5072 Tensorflow Jobs - Page 42

Job Title: AI Engineer Location: Gurgaon (On-site) Type: Full-Time Experience: 2–6 Years Role Overview We are seeking a hands-on AI Engineer to architect and deploy production-grade AI systems that power our real-time voice intelligence suite. You will lead AI model development, optimize low-latency inference pipelines, and integrate GenAI, ASR, and RAG systems into scalable platforms. This role combines deep technical expertise with team leadership and a strong product mindset. Key Responsibilities Build and deploy ASR models (e.g., Whisper, Wav2Vec2.0) and diarization systems for multi-lingual, real-time environments. Design and optimize GenAI pipelines using OpenAI, Gemini, LLaMA, and RAG frameworks (LangChain, LlamaIndex). Architect and implement vector database systems (FAISS, Pinecone, Weaviate) for knowledge retrieval and indexing. Fine-tune LLMs using SFT, LoRA, RLHF, and craft effective prompt strategies for summarization and recommendation tasks. Lead AI engineering team members and collaborate cross-functionally to ship robust, high-performance systems at scale. Preferred Qualification 2–6 years of experience in AI/ML, with demonstrated deployment of NLP, GenAI, or STT models in production. Proficiency in Python, PyTorch/TensorFlow, and real-time architectures (WebSockets, Kafka). Strong grasp of transformer models, MLOps, and low-latency pipeline optimization. Bachelor’s/Master’s in CS, AI/ML, or related field from a reputed institution (IITs, BITS, IIITs, or equivalent). What We Offer Compensation: Competitive salary + equity + performance bonuses Ownership: Lead impactful AI modules across voice, NLP, and GenAI Growth: Work with top-tier mentors, advanced compute resources, and real-world scaling challenges Culture: High-trust, high-speed, outcome-driven startup environment

Notice period: Immediate 15days Timings:1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) We are seeking a strategic and innovative Senior Data Scientist to join our high-performing Data Science team. In this role, you will lead the design, development, and deployment of advanced analytics and machine learning solutions that directly impact business outcomes. You will collaborate cross-functionally with product, engineering, and business teams to translate complex data into actionable insights and data products. Key Responsibilities Lead and execute end-to-end data science projects, encompassing problem definition, data exploration, model creation, assessment, and deployment. Develop and deploy predictive models, optimization techniques, and statistical analyses to address tangible business needs. Articulate complex findings through clear and persuasive storytelling for both technical experts and non-technical stakeholders. Spearhead experimentation methodologies, such as A/B testing, to enhance product features and overall business outcomes. Partner with data engineering teams to establish dependable and scalable data infrastructure and production-ready models. Guide and mentor junior data scientists, while also fostering team best practices and contributing to research endeavors. Required Qualifications & Skills: Masters or PhD in Computer Science, Statistics, Mathematics, or a related 5+ years of practical experience in data science, including deploying models to Expertise in Python and SQL; Solid background in ML frameworks such as scikit-learn, TensorFlow, PyTorch, and Competence in data visualization tools like Tableau, Power BI, matplotlib, and Comprehensive knowledge of statistics, machine learning principles, and experimental Experience with cloud platforms (AWS, GCP, or Azure) and Git for version Exposure to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD). Familiarity with NLP, time series forecasting, or recommendation systems is a Knowledge of big data technologies (Spark, Hive, Presto) is desirable

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based in Chennai. - A 15 years full time education is required.

Job Title: AI/ML Developer Location: Pune (On-site) Experience Required: 6 to 7 years Industry: IT/Software Services Hiring For: One of our reputed clients in Pune About the Role: We’re hiring a highly skilled AI/ML Developer with 6–7 years of hands-on experience in building and deploying robust Machine Learning solutions. This is an onsite role in Pune , ideal for professionals who are passionate about artificial intelligence, data-driven solutions, and real-world implementation of cutting-edge algorithms. Key Responsibilities: Design, develop, and deploy end-to-end AI and Machine Learning models. Work on data preprocessing, model selection, training, tuning, and validation. Implement predictive modeling, NLP, computer vision, or recommendation systems as per project needs. Collaborate with cross-functional teams for product integration and deployment. Monitor model performance and optimize regularly for accuracy and speed. Stay updated with the latest developments in AI/ML frameworks, tools, and techniques. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. 6–7 years of proven experience in Machine Learning and AI projects. Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, scikit-learn, OpenCV, or Keras . Solid experience in data preprocessing , model training , hyperparameter tuning , and deployment . Hands-on experience with NLP , deep learning , or computer vision projects is a strong plus. Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Experience with version control (Git) and containerization (Docker/Kubernetes) preferred. Excellent communication skills — ability to present complex ideas clearly to technical and non-technical stakeholders. What We’re Looking For: Technically strong and self-driven professional. Excellent communication and problem-solving skills. Comfortable with working full-time from the client’s Pune office . Immediate joiners will be preferred. Why Join? Exciting opportunity to work on innovative AI/ML solutions. High-impact role in a fast-growing tech environment. Competitive salary and collaborative culture. How to Apply: Interested candidates meeting the above criteria can apply directly through Indeed or send their updated resume to ankita.parbat@sanglob.in Job Types: Full-time, Permanent Pay: ₹150,000.00 - ₹170,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How soon you can join? What is your current CTC? What is your expected CTC? Experience: AI: 7 years (Preferred) ML: 7 years (Preferred) Work Location: In person

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client

Role & responsibilities We are seeking a skilled and passionate Python Developer with hands-on experience in Artificial Intelligence (AI), Machine Learning (ML) , and Large Language Models (LLMs) like GPT, BERT, or LLaMA. The ideal candidate will have strong expertise in building LLM-powered applications using frameworks such as LangChain , Hugging Face Transformers , or BERTopic . Key Responsibilities : Design and implement AI/ML models using Python Work on NLP pipelines: Tokenization, Topic Modeling, BERTopic Build and deploy LLM-based apps using LangChain / LangGraph Develop REST APIs using Flask or FastAPI Integrate vector databases (FAISS, Pinecone, ChromaDB) for RAG-based apps Collaborate with cross-functional teams for solution delivery

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for AI deployment. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of natural language processing and its applications. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

We're looking for an AI/ML Engineer who thrives in an agile environment. You'll contribute to advancing our AI-powered features for our UI Design tool. Join us to revolutionize UI ideation with AI! Required Experience: 2 years Key Responsibilities: Develop and integrate AI-powered features across our design tools. Fine-tune and train LLMs for domain-specific use cases. Build lightweight ML models (classification, tagging, generation assistants) Collaborate with our dev team (Node.js, jQuery) to implement AI APIs Contribute to system design for scalable, cost-efficient AI infrastructure Required Skills: Knowledge of Python, TensorFlow and understanding of neural networks. Proven experience of training models for specific use cases. Strong experience with LLMs and prompt engineering Experience with machine learning platforms like Hugging face transformers, AWS Bedrock, etc. Good to have: Experience with or Knowledge about UI/UX tools Background in generative AI for creative applications Ready to build the next generation of AI design tools? Apply now!

Join our dynamic, small team to drive business efficiency through intelligent automation! We’re seeking a highly skilled Senior Software Engineer to identify, design, and implement automated solutions that reduce operational costs and enhance process performance. Key Responsibilities: • Analyze manual business workflows, identify automation opportunities, and collaborate with stakeholders. • Architect, design, and develop robust, scalable automation solutions using AI/ML techniques. • Build, test, deploy, and maintain automation systems, ensuring seamless integration with existing infrastructure. • Monitor and optimize performance, troubleshoot issues, and implement enhancements for efficiency and reliability. • Deliver automation that reduces OPEX and enhances process robustness. • Create and maintain clear technical documentation. • Stay current with AI/ML and automation advancements, recommending new tools and best practices. Required Qualifications: • 5+ years of professional software development experience, including senior-level responsibilities. • Strong programming skills in Python; experience with Java, Go, C#, or JavaScript is a plus. • Experience with NetSuite ERP and Shopify APIs is a plus. • Solid understanding of AI/ML fundamentals and hands-on application in process automation. • Proven experience designing and deploying automation solutions. • Strong analytical, systems thinking, and troubleshooting skills. • Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent practical experience). • Excellent communication skills; ability to work independently and collaboratively in a small team. Preferred Qualifications: • Experience with ML/DL frameworks (TensorFlow, PyTorch), NLP libraries (nltk, SpaCy), and GenAI/LLM tools (LangChain, LangGraph, CrewAI, RAG). • Hands-on with AWS, Azure, or GCP; familiarity with cloud-native AI/ML services and core infrastructure (serverless, containers, managed DBs). • Experience with workflow orchestration (Airflow) or agentic workflow frameworks. • Proficiency in SQL, NoSQL, and vector databases. • Understanding of DevOps, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Terraform). • Experience with Agile/Scrum methodologies. Why Join Us? • Impactful work automating critical business processes • Collaborative, focused two-person team • Opportunity to innovate with the latest AI/ML and automation tech.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

JOB DESCRIPTION: About us: At Data Unveil, we believe in delivering the best for our clients (Pharma Companies). We use the latest technology and tools to aggregate and analyze specialty healthcare data received from various data partners. We provide clear and hassle-free business insights to enhance the client’s vision and drive business success. Position: Software Engineer-AI/Jr.AI Engineer/AI-Intern Experience: 0 - 1 Year Location: Hyderabad, Telangana. Hire Type: Full Time Start Date: Immediate We are looking for a motivated and curious AI enthusiast with 0–1 year of experience to join our team. The resource will support the development, testing, and integration of Generative AI and Agentic AI models. Key Responsibilities: Assist in building and fine-tuning Generative AI models (e.g., LLMs, image/video generation, text summarization). Contribute to the development and testing of Agentic AI systems that can perform autonomous tasks. Conduct research and stay updated on the latest AI advancements and tools. Support data collection, cleaning, preprocessing, and annotation processes. Collaborate with senior engineers to implement and integrate AI models into products. Help evaluate model performance using relevant metrics and suggest improvements. Write clear documentation for code, models, and processes. Required Skills: Basic understanding of machine learning, deep learning, and neural networks. Exposure to Generative AI concepts like transformers, GPT, VAEs, GANs, etc. Familiarity with Python, and libraries like NumPy, Pandas ,PyTorch, TensorFlow, Hugging Face Transformers. Strong knowledge in writing complex SQL queries. Strong analytical and problem-solving skills. Ability to learn quickly and work in a collaborative team environment. Preferred: Academic or personal projects using LLMs or generative models. Understanding of agent-based systems or tools like Lang Chain, AutoGPT, etc. Familiarity with prompt engineering and fine-tuning techniques. To know more about us, please visit our website Data Unveil - Main Page

Artificial Intelligence Researcher Opportunity All LTI Mindtree office locations 5-12 years Job Description Key Responsibilities: Research Innovation Conduct applied research in generative AI, foundation models, NLP, computer vision, and multimodal AI. Stay abreast of the latest publications and open-source advancements. Model Development Fine-tune, evaluate, and optimize large language models (LLMs), transformers, and other generative models for specific business and product use cases. Prototyping Experimentation Build proof-of-concepts and experimental systems that demonstrate the potential of GenAI across domains such as content generation, summarization, synthetic data, agent systems, etc. Data Evaluation Pipelines Design robust data pipelines, evaluation metrics, and benchmarking systems to validate model performance, safety, and bias. Collaboration Work with cross-functional teams including product managers, ML engineers, and data scientists to translate research into production-grade systems. Open Source IP Contribution Publish findings in peer-reviewed venues, contribute to open-source projects, or generate intellectual property relevant to the business. Required Qualifications 5-7 years of experience in machine learning or applied AI roles, with at least 2-3 years working on generative models or related research. Strong foundation in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience with LLMs (e.g., GPT, LLaMA, Claude), diffusion models, or vision-language models. Proficient in Python and ML tools/libraries such as Hugging Face Transformers, LangChain, or similar. Understanding of responsible AI practices, bias mitigation, and model explainability. Masters or PhD in Computer Science, Machine Learning, Mathematics, or related fields. Preferred Qualifications Experience with open-source LLMs or fine-tuning techniques like LoRA, PEFT, RLHF, etc. Knowledge of MLOps practices and deployment of models in production (e.g., via Kubernetes, Ray, Triton). This job is provided by Shine.com

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

Job Title: Junior Data Analytics About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Requirements Job Description Role Data Analyst Educational Background: A degree in Computer Science, Data Science, Statistics, or a related field. Experience: Proven experience in developing and deploying AI/ML models in a business environment. Technical Skills: Proficiency in programming languages such as Python or R, and experience with AI/ML frameworks like TensorFlow or PyTorch. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data. Communication Skills: Excellent verbal and written communication skills to effectively convey technical information to non-technical stakeholders. Attention to Detail: High level of accuracy and attention to detail in data analysis and model development.

Role: Internship Opportunity – AI/ML Developer (LIMS Startup) Duration: 6 Months Type: Internship (6 days a week) Location: Peenya III Phase, Peenya, Bengaluru, Karnataka 560058 Stipend: As Applicable Who can apply - Students currently pursuing B.E. / B.Tech / BCA / MCA - Available for a full-time internship (6 months) - Can work from the office as required(6 days a week) Responsibilities As an AI/ML Developer Intern, you will: Execute small time-bound projects including Technical PoCs and Proofs of Business Value (PoVs). Rapidly build and prototype using tools like GitHub Copilot, Firebase Studio, Replit. Work with Python and AI/ML libraries to write production-grade code. Apply prompt engineering techniques and build GenAI solutions from scratch. Train and βine-tune open-source models using modern frameworks. Implement AI Ops workβlows, CI/CD pipelines, and cloud-native deployments. Follow agile and iterative development practices. Technical Skill Requirements Proficient in Python AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) Strong theoretical foundation in AI/ML Hands-on experience with open-source AI/ML frameworks Familiarity with prompt engineering and GenAI tools Understanding of model training, evaluation, and deployment workβlows Awareness of AI Ops and MLOps concepts and practices Comfortable working with cloud-native tools and CI/CD setups Willingness to upskill quickly if lacking in any of the above areas Job Type: Internship Contract length: 6 months Pay: ₹15,000.00 - ₹18,000.00 per month Location Type: In-person Schedule: Day shift Application Question(s): Are you proficient in Python AI ML Libraries(e.g., Scikit-learn, TensorFlow, PyTorch)? Do you have hands-on experience with open-source AI/ML frameworks? Are you comfortable working with cloud-native tools and CI/CD setups? Are you open for 6 months Internship?If yes,when can you start? Work Location: In person Expected Start Date: 01/07/2025

Job Description: We are looking for a passionate and talented Machine Learning Engineer with expertise in Speech Processing to join our team. This role offers the opportunity to work on cutting-edge technologies, develop state-of-the-art solutions, and make a real impact in the field of audio and speech applications. Educational Qualifications: Master’s or PhD in Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Speech Processing. Key Responsibilities: Design and develop advanced machine learning algorithms and pipelines for audio and speech generative models, aiming to achieve state-of-the-art (SOTA) performance. Work hands-on with frameworks for Speaker Diarization , Source Separation , Noise Cancellation , Speaker Recognition , and Automatic Speech Recognition (ASR) . Should be able to build text-to-speech (TTS) synthesizers along with integrated features like voice cloning Emotion Control, Accent Flexibility, Pitch variation, and Expressivity. Research and implement speech-to-speech translation (S2ST) systems with a focus on improving accuracy and efficiency. Conduct experiments on large-scale datasets and address challenges related to domain-shifted conditions. Collaborate with cross-functional teams to integrate speech models into real-world applications. Stay up-to-date with the latest advancements in speech processing and explore ways to apply them effectively. Requirements: Proven experience in implementing and optimizing SOTA frameworks for Speaker Diarization , Source Separation , Noise Cancellation , Speaker Recognition , and ASR . Must have experience working with SOTA TTS frameworks or models, along with a solid understanding of integrating advanced features such as Voice Cloning (including zero-shot, cross-lingual, and code-switched speech generation), Emotion Control, Accent Flexibility, Pitch Variation, and Expressivity. Practical knowledge of handling large-scale datasets and managing experiments under domain shifted conditions. Expertise in S2ST systems and their end-to-end development. Strong programming skills in Python and experience with frameworks such as TensorFlow or PyTorch.

Job Title: AI-ML Engineer Location: Pune Experience: 3–7 Years Job Summary: We are looking for an experienced AI/ML Engineer to join our team and contribute to the development of scalable machine learning systems. You will work across teams to design, implement, and optimize end-to-end ML pipelines in a high-performance, real-time environment. Key Responsibilities: Collaborate with teams in Data Science, Engineering, and Operations to address large-scale ML challenges. Build and manage end-to-end ML pipelines including data processing, training, and deployment. Optimize models for performance, hyperparameter tuning, and training efficiency. Leverage deep learning frameworks and cloud platforms for scalable model deployment. Ensure seamless integration with distributed systems and data ecosystems. Required Skills: 2+ years of Python programming experience. 1+ year in ML methods: classification, clustering, recommendation, optimization, graph mining, or deep learning. 2+ years Experience with distributed frameworks (Hadoop, Spark, Kubernetes). 2+ years Experience with DL tools like TensorFlow, PyTorch, or Keras. 2+ years Experience with Cloud experience (AWS/GCP/Azure). Excellent communication skills. Must Have : Prior AdTech experience (DSP, SSP, Ad Exchange). M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related field.

Roles & Responsibilities Design, implement, and train deep learning models for: Text-to-Speech (e.g., SpeechT5, StyleTTS2, YourTTS, XTTS-v2 or similar models) Voice Cloning with speaker embeddings (x-vectors, d-vectors), few-shot adaptation, prosody and emotion transfer Engineer multilingual audio-text preprocessing pipelines: Text normalization, grapheme-to-phoneme (G2P) conversion, Unicode normalization (NFC/NFD) Silence trimming, VAD-based audio segmentation, audio enhancement for noisy corpora, speech prosody modification and waveform manipulation Build scalable data loaders using PyTorch for: Large-scale, multi-speaker datasets with variable-length sequences and chunked streaming Extract and process acoustic features: Log-mel spectrograms, pitch contours, MFCCs, energy, speaker embeddings Optimize training using: Mixed precision (FP16/BFloat16), gradient checkpointing, label smoothing, quantization-aware training Build serving infrastructure for inference using: TorchServe, ONNX Runtime, Triton Inference Server, FastAPI (for REST endpoints), including batch and real-time modes Optimize models for production: Quantization, model pruning, ONNX conversion, parallel decoding, GPU/CPU memory profiling Create automated and human evaluation logics: MOS, PESQ, STOI, BLEU, WER/CER, multi-speaker test sets, multilingual subjective listening tests Implement ethical deployment safeguards: Digital watermarking, impersonation detection, and voice verification for cloned speech Conduct literature reviews and reproduce state-of-the-art papers; adapt and improve on open benchmarks Mentor junior contributors, review code, and maintain shared research and model repositories Collaborate across teams (MLOps, backend, product, linguists) to translate research into deployable, user-facing solutions Required Skills Advanced proficiency in Python and PyTorch (TensorFlow a plus) Strong grasp of deep learning concepts: Sequence-to-sequence models, Transformers, autoregressive and non-autoregressive decoders, attention mechanisms, VAEs, GANs Experience with modern speech processing toolkits: ESPnet, NVIDIA NeMo, Coqui TTS, OpenSeq2Seq, or equivalent Design custom loss function for custom models based on: Mel loss, GAN loss, KL divergence, attention losses, etc.,, learning rate schedules, training stability Hands-on experience with multilingual and low-resource language modeling Understanding of transformer architecture, LLMs and working with existing AI models, tools and APIs Model serving & API integration: TorchServe, FastAPI, Docker, ONNX Runtime Preferred (Bonus) Skills CUDA kernel optimization, custom GPU operations, memory footprint profiling Experience deploying on AWS/GCP with GPU acceleration Experience developing RESTful APIs for real-time TTS/voice cloning endpoints Publications or open-source contributions in TTS, ASR, or speech processing Working knowledge of multilingual translation pipelines Knowledge of speaker diarization, voice anonymization, and speech synthesis for agglutinative/morphologically rich languages Milestones & Expectations (First 3–6 Months) Deliver at least one production-ready TTS or Voice Cloning model integrated with India Speaks’ Dubbing Studio or SaaS APIs Create a fully reproducible experiment pipeline for multilingual speech modeling, complete with model cards and performance benchmarks Contribute to custom evaluation tools for measuring quality across Indian languages Deploy optimized models to live staging environments using Triton, TorchServe, or ONNX Demonstrate impact through real-world integration in education, media, or defence deployments

Job Title: Solution Architect – AI & Automation About the Role: We are seeking a highly skilled and visionary Solution Architect to lead the design and implementation of cutting-edge solutions in Artificial Intelligence (AI), Generative AI and Automation. This role requires a blend of technical expertise, strategic thinking, and leadership to drive innovation and deliver scalable, high-impact solutions across the organization. Experience Level: 10+ Years Experience in AI/ML, GenAI and automation domains Responsibilities: Design end-to-end AI and automation solutions aligned with business goals and technical requirements. Participate in business requirements discussions and arrive at solution, Technical architecture considering all aspects of the business problem. Define architecture blueprints, integration patterns, and data pipelines for AI-driven systems. Evaluate and select appropriate AI models, automation tools (e.g., RPA, BPM), and cloud platforms. Ensure scalability, security, and performance of deployed solutions. Stay current with emerging technologies and industry trends in AI, ML, NLP, computer vision, and automation. Provide technical leadership and mentorship to engineering teams. Participate in pre-sales and client engagements to define solution strategies and roadmaps. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or related field. Proven experience in architecting and deploying Generative AI solutions in production environments in Azure, GCP, AWS etc. Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with automation platforms (e.g., UiPath, Automation Anywhere, Power Automate). Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of data engineering, APIs, and microservices architecture. Excellent communication and stakeholder management skills. Preferred Skills: Certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Azure AI Engineer). Experience with MLOps, model monitoring, and CI/CD pipelines. Familiarity with ethical AI practices and data privacy regulations.

Job Title: AI/ML Developer Location : Sahibzada Ajit Singh Nagar, Punjab, India | Job Type: Full-Time Summary: We are seeking an experienced AI/ML professional with strong Python skills, Django/Flask expertise, and hands-on experience in deploying applications on AWS. The ideal candidate will also be proficient in Django Rest Framework (DRF), ML frameworks like PyTorch and TensorFlow, and transformer architectures such as BERT or GPT. Key Responsibilities: Develop web apps with Django & Flask Build RESTful APIs using DRF Deploy & manage on AWS (EC2, S3, RDS, Lambda, CloudFormation) Integrate AI/ML APIs into systems Build ML models (PyTorch, TensorFlow, scikit-learn) Implement transformers for NLP (e.g., BERT, GPT) Optimize models (tuning, pruning, quantization) Deploy models via TensorFlow Serving, Torch Serve, and Sage Maker Ensure performance, scalability, and reliability Collaborate across teams & deliver solutions Write clean, efficient, maintainable code Conduct code reviews Stay updated on AI/ML trends Qualifications: Bachelor’s in CS, Engineering, or related field Strong Python skills Django & Flask experience AWS deployment knowledge Proficient in DRF, PyTorch, TensorFlow, scikit-learn Experience with transformers for NLP SQL/NoSQL (PostgreSQL, MongoDB) knowledge Familiar with MLOps practices Basic front-end tech knowledge (HTML, CSS, JS) Excellent problem-solving & communication skills

Experience: 5 to 10 Years Must Have Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP Experience in CDP implementation and marketing analytics Experience in Python, SQL and AI/ML Frameworks Experience in Azure Data Factory, Databricks, Synapse, Snowflake Experience deploying GenAI applications Qualifications Bachelor's or master’s degree in computer science, Data Science, Marketing Analytics, or a related field. 5+ years of experience in CDP implementation and marketing analytics. Hands-on experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory). Exposure to MLOps practices and model monitoring pipelines. Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers). Experience deploying GenAI applications and understanding of LLM frameworks. Familiarity with campaign attribution models, marketing funnels, and retention strategies. Excellent analytical, communication, and stakeholder management skills. About The Role We are excited to welcome a highly skilled CDP & Marketing Analytics Specialist to join our dynamic digital transformation team. The ideal candidate will possess hands-on experience with Customer Data Platforms (CDPs) and exhibit a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will play a pivotal role in driving data-driven decision-making and enabling hyper-personalized marketing at scale. Key Responsibilities Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP. Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc. Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies. Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters). Skills: cdp,mparticle,genai applications,ai/ml frameworks,ml,hightouch,transformers,synapse,customer data,snowflake,spacy,azure data factory,salesforce cdp,nlp techniques,azure,platforms,marketing analytics,treasure data,databricks,segment,simon data,nltk,python,analytics,amperity,sql,mlops practices

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

Role - Data Scientist Experience - 13+ years Work Location - Remote Notice Period - I mmediate Joiners Mandatory Skills - Any LLM, Fine Tuning, ML Ops, Cloud Key Responsibilities: Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training. Model Development and Fine-Tuning:Research and implement state-of-the-art NLP models, focusing on pre-training as well instructiontuning pre-trained LLMs for mortgage-specific applications.Utilize techniques like RLHF to improve model alignment with human preferences and enhance decision-making capabilities. Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency. Experiment with different architectures and open-source models to identify the best fit for project requirements. Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable. Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements. Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility. Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, and implementing strategies to mitigate them. Required Skills: Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch. NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models. Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis. Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches. Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders. Preferred Qualifications: Educational Background: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field. Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions. Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation. Applicants can connect with Abhishek for more details Email - abhishek.m@livecjobs.com WhatsApp - 9154908075

We are looking for a technically adept and instructionally strong AI Developer with core expertise in Python, Large Language Models (LLMs), prompt engineering, and vector search frameworks such as FAISS, LlamaIndex, or RAG-based architectures. The ideal candidate combines solid foundations in data science, statistics, and machine learning development with a hands-on understanding of ML DevOps, model selection, and deployment pipelines. 3–4 years of experience in applied machine learning or AI development, including at least 1–2 years working with LLMs, prompt engineering, or vector search systems. Core Skills Required Python: Advanced-level expertise in scripting, data manipulation, and model development LLMs (Large Language Models): Practical experience with GPT, LLaMA, Mistral, or open- source transformer models Prompt Engineering: Ability to design, optimize, and instruct on prompt patterns for various use cases Vector Search & RAG: Understanding of feature vectors, nearest neighbor search, and retrieval-augmented generation (RAG) using tools like FAISS, Pinecone, Chroma, or Weaviate LlamaIndex: Experience building AI applications using LlamaIndex, including indexing documents and building query pipelines Rack Knowledge: Familiarity with RACK architecture, model placement, and scaling on distributed hardware ML / ML DevOps: Knowledge of full ML lifecycle including feature engineering, model selection, training, and deployment Data Science & Statistics: Solid grounding in statistical modeling, hypothesis testing, probability, and computing concepts Responsibilities Design and develop AI pipelines using LLMs and traditional ML models Build, fine-tune, and evaluate large language models for various NLP tasks Design prompts and RAG-based systems to optimize output relevance and factual grounding Implement and deploy vector search systems integrated with document knowledge bases Select appropriate models based on data and business requirements Perform data wrangling, feature extraction, and model training Develop training material, internal documentation, and course content (especially around Python and AI development using LlamaIndex) Work with DevOps to deploy AI solutions efficiently using containers, CI/CD, and cloud infrastructure Collaborate with data scientists and stakeholders to build scalable, interpretable solutions Maintain awareness of emerging tools and practices in AI and ML ecosystems Preferred Tools & Stack Languages: Python, SQL ML Frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers Vector DBs: FAISS, Pinecone, Chroma, Weaviate RAG Tools: LlamaIndex, LangChain ML Ops: MLflow, DVC, Docker, Kubernetes, GitHub Actions Data Tools: Pandas, NumPy, Jupyter Visualization: Matplotlib, Seaborn, Streamlit Cloud: AWS/GCP/Azure (S3, Lambda, Vertex AI, SageMaker) Ideal Candidate Background in Data Science, Statistics, or Computing Passionate about emerging AI tech, LLMs, and real-world applications Demonstrates both hands-on coding skills and teaching/instructional abilities Capable of building reusable, explainable AI solutions Location gurgaon sector 49 APPLY NOW

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-effective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 2 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers. Experience with large language models (GPT-4, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs. Nice to have: Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI! Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.