2458 Deep Learning Jobs - Page 29

Urgent Job Opening-Applicable both for Males& Females Associate Professo r - CSE required for one of the reputed and top-notch private Engineering College- Immediate Joiner Required or Candidates with minimum Notice period are prioritized Industry- Education Designation -Associate Professor No of positions Open for this role : 5 Department - CSE Qualification : B.tech& M.tech required in same domain- CSE Yrs of exp : 2-5 Yrs Location :Kakinada( Andhra Pradesh)- East Godavari District Candidates nearby to Kakinada- Semi urban cities and Neighboring Rural places too are eligible for this role. Preferred candidate profile Kindly upload the updated resume of the candidate as per the guidelines given above. First Priority given to Localites of Kakinada and neighbouring areas, If candidate interested to relocate,then also they can send their Updated Profiles Latest Mail Id and contact details of the candidates needs to be mentioned in the profile

Skills required: Strong technical foundation in AI/ML, Data Science, Generative AI, AI Tools and Prompt Engineering. Ability to guide students in building projects and portfolios in relevant technologies. Must be able to confidently explain and simplify any concept in the mentioned technologies for diverse age groups and academic levels. Excellent communication skills in English and Hindi (both verbal and written). Strong planning and time management abilities. Strong public speaking and presentation skills Comfortable handling large groups and tailoring delivery methods to suit different institutions. Excellent stakeholder management handling clients, academic institutions, and internal teams. Willingness to take up training responsibilities as required. Role & responsibilities Lead Training Sessions: Deliver engaging and practical training sessions on AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering across colleges, schools, and premier institutions . Mentorship & Team Training: Train, guide, and mentor junior trainers from PHN Technology, ensuring content and delivery consistency. Content Development: Develop and continuously update training materials, live projects, and demos in line with current trends in AI/ML, Data science, GenAI Travel Readiness: Willingness and ability to travel extensively across India for conducting workshops and sessions as per schedule. Preferred candidate profile We are looking for a passionate and technically sound professional with a strong foundation in AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering . The ideal candidate should have a minimum of 5+ years of relevant experience in teaching, corporate training, or industry roles. A strong command over communication (both verbal and written) in English and Hindi is essential, along with the ability to clearly explain and simplify complex concepts to learners across diverse age groups and academic levels. Candidates should possess excellent public speaking and presentation skills , and be comfortable delivering sessions to large groups while tailoring the content as per institutional needs.

2+ years of ML + NLP experience. Programming in Python. Knowledge of SQL and NoSQL databases. Expert ability to write robust code in Python. Experience working with structured and unstructured data including data extraction, integration, and normalization. Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy. Expert skill at manipulating data frames using Pandas and arrays using NumPy. Good To Have: Experience with big data frameworks such as Spark and Hadoop. Experience with containerizing applications using docker. Roles and Responsibilities Understanding business objectives and formulating the problem as a Machine Learning problem. In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries. Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning. Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots). Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV. Hands-on experience in any public cloud environment (AWS, GCP or Azure). Ability to build robust data processing and analytics pipelines. Operationalize ML models into production environment(s). Strong knowledge of software fundamentals, data structures and algorithms. Strong analytical and problem-solving skills. Quick learner passionate about Machine Learning and Data Science.

Description: Globallogic is looking for enthusiastic and self-motivated freshers to join our team on a contractual basis. This is an excellent opportunity to gain hands-on experience and build a strong foundation in a professional work environment. Requirements: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written Job Responsibilities: Data annotation, classification, evaluation and computer vision capabilities along with good communication skills both oral and written What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Machine Learning, NLP, Deep Learning, GenAI LLMs, Prompt Engineering, RAG, Chatbots, GPT Python (Pandas, NumPy, Scikit-learn, XGBoost) Agentic AI, DDD, TDD, Hexagonal Architecture Terraform, Docker, REST/gRPC APIs, Git, Cloud (AWS/GCP/Azure)

Job Title / Primary Skill: AiML Architect Management Level: G150 Years of Experience: 8 to 14 years Job Location: Bangalore/Kochi (Hybrid) Must Have Skills: AiMl, NLP, Machine Learning, Deep learning, Python Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelors degree) Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 8+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Perform statistical analysis of results and refine models. Extend ML libraries and frameworks to apply in NLP tasks. Experience on ORM, SQL Alchemy, Alembic is a must. Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have. Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have. Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

Job description: - Senior Data Scientist Organization : - Ray Business Technologies is a CMMI Level 3, ISO 27001:2013 Certified Company and The Member of NASSCOM, AIIA, NJTC and HYSEA. About Organization : Ray Business Technologies (RBT”) is a global Information Technology (IT) Solutions company. Ray Business Technologies offers IT Solutions for Artificial Intelligence (AI), ERP, CMS, CRM, EAI to BFSI, Retail, Online commerce, Healthcare, Manufacturing, Media, Agriculture and Telecom verticals. Founded in 2009, 15 years of trust, A CMMI Level 3 Certified company. Responsibilities : Sound knowledge on Machine Learning, Deep Learning, statistical modelling, data analytics, algorithmic problem solving. Should poses a sound knowledge in R & D (Build from Scratch). Hands on Experience working components like- DL, Transform model, LLM, NLP, Computer Vision etc. Hands on experience in implementing Deep Learning technique. Hands on Experience of Natural Language Processing (NLP) techniques. Hands on experience in OCR technology. Inclination towards Mathematics / Statistics. Nice to have MS Excel skill, Reporting. Experience in object-oriented programming. Hands on Experience of Python or R. Good Knowledge on Cloud Technology (Azure cloud platform). Requirements: 4-6 years of experience in a data science or analytics role, with a proven track record of leveraging analytics to drive significant business impact. Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders. Strong knowledge of machine learning techniques (e.g., classification, clustering, regression), and experience applying them to real-world problems. Strong analytical and problem-solving skills, with a keen attention to detail. Experience with cloud platforms (e.g., Azure) and big data technologies (e.g., Hadoop, Spark) is a plus. Benefits : Competitive salary and comprehensive benefits package. Opportunities for professional development and career growth. Dynamic and collaborative work environment with talented colleagues.

Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets. Immediate Joiners.

ABOUT OUR ROLE Goldman Sachs is looking for an experienced Applied Researcher to join the AI Research team. As an Applied Researcher, you will be responsible for defining, designing, developing and evaluating language models for financial use cases. Your expertise in Machine Learning (ML) and Natural Language Processing (NLP) will be crucial for the development of AI-driven solutions in the financial domain, as well as for the research of applying state-of-the-art Language Modelling techniques. YOUR IMPACT In this role, you will have the chance to work with various teams across different divisions on groundbreaking projects that leverage Large Language Models (LLMs) and other NLP techniques to analyze and process a plethora of financial documents. As an Applied Researcher, you will address the specific challenges that arise when applying these techniques to the financial sector and push the state-of-the-art in AI for finance. RESPONSIBILITIES Create and implement scalable NLP-based solutions to enable business activities Perform experiments to evaluate and enhance the efficiency and effectiveness of existing models. Implement and analyze state-of-the-art NLP solutions and adapt them in a financial context. Develop, test, and maintain high-quality, production-ready code. Demonstrate technical leadership by taking charge of cross-team projects. Ar culate ideas and findings clearly in both spoken and writen forms across different departments. Represent Goldman Sachs at conferences and within open-source communities. Collaborate effectively with colleagues to advance production machine-learning systems and applications. QUALIFICATIONS A Bachelor s, master s or PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or equivalent relevant industry experience. Preferably 3 years AI/ML industry experience for Bachelor s/Masters, 1 year for PhD with a focus on Language Models and NLP. Programming experience in Python and strong knowledge of data structures, algorithms, and so ware engineering practices. Excellent understanding of NLP techniques/algorithms, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong verbal and written communication skills. Curiosity, ownership and willingness to work in a collaborate environment. Prior experience in a finance industry is a plus GOLDMAN SACHS ENGINEERING CULTURE Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOULL DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the why behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring WHAT WERE LOOKING FOR MS degree or PhD degree in Computer Science or a related technical field 4+ years of experience in ML engineering Strong programming skill in Python and data engineering skills Extensive knowledge of machine learning algorithms Hands-on experience on architectural patterns for large-scale software applications Industry experience building and productionizing machine learning systems Strong oral and written communication skills Experience in NLP or CV is a plus #LI-Hybrid

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Senior AI Developer We are seeking a highly skilled Senior AI Developer with expertise in Generative AI, Large Language Models (LLMs), and Deep Learning to design and develop cutting-edge AI solutions. This role involves working with large-scale datasets, optimizing AI models for real-world applications, and deploying scalable AI solutions. Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks. Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability. Implement custom tokenization techniques, text embedding models (Sentence-BERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations. Apply prompt engineering and prompt tuning techniques to optimize model responses. Work with LangChain and LLM orchestration frameworks to build AI-powered applications. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB. Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs. . Technical Skills Proficiency in Python Experience with Hugging Face Transformers, LangChain, OpenAI APIs Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA) Deep understanding of self-attention, positional embeddings, sequence modeling Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc Expertise in gradient descent, backpropagation, activation functions, loss functions Experience with dimensionality reduction techniques for feature selection Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling Understanding of model serving techniques, including REST APIs and real-time inference EXPERIENCE AND EDUCATIONAL REQUIREMENTS: Bachelor of science/technology/enginnering Experience - 6+ Years in with expertise in Generative AI, Large Language Models (LLMs), and Deep Learning, AI What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements. Full time Affiliated Companies Affiliated Companies: Phlexglobal, Inc. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned

Description EGNYTE YOUR CAREER. SPARK YOUR PASSION. Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations ABOUT EGNYTE Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com . ABOUT THE ROLE Egnyte is seeking a Principal Machine Learning Engineer to drive innovation and leadership across machine learning initiatives, with a special emphasis on NLP solutions. As a Principal Engineer, you will play a pivotal role in shaping the future of AI/ML at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of ML solutions into our platform at scale. You will mentor and guide engineering teams while providing expertise in state-of-the-art ML practices, ensuring a robust production pipeline and the professional management of ML models. WHAT YOU LL DO: Leading the technical strategy and execution for machine learning projects across the organization. Driving innovation in NLP and other ML solutions, ensuring alignment with Egnyte s business goals. Architecting and overseeing scalable, production-ready machine learning systems. Providing technical leadership and mentorship to the ML engineering team, fostering growth and collaboration. Conducting in-depth research and staying abreast of advancements in machine learning and deep learning technologies. Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal ML solutions. Designing, deploying, and managing the lifecycle of machine learning models, including retraining and monitoring for continuous improvement. Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions. Representing Egnyte s technical excellence through publications, presentations, and participation in industry events. YOUR QUALIFICATIONS: Proven expertise in leading machine learning initiatives, particularly in NLP. Extensive experience in creating and deploying machine learning & deep learning models at scale in a SaaS or Cloud environment. Demonstrated ability to define and execute technical strategy for ML projects. Advanced knowledge of ML frameworks, such as PyTorch and TensorFlow/ Keras . Proficiency in tools like HuggingFace libraries (transformers and tokenizers) or Fairseq . Expertise in Python, Docker, Kubernetes, and Helm. Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration. Strong experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise What we offer: Opportunity to work on cutting-edge machine learning projects at scale. Leadership role in a growing, innovative AI/ML team. Support for continued learning, certifications, and professional growth Bonus points: Proficiency in additional programming languages such as Java, Scala, or Go. Familiarity with tools and frameworks like Kubeflow and OpenCV. Deep understanding of advanced analytical modeling and statistical forecasting techniques. Demonstrated expertise with transformer-based architectures (e.g., BERT, GPT). Experience publishing and presenting complex technical work to a broader audience. COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

Key role: The suitable candidate will spend most of their time analyzing data. Past trends, current conditions, etc.The candidate would able to interpret large chunks of data, understand trends, analyze results, use of statistical techniques, visualization tools to give actionable insights. Should have worked on metrics tracking, modeling and MIS related to digital leads. Role & responsibilities : Should have 6-8 years of experience in Insurance/Banking/Lending/Credit Bureau or Financial sector Extensive hands-on experience in working on Machine Learning models Extensive hands-on experience in working with Excel, SQL, PowerBI Extensive hands-on experience in working with Python, Pandas, Numpy, Seaborn, data modeling, feature engineering and developing ML models Should have good knowledge and working experience in creating reporting datasets Should have good knowledge and working experience in story-telling and presenting actionable insights to stake holders Good to have knowledge of Bank Statement, Credit data and other data sources used in Fraud Analysis Good to have knowledge on AWS, Sagemaker, Amazon S3, Cloudwatch Good to have knowledge in CI/CD pipelines, ML ops. Please share your resume at neelam.kumari1@pramericalife.in with below details: Total Exp: Current CTC: Expected CTC: Notice Period:

Model Devt: Design, implement,optimize ML models with a primary focus on Computer Vision applications. Build & maintain,deployment pipelines for ML models on CPU-based cloud servers (e.g.AWS),exp in GPU-based deployment for resource-intensive task. Required Candidate profile Optimize AI containers & applications for speed ,scalability ,resource efficiency Partner with data scientists, engineers, product managers to integrate ML solution seamlessly into business workflows.

Proficiency in Python (libraries like pandas, NumPy, scikit-learn) Strong SQL skills for querying and manipulating large relational datasets Hands-on experience with cloud platforms (AWS/Azure/GCP) . Required Candidate profile Exposure to Generative AI frameworks or large language models (e.g., OpenAI GPT, Hugging Face Transformers) Exp in cloud-native ML tools (SageMaker, Azure ML, Vertex AI) Exp in CI/CD pipelines

You will push the boundaries of state-of-the-art in audio and media technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning. With the explosion of multi-modal foundation models and the growing capabilities of vision-language and audio-language systems, you will partner closely with Dolby s Applied AI team, which actively pursues the integration of these cutting-edge technologies into next-generation audio and media experiences. You will be able to hit the ground running, innovate, and contribute to impactful projects that leverage the latest advancements in AI. Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial. Consequently, knowledge or experience in any/all of the following are helpful: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Main responsibilities: Partner closely with other domain experts to refine and execute Dolby s technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions (including foundation models) and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements Ph.D. in Computer Science or similar field. A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. Strong knowledge and interest in audio processing. Knowledge in video or text processing is desirable. Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP). Good knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). Ability to envision new technologies and turn them into innovative products. Good communication and collaboration skills.

Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame works. Deploying models and building APIS (FAST API, FLASK API) Need to have experience working with GPUS. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Job Requirements Details Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame works. Deploying models and building APIS (FAST API, FLASK API) Need to have experience working with GPUS. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Exp 6 - 9 yrs Location Pune - Hybrid Good to have Knowledge and experience in Kubernetes, docker etc Cloud Experience working with VMS and azure storage. Sound data engineering experience. #LI-ONSITE#LI-QM1 Pay Range

Hiring For Associate Professor/Assistant Professor at Lloyd Institute of Engineering & Technology, Greater Noida Stream: • Computer Science Engineering • ECE • Mechanical Engineering Qualifications: Assistant Professor : Masters degree, Bachelors Degree with First class in all the preceding degrees in the appropriate branch of Engineering/ Science, with an exemplary academic record throughout. Associate Professor: Ph.D., Masters degree, Bachelors Degree with First class in all the preceding degrees in the appropriate branch of Engineering/ Science, with an exemplary academic record throughout. Professor : Ph.D, Masters degree, Bachelors Degree with First class in all the preceding degrees in the appropriate branch of Engineering/ Science, with an exemplary academic record throughout. Experience: Assistant Professor - Minimum 1 Years of Experience Associate Professor - Minimum 8 Years of Experience of which 2 years post Ph.D. experience. . Candidate Profile: Prepare and deliver lectures to students and conduct discussion groups Motivate students to be abreast and updated with the latest technological and market developments Prepare, administer and grade examinations, assignments and other Academic Assessments Advise students on course and academic matters and career decisions Direct and mentor students in research programs and project work Conduct research in field of specialisation and publish findings in scholar journals or books Practising and Preparation of Documentations and per the NBA & NAAC Can successfully execute Experimental Learning within the Class/Group Exposure to R& D Projects and consultancy will be preferred. Faculty who can promote Skill based Learning, Entrepreneurship, Innovative & Creative Thinking with Industry Interaction, and other value-added courses will be preferred.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team. As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners Preferred qualifications, capabilities, and skills Exposure with Ray, MLFlow, and/or other distributed training frameworks. MS and/or PhD in Computer Science, Machine Learning, or a related field. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Familiar in Reinforcement Learning or Meta Learning. Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team. As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners Preferred qualifications, capabilities, and skills Exposure with Ray, MLFlow, and/or other distributed training frameworks. MS and/or PhD in Computer Science, Machine Learning, or a related field. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Familiar in Reinforcement Learning or Meta Learning. Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

Roles & Responsibilities: Research and Development: Design, develop, and implement novel NLP algorithms and models to achieve state-of-the-art performance on various NLP tasks. Algorithm Engineering: Implement NLP algorithms and models from theory to practice, ensuring their scalability, efficiency, and performance. Experimentation and Evaluation: Conduct thorough experiments and evaluations of NLP models to determine their effectiveness and identify areas for improvement. Model Optimization and Deployment: Optimize and deploy NLP models for production-ready use cases, ensuring their reliability and maintainability. Knowledge Sharing and Collaboration: Collaborate with the research team to share knowledge, best practices, and research results. Staying Up-to-Date: Stay current with the latest developments in NLP research and industry trends. Documentation and Communication: Write technical reports, papers, and documentation to communicate research results and best practices. Mentorship and Training: Mentor and train junior researchers and engineers to develop their NLP skills. Required skills: Strong background in NLP , including language understanding, text processing, and machine learning. Proficiency in one or more programming languages (e. g. , Python, Java, C++, R). Familiarity with NLP frameworks and toolkits (e. g. , PyTorch, TensorFlow, spaCy, NLTK). GenAI Skills and Tools: RAG, Quantization, LLM-fine tuning, Parameter Efficient Fine-tuning (PEFT) using LoRA/QLoRA, LangChain, LangGraph/AutoGen/CrewAI. MLOps: Atleast one of MLFlow, DVC, Wandb, Airflow. Strong knowledge of machine learning and deep learning concepts , including supervised and unsupervised learning methods. Research experience with publication(s) in top-tier NLP conferences. Excellent problem-solving and analytical skills , with a strong ability to design and implement solutions. Strong communication and collaboration skills , with the ability to effectively communicate technical research and ideas to both technical and non-technical stakeholders.

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Data Scientist, you will play a key role in designing, building, and deploying scalable machine learning solutions, with a focus on real-world applications including Generative AI, optimization, forecasting, and operational analytics. You will work closely with data scientists, engineers, and business stakeholders to take AI models from ideation to production, ensuring high-quality delivery and integration within ReNew’s technology ecosystem. Roles and Responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements Support the end-to-end lifecycle of ML products Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives Eligibility Criteria Bachelor's in Computer Science, Engineering, Data Science, or related field. Master’s degree preferred 4–6 years of experience in developing and deploying machine learning models, with significant exposure to MLOps practices Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures) Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS) Solid understanding of software engineering fundamentals and DevOps/MLOps workflows Exposure to at least 2-3 industry domains (energy, manufacturing, finance, etc.) preferred Excellent problem-solving skills, ownership mindset, and ability to work in agile cross-functional teams Main Interfaces The role will involve close collaboration with data scientists, data engineers, business stakeholders, platform teams, and solution architects.

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Role: Data Science Location : Pune Exp : 3 - 5 yrs Requirement: GENAI - Python/Data/AI Dev Python DSS Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems Skills: Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems

Lead Data Scientist role.Agentic AI Work Location- Hyderabad/ Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*Responsibilities: Develop machine learning models using Python & NLP techniques. Optimize data pipelines for efficiency & accuracy. Collaborate with cross-functional teams on product development.