54 Model Training Jobs

We are seeking skilled Machine Learning Engineers to design, develop, and deploy advanced ML models focused on Agentic AI use cases, utilizing the AWS ecosystem. The role emphasizes end-to-end ML solutions, from data preprocessing and model development to deployment and ongoing monitoring, with a strong focus on scalability, performance, and cost-efficiency in production environments. Key Responsibilities: Design, develop, and deploy machine learning models tailored for Agentic AI applications in clinical and enterprise domains. Work extensively with the AWS AI/ML ecosystem, including SageMaker, Bedrock, Lambda, Step Functions, S3, DynamoDB, and Kinesis, to build scalable solutions. Perform data preprocessing and feature engineering on structured, unstructured, and streaming data to build high-quality training datasets. Collaborate with Data Engineering teams to ensure robust, well-curated datasets while maintaining PHI/PII safety and compliance. Implement fine-tuning of large language models (LLMs), embeddings, and retrieval-augmented generation (RAG) pipelines. Evaluate and optimize models focusing on accuracy, performance, scalability, and operational cost-effectiveness. Integrate ML models into production applications and expose them via APIs for seamless consumption. Work closely with MLOps teams to automate workflows for model training, testing, deployment, and continuous monitoring. Conduct experimentation, A/B testing, and rigorous model validation to guarantee performance and reliability. Document experiments, data pipelines, model architectures, and best practices to ensure reproducibility and knowledge sharing. Required Skills & Qualifications: 3+ years of hands-on experience in machine learning engineering, model development, and production deployment. Strong proficiency in Python, with expertise in libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow. Solid understanding of the full ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience working with AWS services for machine learning: SageMaker, Lambda, ECS/EKS, Step Functions, Bedrock, S3, and DynamoDB. Practical knowledge of large language models (LLMs), natural language processing (NLP), and vector embeddings. Proficient in developing APIs and deploying ML models as microservices in production environments. Experience in orchestrating ML pipelines using tools such as Airflow, Kubeflow, or MLflow. Familiarity with data versioning, experiment tracking, and model registry best practices. Strong SQL and NoSQL database skills, including experience with vector databases like Weaviate, Pinecone, or FAISS. Preferred Attributes: Experience in healthcare or regulated domains, ensuring compliance with industry standards. Excellent problem-solving skills, with a passion for experimentation, iteration, and delivering innovative AI solutions. Strong communication skills, capable of collaborating with cross-functional teams. Self-driven, with a focus on automating and improving ML workflows and processes.

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 ensemble techniques. - Evaluate model performance and improve accuracy, efficiency, and scalability. - Deploy ML models into production environments; monitor and retrain models as needed. - Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions. - Stay current with the latest trends in AI/ML and contribute to knowledge sharing. - Maintain thorough documentation of models, workflows, and processes. Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field - 6-10 years of industry experience in data science, machine learning, or related domains Must-Have Skills: - Experience in Time Series Forecasting, Regression, and Classification models - Proficient in Python, R, and Data Analysis - Strong experience with Pandas, NumPy, Matplotlib for large data handling - Version control tools like Git - ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras - Exposure to Cloud Platforms: AWS / Azure / GCP - Experience with Docker and Kubernetes - Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and Deployment Good to Have: - Exposure to Big Data tools such as Hadoop, Spark - BFSI / Banking domain experience - Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworks In addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed.,

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 AI solutions - Apply your analytical mind and strong math skills in statistics and algebra to solve complex business challenges - Work with common data science toolkits such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy, etc., with expertise in at least one being highly desirable - Leverage your experience in NLP, NLG, and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc., to drive transformative projects - Communicate effectively and present your findings with great clarity, thriving in a fast-paced team environment - Utilize AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR, etc., to scale your solutions - Apply your expertise in NoSQL databases such as MongoDB, Cassandra, HBase, Vector databases to handle large datasets effectively - Demonstrate a good understanding of applied statistics skills like distributions, statistical testing, regression, etc., to derive valuable insights for the business Qualifications Required: - More than 6 years of experience in Data Science and AI / ML domain - Excellent understanding of machine learning techniques and algorithms - Experience using business intelligence tools and data frameworks - Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset - Strong math skills (e.g., statistics, algebra) - Experience with common data science toolkits - Great communication and presentation skills - Experience with AIML and Big Data technologies - Experience with NoSQL databases Please note that the mentioned qualifications, skills, and experiences are mandatory for the role at LTIMindtree.,

Role Overview: You will be working as a Spec Analytics Analyst (C11) in the TTS Analytics team at Citi. Your main responsibilities will include working on various analyses throughout the year to solve business problems related to client acquisition, engagement, client experience, and retention within the TTS business. You will be involved in data science and business analytics projects, developing machine learning models, and communicating insights and recommendations to stakeholders. Key Responsibilities: - Work on multiple analyses throughout the year on business problems across the client life cycle including acquisition, engagement, client experience, and retention for the TTS business - Design, develop, and deploy machine learning models to address business needs - Communicate insights and recommendations to stakeholders - Leverage various analytical approaches, tools, and techniques to provide data-driven insights and machine learning solutions Qualifications Required: - Bachelor's or Master's Degree with 5-8 years of experience in data science and analytics - Marketing analytics experience - Experience in sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention - Strong understanding of machine learning principles, model development methodologies, and deployment strategies - Hands-on knowledge of Data Science and Machine Learning, including supervised and unsupervised learning algorithms - Experience with time series models, unstructured data analysis using NLP/Text Mining techniques, and building machine learning pipelines - Proficient in PySpark, SQL (Python/R), Scikit-learn, TensorFlow, PyTorch, MS Excel, PowerPoint - Good to have experience with Tableau and Hive Company Details (if present): The TTS Analytics team at Citi provides analytical insights to various functions within the global Treasury & Trade Services business. They focus on driving acquisitions, cross-sell, revenue growth, and improvements in client experience by extracting relevant insights, identifying business opportunities, building predictive models, and designing go-to-market strategies for different business problems.,

Roles and Responsibilities: Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud Communicate effectively with clients on brainstorming the solutions Conduct research and development majorly on AI/ML implementations Implement RAG architecture for confidential data use case Apply deep learning techniques and machine learning experience Fine tune LLM for optimal performance Develop and implement generative AI models using state-of-the-art techniques and frameworks Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities Train, evaluate, and fine-tune generative models using large datasets to achieve desired outcomes Optimize model inference and deployment pipelines for efficiency and scalability in production environments Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration Good to have - experience in healthcare and life sciences to relevant projects Leverage MLOps and LLMOps experience to optimize operations Act as a hands-on leader with GenAI and Machine Learning experience Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field 7+ years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud Strong programming skills in languages such as Python, with experience in data science Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures Good understanding of machine learning concepts, algorithms, and methodologies Experience with data preprocessing, model training, and evaluation using large-scale datasets Excellent problem-solving skills and the ability to work independently as well as part of a team Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders Experience in healthcare and life sciences is a plus Familiarity with MLOps, AiOps, and llmops is beneficial Good to have certifications in AI/ML or related fields

As an intern at Venera Technologies, you will have the opportunity to work on various data science projects in the video analytics domain. Your day-to-day responsibilities will include understanding data requirements and implementing effective data solutions. You will be responsible for data generation and data sanitization for model training using various methods and tools. Additionally, you will be tasked with model evaluation and assisting the team in fine-tuning the model parameters using various metrics and techniques. Your role will also involve applying statistical techniques for data analysis to derive meaningful insights. Venera Technologies is a renowned video solutions company recognized for its innovative products and solutions worldwide. Our automated QC solutions, "Pulsar" and "Quasar", are utilized by leading broadcast, post-production, and media companies such as Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, and Adstream. Furthermore, we have established partnerships with prominent technology firms including Aspera, Evertz, Netflix, and Telestream, who have seamlessly integrated with our products.,

As a Language Model Developer, your primary responsibility will be to develop and integrate Large Language Models (LLMs) into various applications. You will collaborate with stakeholders to ensure the design and development of cutting-edge language models that meet the project requirements. Your role will involve training and fine-tuning LLMs for specific Natural Language Processing (NLP) tasks using appropriate frameworks and tools. Your logical thinking abilities will be crucial in designing effective conversational flows to enhance the user experience within chatbot interactions. In addition, you will be expected to stay updated with the latest advancements in NLP, LLM, and Machine Learning (ML) fields. Your proactive approach to identifying opportunities for incorporating new technologies into solutions will be highly valued. If you are passionate about language models, enjoy working on innovative projects, and possess a strong analytical mindset, this role offers an exciting opportunity to contribute to the research and development of state-of-the-art language models.,

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 Learning, Azure OpenAI Service, Cognitive Services, Data Factory, and Synapse Analytics . Develop custom AI solutions for NLP, computer vision, and multimodal applications. Integrate GenAI capabilities into enterprise applications using APIs and frameworks. Ensure model governance, security, and compliance in Azure environments. Mentor junior team members and provide technical leadership in AI/ML projects. Stay updated on emerging AI/GenAI trends and Azure AI services . Required Skills Programming: Python (Pandas, NumPy, Scikit-learn), PyTorch/TensorFlow. AI/ML Expertise: Deep learning, NLP, LLM fine-tuning, prompt engineering, generative models. GenAI Tools: Hugging Face, LangChain, Azure OpenAI Service. Azure Cloud: Azure Machine Learning, Azure OpenAI, Cognitive Services, Data Factory, Synapse, Azure Functions. Data Handling: SQL, NoSQL, data lakes, ETL pipelines. MLOps: CI/CD for ML, model deployment, monitoring. Strong understanding of statistics, probability, and optimization techniques .

As a highly skilled and experienced Senior Data Scientist specializing in US Healthcare data, you will be responsible for leading and managing data science development projects with external teams. Your primary focus will be on ensuring the successful execution of these projects while maintaining high-quality standards. Your expertise will be crucial in providing guidance, resolving technical challenges, and deriving actionable insights from US healthcare data. Your responsibilities will include project management, technical expertise, US healthcare data analysis, compliance with healthcare regulations, knowledge of interoperability standards, collaboration with internal and external teams, model training and evaluation, deployment and monitoring of data science solutions, as well as maintaining comprehensive documentation throughout the project lifecycle. To excel in this role, you should possess a degree in Data Science, Computer Science, Statistics, or a related field, along with proven experience as a Senior Data Scientist focusing on US healthcare data. You should have in-depth knowledge of US healthcare data sources, proficiency in programming languages like Python or R, experience with data science libraries and frameworks, and a strong understanding of healthcare regulations and compliance requirements. Additionally, familiarity with interoperability standards such as Fast Healthcare Interoperability Resources (FHIR), analytical and problem-solving skills, attention to detail, self-motivation, proactive attitude, organizational skills, and time management abilities are essential qualities for success in this role. Your commitment to delivering high-quality work and the ability to work independently and manage multiple projects simultaneously will be paramount.,

You will implement proof of concepts in Engineering Systems and other innovation field topics where ML / AI technologies can be applied, as well as realize ML / AI product features. Your responsibilities will include coding features, POCs, and/or bug-fixing to deliver solutions adhering to coding and quality guidelines. Additionally, you will be accountable for the implementation of features and bug-fixing, ensuring timely delivery of high-quality solutions. Your role will involve identifying and implementing unit and integration tests to ensure that the solution meets customer requirements and quality and security standards of the product. You will also ensure the integration and submission of solutions into the software configuration management system within the committed delivery timelines. Experience with Large Language Models (LLMs) such as BERT and LLAMA will be beneficial. You will be involved in Language Model Development by utilizing off-the-shelf LLM services like Azure OpenAI for integrating LLM capabilities into applications and developing new language models. Model Training and Evaluation will also be part of your responsibilities, involving training and fine-tuning language models using appropriate machine-learning frameworks and tools. Education: B.E. / B. Tech / MCA/ M. Tech (Computer Science). Experience: - 3+ years of experience in: - Strong programming ability in scripting and object-oriented programming languages, particularly Python. - Strong working knowledge in Deep learning and ML Algorithms. - Strong working knowledge in Tensor Flow, Sci-kit Learn, KERAS, Caffe, Pandas, NumPy, PyTorch, Matplotlib. - Knowledge in Natural Language Processing (NLP) & Deep Learning. - Software Design & Development - OOPS/OOAD methodologies.,

July 16, 2025 admin Interns Gen AI & ML Full Time Chennai Posted 2 months ago We are inviting enthusiastic interns to work on real-world projects in Generative AI and Machine Learning. This role offers hands-on exposure to AI models, prompt engineering, and data pipelines in a practical, team-driven environment. Experience: 01 Year Skills Basic knowledge of Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Familiarity with LLMs, NLP, or Gen AI concepts. Understanding of data preprocessing, model training, and evaluation. Eagerness to learn, research, and experiment with new AI trends. Responsibilities & Required Skills Support development of Gen AI prototypes and ML models. Work with datasets to clean, preprocess, and feed into models. Collaborate with AI engineers on prompt tuning and performance testing. Document findings, results, and experiment logs. Stay updated on recent Gen AI advancements and tools. Job Features Job Category AI & Data Science / Internship No of Positions 6 Experience 01 Year Location Chennai Employment Type Internship Apply For This Job Name* Email* Phone* United States+1 United Kingdom+44 Afghanistan (????????????)+93 Albania (Shqipri)+355 Algeria (??????????)+213 American Samoa+1 Andorra+376 Angola+244 Anguilla+1 Antigua and Barbuda+1 Argentina+54 Armenia (????????)+374 Aruba+297 Australia+61 Austria (sterreich)+43 Azerbaijan (Az?rbaycan)+994 Bahamas+1 Bahrain (??????????)+973 Bangladesh (????????)+880 Barbados+1 Belarus (????????)+375 Belgium (Belgi)+32 Belize+501 Benin (Bnin)+229 Bermuda+1 Bhutan (?????)+975 Bolivia+591 Bosnia and Herzegovina (????? ? ???????????)+387 Botswana+267 Brazil (Brasil)+55 British Indian Ocean Territory+246 British Virgin Islands+1 Brunei+673 Bulgaria (????????)+359 Burkina Faso+226 Burundi (Uburundi)+257 Cambodia (???????)+855 Cameroon (Cameroun)+237 Canada+1 Cape Verde (Kabu Verdi)+238 Caribbean Netherlands+599 Cayman Islands+1 Central African Republic (Rpublique centrafricaine)+236 Chad (Tchad)+235 Chile+56 China (??)+86 Christmas Island+61 Cocos (Keeling) Islands+61 Colombia+57 Comoros (???? 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We are seeking an AI specialist with over 3 years of experience to develop and implement AI solutions, primarily focusing on Java. The ideal candidate will have a strong proficiency in Java-based AI development, while experience in Python is also valued. In this role, you will be responsible for designing intelligent agents and applying cutting-edge machine learning techniques to address complex business challenges. Your main responsibilities will include designing, building, and deploying AI agents using Java to automate decision-making processes. You will utilize frameworks such as LangChain, LlamaIndex, and other advanced AI frameworks, ensuring smooth integration into Java applications. Additionally, you will work hands-on with machine learning toolkits, leveraging Java-based libraries for AI development. It is essential to have a deep understanding of machine learning concepts and apply them to real-world problems using Java. Furthermore, you will focus on ensuring data and application security in the AI pipeline, as well as leading efforts in model selection, training, and optimization within Java-based frameworks. Thorough evaluation and testing of AI models to ensure effectiveness and scalability in Java-based applications are also key responsibilities. Collaboration with Data Engineers to refine training datasets and contribute to AI/ML operations for deploying and managing models in production environments will be essential. Qualifications for this role include a Bachelor's degree in Engineering, along with at least 3 years of experience as an AI Engineer or similar role. You should have proven experience with AI agents, a strong proficiency in Java for AI development, and familiarity with popular AI frameworks. Experience with machine learning toolkits and a solid understanding of model training, fine-tuning, and evaluation processes within a Java-based environment are also required. Skills in MLOps or AI model deployment and management in Java-based environments are considered a plus. Preferred Skills: - Excellent problem-solving abilities with a focus on innovative AI-driven solutions in Java. - Strong programming skills in Java (required) and Python (preferred). - Familiarity with cloud environments and deploying AI/ML solutions on platforms such as AWS, GCP, or Azure.,

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 support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. If you are keen to work on analytical problem solving, then work in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients. We are open for the Delhi location as well along with Hyderabad. Responsibilities: - Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data - Communicate results to clients and onshore team members - Develop client relationships and serve as an offshore key point of contact for the project - Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress - Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability - Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world - Verifying data quality, and/or ensuring it via data cleaning - Supervising the data acquisition process if more data is needed - Defining validation strategies - Defining the preprocessing or feature engineering to be done on a given dataset - Defining data augmentation pipelines - Training models and tuning their hyperparameters - Analyzing the errors of the model and designing strategies to overcome them - Knowledge on Deep learning techniques is an added advantage - Deploying models to production - Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills - Process automation using SQL/Python/Other available technologies/ETL Tools etc Qualifications: - Bachelors or Masters in Engineering - 1-8 years of pharma / life science consulting job experience - High motivation, good work ethic, maturity, and personal initiative - Strong oral and written communication skills - Strong excel and PowerPoint skills - Adherence to client specific data privacy and compliance policies - Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.,

Team: Product & Engineering (Data/AI) Reports to: Head of Product (dotted line to Head of Engineering) Type: Full-time Role Purpose Build, deploy, and maintain the AI/ML stack powering our EMRclinical NLP/LLM, decision support, and voice scribing. Own end-to-end data engineering, model training, and MLOps with healthcare compliance baked in (PDPA, HIPAA, ISO 27799). What Youll Do Data Platform & Pipelines Architect and operate pipelines for structured/unstructured clinical data (EHR notes, HL7 v2, FHIR, audio). Build/maintain the feature store for clinical AI (labs, meds, allergies, vitals, orders) with lineage & versioning. Implement PHI de-identification/re-identification, KMS-backed encryption, DUAs, and access controls. Clinical NER & Code Mapping (core accountability) Own the extraction + normalization stack for: problems/diagnoses, symptoms/findings, medications ( with attributes ), labs, orders, allergies. Ship a hybrid extractor (transformer NER + rules) with assertion (present/absent/etc.) and temporality . Build a medication attribute parser (dose, unit/UCUM, route, frequency, duration, PRN, instructions). Implement a two-stage entity linker (candidate gen via lexicon/vector search + cross-encoder rerank) to SNOMED CT, RxNorm, LOINC ; manage crosswalks to ICD-10/CPT and local catalogs. Operate ontology ops : version pinning, diffs, UMLS/SNOMED licensing, regression tests per ontology release. Enforce safety guards (drugallergy, duplicate therapy, dose range) and confidence-driven UI disambiguation. Modeling, LLMs & Scribing Build RAG/LLM pipelines for summarization, CDS, and scribe workflows (prompting, tool use, retrieval, guardrails). Integrate ASR + diarization with streaming partials/hotwords for clinical terms and names. MLOps, Reliability & Cost Stand up MLOps: model registry, experiment tracking, CI/CD, canary/shadow deploys, drift & safety monitoring, blue/green rollbacks. Meet SLOs: p95 speechdraft less than 2.0s , ASR partial updates every 300500ms , 99.9% uptime, rollback less than 5 min . Optimize inference (Triton/ONNX Runtime, quantization/distillation, caching) and track cost per encounter . EHR Integration & APIs Ship SMART on FHIR apps and CDS Hooks; design gRPC/REST services; run Kafka/PubSub with idempotent consumers. Security, Privacy & Compliance PHI-safe prompts/logs, prompt-injection & data-exfiltration guards, constrained tool allowlists. Audit trails exportable for clinical review & compliance. Collaboration Partner with Product & Clinical to encode guidelines/rules alongside ML. Mentor engineers; uphold code quality, reviews, and on-call. Required Qualifications 4+ years Data/ML Engineering (healthcare strongly preferred). Expert: Python , SQL , PyTorch/TensorFlow , Hugging Face . Deep NLP/LLM (transformers, RAG, prompt engineering, guardrails). Standards: FHIR/HL7 , SNOMED CT, ICD-10, RxNorm , LOINC , CPT; UMLS familiarity. MLOps (MLflow/Kubeflow/Vertex/SageMaker), containerized inference, CI/CD. Privacy/security in regulated environments (PDPA/HIPAA/ISO 27799). Nice to Have ASR/diarization (Whisper, Vosk, Kaldi), ONNX/TensorRT, Triton; gRPC/WebRTC streaming. GPU scheduling, vector DBs, OpenTelemetry, Terraform/IaC. Success Metrics (you own) NER micro-F1 0.92 (per-type 0.88 ). Linking top-1: SNOMED/RxNorm/LOINC 0.95 (top-5 0.99 ). Med attributes exact-match 0.93 ; UCUM unit validity 0.99 . Safety : drugallergy recall greater than 99% , precision greater than 95% . Latency/Reliability : p95 speechdraft less than 2.0s ; streaming extraction p95 less than 200ms /chunk; 99.9% uptime. ASR clinical WER 12% ; partial stability 0.90 . Cost per encounter within target.

Team: Product & Engineering (Data/AI) Reports to: Head of Product (dotted line to Head of Engineering) Type: Full-time Role Purpose Build, deploy, and maintain the AI/ML stack powering our EMRclinical NLP/LLM, decision support, and voice scribing. Own end-to-end data engineering, model training, and MLOps with healthcare compliance baked in (PDPA, HIPAA, ISO 27799). What Youll Do Data Platform & Pipelines Architect and operate pipelines for structured/unstructured clinical data (EHR notes, HL7 v2, FHIR, audio). Build/maintain the feature store for clinical AI (labs, meds, allergies, vitals, orders) with lineage & versioning. Implement PHI de-identification/re-identification, KMS-backed encryption, DUAs, and access controls. Clinical NER & Code Mapping (core accountability) Own the extraction + normalization stack for: problems/diagnoses, symptoms/findings, medications ( with attributes ), labs, orders, allergies. Ship a hybrid extractor (transformer NER + rules) with assertion (present/absent/etc.) and temporality . Build a medication attribute parser (dose, unit/UCUM, route, frequency, duration, PRN, instructions). Implement a two-stage entity linker (candidate gen via lexicon/vector search + cross-encoder rerank) to SNOMED CT, RxNorm, LOINC ; manage crosswalks to ICD-10/CPT and local catalogs. Operate ontology ops : version pinning, diffs, UMLS/SNOMED licensing, regression tests per ontology release. Enforce safety guards (drugallergy, duplicate therapy, dose range) and confidence-driven UI disambiguation. Modeling, LLMs & Scribing Build RAG/LLM pipelines for summarization, CDS, and scribe workflows (prompting, tool use, retrieval, guardrails). Integrate ASR + diarization with streaming partials/hotwords for clinical terms and names. MLOps, Reliability & Cost Stand up MLOps: model registry, experiment tracking, CI/CD, canary/shadow deploys, drift & safety monitoring, blue/green rollbacks. Meet SLOs: p95 speechdraft less than 2.0s , ASR partial updates every 300500ms , 99.9% uptime, rollback less than5 min . Optimize inference (Triton/ONNX Runtime, quantization/distillation, caching) and track cost per encounter . EHR Integration & APIs Ship SMART on FHIR apps and CDS Hooks; design gRPC/REST services; run Kafka/PubSub with idempotent consumers. Security, Privacy & Compliance PHI-safe prompts/logs, prompt-injection & data-exfiltration guards, constrained tool allowlists. Audit trails exportable for clinical review & compliance. Collaboration Partner with Product & Clinical to encode guidelines/rules alongside ML. Mentor engineers; uphold code quality, reviews, and on-call. Required Qualifications 4+ years Data/ML Engineering (healthcare strongly preferred). Expert: Python , SQL , PyTorch/TensorFlow , Hugging Face . Deep NLP/LLM (transformers, RAG, prompt engineering, guardrails). Standards: FHIR/HL7 , SNOMED CT, ICD-10, RxNorm , LOINC , CPT; UMLS familiarity. MLOps (MLflow/Kubeflow/Vertex/SageMaker), containerized inference, CI/CD. Privacy/security in regulated environments (PDPA/HIPAA/ISO 27799). Nice to Have ASR/diarization (Whisper, Vosk, Kaldi), ONNX/TensorRT, Triton; gRPC/WebRTC streaming. GPU scheduling, vector DBs, OpenTelemetry, Terraform/IaC.

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning models, not just utilizing APIs or pre-built models. - Proficiency in machine learning frameworks like TensorFlow, PyTorch, Keras, or similar. - Strong programming skills in Python, including experience with libraries such as NumPy, pandas, scikit-learn, and others. - Experience in training and fine-tuning machine learning models using authentic datasets. - Knowledge of machine learning algorithms, model evaluation, and feature engineering. - Hands-on experience in data preprocessing, model optimization, and hyperparameter tuning. - Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is advantageous. Responsibilities: - Design, create, and deploy customized machine learning models tailored to specific business challenges. - Train, optimize, and validate machine learning models using real-world data sets and advanced methodologies. - Collaborate with interdisciplinary teams to comprehend requirements and provide AI-driven solutions. - Establish and manage end-to-end machine learning pipelines from data preprocessing to model deployment. - Continuously enhance the performance, scalability, and reliability of AI models in production settings. - Conduct model evaluations and determine the most efficient models for practical applications. - Ensure thorough documentation of model development processes and outcomes. - Stay updated on industry trends, algorithms, and emerging technologies in the realm of machine learning and AI.,

At Franklin Templeton, were driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise thats both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients achievements. Come join us in delivering better outcomes for our clients around the world! What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research And Proof-of-Concept Work The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, theres a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for lifes adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employees dependents (spouses, children and dependent parents) Life insurance for protection of employees families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to [HIDDEN TEXT]. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response. 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As a global SaaS firm dedicated to democratizing visual content creation for ecommerce sellers worldwide, Dresma leverages AI-driven technologies to empower online sellers in generating professional eCommerce images efficiently and cost-effectively. At Dresma, we are passionate about innovation and are currently looking for a talented and creative AI Image Generation Specialist to join our team. In this role, you will be responsible for utilizing AI-driven image generation tools such as Stable Diffusion, Midjourney, and DALL-E to create high-quality and visually appealing images. Your expertise will be instrumental in shaping the visual direction of our products, projects, or client work. The ideal candidate will possess a unique blend of technical proficiency, artistic vision, and a deep understanding of AI models. Key Responsibilities: - AI Image Creation & Fine-Tuning: Utilize generative AI tools to produce visually stunning images. - Model Training & Customization: Fine-tune and adapt existing models to suit specific project requirements. - Creative Collaboration: Collaborate with designers, engineers, and other stakeholders to create visuals that align with project vision. - Image Processing & Enhancement: Enhance generated images through post-processing techniques to meet specific requirements. - Exploring New AI Capabilities: Stay updated on the latest AI image generation developments to enhance the quality of generated imagery. - Documentation & Reporting: Document technical processes, workflows, and communicate results to the team. - Creative Problem Solving: Address challenges in the image generation process and develop innovative solutions. Qualifications: - Experience: Hands-on experience with AI tools like Midjourney, DALL-E, and Stable Diffusion for image generation. - Design or Technical Background: Degree or experience in graphic design, visual arts, computer science, or related fields. - Strong Portfolio: Showcase a diverse portfolio of AI-generated images demonstrating creativity and quality. If you are excited about the opportunity to work with cutting-edge AI technologies and contribute to innovative visual content creation, we encourage you to share your profile with us at Deepak.dua@dresma.com. Join us at Dresma and be part of a dynamic team revolutionizing visual content creation in the ecommerce industry.,

As a member of the Oracle Cloud Infrastructure (OCI) team, you play a vital role in shaping the future of cloud services for Enterprises. Working alongside a diverse group of creators and innovators, you embody the agility and innovation of a startup while benefiting from the resources and customer-centric approach of a global enterprise software leader. At OCI, our core values guide our every action and drive us towards excellence. We prioritize equity, inclusion, and mutual respect in all aspects of our work. Committed to creating products that contribute to the greater good, we continuously seek growth opportunities for both our careers and personal development. Within our team, we foster an environment where individuals are empowered to reach their full potential. In this position within the OCI AI Platform solutions and services organization, you will tackle complex challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. Your role will involve developing cloud services and tools that support various stages of the data-centric AI and machine learning lifecycle, including data ingestion, synthetic data generation, data labeling, benchmarking, model training, and ML data infrastructure. These services cater to internal and external customers seeking to process machine learning data related to Vision, Language, Speech, and other AI domains. As an integral part of our team, you will collaborate with a group of highly intelligent, motivated, and diverse individuals. You will have the autonomy and support necessary to deliver your best work in a dynamic and flexible work environment that fosters belonging and encourages personal growth. This position corresponds to the IC3 career level, offering opportunities for advancement and professional development within the OCI AI Platform solutions and services organization.,

As an AIML Engineer with 4+ years of experience located in Bopal, Ahmedabad (on-Site), your main responsibilities will include designing, developing, and implementing AIML solutions to address complex business challenges. You will collaborate closely with cross-functional teams to grasp project requirements and seamlessly integrate AIML capabilities into existing systems. Your core focus will be on Algorithm Development, where you will create and deploy machine learning algorithms for tasks such as natural language processing and sentiment analysis. Your expertise will be crucial in fine-tuning and optimizing these algorithms to enhance performance and accuracy. In the realm of Data Processing and Analysis, you will be expected to preprocess and analyze extensive datasets to uncover valuable insights and patterns. Working alongside data engineers, you will ensure the quality and integrity of the data being used. Model Training and Evaluation will be another key area of your role. You will be responsible for training machine learning models using relevant frameworks and libraries, evaluating their performance, and continuously refining and enhancing them. Integration and Deployment will be a significant part of your duties, involving the seamless integration of AIML solutions into existing applications and systems. Collaboration with software developers is essential to deploy these models effectively in production environments. Your role will also entail thorough Documentation practices, where you will document code, algorithms, and models for future reference and collaboration. Additionally, you will prepare technical documentation for end-users and stakeholders to ensure transparency and understanding. Staying Updated on Industry Trends is crucial in this dynamic field. You will be expected to keep yourself informed about the latest developments in AIML and related technologies, incorporating emerging trends and best practices to optimize existing solutions and stay ahead of the curve.,

The Cisco Security AI team is dedicated to delivering AI products and platforms for all Cisco secure products and portfolios, enabling businesses worldwide to defend against threats and protect critical aspects of their operations with security resilience. We are committed to enhancing business security and simplifying security measures through the use of AI and Machine Learning. We are currently looking for a talented Machine Learning Engineer who can contribute significantly to the cybersecurity industry. As an accomplished and forward-thinking Senior Machine Learning Engineer, you have a proven track record of leading teams and designing machine learning solutions that have had a substantial impact. Your passion for machine learning is evident through your successful development and implementation of models that effectively address real-world challenges. You possess deep knowledge of LLM Architecture, including a comprehensive understanding of large language models such as Transformer-based models like GPT and their variations. Your expertise extends to Language Model Training and Fine-Tuning, Data Preprocessing for NLP, Transfer Learning and Adaptation, Handling Ambiguity and Context in Text, Application of LLMs, Data Annotation and Evaluation, as well as Scalability and Deployment. In your role, you will be responsible for tasks such as Model Training, Optimization, and Evaluation, Algorithm Development for Enhanced Language Understanding, Applying LLMs to Cybersecurity, Deployment Strategy, Documentation and Best Practices, Experimentation with Emerging Technologies and Methods, and Mentoring and Cross-Functional Collaboration. Basic qualifications for this position include a BA/BS degree with 7+ years of experience or an MS degree with 5+ years of experience as a machine learning engineer. You should have solid experience in machine learning engineering, a strong portfolio of successful projects, and expertise in building machine learning systems and scalable solutions. Proficiency in machine learning algorithms, deep learning, and statistical modeling is also essential. Preferred qualifications include an advanced degree in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field, proficiency in programming languages such as Python or R, experience with machine learning libraries like TensorFlow, PyTorch, scikit-learn, excellent problem-solving and communication skills, and a proven ability to work collaboratively in cross-functional teams.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Consultant, AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquos business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients%27 business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow , MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client&rsquos analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

???? AI & Machine Learning Internship Opportunity (Remote, 45Days - Unpaid) ???? ? No thousands of registration fees, no thousands joining fees, no course purchases in the name of internship this is a 100% skill development program with real hands-on experience in AI & ML! ???? Location: Remote? Duration: 45 DAYS??? Compensation: Unpaid???? Eligibility: Open to all 1st, 2nd, 3rd, and 4th Year Students, as well as Recent Graduates. ???? About the Internship:Elevate Labs brings you a golden opportunity to explore the dynamic world of Artificial Intelligence and Machine Learning . In this 1-month remote internship, youll work on real-world datasets, train machine learning models, and understand the core concepts of AI all through hands-on projects and mentorship. ???? This is a pure skill-building internship no fees, no fluff, just learning, coding, and career growth . ? What Youll Gain: ?? MSME Registered and skill India recognized Internship Certificate ?? Letter of Recommendation (LOR) for top performers ?? Top Performer Badge to enhance your resume and LinkedIn ?? Opportunity for a Full-Time Role Top 10 performers will be considered ???? Who Should Apply Students from any year (1st4th) Recent Graduates Enthusiasts in AI, ML, Python, Deep Learning, Data Science, or Model Training ???? Skills Youll Practice: Python Programming for AI Data Pre-processing & Feature Engineering Supervised & Unsupervised Machine Learning Models Model Training, Evaluation & Optimization Real-time Project Implementation Basics of Neural Networks Tools: Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn ???? Ready to kickstart your AI journey This is your chance to learn, apply, and shine . Show more Show less

Skills Required: ML Engineer Strong Python programming skills Hands-on experience with TensorFlow, especially in training custom models/modules Experience working with OpenAI's Whisper ASR (Automatic Speech Recognition) model Following is the skillset: Primary Skills - Llama, Whisper, DistilBert, Spacy, any document database, any vector database, model training and finetuning Secondary Skills TensorFlow, any agentic framework

About the role You will be part of a team that is dedicated to developing AI-powered solutions for the media industry, ranging from intelligent workflow automation to smart content analysis and creative assistance. Your primary responsibility will be to work with cutting-edge AI models, conduct research, train, adapt, and integrate them into tools that address real challenges within the media sector. Your tasks will involve working across various AI domains, constructing systems that aid our teams in generating, organizing, processing, and delivering media content more efficiently and effectively. What you'll do - Research and assess state-of-the-art AI/ML models suitable for diverse media workflows. - Train, fine-tune, and adjust models to fulfill accuracy, speed, and scalability requirements. - Incorporate APIs and custom-trained models into end-to-end automated pipelines. - Create orchestration flows, for instance, using n8n, to manage multi-step processes from input to output. - Develop dashboards and interfaces to oversee, control, and optimize AI-driven tasks. - Implement authentication, job tracking, logging, and error-handling systems. - Collaborate closely with media operations and product teams to pinpoint automation opportunities. What you bring We are seeking an individual with the following qualifications: - Proficient in Python with a proven track record of developing maintainable, production-ready code. - Experience working with AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies. - Skilled in model training, fine-tuning, and evaluation. - Familiarity with AI APIs like OpenAI, Anthropic, Hugging Face, etc. - Hands-on experience with workflow automation tools such as n8n, Airflow, or similar platforms. - Knowledge of Docker, asynchronous programming, cloud services, and API security. Why join us This is an opportunity to: - Influence the development of AI tools for the future of media technology. - Be part of a small, dynamic team where your work has a fast turnaround time. - Make a direct impact on creative, operational, and technical workflows. - Have the freedom to explore and experiment with state-of-the-art AI solutions.,