68 Hyperparameter Tuning Jobs

Role Overview: You will be joining the Model Risk Management Group (MRMG) as a Consultant, Risk analytics at Northern Trust. Your primary responsibility will be to support the model validation function by validating models developed in Python or SAS. You will challenge the conceptual soundness of machine learning models and ensure the quality of data used for development. Additionally, you will have a solid understanding of various financial models and risks associated with AI/ML models. Key Responsibilities: - Validate models developed in Python or SAS, ensuring the conceptual soundness and quality of data - Proficiency in financial models used in portfolio analysis, asset management, Value...

As a Machine Learning Engineer at our company, you will be responsible for SAS to Python code conversion, acquiring skills for building machine learning models, and deploying them for production. Your role will involve feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning with both structured and unstructured datasets. Additionally, you will develop and deploy cloud-based applications, including LLM/GenAI, into production. Key Responsibilities: - Hands-on experience working with SAS to Python conversions - Strong mathematics and statistics skills - Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc - Ability to...

Role Overview: PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey, with expert teams of Business Analysts across various locations. The firm provides Analytics and Business Solutions to a diverse clientele in the BioPharma sector, with expertise in Forecasting, Business Analytics, Competitive Intelligence, and more. They cater to clients in different therapeutic areas such as Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases, across Primary Care, Specialty Care, and Hospital business units. Key Responsibilities: - Analyze different pharmaceutical/life sciences data sets including claims data, electronic medical records, patient level data,...

As a highly experienced AI/ML Engineer, you will be responsible for developing and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to work on document parsing, Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), chatbots, and intelligent document systems. Your passion for AI will drive you to work on large-scale, impactful projects. Your key responsibilities will include: - Developing ML & DL models to solve complex business problems and enhance product functionality. - Building and deploying personalized LLMs for various applications. - Designing and implementing document parsing, NER, RAG, chatbot, and document processing...

You are an experienced Data Scientist with expertise in ML/DL, model lifecycle management, and MLOps tools such as MLflow and Kubeflow. You are proficient in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models. Your strong experience in NLP, fine-tuning transformer models, and dataset preparation will be valuable. Key Responsibilities: - Design and implement end-to-end ML pipelines from data ingestion to production - Develop, fine-tune, and optimize ML models for high performance and scalability - Compare and evaluate models using key metrics such as F1-score, AUC-ROC, and BLEU - Automate model retraining, monitoring, and drift detection - Collaborate with engineering teams to...

Engagement Type: Contractual (Immediate Joiners Preferred) Location: Noida / Gurgaon / Indore / Bangalore / Pune / Remote (Hybrid model for on-site locations) About the Role We're seeking experienced Machine Learning Engineers to join our client's high-impact AI/ML projects. You'll work on designing, developing, and deploying scalable ML solutions across domains driving innovation, automation, and data-driven decision-making. Key Responsibilities Design, develop, and implement end-to-end ML pipelines including data ingestion, feature engineering, and model deployment. Collaborate with business, data, and product teams to deliver actionable insights and AI-driven solutions. Build scalable dat...

Role Overview: As an AI/ML Engineer specializing in Language Models, you will be an integral part of our dynamic team, dedicated to creating, training, optimizing, and deploying advanced Language Models (LMs), with a focus on Large Language Models (LLMs). Your role will involve shaping innovative AI solutions that enhance conversational intelligence, automation, and user-centric applications by working closely with LM architectures to ensure scalability and efficiency. Key Responsibilities: - Design and build custom Language Models (LMs) and Large Language Models (LLMs) using cutting-edge architectures like transformers. - Train models on extensive datasets, developing efficient training pip...

As an AI/ML Lead / Associate Architect, your main responsibilities will include: - Designing, implementing, and optimizing end-to-end ML training workflows, from infrastructure setup to deployment and monitoring. This involves evaluating and integrating multi-cloud and single-cloud training options across platforms like AWS, as well as leading cluster configuration, orchestration design, environment customization, and scaling strategies. - Comparing and recommending hardware options such as GPUs, TPUs, and accelerators based on factors like performance, cost, and availability. - Having at least 4-5 years of experience in AI/ML infrastructure and large-scale training environments, being an ex...

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers. Your responsibilities will include managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and proto...

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Mana...

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...

As a Global Healthcare Consulting Firm, PharmaACE is dedicated to providing Analytics and Business Solutions to a diverse range of clients in the pharmaceutical and life sciences industry. We are seeking a talented individual to join our team in the role of a Business Analyst. **Key Responsibilities:** - Analyze various pharmaceutical and life sciences data sets such as claims data, electronic medical records, patient level data, prescription data, and sales data - Communicate findings to clients and collaborate with onshore team members - Develop and nurture client relationships while acting as a key offshore contact for projects - Understand business objectives and create models to support...

As a Customer-Facing Data Scientist at Aera Technology, you will play a crucial role in collaborating closely with customers to troubleshoot issues, enhance deployed models, and optimize ML/AI systems for real-world performance. Your responsibilities will include investigating complex datasets, conducting extensive Exploratory Data Analysis (EDA), acting as the primary technical contact for Data Science issues, fine-tuning hyperparameters, articulating technical findings clearly to customers, and collaborating with cross-functional teams to implement comprehensive solutions. Key Responsibilities: - Investigate complex datasets to diagnose issues like model degradation, unexpected patterns, a...

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. - Develop an end-to-e...

Role Overview: As a Python Machine Learning & AI Developer at Chicmic Studios, you will be instrumental in the development and maintenance of web applications by utilizing your expertise in Python, Django, Flask, and AI/ML technologies. Your primary responsibilities will include: Key Responsibilities: - Develop and maintain web applications using Django and Flask frameworks. - Design and implement RESTful APIs with Django Rest Framework (DRF). - Deploy, manage, and optimize applications on AWS services like EC2, S3, RDS, Lambda, and CloudFormation. - Build and integrate APIs for AI/ML models into existing systems. - Create scalable machine learning models using PyTorch, TensorFlow, and sciki...

Vice President, Model Risk Management At BNY, our culture allows us to run our company better and enables employees growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and ...

In this role at EY, you will have the opportunity to contribute to the Supply Chain Technology group of the GDS consulting Team as a Staff Level Consultant with expertise in Generative AI. Your responsibilities will involve designing, developing, and fine-tuning Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Additionally, you will implement solutions for data pre-processing, tokenization, and dataset augmentation, and deploy Generative AI models on cloud platforms or edge devices to ensure scalability and robustness. You will work on MLOps pipelines, conduct performance benchmarking, hyperparameter tuning, and stay updated on the latest trends in ...

Key Responsibilities Develop and implement machine learning algorithms to solve business problems. Build and maintain predictive models for tasks such as future order forecasting, classification, and clustering. Analyze and visualize large datasets to uncover patterns, trends, and actionable insights. Collaborate with cross-functional teams to understand client needs and deliver tailored ML solutions. Optimize model performance through hyperparameter tuning and feature engineering. Continuously research and apply the latest machine learning techniques and best practices. Present findings and insights clearly to both technical and non-technical stakeholders. About Company: Papasiddhi has alwa...

As an experienced AI Data Analyst with 7+ years of professional experience, including leadership in tech projects, you will be responsible for working on cutting-edge AI solutions at a company located in Mahape, Navi Mumbai with a Hybrid Work from Office setup. Your expertise in Python, Machine Learning, AI APIs, and Large Language Models (LLMs) will be essential for this role. **Key Responsibilities:** - Perform data exploration, profiling, and cleaning across large datasets. - Design, implement, and evaluate machine learning and AI models for business problems. - Leverage LLM APIs, foundation models, and vector databases to power AI-driven analysis. - Build end-to-end ML workflows from dat...

Role Overview: As an AI Engineer specializing in Deep Learning and Medical Imaging, your role will involve envisioning, designing, developing, and deploying cutting-edge technologies to address real-world challenges in medical imaging. This includes tasks such as classification, semantic segmentation, object detection, landmark detection, image translation, and generation. You will also be responsible for analyzing datasets to identify patterns and trends that can enhance the learning, generalizability, and robustness of AI models. Additionally, formulating a data preparation and engineering strategy for research and development purposes will be a key aspect of your responsibilities. Key Res...

As an AI/ML Developer with 2-6 years of experience, your role will involve the following key responsibilities: - Utilize your strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. - Apply hands-on experience in deep learning, NLP, and computer vision to develop AI/ML models. - Demonstrate expertise in handling large datasets and implementing data pre-processing techniques. - Deploy ML models on cloud platforms such as AWS Sage maker, Azure ML, and GCP AI. - Utilize your strong knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. - Work with database technologies (SQL, NoSQL) and big data frameworks (Spa...

As a Machine Learning Engineer at Grant Thornton INDUS, your role involves utilizing your hands-on experience in Machine Learning Model and deep learning development using Python. You will be responsible for Data Quality Analysis, Data preparation, Exploratory Data Analysis, and visualization of data. Your tasks will include defining validation strategies, preprocessing or feature engineering on datasets, and defining data augmentation pipelines. Additionally, you will be working on text processing using Machine Learning and NLP for processing documents. Key Responsibilities: - Hands-on experience in Machine Learning Model and deep learning development using Python - Data Quality Analysis an...

Role Overview: You will be joining ImageVision.AI, an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries. The company has been recognized as one of the "10 Most Promising Computer Vision Startups" by CIO Tech Outlook. Your role as a Technical Computer Vision Lead will involve spearheading the design, development, and deployment of advanced AI and computer vision solutions, pushing the boundaries of AI-powered vision technology. Key Responsibilities: - Lead and mentor a team of computer vision engineers and data scientists. - Collaborate with ML engineers, product managers, hardware teams, and other stakeholders to define system r...

You will be joining ImageVision.AI, an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries. In 2024, CIO Tech Outlook recognized ImageVision.AI as one of the "10 Most Promising Computer Vision Startups." Your mission will be to leverage state-of-the-art AI models to develop innovative, real-world applications that transform businesses. Join the team pushing the boundaries of AI-powered vision technology! **Key Responsibilities:** - Lead and mentor a team of computer vision engineers and data scientists. - Collaborate with ML engineers, product managers, hardware teams, and other stakeholders to define system requirements and integ...

You will be joining the Model Risk Management Group (MRMG) at Northern Trust, a globally recognized financial institution with over 130 years of experience and more than 22,000 partners. As a Senior Consultant, Risk Analytics, your primary role will involve validating models developed in Python, R, and occasionally SAS. Your responsibilities will include challenging the conceptual soundness of regression and machine learning models, understanding risks posed by AI/ML models, and having a solid grasp of financial models used in portfolio analysis and risk management. Key Responsibilities: - Validate models developed in Python, R, and SAS, ensuring the use of appropriate and high-quality data....