1513 Deep Learning Jobs - Page 31

The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results Create robust evaluation frameworks for assessing model performance across different domains and use cases Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. 6+ years of building machine learning models for business application experience PhD, or Masters degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing

The Amazon Photos team is looking for a world-class Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With all the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results Create robust evaluation frameworks for assessing model performance across different domains and use cases Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PhD in computer science, machine learning, engineering, or related fields Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Material contributions to the CV/ML/AI field as related to image and video processing

DS Key Responsibilities Combine expertise in mathematics statistics computer science and domain knowledge to create AIML models to solve various business challenges Collaborate closely with the AI Technical Manager and GCC Petro technical professionals and data engineers to integrate models into the business framework Identify and frame opportunities to apply advanced analytics modeling and related technologies to data to help businesses gain insight and improve decision making workflow and automation Understand and communicate the value of proposed opportunity with team members and other stakeholders Identify needed data and appropriate technology to solve identified business challenges Clean data and develop and test models Establish the life cycle management process for models Provide technical mentoring in modeling and analytics technologies the specifics of the modeling process and general consulting skills Drive innovation in AIML to enhance capabilities in data driven decision making Aligns with team on shared goals and outcomes recognizes others contributions and work collaboratively seek diverse perspectives Takes actions to develop self and others beyond existing skillset Encourages innovative ideas adapts to change and changing technologies Understand and communicate data insights and model behaviors to stakeholders with varying levels of technical expertise Required Qualification Minimum 5 years of experience in designing and developing AIML models and or various optimization algorithms 5 to 9 years of experience Solid foundation in mathematics probability and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies eg supervised and unsupervised learning statistics data science model development Proficiency in Python and working knowledge of cloud AIML services Azure Machine Learning and Databricks preferred Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain eg upstream midstream or downstream and associated business workflows Proven ability to frame data science opportunities leverage standard foundational tools and Azure services to perform exploratory data analysis for purposes of data cleaning and discovery visualize data and identify actions to reach needed results Ability to quickly assess current state and apply technical concepts across cross functional business workflows Experience with driving successful execution deliverables and accountabilities to meet quality and schedule goals Ability to translate complex data into actionable insights that drive business val Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels across functional and geographic boundaries to achieve desired outcomes Demonstrated ability to adjust behavior based on feedback and provide feedback to other Team oriented mindset with effective communication skills and the ability to work collaboratively Strong problem solving skills and attention to detail Excellent communication and collaboration skills

ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

Train learners in tools such as Python, R, SQL, Power BI/Tableau, Excel, and relevant ML libraries (e.g., scikit-learn, TensorFlow, Numpy, Pandas). Mentor learners, solve doubts, and track progress through assessments Full Time / Part Time available

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

Ripple Healthcare is looking for User Research Intern to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions Conduct in depth research to gather insights into user behavior and preferences. Analyze data to inform product development and improve user experiences.

About the Role: Were looking for an innovative and execution-focused Machine Learning Engineer with deep expertise in AI/ML model development, deployment, and scaling. This role goes beyond research — we’re looking for someone eager to take models from notebooks to real-world systems and own the full ML lifecycle. Key Responsibilities: Design, develop, and deploy machine learning models for large-scale applications. Apply GenAI, NLP, and deep learning techniques to real business problems. Own the entire model pipeline — from ideation and training to testing and deployment. Work closely with cross-functional teams to drive AI-powered product features. Ensure scalability, reliability, and robustness in model performance. Core Requirements: Strong foundation in AI/ML research and model deployment. Hands-on experience with GenAI, NLP, deep learning , and large-scale ML systems. Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, etc.). Experience with ML frameworks: TensorFlow / PyTorch . Working knowledge of ML algorithms – Regression, Classification, Clustering, Random Forest, Boosting, etc. Solid grasp of Probability, Statistics, and Mathematics . Strong command of SQL for data extraction. Understanding of production ML architecture and deployment pipelines . Bonus Skills: Experience deploying models to production environments . Familiarity with Linux commands and scripting. Exposure to cloud platforms (e.g., GCP, AWS, Azure). Understanding of A/B Testing frameworks and experimentation.

Role & responsibilities Design ML design and Ops stack considering the various trade-offs. Statistical Analysis and fundamentals MLOPS frameworks design and implementation Model Evaluation best practices -Train and retrain systems when necessary. Extend existing ML libraries and frameworks -Keep abreast of developments in the field. Act as a SME and tech lead / veteran for any data engineering question and manage data scientists and influence DS development across the company. Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities. Ensure compliance with policies related to Data Management and Data Protection Preferred candidate profile Strong experience (2+ years) with Building statistical models, applying machine learning techniques Experience (2+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks Proven experience (2+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Proven experience (2+ years) on innovation implementation from exploration to production: these may include containerization (i.e. Docker/Kubernetes) , Big data (Hadoop, Spark) and MLOps platforms. Deep understanding of E2E software development in a team, and a track record of shipping software on time Ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions. Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration

We are seeking a highly qualified Assistant / Associate Professor in Computer Science & Engineering (CSE) to join our esteemed faculty. The candidate will be responsible for teaching undergraduate and postgraduate courses, conducting research, mentoring students, and contributing to academic and institutional development. Key Responsibilities: Deliver lectures, labs, and seminars in core and specialized areas of CSE . Guide research scholars and students in projects, dissertations, and publications. Develop and update curriculum to align with industry trends and emerging technologies. Publish research in reputed journals and participate in academic conferences. Secure research grants and collaborate on interdisciplinary projects. Engage in student mentoring, counseling, and extracurricular activities. Participate in faculty development programs and institutional initiatives. Qualifications & Experience: Ph.D. in Computer Science & Engineering or a related field from a recognized university. Minimum 8-10 years of teaching/research/industry experience (as per AICTE/UGC norms). Strong research background with publications in SCI/Scopus indexed journals. Expertise in areas like AI, Machine Learning, Cybersecurity, IoT, Data Science, Cloud Computing, etc. Inviting applications at umang.hr@cgc.ac.in or can call at 8360367050

Dear Candidates Are you looking for opportunities ? If yes, read below to know more about an opportunity in Redserv (Redington Group), one of the leading Supply Chain Management organizations! Role hiring for: Artificial Intelligence Work Location : Guindy Experience : 2-4 Years Hands on experience in Python and AI/ML is must Mode : Work from office Notice : Immediate - 30 days Roles & Responsibilities: Develop and implement machine learning algorithms and models using Python. Design and develop Python-based applications. Build, maintain, and optimize scalable and efficient AI/ML systems that meet performance and accuracy standards. Collaborate with data scientists and domain experts to understand business needs and deliver AI/ML solutions addressing real-world challenges. Perform data preprocessing, feature engineering, and data transformation to prepare datasets for model training. Utilize deep learning frameworks like TensorFlow for model development and deployment. Stay updated with the latest AI/ML advancements and incorporate them into company projects. Fine-tune and optimize AI/ML models for enhanced performance and efficiency. Work closely with cross-functional teams to integrate AI/ML solutions into existing applications and systems. Conduct code reviews, ensure high code quality, and adhere to best coding practices. Debug and resolve issues in AI/ML systems promptly. Use DevOps practices to deploy and monitor AI/ML solutions in production environments. Location of the Interview No.5, RR Towers, 6th Floor, Plot No 33A, Thiru Vi Ka Industrial Estate, Guindy Chennai, Tamil Nadu 600032 (Next to Olympia Platina building) Date & Time: 10th June 2025 | 11.00 AM - 1 PM Documents to Carry for the Interview - Current updated Resume - Please carry your last 3 months pay slips Regards Team HR

Job Title: Lead Data Scientist Location: Bangalore Urban, India (Hybrid) Key Responsibilities: Lead AI/ML initiatives across multiple projects. Collaborate with other data scientists and cross-functional teams. Translate business and technical requirements into actionable data science solutions. Propose and implement optimized machine learning models and data-driven strategies. Ensure quality and scalability of AI/ML solutions. Required Qualifications: Strong background in machine learning, deep learning, and data science. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large-scale data processing and model deployment. Excellent problem-solving and communication skills. Prior experience in leading data science teams or projects. Preferred Skills: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps practices and tools. Knowledge of computer vision or NLP is a plus.

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling RPython SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensiveknowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statisticaltools like R Python Candidate will be expected to communicate analyticalresults in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities whereadvanced analytical techniques can be leveraged for solving business problems

Overall 15+ years of experience with minimum 5+ years in Pre-sales, technology evaluation, technical design, and architecture. Strong experience in technical capability presentation, pre-sales, proposal creation. Demonstrate a comprehensive understanding of various technologies, including legacy systems and cutting-edge solutions. Experience in consulting role, presenting technical information, strategic planning, customer interaction. Proven experience as Software and Solution Architect with Architectural patterns for High Availability, Performance, Scale Out architecture, Disaster Recovery, Security Architecture, Knowledge of cloud-based architectures deployment. Deep understanding and hands on experience in Open Source and/or Microsoft technologies, up to date on latest development in technical area Good working experience with API driven architecture, microservices, orchestration, DevOps (CI/CD), Messaging, and RDBMS/NoSQL/SearchEngine Deep understanding of Cloud native services - AWS/GCP/Azure implementation Thought leadership and special focus on scalable, reusable, robust, testable, efficient, and easily maintainable systems/solutions. Knowledge of Data Platform Analytics Knowledge of Zero Code/Low Code Automation Platforms Understanding of AI/ML, Deep Learning, NLP, Neural Network, Computer Vision.

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Build, deploy, and maintain machine learning models in production. Automate model training, evaluation, and monitoring pipelines. Collaborate with data engineers to ensure the availability of clean, high-quality data. Optimize model performance and computational efficiency. Document ML workflows and processes for scalability and reproducibility. Key Skills: Proficiency in Python, Scala, or Java. Experience with ML tools like TensorFlow, PyTorch, and MLflow. Familiarity with MLOps practices and tools like Docker, Kubernetes, and CI/CD pipelines. Strong problem-solving and analytical skills Machine Learning,Python,Scala,Java

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Data Science AI Architect to steer development of AI driven products The person in the role is required to develop architecture using AI (Machine Learning, Deep Learning) as well as Gen-AI (across prompt engineering, RAG and Fine Tuning across LLM, VLM and Multi-Modal models, both open-source as well as paid) The person in the role works closely with Principal/Chief architect, Product Managers, Delivery Manager, UI/UX developers and other developers for sprint planning and overall delivery Have a good understanding of ML Engineering and ML Ops concepts to deploy products in a multi-cloud environment

We are seeking a talented and motivated Data Scientist with 1-3 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets, we want to hear from you. As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights. Your work will directly influence business strategy, product development, and campaign optimization. Major Responsibilities: Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems. Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance. Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights. Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks. Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes. Evaluate and improve model performance, calibration, and deployment strategies for real-time applications. Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets. Conduct A/B testing and other experimental designs to validate model performance and business strategies. Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings. Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP). Required Experience/Skills: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 1-3 years of experience in data science or machine learning roles. Strong proficiency in Python for machine learning, data analysis, and deep learning applications. Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms. Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred). Advanced SQL skills for data querying and manipulation from large datasets. Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker. Strong understanding of A/B testing, statistical tests, experimental design, and methodologies. Experience in clustering, segmentation, and other unsupervised learning techniques. Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with data warehousing concepts and big data tools. Knowledge of MLOps practices, including model deployment, monitoring, and management. Experience with business intelligence tools and creating data-driven dashboards. Understanding of reinforcement learning, natural language processing (NLP), or other advanced AI techniques. Education: Bachelor of Engineering or similar degree from any reputed University.

Research and Problem-Solving: Identify and frame business problems, conduct exploratory data analysis, and propose innovative data science solutions tailored to business needs. Leadership & Communication: Serve as a technical referent for the research team, driving high-impact, high-visibility initiatives. Effectively communicate complex scientific concepts to senior stakeholders, ensuring insights are actionable for both technical and non-technical audiences. Mentor and develop scientists within the team, fostering growth and technical excellence. Algorithm Development: Design, optimize, and implement advanced machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques. End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications. Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments. A/B Testing and Validation: Design and execute experiments, including A/B testing, to validate model effectiveness and business impat. Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms (e.g., GCP) to process and analyze large datasets. Collaboration and Mentorship: Work closely with engineering, product, and campaign management teams, while mentoring junior data scientists in best practices and advanced techniques. Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders. Required Experience/Skills 5–8 years of hands-on experience in data science or machine learning roles. 2+ years leading data science projects in AdTech Strong hands-on skills in Advanced Statistics, Machine Learning, and Deep Learning. Demonstrated ability to implement and optimize neural networks and other advanced ML models. Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch. Expertise handling large datasets using advanced SQL and big data tools like BigQuery In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring. Strong background in A/B testing, statistical analysis, and experimental design. Proven capability in clustering, segmentation, and unsupervised learning methods. Strong problem-solving and analytical skills with a focus on delivering business value. Education: A Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

Acentra delivers a broad range of healthinformation technology enterprise solutions and customizable products to adiverse base of state and federal agencies. We align, build, and manageinnovative, high-quality, cost-effective solutions that help customers achievetheir mission, enhance business performance, reduce costs, and improve thehealth of over 50 million Americans. With locations throughout the U.S. and inIndia, Acentra employs a world-class team of technologists, healthcaresubject-matter experts, and program managers, all of whom have experience withlarge-scale mission-critical information technology implementations. Innovation and commitment to our missionare core to our DNA. And through our shared values, we foster an environment ofinclusion, empowerment, accountability, and fun! About the Job This position is for a Machine Learningexpert who is responsible for successful delivery of Acentra Health'stechnology initiatives. Candidates for this role will be working at theintersection of data science and software engineering, building, deploying, andoptimizing machine learning (ML) models and pipelines, with a strong emphasison large language models (LLMs), generative AI (GenAI), and natural languageprocessing (NLP). Will help improve patient outcomes and drive innovation andefficiency in healthcare. What you will do Design, develop, and implement ML models and algorithms to solvehealthcare-related problems, such as disease prediction, patient riskstratification, clinical decision support, and personalized medicine Exploreand implement state-of-the-art ML techniques, including supervised andunsupervised learning, deep learning, and NLP Develop and implement data cleaning, feature engineering, and dataaugmentation techniques to improve model performance and generalizability Evaluate and validate ML models using appropriate metrics andmethodologies, ensuring robustness, accuracy, and reliability Interpretand communicate model results to domain experts and stakeholders, providingactionable insights and recommendations Optimize models for performance, scalability, and real-timepredictions, considering computational constraints and regulatory requirements Design and develop innovative solutions using LLMs and foundationmodels to solve business problems and create operational efficiencies Lead the AI and ML development process and oversee CICD pipelines Document code, methodologies, and experimental results to ensurereproducibility and knowledge sharing Train junior level engineers and serve as a mentor for learningnew technologies, best practices, and company culture Collaborate with cross-functional teams, including datascientists, clinicians, researchers, and product managers, to translatebusiness requirements into technical solutions Stayabreast of the latest advancements in ML, AI, LLMs, healthcare informatics, andregulatory landscape to inform decision-making and drive innovation Who you are: Education : Bachelors degree in computer science, data science, or a relatedfield. 2+ Provenexperience and success as an ML Engineer. Technicalskills 2+ years of experience as a ML Engineer 2+ years of experience with object-oriented scripting languages, such as Python or R 2+ years of experience with developing ML models and NLP techniques 2+ years of experience with data preprocessing and feature engineering 2+ years of experience with LLMs and GenAI 1+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems Proven experience with successfully deploying solutions using LLMs and foundation models Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models Provenexperience successfully developing and deploying ML algorithms, statisticalanalysis, and data mining techniques Proven experience mentoring ML Engineers and colleagues Demonstrable experience developing innovative ideas and solutions Goodto have familiarity with healthcare data standards (e.g., HL7, FHIR),electronic health records (EHR), medical imaging formats (DICOM), and relevanthealthcare regulations (e.g., HIPAA) is highly desirable

At GreenStitch , we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives. The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs. You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitchs mission, values, and ethical standards. What Youll Do: AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency. Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges. Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities. Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements , rapidly prototype solutions, and iterate on ideas for continuous improvement . Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact , ensuring production readiness. Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions . Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals. Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders. What Youll Bring: Education: Bachelors/Masters degree in Data Science, Computer Science, AI, or a related field . Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning . Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks ( TensorFlow, PyTorch ), and cloud platforms ( Azure, AWS, GCP ). Software Development: Experience in Python, Java , or similar languages, and familiarity with MLOps tools . Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach. Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications. Collaboration & Communication: Strong ability to work with cross-functional teams , communicate complex ideas, and drive AI adoption. Why GreenStitch GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will: Work on high-impact AI projects that contribute to sustainability and decarbonisation. Be part of a dynamic and collaborative team committed to making a difference. Enjoy a flexible, hybrid work model that supports professional growth and work-life balance. Receive competitive compensation and benefits , including healthcare, parental leave, and learning opportunities .

Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs, RNNs, Transformers, GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO) Good To Have Skills Reinforcement learning or autonomous systems Edge AI or embedded ML deployments Big data technologies (Spark, Hadoop, SQL/NoSQL databases) CI/CD pipelines and version control (Git) MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) Cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML) Soft Skills Problem-solving skills Ability to translate business needs into AI solutions Mentorship capabilities Job application: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369