99 Autoencoders Jobs

Country/Region: IN Requisition ID: 28868 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Architect Description: Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks Job Title - DataScience Location: Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 15 years Key Responsibilities GenAI Architect Must have 15+ years of experience working in Data science Machine learning and especially NLP technologies Experts in guiding customer solution design using architecture principles Must have education from Tier 1 college Solid understanding of Model development model serving trainingre training techniques in a data sparse environment Must have experience with Agentic AI frameworks LangGraph LlamaIndex MCP etc Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development Experience with Python programming language in a must Ability to develop Python code as needed and train the Developers based on business needs Experience with AWS Azure ecosystem is a must Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS Azure Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative modelsincluding but not limited to generative adversarial networks (GANs) variational autoencoders (VAEs) and transformer-based architectures Very good understanding of Prompt engineering techniques in developing Instruction based LLMs Must be able to design, and implement stateoftheart generative models for natural language processing (NLP) tasks such as text generation text completion, language translation and document summarization Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs Passionate to learn and stay updated with the latest advancements in generative AI and LLM Nice to have -contributions to the research community through publications presentations and participation in relevant conferences or workshops Evaluate and preprocess largescaledatasets ensuring data quality and integrity and develop data pipelines for training and evaluation of generative models Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed Exposure to developing Guardrails for LLMs both with open source and cloud native models Collaborate with software engineers to deploy and optimize generative models in production environments considering factors such as scalability efficienc and realtime performance

Area(s) of responsibility About Birlasoft Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks Job Title - DataScience Location: Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 15 Years Key Responsibilities GenAI Architect Must have 15+ years of experience working in Data science Machine learning and especially NLP technologies Experts in guiding customer solution design using architecture principles Must have education from Tier 1 college Solid understanding of Model development model serving trainingre training techniques in a data sparse environment Must have experience with Agentic AI frameworks LangGraph LlamaIndex MCP etc Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development Experience with Python programming language in a must Ability to develop Python code as needed and train the Developers based on business needs Experience with AWS Azure ecosystem is a must Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS Azure Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative modelsincluding but not limited to generative adversarial networks (GANs) variational autoencoders (VAEs) and transformer-based architectures Very good understanding of Prompt engineering techniques in developing Instruction based LLMs Must be able to design, and implement stateoftheart generative models for natural language processing (NLP) tasks such as text generation text completion, language translation and document summarization Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs Passionate to learn and stay updated with the latest advancements in generative AI and LLM Nice to have -contributions to the research community through publications presentations and participation in relevant conferences or workshops Evaluate and preprocess largescaledatasets ensuring data quality and integrity and develop data pipelines for training and evaluation of generative models Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed Exposure to developing Guardrails for LLMs both with open source and cloud native models Collaborate with software engineers to deploy and optimize generative models in production environments considering factors such as scalability efficienc and realtime performance

Develop and deploy AI/ML and Deep Learning models Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders Work on NLP techniques Build predictive analytics and optimization pipelines Perform exploratory data analysis (EDA) Required Candidate profile Strong proficiency in Python 3–4 years of hands-on experience in AI/ML model development Expertise in Deep Learning architectures (CNN) Solid background in statistical analysis Strong knowledge of SQL

About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks Job Title - DataScience Location: Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 15 years Key Responsibilities GenAI Architect Must have 15+ years of experience working in Data science Machine learning and especially NLP technologies Experts in guiding customer solution design using architecture principles Must have education from Tier 1 college Solid understanding of Model development model serving trainingre training techniques in a data sparse environment Must have experience with Agentic AI frameworks LangGraph LlamaIndex MCP etc Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development Experience with Python programming language in a must Ability to develop Python code as needed and train the Developers based on business needs Experience with AWS Azure ecosystem is a must Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS Azure Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative modelsincluding but not limited to generative adversarial networks (GANs) variational autoencoders (VAEs) and transformer-based architectures Very good understanding of Prompt engineering techniques in developing Instruction based LLMs Must be able to design, and implement stateoftheart generative models for natural language processing (NLP) tasks such as text generation text completion, language translation and document summarization Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs Passionate to learn and stay updated with the latest advancements in generative AI and LLM Nice to have -contributions to the research community through publications presentations and participation in relevant conferences or workshops Evaluate and preprocess largescaledatasets ensuring data quality and integrity and develop data pipelines for training and evaluation of generative models Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed Exposure to developing Guardrails for LLMs both with open source and cloud native models Collaborate with software engineers to deploy and optimize generative models in production environments considering factors such as scalability efficienc and realtime performance

Join the leader in entertainment innovation and help design the future at Dolby, where science meets art and high tech goes beyond computer code. As a member of the Dolby team, you will witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks top talent. The company is large enough to provide all necessary resources yet small enough for you to make a significant difference and receive recognition for your contributions. Enjoy a collegial culture, stimulating projects, competitive compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work environment, schedule, and methods. Dolby's research division is seeking a researcher to join efforts in developing the next generation of AI-based multimodal technologies. The successful candidate will collaborate with Dolby's esteemed audio and vision experts to innovate multimedia analysis, processing, and rendering technologies for enhanced interactive and immersive experiences. As a part of an international team, you will explore new horizons in multimodal processing, analysis, and interactivity, responsible for conducting groundbreaking research, technology transfer, and patent application drafting. Dolby's research division is currently hiring a motivated researcher to advance multimedia technologies. An ideal candidate will possess expertise in HCI and deep learning, with the ability to stay updated with current literature, implement, and innovate. Knowledge or experience in human-computer interaction, generative models, self-supervised learning, audio, image, or text applications, as well as latent space techniques are beneficial for this role. Key Responsibilities: - Develop prototypes for multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to execute Dolby's technical strategy in AI and machine learning. - Utilize deep learning to innovate and improve applications. - Contribute to advancing the state-of-the-art and creating intellectual property. - Transfer technology to product groups and prepare patent applications. - Provide insights on recent deep learning advancements to influence research and business decisions. Requirements: - Ph.D. in computer science or related field, emphasizing deep learning with knowledge in audio, video, 3D, or text processing. - Strong publication record in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Creativity and ability to envision and develop innovative products. - Excellent communication skills.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you will see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the resources you need and small enough so you can make a real difference and earn recognition for your work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support where, when, and how you do your best work. Dolby's research division is seeking a researcher to join the effort to develop the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's world-class audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies to drive new interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The researcher will be responsible for conducting fundamental new research, transferring technology to product groups, and drafting patent applications. Dolby's research division is currently looking for a talented, self-motivated researcher to push the boundaries of state-of-the-art multimedia technologies. The ideal candidate will have a strong background in Human-Computer Interaction (HCI) and deep learning, both conceptually and practically. Keeping up to date with the literature, implementing, and innovating are core aspects of this role. Knowledge or experience in human-computer interaction techniques, deep learning applications, generative models, self-supervised learning, audio, image, or text applications, latent space exploration, navigation, and control techniques would be beneficial. The role will involve prototyping inspiring experiences that explore a complement of modalities, extending immersion and interaction. The ideal candidate will have experience in developing real-time applications delivering multi-modal experiences and/or human-computer interfaces with generative AI involvement. Main Responsibilities: - Prototype and demonstrate multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to create new solutions 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 to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record in top domain-specific or general machine learning conferences. - Good knowledge of 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. - Creativity and good communication skills.,

We are looking for an experienced and passionate Data Scientist with strong expertise in deep learning, medical imaging, and foundation models. This is a hands-on technical contributor role at the intersection of healthcare and artificial intelligence. You will help build transformative AI solutions to improve diagnostics, clinical workflows, and patient outcomes. Your work will focus on designing and developing cutting-edge AI/ML algorithms for tasks such as image analysis, segmentation, classification, anomaly detection, and generative modeling in Magnetic Resonance Imaging (MRI). Project Roles And Responsibilities Key Responsibilities : Lead end-to-end development of deep learning models for medical imaging from data curation and preprocessing to training, evaluation, and deployment. Explore and fine-tune foundation models (e.g., Vision Transformers, CLIP, BioGPT, MedSAM) for diagnostic and clinical imaging use cases. Research and prototype novel architectures for segmentation, detection, and generation (e.g., UNet variants, GANs, Autoencoders, Diffusion Models). Collaborate with cross-functional teams including radiologists, product managers, software engineers, and regulatory experts to ensure clinical accuracy, robustness, and compliance. Develop scalable ML pipelines, model interpretability tools, and performance monitoring systems. Publish research in peer-reviewed journals or conferences and represent the company at relevant scientific/industry forums. Mentor junior data scientists and promote best practices in model development, validation, and documentation. Required Qualifications PhD or Masters degree in Computer Science, Biomedical Engineering, Applied Mathematics, or related field. 5+ years of experience in data science or machine learning, with 3+ years in medical imaging. Strong hands-on experience with TensorFlow, PyTorch, and deep learning architectures for computer vision. Practical knowledge of foundation models, including prompt engineering, fine-tuning, and domain adaptation. Experience working with 2D/3D imaging datasets (DICOM, NIfTI) and medical imaging toolkits (e.g., MONAI, SimpleITK, ITK-SNAP). Solid understanding of evaluation metrics like Dice, IoU, AUC, and experience handling imbalanced datasets. Familiarity with healthcare data compliance (HIPAA, FDA, MDR) and AI/ML lifecycle for medical devices. Excellent communication, leadership, and analytical problem-solving skills. Preferred Qualifications Research publications or patents in healthcare AI or medical imaging. Experience with PACS/RIS systems, HL7/DICOM standards, and clinical workflows. Familiarity with LLMs or multimodal generative models in clinical settings. Exposure to MLOps, model deployment, and optimization tools such as TensorRT, ONNX, OpenVINO. (ref:hirist.tech)

Country/Region: IN Requisition ID: 28589 Work Model: Position Type: Salary Range: Location: INDIA - NOIDA- BIRLASOFT OFFICE Title: Data Science Specialist Description: Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks Job Title - DataScience Location: Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 8+ years Key Responsibilities Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP etc. Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development. Experience with Python programming language in a must. Ability to develop Python code as needed and train the Developers based on business needs. Experience with AWS / Azure ecosystem is a must. Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS / Azure. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, cluding but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.• Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Expert in RDBMS database Experience on Marklogic / No SQL database Experience on Elastic search

Key Result Areas: Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements. Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution. Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends & patterns within big data sets to inform business decisions across functions & at all levels. Clean, preprocess, & transform the data to ensure it's of high quality, with missing values handled & outliers addressed. Employ advanced analytics techniques for predictive modeling & machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability & resilience to ever-increasing external sources of variability. Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap. Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually. Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy. Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments. Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process. Qualifications: B.E/B.tech/ PG in data science Location: Worli, Mumbai

Job Title AI Engineer Location: Chennai, India Salary: ₹20,00,000 – ₹35,00,000 per annum Experience: 3 to 8 years Job Description We are seeking a highly skilled Deep Learning Engineer with strong experience in computer vision and machine learning to develop advanced image processing algorithms for high-precision inspection systems. Key Responsibilities Develop and optimize image processing and deep learning algorithms for real-time inspection systems. Apply deep learning techniques including CNNs, GANs, Transformers, etc., to solve vision-related tasks. Work on full-cycle deployment of ML/DL solutions from model training to production. Handle large datasets and implement solutions for unsupervised learning and anomaly detection. Collaborate cross-functionally with product and engineering teams in a hybrid work environment. Required Skills & Experience Minimum 4 years of experience in: Artificial Intelligence Machine Learning Deep Learning Minimum 2 years of experience in: Computer Vision or Image Processing Hands-on experience with Python or C++; experience with Linux is preferred. Proficiency in DL frameworks such as TensorFlow, PyTorch, etc. Experience with at least one of the following: GANs, Autoencoders, Semantic Segmentation. Strong mathematical background and ability to translate problems into mathematical models. Experience with large-scale datasets and real-world ML deployment is a plus. Educational Qualifications B.Tech/M.Sc: Minimum 4+ years of relevant experience M.Tech/MS: Minimum 3+ years of relevant experience Ph.D.: Freshers eligible Degrees must be from Tier-1 institutes only (e.g., IIT, IIIT, IISC, NIT, VIT, PSG, CEG) Candidate Requirements Total experience must not exceed 9 years No frequent job changes – must have minimum 2 years tenure in current/previous roles Open to relocate to Chennai (hybrid work model) Candidates must not be employed by restricted clients or vendors Preference for candidates from product-based companies Candidates with semiconductor industry experience are also welcome (regardless of institution) Preferred Background B.Tech/M.Tech in CSE, IT, ECE, Data Science Background in Semiconductor, Computer Vision, or AI Research is advantageous Interview Process 3 Technical Rounds 2 Non-Technical Rounds Skills: learning,deep learning,computer vision,image processing

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary: As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients. Key Responsibilities: Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation. Collaborate with product managers, software engineers, and data scientists to understand project requirements and deliver robust AI solutions. Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance. Implement and maintain scalable machine learning pipelines for training and deploying models in production environments. Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards. Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training. Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems. Document model architecture, training processes, and performance metrics for internal and client-facing reports. Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar. Strong programming skills in Python and proficiency with machine learning libraries and tools. Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques. Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models. Understanding of ethical considerations and bias mitigation in AI systems. Contributions to open-source projects or publications in relevant conferences/journals. Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Area(s) of responsibility About Birlasoft Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks Job Title - DataScience Location: Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 8+ years Key Responsibilities Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP etc. Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development. Experience with Python programming language in a must. Ability to develop Python code as needed and train the Developers based on business needs. Experience with AWS / Azure ecosystem is a must. Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS / Azure. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, cluding but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Expert in RDBMS database Experience on Marklogic / No SQL database Experience on Elastic search

About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks Job Title - DataScience Location: Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 8+ years Key Responsibilities Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP etc. Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development. Experience with Python programming language in a must. Ability to develop Python code as needed and train the Developers based on business needs. Experience with AWS / Azure ecosystem is a must. Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS / Azure. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, cluding but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.• Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Expert in RDBMS database Experience on Marklogic / No SQL database Experience on Elastic search

Location: Bengaluru, Karnataka, India Job ID: R0101901 Date Posted: 2025-08-12 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No Job Description: The opportunity: The Service excellence team is a part of the Common Shared Services organization and supports multiple functions(including Finance, SCM, HR Operations, and Trade Transport and Logistics amongst others). As AI Automation Engineer within the Business Process Automation team, you will be part of a dynamic team focused on enabling the CSS functions to deliver their services with greater efficiency and effectiveness. How you’ll make an impact: Design AI-powered solutions, including the integration of AI Agents, to handle complex, repetitive, or decision-driven tasks. Create and optimize generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) for various applications, including content creation, data augmentation, and more. Multimodal AI Integration: Develop AI solutions that integrate multiple data modalities (e.g., text, image, audio) to create cohesive and intelligent systems. Design and implement intelligent automation solutions using AI/ML models and natural language processing to optimize business processes and enhance operational efficiency. Collaborate with cross-functional teams to identify automation opportunities, develop scalable AI pipelines, and ensure seamless integration with enterprise systems. Develop and implement POCs using MaaS platforms (e.g., Azure OpenAI & Google Vertex AI) and AI Agents to showcase their potential value. Configure, train, and deploy AI Agents to interact with systems, perform decision-making, and automate tasks requiring cognitive functions. Leverage MaaS platforms to deploy, monitor, and fine-tune AI models for Shared Services automation. Build APIs and pipelines to integrate AI capabilities into existing tools and workflows. Work closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems. Translate technical concepts into actionable insights for both technical and non-technical audiences. Collaborate with business analysts and stakeholders to analyze Shared Services workflows and identify high-impact automation opportunities. Stay ahead of trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 8–10 years of experience in AI and machine learning, with exposure to generative models, AI Agents, or multimodal AI. Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras. Strong analytical and problem-solving skills with a passion for tackling real-world AI challenges. Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences. Experience working in collaborative, cross-functional environments. Familiarity with project management tools and agile methodologies is a plus. Proficiency in both spoken & written English language is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

ML Engineer (Remote) Years of Experience : 2+ Years Skills: AIML and Python Work Mode : Remote Apply Now About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary: As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients. Key Responsibilities: Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation. Collaborate with product managers, software engineers, and data scientists to understand project requirements and deliver robust AI solutions. Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance. Implement and maintain scalable machine learning pipelines for training and deploying models in production environments. Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards. Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training. Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems. Document model architecture, training processes, and performance metrics for internal and client-facing reports. Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar. Strong programming skills in Python and proficiency with machine learning libraries and tools. Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques. Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models. Understanding of ethical considerations and bias mitigation in AI systems. Contributions to open-source projects or publications in relevant conferences/journals. Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

We are looking for an experienced and passionate Data Scientist with strong expertise in deep learning , medical imaging , and foundation models . This is a hands-on technical contributor role at the intersection of healthcare and artificial intelligence. You will help build transformative AI solutions to improve diagnostics, clinical workflows, and patient outcomes. Your work will focus on designing and developing cutting-edge AI/ML algorithms for tasks such as image analysis , segmentation , classification , anomaly detection , and generative modeling in Magnetic Resonance Imaging (MRI) . Project Roles and Responsibilities Key Responsibilities: Lead end-to-end development of deep learning models for medical imaging—from data curation and preprocessing to training, evaluation, and deployment. Explore and fine-tune foundation models (e.g., Vision Transformers, CLIP, BioGPT, MedSAM) for diagnostic and clinical imaging use cases. Research and prototype novel architectures for segmentation, detection, and generation (e.g., UNet variants, GANs, Autoencoders, Diffusion Models). Collaborate with cross-functional teams including radiologists, product managers, software engineers, and regulatory experts to ensure clinical accuracy, robustness, and compliance. Develop scalable ML pipelines, model interpretability tools, and performance monitoring systems. Publish research in peer-reviewed journals or conferences and represent the company at relevant scientific/industry forums. Mentor junior data scientists and promote best practices in model development, validation, and documentation. Required Qualifications: PhD or Master’s degree in Computer Science, Biomedical Engineering, Applied Mathematics, or related field. 5+ years of experience in data science or machine learning, with 3+ years in medical imaging . Strong hands-on experience with TensorFlow , PyTorch , and deep learning architectures for computer vision. Practical knowledge of foundation models , including prompt engineering, fine-tuning, and domain adaptation. Experience working with 2D/3D imaging datasets ( DICOM , NIfTI ) and medical imaging toolkits (e.g., MONAI , SimpleITK , ITK-SNAP ). Solid understanding of evaluation metrics like Dice, IoU, AUC, and experience handling imbalanced datasets. Familiarity with healthcare data compliance (HIPAA, FDA, MDR) and AI/ML lifecycle for medical devices. Excellent communication, leadership, and analytical problem-solving skills. Preferred Qualifications: Research publications or patents in healthcare AI or medical imaging. Experience with PACS/RIS systems , HL7/DICOM standards , and clinical workflows. Familiarity with LLMs or multimodal generative models in clinical settings. Exposure to MLOps , model deployment, and optimization tools such as TensorRT , ONNX , OpenVINO .

Opening for Team Lead - Generative AI / AI-ML Specialist Role Overview: We’re seeking an experienced Data Scientist / Team Lead with deep expertise in Generative AI (GenAI) to design and implement cutting-edge AI models that solve real-world business problems. You’ll work with LLMs, GANs, RAG frameworks, and transformer-based architectures to create production-ready solutions across domains. Key Responsibilities: Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures for contextual responses and document intelligence Customize and fine-tune Large Language Models (LLMs) for domain-specific applications Build and maintain robust ML pipelines and infrastructure for training, evaluation, and deployment Collaborate with engineering teams to integrate models into end-user applications Stay current with the latest GenAI research, open-source tools, and frameworks Analyze model outputs, evaluate performance, and ensure ethical AI practices. Required Skills: Strong proficiency in Python and ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, RAG, GANs, Autoencoders, and other GenAI architectures Experience with fine-tuning models using LoRA, PEFT, or similar techniques Familiarity with Vector Databases (e.g., FAISS, Pinecone) and embedding generation Experience working with datasets, data preprocessing, and synthetic data generation Good knowledge of NLP, prompt engineering, and language model safety Experience with APIs, model deployment, and cloud platforms (AWS/GCP/Azure) Nice to Have: Prior work with Chatbots, Conversational AI, or AI Assistants Familiarity with LangChain, LLMOps, or Serverless Model Deployment Background in MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines Knowledge of OpenAI, Anthropic, Google Gemini, or Meta LLaMA models What We Offer: An opportunity to work on real-world GenAI products and POCs Collaborative environment with constant learning and innovation Competitive salary and growth opportunities 5-day work week with a focus on work-life balance Work from office Job Types: Full-time, Permanent Pay: Up to ₹1,600,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Location: Bengaluru, Karnataka, India Job ID: R0098357 Date Posted: 2025-08-07 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No Job Description: Mission Statement: The Service excellence team is a part of the Common Shared Services organization and supports multiple functions (including Finance, SCM, HR Operations, and Trade Transport and Logistics amongst others). As AI Innovation Engineer within the Business Process Automation team, you will be part of a dynamic team focused on enabling the CSS functions to deliver their services with greater efficiency and effectiveness. Your Responsibilities: Design AI-powered solutions, including the integration of AI Agents, to handle complex, repetitive, or decision-driven tasks. Create and optimize generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) for various applications, including content creation, data augmentation, and more. Multimodal AI Integration: Develop AI solutions that integrate multiple data modalities (e.g., text, image, audio) to create cohesive and intelligent systems. Develop and implement POCs using MaaS platforms (e.g., Azure OpenAI & Google Vertex AI) and AI Agents to showcase their potential value. Configure, train, and deploy AI Agents to interact with systems, perform decision-making, and automate tasks requiring cognitive functions. Leverage MaaS platforms to deploy, monitor, and fine-tune AI models for Shared Services automation. Build APIs and pipelines to integrate AI capabilities into existing tools and workflows. Work closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems. Translate technical concepts into actionable insights for both technical and non-technical audiences. Collaborate with business analysts and stakeholders to analyze Shared Services workflows and identify high-impact automation opportunities. Stay ahead of trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 5–7 years of experience in AI and machine learning, with exposure to generative models, AI Agents, or multimodal AI. Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras. Strong analytical and problem-solving skills with a passion for tackling real-world AI challenges. Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences. Experience working in collaborative, cross-functional environments. Familiarity with project management tools and agile methodologies is a plus. Proficiency in both spoken and written English is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering, and language model safety Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI, or AI Assistants Familiarity with LangChain, LLMOps, or serverless model deployment Background in MLOps, Docker/Kubernetes, and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 5+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts. Certifications in cloud architecture, ML engineering, or data science specializations, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs). Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

JR: R00239322 Experience: 8-10Years Educational Qualification: Any Degree Job Title - S&C GN - T&O - OA – NLP Data Science & GenAI - Consultant Management Level: 9-Team Lead/Consultant Location: Mumbai, MC1 Building, NonSTPI Must-have skills: Instructional Design Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Analytics (OA) Consultant in our Talent & Organization (T&O) practice, a typical day might include: Comfortable with developing and deploying data-driven solutions to People transformation efforts for Accenture’s Global and Local clients Engage with clients to understand their challenges, requirements and concerns to determine the best OA solution Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions Define data-backed people strategies to support business transformational programs Co-create solutions and assist clients in developing action plans Build strong relationships with clients and foster business growth Contribute to T&O practice-building efforts YOUR WINNING QUALITIES: Natural leader; easily establishes relationships with clients and colleagues Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world Determined; appreciates a challenge and overcoming obstacles to achieve results Digitally savvy; continuous learner OUR COMMITMENT TO YOU – You will enjoy: A transparent career path designed for rapid career progression A supportive culture that is serious about training, coaching and continuous learning A global network where only state-of-the-art tools and technologies will do A bighearted environment with opportunities to give back to our local communities Professional & Technical Skills: Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Working knowledge on interpreting Natural Language Processing (NLP) based ML model results Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage. Data fluency and working knowledge of statistical methodologies. Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models. Data interpretation with working knowledge of analytic models and digital tools Fluency in English is required, additional language capabilities are highly advantageous Ability to perform in a non-structured and dynamic environment Additional Information: Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture

Join the leader in entertainment innovation and help design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the necessary resources and small enough for individuals to make a real difference and receive recognition for their work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support individuals in doing their best work, wherever, whenever, and however they prefer. Dolby's research division is currently seeking a researcher to contribute to the development of the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's renowned audio and vision experts to create new multimedia analysis, processing, and rendering technologies that will drive innovative interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The role involves conducting fundamental research, transferring technology to product groups, and preparing patent applications. The ideal candidate for this role should possess a strong background in Human-Computer Interaction (HCI) and deep learning, with both conceptual understanding and practical experience. Keeping up to date with the latest literature, implementing, and innovating are essential aspects of this position. Knowledge or experience in areas such as human-computer interaction techniques, generative models, self-supervised learning, audio, image, or text applications, and latent space exploration are beneficial. The candidate will prototype inspiring experiences combining different modalities to enhance immersion and interaction, focusing on empirical refinement of the user experience. Experience in developing real-time applications delivering multi-modal experiences and human-computer interfaces with generative AI involvement is preferred. Responsibilities: - Prototype and showcase multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to develop new solutions and improve existing applications. - Drive the state-of-the-art and contribute to intellectual property development. - Transfer technology to product groups and draft patent applications. - Provide insights to internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or related field, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record, with publications in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Ability to conceptualize new technologies and transform them into innovative products. - Creativity and strong communication skills.,

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do: Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice to Have: Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, were looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems. You will work with LLMs, GANs, RAG frameworks, and transformer-based architectures to build production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc. Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures. Customize and fine-tune LLMs for domain-specific use cases. Build and manage robust ML pipelines for training, evaluation, and deployment. Collaborate with engineering teams to integrate models into real-world applications. Stay updated with the latest GenAI research, tools, and trends. Analyze model outputs, monitor performance, and ensure responsible AI use. Required Skills Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers. Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques. Familiarity with Vector Databases (FAISS, Pinecone) and embeddings. Expertise in data preprocessing, synthetic data generation. Solid knowledge of NLP, prompt engineering, and language model safety. Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure). Nice To Have Experience with Chatbots, Conversational AI, or AI Assistants. Familiarity with LangChain, LLMOps, or serverless model deployment. Background in MLOps, Docker/Kubernetes, and CI/CD pipelines. Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA. (ref:hirist.tech)

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years