184 Model Deployment Jobs

Job Application Link:https://app.fabrichq.ai/jobs/2038ab65-2dc1-4573-8305-17df6bce4202 Job Summary: Lead Engineer-AI/ML responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures. The role involves working with complex datasets, collaborating with cross-functional teams, and implementing AI models in production environments. The position requires expertise in machine learning, generative AI techniques, and MLOps practices. Key Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures Work with extensive and complex datasets, performing tasks...

Role Overview: The Data & Analytics team at the leading financial institution in MENA is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, there are two roles - Data Analysts and Data Scientists. Both roles involve working with data, writing queries, collaborating with engineering teams to source relevant data, performing data munging, and extracting meaningful insights from the data. Data Analys...

As a potential candidate for this position, you will be responsible for contributing to cutting-edge AI/ML solutions at Goldman Sachs. Here is a breakdown of the qualifications and attributes you should possess: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a related field is required. - Preferably 7+ years of AI/ML industry experience for Bachelors/Masters, 4+ years for PhD, with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures like transformers, RNNs, CNNs. - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, sciki...

Description We are seeking an AI/ML Engineer to join our team in Chennai. The ideal candidate will have a strong background in artificial intelligence and machine learning, with a passion for developing innovative solutions. This role involves working with data, designing models, and collaborating with various teams to drive the implementation of AI/ML projects. Responsibilities Design, develop, and implement AI/ML models and algorithms to solve complex problems. Collaborate with cross-functional teams to gather requirements and deliver effective solutions. Analyze and preprocess data to ensure high-quality inputs for machine learning models. Conduct experiments and tests to validate model p...

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and en...

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...

As a recent PhD graduate in Computer Science, Machine Learning, AI, or a related field, you have the opportunity to join a cutting-edge team that focuses on pushing the boundaries of machine learning in a dynamic industry setting. In this role, you will work on complex challenges related to large language models (LLMs), optical character recognition (OCR), and model scaling. **Key Responsibilities:** - Lead research initiatives to enhance OCR accuracy across various document types and languages. - Train and fine-tune LLMs using domain-specific data to improve performance in specialized contexts. - Develop efficient techniques to scale LLMs for high-volume production environments. - Design an...

You will be responsible for the following key roles: - AI/ML Developer (2-3 years experience): - Develop, fine-tune, and deploy AI/ML models. - Senior AI/ML Developer (5-7 years experience): - Lead AI/ML projects, optimize large-scale models, and mentor junior developers. Qualifications required for the role include: - B.Tech / M.Tech in Computer Science, AI, or related fields. - AI/ML Developer: - 2-3 years of experience in AI/ML development, strong in Python, TensorFlow/PyTorch, data engineering. - Senior AI/ML Developer: - 5-7 years of experience with expertise in LMs, deep learning, scalable architectures, and performance optimization. - Experience with MLOps tools MLflow, Kubeflow, Dock...

As a Manager/Assistant Manager - Data Science at our company in Mumbai, your role involves developing and implementing data-driven solutions to drive business growth and improvement. You will lead and manage a team of data scientists, design and deploy machine learning models, conduct time series forecasting, analyze digital marketing campaigns, and collaborate with cross-functional teams to integrate data science insights into business strategies. It is essential for you to stay updated with industry trends and advancements in data science and AI. Key Responsibilities: - Develop and implement data-driven solutions for business growth - Lead and manage a team of data scientists - Design and ...

Senior Lead NLP/Gen AI - Data and AI Chennai, Bangalore, Hyderabad,Pune & NCR Curious about the role? What your typical day would look like? We are seeking a motivated and enthusiastic NLP practitioner to contribute to solving complex problems for our clients. In this role, you will work on internal product development and support client-focused projects, with exposure to the pharma domain being a plus. You'll collaborate with experienced team members and learn to create impactful AI solutions while optimizing and developing GenAI applications. Your responsibilities will include: Supporting the design, development, and deployment of GenAI solutions, learning to address challenges like halluc...

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Google's products operate at an immense scale and cover a wide range of domains such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI/UX, and mobile technologies. Your work will involve tackling complex challenges and contributing to projects that are vital to Google's ongoing success. The Platforms and Devices team at Google is responsible for developing various software platforms, including desktop and mobile environments, applications, as well as Google's first-party devices and services. The team f...

As a Senior Consultant at Accenture AI, you will be a key member of our Banking team, utilizing your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to drive innovation and enhance our AI capabilities. Your primary responsibility will be to collaborate with various teams to design, develop, and implement generative AI solutions that cater to our business requirements. You will work closely with product managers, engineers, and stakeholders to understand project requirements and deliver impactful AI solutions. Your tasks will include containerizing and deploying generative AI models using tools like Docker, Kubernetes, and cloud platforms such as AWS, A...

As a seasoned professional with extensive experience in machine learning operations (MLOps), you will be responsible for leading a talented team and developing a comprehensive technical strategy. Your expertise in Python programming and ML frameworks such as TensorFlow or PyTorch will be crucial in implementing MLOps best practices, including model versioning, monitoring, automated deployment, and infrastructure automation. Your in-depth knowledge of Google Cloud Platform services, including Data Fusion, Dataproc, and Dataflow, will play a key role in data processing and pipeline orchestration. Experience with PostgreSQL databases and data integration tools like Qlik Replicate will further e...

Job Title: Senior Data Scientist AI & Generative AI Azure / AWS Location: Bangalore, Whitefield (Hybrid mode 2 days WFO) Experience: 5 to 12 years Role Overview We are seeking an experienced Data Scientist with strong expertise in AI/ML, Generative AI (GenAI), and Microsoft Azure cloud services . The role involves designing, developing, and deploying advanced AI solutions leveraging LLMs, generative models, and Azure-native services to deliver business impact at scale. Key Responsibilities Design and implement AI/ML models , including LLMs and generative AI architectures (e.g., GPT, Diffusion Models). Build and optimize end-to-end AI pipelines on Azure using services like Azure Machine Learn...

Hi Everyone! We are having an urgent opening for the role of AI/ML Engineer Description We are seeking an experienced AI/ML Engineer to join our team in India. The ideal candidate will have a strong background in machine learning algorithms and data analysis, with the ability to develop innovative solutions to complex problems. Responsibilities Develop and implement machine learning models and algorithms to solve complex problems. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Analyze large datasets to identify trends, patterns, and insights that can inform decision-making. Optimize and improve existing machine le...

You should have a Bachelor's degree or equivalent practical experience along with 5 years of experience in software development using one or more programming languages. In addition, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. Moreover, you should possess 3 years of experience in speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field. You are also expected to have 3 years of experience in ML infrastructure including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications f...

The company you will be working for believes in conducting business based on core values like Inclusion, Innovation, Collaboration, and Wellness. These values guide the team to work together globally with customers at the forefront while also emphasizing self-care and community well-being. In this role, you will be responsible for driving the strategic vision and development of advanced machine learning models and algorithms aimed at solving intricate problems. Collaborating with data scientists, software engineers, and product teams, you will focus on enhancing services through innovative AI/ML solutions. Your duties will include constructing scalable ML pipelines, ensuring data quality, an...

Role & responsibilities Analyze large, complex datasets to identify patterns and trends Build and deploy predictive models and machine learning algorithms Collaborate with data engineers and business stakeholders to define problem statements and deliver solutions Create clear visualizations and dashboards to present data insights Implement data cleaning, validation, and transformation techniques Support automation of reporting processes and recurring data analysis tasks Stay up to date with latest developments in data science and AI Preferred candidate profile 1 to 3 years of experience in Data Science or related field Proficiency in Python (including libraries such as Pandas, SQL Alchemy, N...

We are hiring an ML Engineer/ML Ops Engineer with 5+ years’ experience to design scalable ML pipelines, deploy production-ready models, and implement CI/CD for enterprise AI systems. Strong skills in ML algorithms, MLOps, & data engineering required. Required Candidate profile Experienced ML/MLOps Engineer with expertise in ML pipelines,scalable model deployment,CI/CD,automation, & advanced machine learning algorithms.Strong background in software engineering &data systems.

Job Title: Senior Data Scientist / Senior Gen AI Developer Location: PAN India Years of Experience: 4-10 years (Experience: 4- 10 years with at least 3-5 project lifecycle experience in data science.) with Bachelor/Master in Statistics/Economics, BE/BTech/MTech with above experience . Position Overview: This role requires a strong expertise in AI/ML with a focus on Generative AI, combined with business acumen to drive client transformation. In this role, you will be responsible for the design, development, and optimization of AI/ML & generative AI models, with a focus on leveraging Python for algorithm development, model implementation, and deployment. Key Responsibilities: Solution Developm...

As an AI Architect with 8-12 years of experience, you will be based in Hyderabad for 3 days a week. Your primary focus will be on collaborating with banking institutions to shape their AI strategy and design their AI platform. Your key responsibilities will include identifying the most suitable AI techniques for various client use cases, such as supervisory or reinforced learning, and LLM models. You should also possess experience in crafting architecture for ML ops platforms, encompassing tasks like model management and deployment. Additionally, familiarity with either custom or GCP ML orchestration platforms for building, managing, and deploying models is highly desirable.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We ...

As a highly skilled individual in the field of AI and machine learning, you will be responsible for designing and implementing advanced machine learning models and deep learning algorithms. Your expertise will be utilized to develop scalable ML pipelines using tools such as TensorFlow, PyTorch, Scikit-learn, or similar platforms. You will take the lead in managing the end-to-end model lifecycle, starting from data preparation to deployment and monitoring. Collaboration will be a key aspect of your role, as you will work closely with data engineers, software developers, and domain experts to seamlessly integrate AI/ML solutions into various products. Your responsibilities will also include mo...

We are seeking an experienced Data Architect to become a valuable member of our diverse team. In this role, your primary focus will be on delivering top-notch, scalable solutions by utilizing your expertise in Gen AI solutions, cloud technologies, and system design to exceed customer expectations. Your responsibilities will include designing and developing architectural concepts, creating technical roadmaps, and ensuring that software architecture aligns with business requirements. You will be responsible for setting up Continuous Integration, analyzing large databases on scalable cloud infrastructures, and developing prototypes using big-data technologies. As a Data Architect, you will also...

You will be joining a life sciences company that specializes in pharmaceutical regulatory solutions and utilizes AI to address intricate data challenges within specialized fields. As a Machine Learning Engineer, your primary responsibility will be to lead NLP-driven projects and contribute to the development of foundational AI models tailored for domain-specific applications. Your key tasks will involve designing and building machine learning systems in the Pharma Life Science domain, implementing relevant ML algorithms, conducting experiments, and keeping abreast of the latest advancements in the field. Your duties will include developing and refining machine learning models that focus on t...