1435 Deep Learning Jobs - Page 38

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready pipelines, ensuring the integration of generative AI models into solutions, and exploring various AI methodologies such as deep learning and neural networks. You will also work on enhancing user experiences through chatbots and image processing technologies, contributing to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.- Evaluate and implement best practices in AI and machine learning to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of cutting-edge AI/ML solutions.- Stay updated on the latest AI/ML trends and technologies.- Mentor junior team members in AI/ML best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models, cucumber, eclipse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models, PL/SQL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems using AI tools and Cloud AI services.- Implement deep learning and neural networks in solutions.- Create chatbots and work on image processing tasks.- Collaborate with team members to provide innovative solutions.- Stay updated with the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information:- The candidate should have a minimum of 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : Java, J2EE, Servlet and JSP LiMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop applications and systems using AI tools and Cloud AI services.- Implement deep learning and neural networks in solutions.- Create chatbots and work on image processing tasks.- Collaborate with team members to provide innovative solutions.- Stay updated with the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques including data cleaning, transformation, and normalization. Additional Information:- The candidate should have a minimum of 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Role & responsibilities As an AI developer specializing in Deep Learning techniques, you will be involved in the design and development of custom, low-footprint, deep learning models tailored to specific ADAS use cases. The ideal candidate will have hands on experience building scalable, efficient, and cost-effective AI solutions, particularly with custom deep learning models, and will play a key role in porting and optimizing these applications on to edge devices such as TI TDA4x. Preferred candidate profile Experience working on Python C++ Hands on experience working on Machine Learning, Deep Learning models Experience working on frameworks data collection, data preparation, model training, validation, and deployment.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgeminis activity. Is able to manage difficult and complex situations calmly and professionally. Considers the bigger picture when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Responsible for helping the company leverage data, working with the team of data scientists and engineers to provide valuable direction and make informed decisions concerning the product, growth, and engagement Skills (competencies)

Mondel z International is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Fusion Software Institute Kharadi Pune is looking for Data Science with AI Trainer to join our dynamic team and embark on a rewarding career journey. The AI Trainer is responsible for creating and delivering training programs to enable individuals and organizations to leverage AI technologies effectively This role involves designing curriculum, conducting training sessions, and providing ongoing support to ensure successful AI adoption Key Responsibilities:Curriculum Development:Design comprehensive training materials, including manuals, presentations, and hands-on exercises, to cover various aspects of AI concepts, tools, and applications Keep content updated with the latest advancements and industry best practices in AI Training Delivery:Conduct engaging and informative training sessions for diverse audiences, including developers, data scientists, business professionals, and other stakeholders Utilize a variety of teaching methods, such as lectures, workshops, and hands-on exercises, to accommodate different learning styles Customization:Tailor training programs to meet the specific needs of different groups or organizations, considering their industry, skill levels, and objectives Feedback and Assessment:Gather feedback from trainees to continuously improve training materials and delivery methods Develop and administer assessments to evaluate the effectiveness of the training programs Support and Consultation:Provide ongoing support to trainees, answering questions and addressing challenges they encounter during the application of AI technologies Offer consultation services to help organizations integrate AI into their existing workflows and projects Stay Current:Stay abreast of the latest trends, tools, and technologies in the field of AI to ensure the training content remains relevant and up-to-date

We are seeking a talented and innovative Generative AI Specialist to join our team in Bengaluru, Karnataka, India. As a key member of our AI division, you will be at the forefront of developing cutting-edge generative AI solutions that push the boundaries of whats possible in machine learning and artificial intelligence. Design, develop, and implement state-of-the-art generative AI models and algorithms Collaborate with cross-functional teams to integrate AI solutions into existing products and services Conduct research on the latest advancements in generative AI and propose new applications Optimize model performance, scalability, and efficiency Develop and maintain documentation for AI models and processes Participate in code reviews and contribute to best practices in AI development Mentor junior team members and share knowledge on generative AI techniques Analyze complex datasets and extract meaningful insights to improve AI models Address ethical considerations and ensure responsible AI development practices Qualifications Masters or Ph.D. in Computer Science, Machine Learning, or a related field 3+ years of experience in AI/ML development with a focus on generative models Strong programming skills in Python

We are seeking a passionate and experienced Data Science Trainer to develop and deliver comprehensive training programs in data science and related fields As a Data Science Trainer, you will play a crucial role in shaping the next generation of data scientists by imparting industry-relevant knowledge and skills

About the role You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria Provide technical direction for projects. Break down business requirements into work for the team to execute on. Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business,product, and recommender system objectives Lead routine projects with manageable risks and resource requirements Deliver AI/ML solutions using emerging technologies for multiple products or complex projects with minimal guidance Train and mentor colleagues Explain difficult concepts and influence others to adopt a point of view for ideas and initiatives Craft and sustain technical outputs such as design documentation and representative models. Design and develop control logic for end-to-end AI-based solutions Lead the design and development of Proof of Concepts and complex AI/ML solutions Improve operations by conducting systems analysis and recommend policy changes About You You are a fit for the role of Lead Machine Learning Engineer if you meet all or most of these criteria Over 5 years of experience with machine learning, especially Recommender Systems. Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. At least 2 years with cloud technologies (preferably AWS). Proficient in Python, SQL, and data modeling; DBT is a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras. Experience leading engineering teams. Creative problem-solving skills. #LI-HG1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

We are seeking a talented and innovative Generative AI Specialist to join our team in Bengaluru, Karnataka, India. As a key member of our AI division, you will be at the forefront of developing cutting-edge generative AI solutions that push the boundaries of whats possible in machine learning and artificial intelligence. Design, develop, and implement state-of-the-art generative AI models and algorithms Collaborate with cross-functional teams to integrate AI solutions into existing products and services Conduct research on the latest advancements in generative AI and propose new applications Optimize model performance, scalability, and efficiency Develop and maintain documentation for AI models and processes Participate in code reviews and contribute to best practices in AI development Mentor junior team members and share knowledge on generative AI techniques Analyze complex datasets and extract meaningful insights to improve AI models Address ethical considerations and ensure responsible AI development practices Masters or Ph.D. in Computer Science, Machine Learning, or a related field 3+ years of experience in AI/ML development with a focus on generative models Strong programming skills in Python and proficiency in machine learnin

Uniphore is one of the largest B2B AI-native companies decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: About the role As a Staff AI Scientist, you will positively impact customers by utilizing machine learning (ML) applications and will contribute to the organizations success by providing technical guidance, leadership, and expertise in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Deep Learning. Responsibilities Lead and contribute to building ASR and Speech LLM models and associated services Lead and contribute to the building and modification (fine-tuning) of pre-trained enterprise-grade LLMs and multi-modal models Conduct scientific evaluations of NLP/LLM models, innovate new techniques for model validation, evaluation, trust, and safety Apply preference optimization techniques, including reinforcement learning from human feedback (RLHF), to train and fine-tune multi-modal models, ensuring trust and safety in their deployment Engineer LLMs with the ability to seamlessly integrate with other tools and APIs Specify guidelines and design annotation processes for training and evaluation data Collaborate with the data team on data pre-processing, consumption, and automated/manual annotations Collaborate with the product team to define and refine requirements for new features and applications of AI Lead projects independently, providing mentorship and guidance to other team members Work collaboratively in a fast-paced startup environment, cross-functionally with Engineering, Product, Marketing, and Customer Solutions teams Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions; stay up to date with larger trends in the field Published in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, KDD, ICASSP, InterSpeech, CVPR, AAAI etc.) Qualifications & Skills PhD plus 3 years of relevant experience or Master s degree in Computer Science, Engineering, or related fields plus minimum of 5 years relevant experience, or Bachelor s degree in Computer Science, Engineering or related experience plus a minimum of 6 years of relevant experience Minimum of 4 years of industry experience in artificial intelligence (AI), Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR) In-depth knowledge of deep learning (DL) with expertise in PyTorch/TensorFlow In-depth understanding of Transformers, hands-on experience with the Hugging Face library, and the ability to solve NLP and ASR problems using LLMs Experience working with large datasets, addressing quality issues, and interpreting data with a focus on business goals Expertise in Python programming Hands-on experience in developing production-ready, scalable code Ability to lead projects independently and mentor and guide other team members Knowledge of deployment using environments such as: Docker, AWS, or Kubernetes Location preference: India - Bangalore, India - Chennai For more information on how Uniphore uses AI to unify and humanize every enterprise experience, please visit www.uniphore.com.

Hello All, We Are hiring for Data Scientist Position Skills Python+AI+RAG+LLM Traditional DS+ NLP+DL+AI MLOPS+ Any cloud Below detail JD FYR, Location - PAN INDIA Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intrested candidates please share your CV on kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

Exclusive Opportunity for Indias MLOps Experts! Soul AI (by Deccan AI) is hiring top-tier MLOps Engineers for high-paying contract & freelance roles What You Get: Market-leading compensation Flexible contracts (2"“12 months) Remote & hybrid work options Collaborate with AI leaders on cutting-edge projects Your Responsibilities: Build & automate ML pipelines (Kubeflow, MLflow, Airflow) Develop & optimize CI/CD workflows Deploy ML models at scale with Docker, Kubernetes, cloud ML platforms Implement monitoring & governance frameworks Must-Have Skills: Python, TensorFlow, PyTorch AWS, GCP, Azure ML expertise CI/CD, monitoring, data versioning knowledge Join our Expert Community & unlock premium AI job opportunities!

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!

Overview Development of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Index Data Platforms Build and sustain platforms that generate and manage Index data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of delivered data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Responsibilities 1. Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where and how AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Design solutions leveraging generative AI and LLM. Build cost effective,scalable and high quality data solutions which will be used for critical Index products Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. 2. Development of AI and Data Science-Based Solutions for Quality Check of Data Points delivered to downstream Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Qualifications Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GEMINI,GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python : Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java (Good to have) : Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle (Good to have) : Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. Data Enginering and Cloud Solutions Proficiency in cloud platforms like Azure or Google Cloud. Leveraging cloud services for flexibility, scalability, and cost-efficiency Experience with data warehousing solutions and other cloud based data storage solutions Experience in Kubernetes and service or event driven architectures What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Summary: We are seeking skilled Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state of the art AI capabilities (LLMs), and we now require human expertise to creating a working code base. Duties and Responsibilities: Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Work Experience Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e. g. , Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e. g. , NumPy, SciPy) Knowledge of software testing frameworks (e. g. , pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements. txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional requirements: Experience with image processing and computer vision libraries (e. g. , OpenCV, scikit-image) Knowledge of deep learning frameworks (e. g. , TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision

Summary Were seeking an experienced MLOps Engineer to build and maintain our computer vision infrastructure on AWS. The ideal candidate will develop model training pipeline, a comprehensive image data lake with advanced search capabilities, implement active learning pipelines for efficient annotation, and create frameworks enabling customers to deploy their own deep learning models. This role combines MLOps expertise with data engineering to create scalable, production-ready computer vision systems. Responsibilities: Design and implement end-to-end computer vision ML training pipelines on AWS SageMaker for model training, validation, deployment, and monitoring Architect and build a scalable image data lake solution enabling multi-modal search capabilities (structured metadata, image-to-image, text-to-image) along with data upload capability from edge devices Develop vector embedding pipelines for visual content using AWS services and deep learning frameworks Create APIs for seamless integration with third-party annotation services and automated dataset creation Implement active learning pipelines that intelligently select high-value images for annotation, optimizing annotation ROI Build data quality and validation frameworks to ensure consistency across the annotation lifecycle Develop infrastructure automation using AWS CloudFormation/CDK for scalable deep learning workflows Establish monitoring systems for data drift, annotation quality, and model performance Create skeleton frameworks and templates enabling customers to deploy their own deep learning models Optimize storage and retrieval mechanisms for large-scale image repositories Work Experience Requirements: Bachelors or Masters degree in Computer Science, Engineering, or related field 5+ years of experience in MLOps or ML Engineering with focus on computer vision applications Experience building data lakes or large-scale data repositories for unstructured data Strong understanding of vector databases, embedding models, and similarity search algorithms Hands-on experience with AWS services (S3, SageMaker, Lambda, Step Functions, Glue) Proficiency in Python and experience with PyTorch or TensorFlow Experience implementing active learning systems for optimizing annotation workflows Knowledge of RESTful API design and integration with third-party services Familiarity with annotation tools and workflows for computer vision datasets Experience with containerization (Docker) and orchestration (Kubernetes/EKS) Understanding of data governance and security best practices for sensitive image data

Summary: We are seeking skilled Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state of the art AI capabilities (LLMs), and we now require human expertise to creating a working code base. Duties and Responsibilities: Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Work Experience Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e. g. , Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e. g. , NumPy, SciPy) Knowledge of software testing frameworks (e. g. , pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements. txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional requirements: Experience with image processing and computer vision libraries (e. g. , OpenCV, scikit-image) Knowledge of deep learning frameworks (e. g. , TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision