55 Gpt Jobs - Page 3

•Candidates should have knowledge Microbiological analysis, MLT Validation, Media preparation, GPT, Environment monitoring, Validation and qualification of equipment.

Role: Tech Lead in AI/ML Location: Pune Type: Permanent The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes . Previous experience working in Private Markets, Financial Services or FinTech space . Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued. If you are interested, please share your updated resume to me at heena.ruchwani@gspann.com

Key Responsibilities: Lead the design, development, and deployment of AI/ML models, including deep learning, NLP, computer vision, and generative AI. Research and experiment with various AI models, including transformer-based architectures (GPT, BERT, T5), diffusion models, LLMs, and reinforcement learning models. Optimize and fine-tune models for performance, scalability, and cost-effectiveness. Integrate AI solutions into cloud-based platforms (AWS, Azure, GCP) and on-premise environments. Work with data engineers and MLOps teams to ensure seamless data pipelines and model deployment. Evaluate the latest AI advancements and recommend adoption strategies for cutting-edge models. Mentor and guide junior AI engineers, providing technical leadership and code reviews. Collaborate with cross-functional teams, including product managers, designers, and software engineers, to align AI solutions with business goals. Ensure AI models comply with ethical AI principles, security standards, and regulatory guidelines. Role & responsibilities Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. 7+ years of hands-on experience in AI/ML, including model training, fine-tuning, and deployment. Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras. Experience working with transformer models (GPT, BERT, Llama), computer vision models (YOLO, CLIP), and generative models (Stable Diffusion, GANs). Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn, Hugging Face). Hands-on experience with MLOps tools such as MLflow, Kubeflow, or SageMaker. Strong knowledge of cloud services (AWS Sagemaker, Azure AI, Google Vertex AI) and model deployment strategies. Experience with vector databases (FAISS, Pinecone) and LLM orchestration frameworks (LangChain, LlamaIndex). Excellent problem-solving skills and the ability to troubleshoot AI model issues. Strong communication and leadership skills to guide teams and present AI solutions to stakeholders. Preferred candidate profile Perks and benefits

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Key Responsibilities : Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.

Design & develop embedded software in C to run on ECU Generate C code from models and integrate it with handwritten code Test & validate the software on ECU in lab as well as in real life environment Create documentation for the software and tools Required Candidate profile DIP / BE 1+yr exp into EMBEDDED SOFTWARE DEVELOPMENT having strong skills in C, RTOS, MATLAB, Simulink, Microcontroller programming, NXP, Infineon, ST, ADC, PWM, SPI, GPT, PORT, UART, LIN, Debugging Perks and benefits Excellent Perks. Send CV to cv.ch2@adonisstaff.in