-scale ML and GenAI pipelines, including Voice Activity Detection (VAD), Speaker Diarization, and ASR models. Own the full data science lifecycle, from opportunity identification and requirement gathering to modeling, deployment, monitoring, and optimization. Drive MLOps practices, including CI/CD for models, feature stores, monitoring, and automated rollback strategies. Mentor and develop junior and mid-level data scientists, fostering a culture of continuous learning and collaboration. Partner with cross-functional stakeholders to align on project goals, timelines, and SLAs. Core Requirements 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role. Proven expertise in developing and deploying ASR systems, including training models (e.g., Whisper), designing VAD pipelines, and implementing Speaker Diarization (e.g., Pyannote). Deep knowledge of large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval. Expert proficiency in Python and its core libraries, including NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, and Hugging Face Transformers. Strong understanding of ML & deep learning architectures like NLP transformers and GNNs. Experience with orchestration and deployment tools such as Docker, Kubernetes, Airflow, and cloud services (AWS/GCP/Azure). Good to Have A Master's or Ph.D. in a related technical field (Computer Science, Statistics, etc.). Prior experience in the Economics/Financial industry. Public contributions on platforms like GitHub, Kaggle, or technical blog

Company: Blubridge Technologies Pvt Ltd Role: Python Developer Vacancies: 12 Year of Passing Out: 2025, 2024, 2023 Education: Bachelor's degree in any discipline Job Location: Mandaveli, Chennai Overview: We are looking for enthusiastic and intellectually curious fresh graduates to join our team as Python Programmers. This role is designed to help you strengthen your programming and analytical skills while aligning your work with our core research initiatives. Over time, based on your growth and curiosity, you will have opportunities to contribute to advanced AI research efforts at Blubridge. Key Responsibilities: Write clean, efficient, and maintainable Python code. Collaborate closely with team members on coding tasks and research-aligned problem-solving. Engage in coding challenges and logic-based tasks to sharpen analytical thinking. Stay proactive in learning and applying new Python libraries, frameworks, and tools. Gain exposure to research-oriented projects that form the basis of our AI infrastructure. Requirements: Bachelor's degree in any discipline (Engineering/Computer Science preferred but not mandatory). High intellectual capability, strong analytical mindset, and curiosity. Strong foundation in mathematics and statistics, including calculus, linear algebra, probability, and statistics. Curiosity and enthusiasm for learning. What We Offer: A rare opportunity to be part of an early-stage AI research lab developing base model in India. Hands-on exposure to research workflows, including data processing, experimentation, and model understanding. A culture that values intelligence, learning, and exploration over formal backgrounds. Clear growth pathways into advanced research roles within our LLM development team. A supportive, stimulating, and intellectually driven environment. Apply Now: Join Blubridge Technologies to begin a career that evolves with your potential from Python programming to meaningful contributions in AI research.

Job description Roles and Responsibilities: As a, Data scientist / Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 7+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not require Seniority Level AssociateRole & responsibilities Preferred candidate profile

Responsibilities: * Develop AI solutions using Python, NLP & Deep Learning on Azure Cloud * Optimize ML models for production environments * Collaborate with cross-functional teams on data analysis & model deployment

Were Hiring: Machine Learning Developer | Noida (Sector 90) Are you ready to accelerate your ML career at a fast-growing B2B SaaS startup? Join a dynamic team that's solving real-world problems with cutting-edge machine learning technologies! Role: Machine Learning Developer Experience: 3.5 to 5 Years Location: Sector 90, Noida Work Mode: 5 Days | Work From Office Notice Period: Immediate to 30 Days Key Responsibilities: Develop and deploy scalable machine learning models Design robust data and AI pipelines Optimize ML workflows for efficiency and performance Maintain and retrain production models as needed What We’re Looking For: Strong Python, PyTorch, Langchain & SQL skills Hands-on with Spark, Dask, Airflow, or Dagster Experience with cloud platforms: AWS, GCP, or Azure Familiarity with MLOps tools: MLflow, Kubeflow, Docker, Kubernetes Bachelor’s/Master’s in CS, AI, Data Science, or related field Interested in or know someone great? Send your resume to gautam@mounttalent.com.

Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build business case for technological investments to be made for future needs and to remain competitive Ensure that billing and utilization of team members is maximized throughout the year

Skills : Python AI/ML & ML Ops Practices Machine Learning and deep Learning Cloud - GCP/AWS/Azure AI/Ml,NLP,LLM DevOps - Docker, Kubernetes, and Git Frontend development and API integration We are seeking a talented and experienced AI Engineer to join our dynamic team. Theideal candidate will have a strong background in Python programming, with extensiveexperience in API development, microservices, and working with both SQL and NoSQLdatabases. Familiarity with Python frameworks such as Flask and FastAPI is essential. Thisrole involves developing high-quality, scalable, and robust applications and services,contributing to a range of projects that make a real impact. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable Python code. Develop and maintain RESTful APIs and services. Work with SQL and NoSQL databases to store and manipulate data effectively. Build scalable microservices and integrate them into larger application ecosystems. Collaborate with cross-functional teams to understand user requirements andprovide technical solutions. Contribute to all phases of the development lifecycle, from concept to deploymentand maintenance. Troubleshoot, test, and maintain the core product software to ensure strongoptimization and functionality. Keep up-to-date with the latest industry trends and technologies in Pythondevelopment.

Job Title: Senior Gen AI Engineer GenAI / ML (Python, Langchain) Experience Required: 7–12 Years Role Overview We are seeking a highly experienced Senior Gen AI Engineer to join our engineering team focused on designing, developing, and deploying cutting-edge Generative AI and Large Language Model (LLM) based solutions. This is a hands-on role requiring deep technical expertise in Python, modern AI frameworks, and system-level thinking to translate complex business requirements into scalable and production-ready AI applications. You will play a pivotal role in shaping the GenAI strategy and delivering high-impact solutions for real-world enterprise use cases. Key Responsibilities GenAI System Design & Development: Build intelligent, context-aware systems using frameworks like Langchain and Retrieval-Augmented Generation (RAG). Prompt Engineering & Agent Workflows: Apply advanced prompt engineering and develop agent-based architectures for dynamic user interaction and reasoning. Technical Roadmapping: Collaborate with engineering leadership to define and implement the technical roadmap for GenAI and LLM initiatives. Solution Delivery: Translate business and functional requirements into scalable, robust, and maintainable AI/ML solutions. Cross-Team Collaboration: Work closely with business SMEs, product teams, and data engineers to align model outputs with domain-specific goals. Code & Architecture Excellence: Participate in system design, code reviews, and performance optimization of deployed solutions. Required Skills Proficient in Python, Langchain, and SQL. Deep understanding of LLM internals, including: Prompt tuning Embeddings Vector databases (e.g., FAISS, Pinecone) EMB Global | www.emb.global Agent workflows Strong foundation in Machine Learning or Software Engineering, especially in system design and architecture. Experience working on cloud platforms: AWS, Azure, or GCP. Ability to work autonomously and deliver in cross-functional environments. Strong communication skills, including experience with stakeholder engagement and technical documentation. Preferred Qualifications 1+ years of hands-on experience in LLMs and Generative AI technologies. Demonstrated experience contributing to or leading ML/AI product pipelines and end-to-end deployments. Familiarity with MLOps, CI/CD for ML, and model monitoring in production. Previous exposure to client-facing projects or collaborative work with business units and AI teams.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems for Inturai Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks. Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems. Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications. Test and Ensure algorithms generate predictable outcomes. Stay up to date with developments in the machine learning industry Responsibilities Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Impeccable analytical and problem-solving skills Excellent time management and organizational skills Desire to learn Preferred qualifications Bachelors degree (or equivalent) in Electronics, Computer Science, or related field. Proven experience as a machine learning engineer or similar role Experience with Tensor, Python, Java, and R based implementations Experience with Digital signal processing Experience in building and consuming APIs Excellent communication and collaboration skills General knowledge of building machine learning systems Innovative mind with a passion for continuous learning

Team Overview: Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology. What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Key qualifications: 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in syntheti

Job Summary NetApp is seeking an AI engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key AI engineer in this initiative, the candidate will be responsible for independently developing and deploying LLM-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data governance and compliance. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today. Job Requirements Lead the development and deployment of AI/ML systems for Data governance with techniques from the realm of classical Machine learning, Generative AI and AI agents. Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations. Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences. Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments. Have a customer-focused mindset and build AI/ML products that delight our customers. Represent NetApp as an innovator in the machine learning community and promote the companys product capabilities in industry/academic conferences. Required and Preferred Qualification Required Qualification Master s degree in computer science / applied mathematics/statistics/data science or equivalent experience. Strong expertise in data science fundamentals and model evaluations. Solid understanding of supervised and unsupervised machine learning algorithms (machine learning and deep learning). 4-8 years of experience of optimizing and shipping machine learning and deep learning models to production. Demonstrated proficiency in using large language models, prompting techniques, fine-tuning and knowing when not to use LLMs. Proficiency in Python and at least one modern ML framework such as PyTorch / Tensorflow or transformers. Excellent communication and collaboration skills, with a demonstrated ability to work effectively with cross-functional teams and organizational stakeholders. Preferred Qualification Curiosity and tinkering with AI agents or multi-agent systems with agentic AI frameworks (Langgraph, LlamaIndex, crewai, smolagents etc.). Understanding of data governance, security policies, and compliance frameworks. Applied knowledge of MLOps / LLMOps practices, CI/CD pipelines, cloud platforms and ML systems lifecycle management. Experience of representing their work or company in AI/ML conferences. Publications or contributions to AI/ML community related to NLP or data governance. Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements

Experience: 8+ Years Location: Balewadi Highstreet, Pune Mode of Work: Hybrid 8+ years of overall experience in machine learning and deep learning, with 2+ years focused on Large Language Models (LLMs) and Generative AI. Practical knowledge of Natural Language Processing (NLP) use cases Expertise in Retrieval-Augmented Generation (RAG) techniques, including ingestion techniques, parsing/chunking strategies, reranking, embedding, and vector databases. Proficient in retrieval strategies such as hybrid, BM25, keyword, semantic, and metadata filtering. Strong background in prompt engineering, including system prompts and context prompting to enhance model interactions and outputs. Experience with evaluation techniques for both generation and retrieval. Knowledge of ethical AI practices, including guardrails to prevent prompt injections and ensure responsible AI usage. Familiarity with frameworks such as Langchain, Llama-index, and NeMo for building robust AI applications. Understanding of agent-based systems like CrewAI and Langgraph for enhanced AI capabilities

Responsibilities: Conducting classroom and online lectures on programming languages (Data Science, Python, Data Analytics) and related technologies to students Assigning and evaluating coursework, quizzes, and projects Providing one-on-one assistance and mentoring to students as required Ensuring that the course curriculum is up-to-date and relevant to industry standards Collaborating with other trainers and course developers to develop new training materials Maintaining accurate student records and progress reports Creating a positive and engaging learning environment for students Participating in faculty meetings, staff development programs, and other professional development activities as required Staying up-to-date with the latest trends and developments and related technologies Requirements: A Bachelor's or Master's degree in Computer Science or a related field A minimum of 1 years of experience as a trainer Excellent communication and interpersonal skills Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep Learning, NLP and related technologies Experience working with databases such as PostgreSQL and MySQL A passion for teaching and helping students achieve their career goals Ability to work independently as well as in a team environment

Deep Learning Engineer (Computer Vision & Audio Analysis) Location: Remote / Client Location Experience: 3+ Years Employment Type: Full-Time (Client Deployment via Hubnex Labs) Role Overview Join a pioneering AI team to design and deploy cutting-edge deep learning solutions for computer vision and audio analysis. You ll leverage CNNs, Vision Transformers, attention mechanisms, and multi-modal techniques to solve complex real-world challenges in object detection, video processing, and audio classification. Key Responsibilities Design, develop, and optimize deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. Implement and fine-tune CNN architectures , Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention). Process multi-modal data: Video : Apply spatiotemporal modeling (3D CNNs, temporal attention) Audio : Extract features (spectrograms, MFCCs) and build classification pipelines Utilize pretrained models (transfer learning) and multi-task learning frameworks. Optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaborate with MLOps teams to deploy solutions into production. Required Skills Programming : Advanced Python (PyTorch/TensorFlow) Computer Vision : Vision Transformers (ViT, Swin, DeiT) Object detection (YOLO, SSD, Faster R-CNN, DETR) Video analysis (temporal modeling) Audio Processing : Feature extraction (MFCCs, spectrograms) and classification Modeling Expertise : Attention mechanisms (self/cross-attention, SE, CBAM) Transfer learning and fine-tuning Training strategies (LR scheduling, early stopping, data augmentation) Experience handling large-scale datasets and building data pipelines. Preferred Qualifications Exposure to multi-modal learning (combining vision/audio/text) Familiarity with R for statistical analysis Publications or projects in CVPR/NeurIPS/ICML This role is for a client of Hubnex Labs. Selected candidates will represent Hubnex while working directly with the client s AI team.

">Data Science 6-10 Years Bengaluru Data science Job Summary: We are looking for an experienced and innovative Senior Data Scientist with 6 to 10 years of experience, specializing in Generative AI (GenAI) , Large Language Models (LLMs) , and Natural Language Processing (NLP) . The ideal candidate will have deep expertise in developing and deploying AI/ML solutions, including Retrieval-Augmented Generation (RAG) frameworks, and working with cloud platforms such as Google Cloud Platform (GCP) . Key Responsibilities: Design, develop, and deploy advanced AI/ML models with a focus on NLP, GenAI, and LLMs. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Collaborate with cross-functional teams to translate business problems into AI solutions. Evaluate and fine-tune foundation models (e.g., GPT, PaLM, LLaMA) for domain-specific use cases. Work with cloud services (primarily GCP) for scalable model training and deployment. Develop robust data pipelines and conduct data preprocessing and feature engineering. Stay current with the latest advancements in GenAI, deep learning, and NLP. Mentor junior data scientists and contribute to knowledge sharing and best practices. Required Skills and Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or a related field. A PhD is a plus. 6 to 10 years of hands-on experience in data science or machine learning roles. Strong programming skills in Python ; familiarity with R is a plus. Proven experience with Generative AI , LLMs , and NLP frameworks (e.g., Hugging Face Transformers, SpaCy, NLTK). Practical knowledge of RAG architectures and vector databases (e.g., FAISS, Pinecone). Solid experience in deep learning using libraries such as TensorFlow, PyTorch, or JAX. Hands-on experience with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and Cloud Storage. Excellent problem-solving skills and the ability to work independently or within a team. Preferred Qualifications: Experience in deploying LLMs in production environments. Knowledge of prompt engineering and fine-tuning techniques. Familiarity with CI/CD workflows for machine learning. Background in MLOps and model monitoring in cloud environments.

Responsibilities: * Design, develop & maintain full-stack applications using Python, Linux & Deep Learning. * Collaborate with cross-functional teams on data engineering projects.

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical : Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsDocker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)